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Sample records for machining process planning

  1. Concurrent Process Planning for Machined Parts

    Institute of Scientific and Technical Information of China (English)

    吴丹; 王先逵; 李志忠

    2002-01-01

    Detailed manufacturing information about the parts can help designers produce better designs. Detailed manufacturing information is conveyed to the designer through micro-circles within the concurrent design process for machined parts, focusing on instantaneous product design and process planning. The process has three key elements: a hierarchical architecture design of the concurrent process planning system, modeling and reengineering of the concurrent process planning, and modeling of information. The approach is successfully implemented and applied for concurrent design and process planning of some complicated parts.

  2. Framework of Digital Machining Process Planning Platform for Cylinder Body Part

    Institute of Scientific and Technical Information of China (English)

    MA Yu-min; FAN Liu-qun; ZHU Zhi-hao; ZHANG Hao

    2007-01-01

    Digital factory technology is an advanced manufacturing technology served as to establish a bridge between the process of product development and manufacturing. In terms of application for digital factory technology in machining, especially in machining of a complicated part such as a cylinder body part, a concept of digital process planning and its framework are proposed. Its components including machining domain knowledge model, machining knowledge base, machining resource base and process planning system are studied. A machining knowledge model in tree form and an object-driven knowledge reasoning mechanism are used for machining knowledge base. The process planning system is a user interface that leads a planner to finish the planning process. A case about a cylinder head part is given to demonstrate how the platform works. The framework of digital process planning is the foundation of some intelligent CAPP systems and helps to production line planning.

  3. An optimal setup planning selection approach in a complex product machining process

    Science.gov (United States)

    Zhu, Fang

    2011-10-01

    Setup planning has very important influence on the product quality in a Complex Product Machining Process (CPMP). Part production in a CPMP involves multiple setup plans, which will lead into variation propagation and lead to extreme complexity in final product quality. Current approaches of setup planning in a CPMP are experience-based that lead to adopt higher machining process cost to ensure the final product quality, and most approaches are used for a single machining process. This work attempts to solve those challenging problems and aims to develop a method to obtain an optimal setup planning in a CPMP, which can satisfies the quality specifications and minimizes the expected value of the sum of machining costs. To this end, a machining process model is established to describe the variation propagation effect of setup plan throughout all stages in a CPMP firstly and then a quantitative setup plan evaluation methods driven by cost constraint is proposed to clarify what is optimality of setup plans. Based on the above procedures, an optimal setup planning is obtained through a dynamic programming solver. At last, a case study is provided to illustrate the validity and the significance of the proposed setup planning selective method.

  4. Feature Based Machining Process Planning Modeling and Integration for Life Cycle Engineering

    Institute of Scientific and Technical Information of China (English)

    LIU Changyi

    2006-01-01

    Machining process data is the core of computer aided process planning application systems. It is also provides essential content for product life cycle engineering. The character of CAPP that supports product LCE and virtual manufacturing is analyzed. The structure and content of machining process data concerning green manufacturing is also examined. A logic model of Machining Process Data has been built based on an object oriented approach, using UML technology and a physical model of machining process data that utilizes XML technology. To realize the integration of design and process, an approach based on graph-based volume decomposition was apposed. Instead, to solve the problem of generation in the machining process, case-based reasoning and rule-based reasoning have been applied synthetically. Finally, the integration framework and interface that deal with the CAPP integration with CAD, CAM, PDM, and ERP are discussed.

  5. Application of neural network method to process planning in ship pipe machining

    Institute of Scientific and Technical Information of China (English)

    ZHONG Yu-guang; QIU Chang-hua; SHI Dong-yan

    2004-01-01

    Based on artificial neural network for process planning decision in ship pipe manufacturing, a novel method is established by analyzing process characteristics of the ship pipe machining. The process knowledge of pipe machining is shifted from the expression of the external rules to the description of the internal net weight value in order for the net inferring engine to decide the process route of pipe machining rapidly and rightly. Simulation shows that the method can resolve problems of process decision, and overcome the drawbacks of "matching difficulty" and "combination explosion" in traditional intelligent CAPP based on symbol reasoning.

  6. Process planning optimization on turning machine tool using a hybrid genetic algorithm with local search approach

    Directory of Open Access Journals (Sweden)

    Yuliang Su

    2015-04-01

    Full Text Available A turning machine tool is a kind of new type of machine tool that is equipped with more than one spindle and turret. The distinctive simultaneous and parallel processing abilities of turning machine tool increase the complexity of process planning. The operations would not only be sequenced and satisfy precedence constraints, but also should be scheduled with multiple objectives such as minimizing machining cost, maximizing utilization of turning machine tool, and so on. To solve this problem, a hybrid genetic algorithm was proposed to generate optimal process plans based on a mixed 0-1 integer programming model. An operation precedence graph is used to represent precedence constraints and help generate a feasible initial population of hybrid genetic algorithm. Encoding strategy based on data structure was developed to represent process plans digitally in order to form the solution space. In addition, a local search approach for optimizing the assignments of available turrets would be added to incorporate scheduling with process planning. A real-world case is used to prove that the proposed approach could avoid infeasible solutions and effectively generate a global optimal process plan.

  7. Optimization process planning using hybrid genetic algorithm and intelligent search for job shop machining.

    Science.gov (United States)

    Salehi, Mojtaba; Bahreininejad, Ardeshir

    2011-08-01

    Optimization of process planning is considered as the key technology for computer-aided process planning which is a rather complex and difficult procedure. A good process plan of a part is built up based on two elements: (1) the optimized sequence of the operations of the part; and (2) the optimized selection of the machine, cutting tool and Tool Access Direction (TAD) for each operation. In the present work, the process planning is divided into preliminary planning, and secondary/detailed planning. In the preliminary stage, based on the analysis of order and clustering constraints as a compulsive constraint aggregation in operation sequencing and using an intelligent searching strategy, the feasible sequences are generated. Then, in the detailed planning stage, using the genetic algorithm which prunes the initial feasible sequences, the optimized operation sequence and the optimized selection of the machine, cutting tool and TAD for each operation based on optimization constraints as an additive constraint aggregation are obtained. The main contribution of this work is the optimization of sequence of the operations of the part, and optimization of machine selection, cutting tool and TAD for each operation using the intelligent search and genetic algorithm simultaneously.

  8. Decomposition of forging dies for machining planning

    CERN Document Server

    Tapie, Laurent; Anselmetti, Bernard

    2009-01-01

    This paper will provide a method to decompose forging dies for machining planning in the case of high speed machining finishing operations. This method lies on a machining feature approach model presented in the following paper. The two main decomposition phases, called Basic Machining Features Extraction and Process Planning Generation, are presented. These two decomposition phases integrates machining resources models and expert machining knowledge to provide an outstanding process planning.

  9. Decomposition of forging dies for machining planning

    OpenAIRE

    Tapie, Laurent; Mawussi, Kwamiwi; Anselmetti, Bernard

    2009-01-01

    International audience; This paper will provide a method to decompose forging dies for machining planning in the case of high speed machining finishing operations. This method lies on a machining feature approach model presented in the following paper. The two main decomposition phases, called Basic Machining Features Extraction and Process Planning Generation, are presented. These two decomposition phases integrates machining resources models and expert machining knowledge to provide an outs...

  10. Setup planning for machining

    CERN Document Server

    Hazarika, Manjuri

    2015-01-01

    Professionals as well as researchers can benefit from this comprehensive introduction into the topic of setup planning, which reflects the latest state of research and gives hands-on examples. Starting with a brief but thorough introduction, this book explains the significance of setup planning in process planning and includes a reflection on its external constraints. Step-by-step the different phases of setup planning are outlined and traditional as well as modern approaches, such as fuzzy logic based setup planning, on the solution of setup planning problems are presented. Three detailed examples of applications provide a clear and accessible insight into the up-to-date techniques and various approaches in setup planning.

  11. Machine learning methods for planning

    CERN Document Server

    Minton, Steven

    1993-01-01

    Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning.Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credi

  12. Automated process planning system

    Science.gov (United States)

    Mann, W.

    1978-01-01

    Program helps process engineers set up manufacturing plans for machined parts. System allows one to develop and store library of similar parts characteristics, as related to particular facility. Information is then used in interactive system to help develop manufacturing plans that meet required standards.

  13. Electrochemical Discharge Machining Process

    Directory of Open Access Journals (Sweden)

    Anjali V. Kulkarni

    2007-09-01

    Full Text Available Electrochemical discharge machining process is evolving as a promising micromachiningprocess. The experimental investigations in the present work substantiate this trend. In the presentwork, in situ, synchronised, transient temperature and current measurements have been carriedout. The need for the transient measurements arose due to the time-varying nature of the dischargeformation and time varying circuit current. Synchronised and transient measurements revealedthe discrete nature of the process. It also helped in formulating the basic mechanism for thedischarge formation and the material removal in the process. Temperature profile on workpieceand in electrochemical discharge machining cell is experimentally measured using pyrometer,and two varieties of K-type thermocouples. Surface topography of the discharge-affected zoneson the workpiece has been carried out using scanning electron microscope. Measurements andsurface topographical studies reveal the potential use of this process for machining in micronregime. With careful experimental set-up design, suitable supply voltage and its polarity, theprocess can be applied for both micromachining and micro-deposition. It can be extended formachining and or deposition of wide range of materials.

  14. Machine Process Capability Information Through Six Sigma

    Energy Technology Data Exchange (ETDEWEB)

    Lackner, M.F.

    1998-03-13

    A project investigating details concerning machine process capability information and its accessibility has been conducted. The thesis of the project proposed designing a part (denoted as a machine capability workpiece) based on the major machining features of a given machine. Parts are machined and measured to gather representative production, short-term variation. The information is utilized to predict the expected defect rate, expressed in terms of a composite sigma level process capability index, for a production part. Presently, decisions concerning process planning, particularly what machine will statistically produce the minimum amount of defects based on machined features and associated tolerances, are rarely made. Six sigma tools and methodology were employed to conduct this investigation at AlliedSignal FM and T. Tools such as the thought process map, factor relationship diagrams, and components of variance were used. This study is progressing toward completion. This research study was an example of how machine process capability information may be gathered for milling planar faces (horizontal) and slot features. The planning method used to determine where and how to gather variation for the part to be designed is known as factor relationship diagramming. Components-of-variation is then applied to the gathered data to arrive at the contributing level of variation illustrated within the factor relationship diagram. The idea of using this capability information beyond process planning to the other business enterprise operations is proposed.

  15. Nontraditional machining processes research advances

    CERN Document Server

    2013-01-01

    Nontraditional machining employs processes that remove material by various methods involving thermal, electrical, chemical and mechanical energy or even combinations of these. Nontraditional Machining Processes covers recent research and development in techniques and processes which focus on achieving high accuracies and good surface finishes, parts machined without burrs or residual stresses especially with materials that cannot be machined by conventional methods. With applications to the automotive, aircraft and mould and die industries, Nontraditional Machining Processes explores different aspects and processes through dedicated chapters. The seven chapters explore recent research into a range of topics including laser assisted manufacturing, abrasive water jet milling and hybrid processes. Students and researchers will find the practical examples and new processes useful for both reference and for developing further processes. Industry professionals and materials engineers will also find Nontraditional M...

  16. Machine intelligence and signal processing

    CERN Document Server

    Vatsa, Mayank; Majumdar, Angshul; Kumar, Ajay

    2016-01-01

    This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning – instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intel...

  17. Hybrid machining processes perspectives on machining and finishing

    CERN Document Server

    Gupta, Kapil; Laubscher, R F

    2016-01-01

    This book describes various hybrid machining and finishing processes. It gives a critical review of the past work based on them as well as the current trends and research directions. For each hybrid machining process presented, the authors list the method of material removal, machining system, process variables and applications. This book provides a deep understanding of the need, application and mechanism of hybrid machining processes.

  18. Research on Framework of Digital Process Planning Platform

    Institute of Scientific and Technical Information of China (English)

    MA Yumin; FAN Liuqun; ZHU Zhihao; ZHANG Hao

    2006-01-01

    Digital factory technology is a research focus in academe and industry, which is an advanced manufacturing technology that is proposed to bridge product development and manufacturing. For applying digital factory technology in machining domain, a concept of digital process planning and its framework are suggested, its components including machining domain knowledge model, machining knowledge base, machining resource base and process planning system are studied. The framework of digital process planning is of value for implementing digital factory technology in machining industry.

  19. Traditional machining processes research advances

    CERN Document Server

    2015-01-01

    This book collects several examples of research in machining processes. Chapter 1 provides information on polycrystalline diamond tool material and its emerging applications. Chapter 2 is dedicated to the analysis of orthogonal cutting experiments using diamond-coated tools with force and temperature measurements. Chapter 3 describes the estimation of cutting forces and tool wear using modified mechanistic models in high performance turning. Chapter 4 contains information on cutting under gas shields for industrial applications. Chapter 5 is dedicated to the machinability of magnesium and its alloys. Chapter 6 provides information on grinding science. Finally, chapter 7 is dedicated to flexible integration of shape and functional modelling of machine tool spindles in a design framework.    

  20. Study On Machining Processing Technology Risk Control

    Institute of Scientific and Technical Information of China (English)

    Li Xiqing

    2015-01-01

    In the industrial production process,only to ful y guarantee the machining production safety, it can been ensured that the smooth completion of machining process.Under this back ground,in the machining production process,the machinery processing safety would been ful y concerned,several factors, which may lead to the problem of mechanical processing and production process,were analyzed,and the relevant control strategies were researched.In view of this situation,this paper wil specifical y combined with the machining process characteristics to study the machining process manufacturability risk control.

  1. 三维工艺设计中基于加工特征的工序模型生成技术%Generation of Intermediate Process Model Based on Machining Features in 3D Process Planning

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

    In the 3D process design of machining part, according to machining features such as shape, dimensional tolerance and so on, then carry out process design and process planning, and generate entity modal of every working process from the blank part to the final part. Geometric topology structure and manufacturing process information are combined to set a feature definition and classification system for machining. The concept of intermediate process model and the model recovery method automatically-generated in an intermediate process model is put forward on the basis of feature recognition and 3D process design technology. According to process method and process parameter of each machining feature, automatically generate intermediate process model based on part processing rout. The test results proved that the method offers reference to achieve 3D model-based machining process design.%  在机械加工零件三维工艺设计中,需要根据零件的形状、尺寸公差等识别加工特征,按照加工特征进行工艺设计和工艺路线规划,生成从零件毛坯到最终零件的各个工序的实体模型。结合零件的几何拓扑结构和制造工艺信息,建立一套面向机械加工的特征定义和分类体系,在特征识别和三维工艺设计技术的基础上,提出中间工序模型的概念和中间工序模型自动生成的模型恢复方法,根据各个加工特征的工艺方法和工艺参数,按照零件的加工路线自动生成中间工序模型。实例验证结果证明,该方法可为实现基于三维模型的机加工艺设计提供参考。

  2. Microelectrical Discharge Machining: A Suitable Process for Machining Ceramics

    Directory of Open Access Journals (Sweden)

    Andreas Schubert

    2015-01-01

    Full Text Available Today ceramics are used in many industrial applications, for example, in the biomedical field, for high-temperature components or for cutting tools. This is attributed to their excellent mechanical and physical properties, as low density, high strength, and hardness or chemical resistance. However, these specific mechanical properties lead to problems regarding the postprocessing of ceramics. In particular, cutting processes require expensive tools which cause high manufacturing costs to machine ceramics. Consequently, there is a demand for alternative machining processes. Microelectrical discharge machining (micro-EDM is a thermal abrasion process which is based on electrical discharges between a tool and a workpiece. The advantages of micro-EDM are more and more in focus for ceramic machining. These advantages include the process of being a noncontact technology, an independency of material brittleness and hardness, a low impact on the material, and the achievable microstructures. This paper presents the current state of investigations regarding micro-EDM of ceramics. Beside the process principle of EDM, the used procedures for machining ceramics and insulating ceramics are described. Furthermore several machining examples are presented to demonstrate the possibilities of the micro-EDM process with regard to the machining of ceramics.

  3. Planificación del proceso de fresado de una pieza compleja utilizando una máquina herramienta virtual//Milling process planning of a complex workpiece using a virtual machine tool

    Directory of Open Access Journals (Sweden)

    Jorge‐Andrés García‐Barbosa

    2014-08-01

    Full Text Available Se diseñó y se fabricó exitosamente una pieza experimental compleja compuesta de superficies con curvatura cero, positiva y negativa. Se planificó y se ejecutó el proceso de fabricación por maquinado usando el proceso de fresado con herramientas de punta esférica en un centro de maquinado vertical equipado con un cuarto eje de rotación externo. Para la planificación, simulación y verificación del proceso se desarrolló un modelo virtual de la máquina herramienta disponible y sus accesorios en un sistema comercial de maquinado asistido por computador. Se implementó el montaje virtual del sistema de manufactura con el que se verificó y se ajustó el proceso hasta observar un buen desempeño. Se comprobaron así las ventajas de utilizar los recientes métodos virtuales ofrecidos por varios sistemas de maquinado asistido por computador para la simulación del proceso, especialmente cuando se trata de componentes complejos procesados en máquinas herramienta de más de tres ejes.Palabras claves: máquinas herramienta virtuales, planificación de procesos, maquinado de piezas complejas, simulación y verificación de procesos, maquinado multiejes.______________________________________________________________________________AbstractWe designed and successfully manufactured a complex experimental piece composed of surfaces with zero, positive and negative curvatures. We planned and executed the machining manufacturing process by using milling process with end ball nose tools on a vertical machining center equipped with a fourth external rotational axis. For planning, simulation and verification of the machiningprocess, we developed a virtual model of the machine tool and its accessories in a commercial system for computer aided machining. By mounting the virtual manufacturing system, we verified the process and adjusted it until observe a good performance. We tested and confirmed the advantages of using the recent virtual methods for

  4. Machine scheduling with resource dependent processing times

    NARCIS (Netherlands)

    Grigoriev, A.; Sviridenko, M.; Uetz, Marc Jochen

    We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the processing time of any job is dependent on the usage of a discrete renewable resource, e.g. workers. A given amount of that

  5. On the numerical simulation of machining processes

    OpenAIRE

    Vaz Jr.,M.

    2000-01-01

    Numerical simulation of machining processes can be traced back to the early seventies when finite element models for continuous chip formation were proposed. The advent of fast computers and development of new techniques to model large plastic deformations have favoured machining simulation. Relevant aspects of finite element simulation of machining processes are discussed in this paper, such as solution methods, material models, thermo-mechanical coupling, friction models, chip separation an...

  6. Evaluation of machining dispersions for turning process

    CERN Document Server

    Lefebvre, Arnaud

    2008-01-01

    In this article we propose to extend the model of simulation of dispersions in turning based on the geometrical specifications. Our study is articulated around two trends of development: the first trend relates to the geometrical model. The geometrical model suggested must allow a follow-up of the geometry of the part during the simulation of machining. It is thus a question of carrying out a systematic treatment of the whole dimensioning and tolerancing process while being based on the principles of the \\DeltaL method. We also planned to integrate this type of specification in the model of simulation of machining suggested. It is more generally a question of extending the traditional model for better taking into account the multi axis specification of coaxiality and perpendicularity on the turned workpieces. The second trend of our study relates to the widening of the field of application of the model. We propose to extend the field of application of the model by taking into account the modifications of seve...

  7. Research Planning Process

    Science.gov (United States)

    Lofton, Rodney

    2010-01-01

    This presentation describes the process used to collect, review, integrate, and assess research requirements desired to be a part of research and payload activities conducted on the ISS. The presentation provides a description of: where the requirements originate, to whom they are submitted, how they are integrated into a requirements plan, and how that integrated plan is formulated and approved. It is hoped that from completing the review of this presentation, one will get an understanding of the planning process that formulates payload requirements into an integrated plan used for specifying research activities to take place on the ISS.

  8. Finite Element Method in Machining Processes

    CERN Document Server

    Markopoulos, Angelos P

    2013-01-01

    Finite Element Method in Machining Processes provides a concise study on the way the Finite Element Method (FEM) is used in the case of manufacturing processes, primarily in machining. The basics of this kind of modeling are detailed to create a reference that will provide guidelines for those who start to study this method now, but also for scientists already involved in FEM and want to expand their research. A discussion on FEM, formulations and techniques currently in use is followed up by machining case studies. Orthogonal cutting, oblique cutting, 3D simulations for turning and milling, grinding, and state-of-the-art topics such as high speed machining and micromachining are explained with relevant examples. This is all supported by a literature review and a reference list for further study. As FEM is a key method for researchers in the manufacturing and especially in the machining sector, Finite Element Method in Machining Processes is a key reference for students studying manufacturing processes but al...

  9. Cassini science planning process

    Science.gov (United States)

    Paczkowski, Brian G.; Ray, Trina L.

    2004-01-01

    The mission design for Cassini-Huygens calls for a four-year orbital survey of the Saturnian system and the descent into the Titan atmosphere and eventual soft-landing of the Huygens probe. The Cassini orbiter tour consists of 76 orbits around Saturn with 44 close Titan flybys and 8 targeted icy satellite flybys. The Cassini orbiter spacecraft carries twelve scientific instruments that will perform a wide range of observations on a multitude of designated targets. The science opportunities, frequency of encounters, the length of the Tour, and the use of distributed operations pose significant challenges for developing the science plan for the orbiter mission. The Cassini Science Planning Process is the process used to develop and integrate the science and engineering plan that incorporates an acceptable level of science required to meet the primary mission objectives far the orbiter. The bulk of the integrated science and engineering plan will be developed prior to Saturn Orbit Insertion (Sol). The Science Planning Process consists of three elements: 1) the creation of the Tour Atlas, which identifies the science opportunities in the tour, 2) the development of the Science Operations Plan (SOP), which is the conflict-free timeline of all science observations and engineering activities, a constraint-checked spacecraft pointing profile, and data volume allocations to the science instruments, and 3) an Aftermarket and SOP Update process, which is used to update the SOP while in tour with the latest information on spacecraft performance, science opportunities, and ephemerides. This paper will discuss the various elements of the Science Planning Process used on the Cassini Mission to integrate, implement, and adapt the science and engineering activity plans for Tour.

  10. SU-E-T-173: Clinical Comparison of Treatment Plans and Fallback Plans for Machine Downtime

    Energy Technology Data Exchange (ETDEWEB)

    Cruz, W [University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Cancer Therapy and Research Center, San Antonio, TX (United States); Papanikolaou, P [University of Texas Health Science Center at San Antonio, San Antonio, TX (United States); Mavroidis, P [University of North Carolina, Chapel Hill, NC (United States); Stathakis, S [Cancer Therapy and Research Center, San Antonio, TX (United States)

    2015-06-15

    Purpose: The purpose of this study was to determine the clinical effectiveness and dosimetric quality of fallback planning in relation to machine downtime. Methods: Plans for a Varian Novalis TX were mimicked, and fallback plans using an Elekta VersaHD machine were generated using a dual arc template. Plans for thirty (n=30) patients of various treatment sites optimized and calculated using RayStation treatment planning system. For each plan, a fall back plan was created and compared to the original plan. A dosimetric evaluation was conducted using the homogeneity index, conformity index, as well as DVH analysis to determine the quality of the fallback plan on a different treatment machine. Fallback plans were optimized for 60 iterations using the imported dose constraints from the original plan DVH to give fallback plans enough opportunity to achieve the dose objectives. Results: The average conformity index and homogeneity index for the NovalisTX plans were 0.76 and 10.3, respectively, while fallback plan values were 0.73 and 11.4. (Homogeneity =1 and conformity=0 for ideal plan) The values to various organs at risk were lower in the fallback plans as compared to the imported plans across most organs at risk. Isodose difference comparisons between plans were also compared and the average dose difference across all plans was 0.12%. Conclusion: The clinical impact of fallback planning is an important aspect to effective treatment of patients. With the complexity of LINACS increasing every year, an option to continue treating during machine downtime remains an essential tool in streamlined treatment execution. Fallback planning allows the clinic to continue to run efficiently should a treatment machine become offline due to maintenance or repair without degrading the quality of the plan all while reducing strain on members of the radiation oncology team.

  11. Financial signal processing and machine learning

    CERN Document Server

    Kulkarni,Sanjeev R; Dmitry M. Malioutov

    2016-01-01

    The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these disciplines, offering the latest information on key topics including characterizing statistical dependence and correlation in high dimensions, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing approaches to model return, momentum, and mean reversion, addressing theoretical and implementation aspects. It highlights the connections between portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures, graphical models, causal analy...

  12. Combining human and machine processes (CHAMP)

    Science.gov (United States)

    Sudit, Moises; Sudit, David; Hirsch, Michael

    2015-05-01

    Machine Reasoning and Intelligence is usually done in a vacuum, without consultation of the ultimate decision-maker. The late consideration of the human cognitive process causes some major problems in the use of automated systems to provide reliable and actionable information that users can trust and depend to make the best Course-of-Action (COA). On the other hand, if automated systems are created exclusively based on human cognition, then there is a danger of developing systems that don't push the barrier of technology and are mainly done for the comfort level of selected subject matter experts (SMEs). Our approach to combining human and machine processes (CHAMP) is based on the notion of developing optimal strategies for where, when, how, and which human intelligence should be injected within a machine reasoning and intelligence process. This combination is based on the criteria of improving the quality of the output of the automated process while maintaining the required computational efficiency for a COA to be actuated in timely fashion. This research addresses the following problem areas: • Providing consistency within a mission: Injection of human reasoning and intelligence within the reliability and temporal needs of a mission to attain situational awareness, impact assessment, and COA development. • Supporting the incorporation of data that is uncertain, incomplete, imprecise and contradictory (UIIC): Development of mathematical models to suggest the insertion of a cognitive process within a machine reasoning and intelligent system so as to minimize UIIC concerns. • Developing systems that include humans in the loop whose performance can be analyzed and understood to provide feedback to the sensors.

  13. Computer-aided process planning: Development of an expert process planning system. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Brooks, S.L.; Hummel, K.E.; Wolf, M.L.

    1991-12-01

    The project utilizes artificial intelligence (AI) technology to develop an expert system that will be used to prepare production plans, to automatically make cutting tool selections, and to automatically define machinability parameters and NC tape requirements. The expert system, XCUT, can plan features on moderately complex prismatic machined parts and reduce 2 to 4 hours of manual process effort into 15 or 30 minutes. Areas of future work have been identified that will enable the XCUT system to be used for production. These areas where further development is required are geometric reasoning, representation of manufacturing features, dimensioning and tolerancing, feature extraction, distributed computing architecture, knowledge gathering, and user interfaces.

  14. Computer-aided process planning: Development of an expert process planning system

    Energy Technology Data Exchange (ETDEWEB)

    Brooks, S.L.; Hummel, K.E.; Wolf, M.L.

    1991-12-01

    The project utilizes artificial intelligence (AI) technology to develop an expert system that will be used to prepare production plans, to automatically make cutting tool selections, and to automatically define machinability parameters and NC tape requirements. The expert system, XCUT, can plan features on moderately complex prismatic machined parts and reduce 2 to 4 hours of manual process effort into 15 or 30 minutes. Areas of future work have been identified that will enable the XCUT system to be used for production. These areas where further development is required are geometric reasoning, representation of manufacturing features, dimensioning and tolerancing, feature extraction, distributed computing architecture, knowledge gathering, and user interfaces.

  15. Influence of Process and Machine tool on tolerance

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This note gives a summary of how the process and the machine tool can influence the geometrical tolerances. The note concerns cutting processes and machine tools but many of the considerations can be transferred directly to other types of manufacturing process and machines....

  16. Effect of machining fluid on the process performance of wire electrical discharge machining of nanocomposite ceramic

    Directory of Open Access Journals (Sweden)

    Zhang Chengmao

    2015-01-01

    Full Text Available Wire electric discharge machining (WEDM promise to be effective and economical techniques for the production of tools and parts from conducting ceramic blanks. However, the manufacturing of nanocomposite ceramics blanks with these processes is a long and costly process. This paper presents a new process of machining nanocomposite ceramics using WEDM. WEDM uses water based emulsion, polyvinyl alcohol and distilled water as the machining fluid. Machining fluid is a primary factor that affects the material removal rate and surface quality of WEDM. The effects of emulsion concentration, polyvinyl alcohol concentration and distilled water of the machining fluid on the process performance have been investigated.

  17. Method of determining the process applied for feature machining : experimental validation of a slot

    OpenAIRE

    Martin, Patrick; D'ACUNTO, Alain

    2007-01-01

    International audience; In this paper, we will be evaluating the "manufacturability" levels for several machining processes of "slot" feature. Using the STEP standard, we will identify the slot feature characteristics. Then, using the ascendant generation of process method, we will define the associated milling process. The expertise is based on a methodology relative to the experience plans carried out during the formalization and systematic evaluation of the machining process associated wit...

  18. Rheometry of polymer melts using processing machines

    Science.gov (United States)

    Friesenbichler, Walter; Neunhäuserer, Andreas; Duretek, Ivica

    2016-08-01

    The technology of slit-die rheometry came into practice in the early 1960s. This technique enables engineers to measure the pressure drop very precisely along the slit die. Furthermore, slit-die rheometry widens up the measurable shear rate range and it is possible to characterize rheological properties of complicated materials such as wall slipping PVCs and high-filled compounds like long fiber reinforced thermoplastics and PIM-Feedstocks. With the use of slit-die systems in polymer processing machines e.g., Rauwendaal extrusion rheometer, by-pass extrusion rheometer, injection molding machine rheometers, new possibilities regarding rheological characterization of thermoplastics and elastomers at processing conditions near to practice opened up. Special slit-die systems allow the examination of the pressure-dependent viscosity and the characterization of cross-linking elastomers because of melt preparation and reachable shear rates comparable to typical processing conditions. As a result of the viscous dissipation in shear and elongational flows, when performing rheological measurements for high-viscous elastomers, temperature-correction of the apparent values has to be made. This technique was refined over the last years at Montanuniversitaet. Nowadays it is possible to characterize all sorts of rheological complicated polymeric materials under process- relevant conditions with viscosity values fully temperature corrected.

  19. Human-machine teaming for effective estimation and path planning

    Science.gov (United States)

    McCourt, Michael J.; Mehta, Siddhartha S.; Doucette, Emily A.; Curtis, J. Willard

    2016-05-01

    While traditional sensors provide accurate measurements of quantifiable information, humans provide better qualitative information and holistic assessments. Sensor fusion approaches that team humans and machines can take advantage of the benefits provided by each while mitigating the shortcomings. These two sensor sources can be fused together using Bayesian fusion, which assumes that there is a method of generating a probabilistic representation of the sensor measurement. This general framework of fusing estimates can also be applied to joint human-machine decision making. In the simple case, binary decisions can be fused by using a probability of taking an action versus inaction from each decision-making source. These are fused together to arrive at a final probability of taking an action, which would be taken if above a specified threshold. In the case of path planning, rather than binary decisions being fused, complex decisions can be fused by allowing the human and machine to interact with each other. For example, the human can draw a suggested path while the machine planning algorithm can refine it to avoid obstacles and remain dynamically feasible. Similarly, the human can revise a suggested path to achieve secondary goals not encoded in the algorithm such as avoiding dangerous areas in the environment.

  20. Green Project System Design of Machine Process Factory

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    As the specialty of the product and the dim conscio us ness of environmental protection, the status of dirty, chaos and difference is l ong-term existed in the machine process factory. It seriously affects workers' work and living environment, and restricts the total level of the environment p rotection in our country. The project is the fatal scientific research task of H enan province in 2001. As the members' endeavor of task group, we have finished the total plan of green project system and some other ...

  1. Event-driven process execution model for process virtual machine

    Institute of Scientific and Technical Information of China (English)

    WU Dong-yao; WEI Jun; GAO Chu-shu; DOU Wen-shen

    2012-01-01

    Current orchestration and choreography process engines only serve with dedicate process languages. To solve these problems, an Even~driven Process Execution Model (EPEM) was developed. Formalization and map- ping principles of the model were presented to guarantee the correctness and efficiency for process transformation. As a case study, the EPEM descriptions of Web Services Business Process Execution Language (WS~BPEL) were represented and a Process Virtual Machine (PVM)-OncePVM was implemented in compliance with the EPEM.

  2. Process Planning Support System for Green Manufacturing and its application

    Institute of Scientific and Technical Information of China (English)

    HE Yan; LIU Fei; CAO Huajun; ZHANG Hua

    2007-01-01

    Owing to a lack of practical methods and soft- ware tools in the existing researches on green manufacturing (GM), process planning support system for green manufac- turing (GMPPSS) was developed to deal with the problems in optimization of environment-benign process planning. The GMPPSS consisted mainly of three function modules and related model repositories including: selection of process elements, optimization of process courses, and evaluation of process projects for GM. The database of the GMPPSS was used to provide plentiful information on resources consump- tion and environmental impact in manufacturing processes, which consisted of process attribute database, inventory database, machine database, tool database, and the cutting fluid database. Raw materials, secondary material consump- tion, energy consumption, and environment impacts of pro- cess planning were optimized to improve the green attribute of process planning of parts with the supports of the data- bases and model repositories. The gear processing in the machining tool factory was presented to verify the system's applicability.

  3. Hierarchical planning for a surface mounting machine placement

    Institute of Scientific and Technical Information of China (English)

    曾又姣; 马登哲; 金烨; 严隽琪

    2004-01-01

    For a surface mounting machine (SMM) in printed circuit board (PCB) assembly line, there are four problems, e.g. CAD data conversion, nozzle selection, feeder assignment and placement sequence determination. A hierarchical planning for them to maximize the throughput rate of an SMM is presented here. To minimize set-up time, a CAD data conversion system was first applied that could automatically generate the data for machine placement from CAD design data files. Then an effective nozzle selection approach was implemented to minimize the time of nozzle changing. And then, to minimize picking time, an algorithm for feeder assignment was used to make picking multiple components simultaneously as much as possible. Finally, in order to shorten pick-and-place time, a heuristic algorithm was used to determine optimal component placement sequence according to the decided feeder positions. Experiments were conducted on a four head SMM. The experimental results were used to analyse the assembly line performance.

  4. Technological Level of Machines in Production Process of Screws

    Directory of Open Access Journals (Sweden)

    Ingaldi Manuela

    2014-12-01

    Full Text Available The article focuses on analysing one of the elements of technological level in a company using the ABC method. The technological modernity of a machine used during the production process of screws was evaluated. In average, this machine was assigned the score 3.4, meaning that most parts of the machine were manufactured using more complex technologies requiring technical skills and knowledge, and many of them also with modern technologies. This means that the machine examined was quite modern

  5. Some Solution Approaches to Reduce the Imbalance of Workload in Parallel Machines while Planning in Flexible Manufacturing System

    Directory of Open Access Journals (Sweden)

    B.V.Raghavendra,

    2010-05-01

    Full Text Available The loading problem in a Flexible Manufacturing System (FMS is viewed as selecting a subset of jobs from a job pool and allocating the jobs among the machines. Balancing the workload on the parallel machines will reduce the bottleneck and improve the utilization of the machine tools. In this paper an effort is made for developing thestrategies in the pre-release / planning stage which will reduce the imbalance between the parallel machines. Two different strategies are developed and the traditional sequencing shortest and longest rocessing time rule is applied to determine the relative performance index. An illustrative example is accompanies with the shortest processing time.

  6. Experimental Investigation of process parameters influence on machining Inconel 800 in the Electrical Spark Eroding Machine

    Science.gov (United States)

    Karunakaran, K.; Chandrasekaran, M.

    2016-11-01

    The Electrical Spark Eroding Machining is an entrenched sophisticated machining process for producing complex geometry with close tolerances in hard materials like super alloy which are extremely difficult-to-machine by using conventional machining processes. It is sometimes offered as a better alternative or sometimes as an only alternative for generating accurate 3D complex shapes of macro, micro and nano-features in such difficult-to-machine materials among other advanced machining processes. The accomplishment of such challenging task by use of Electrical Spark Eroding Machining or Electrical Discharge Machining (EDM) is depending upon selection of apt process parameters. This paper is about analyzing the influencing of parameter in electrical eroding machining for Inconel 800 with electrolytic copper as a tool. The experimental runs were performed with various input conditions to process Inconel 800 nickel based super alloy for analyzing the response of material removal rate, surface roughness and tool wear rate. These are the measures of performance of individual experimental value of parameters such as pulse on time, Pulse off time, peak current. Taguchi full factorial Design by using Minitab release 14 software was employed to meet the manufacture requirements of preparing process parameter selection card for Inconel 800 jobs. The individual parameter's contribution towards surface roughness was observed from 13.68% to 64.66%.

  7. San Diego's Capital Planning Process

    Science.gov (United States)

    Lytton, Michael

    2009-01-01

    This article describes San Diego's capital planning process. As part of its capital planning process, the San Diego Unified School District has developed a systematic analysis of functional quality at each of its school sites. The advantage of this approach is that it seeks to develop and apply quantifiable metrics and standards for the more…

  8. Planning as an Iterative Process

    Science.gov (United States)

    Smith, David E.

    2012-01-01

    Activity planning for missions such as the Mars Exploration Rover mission presents many technical challenges, including oversubscription, consideration of time, concurrency, resources, preferences, and uncertainty. These challenges have all been addressed by the research community to varying degrees, but significant technical hurdles still remain. In addition, the integration of these capabilities into a single planning engine remains largely unaddressed. However, I argue that there is a deeper set of issues that needs to be considered namely the integration of planning into an iterative process that begins before the goals, objectives, and preferences are fully defined. This introduces a number of technical challenges for planning, including the ability to more naturally specify and utilize constraints on the planning process, the ability to generate multiple qualitatively different plans, and the ability to provide deep explanation of plans.

  9. A Machine Learning Framework for Plan Payment Risk Adjustment.

    Science.gov (United States)

    Rose, Sherri

    2016-12-01

    To introduce cross-validation and a nonparametric machine learning framework for plan payment risk adjustment and then assess whether they have the potential to improve risk adjustment. 2011-2012 Truven MarketScan database. We compare the performance of multiple statistical approaches within a broad machine learning framework for estimation of risk adjustment formulas. Total annual expenditure was predicted using age, sex, geography, inpatient diagnoses, and hierarchical condition category variables. The methods included regression, penalized regression, decision trees, neural networks, and an ensemble super learner, all in concert with screening algorithms that reduce the set of variables considered. The performance of these methods was compared based on cross-validated R(2) . Our results indicate that a simplified risk adjustment formula selected via this nonparametric framework maintains much of the efficiency of a traditional larger formula. The ensemble approach also outperformed classical regression and all other algorithms studied. The implementation of cross-validated machine learning techniques provides novel insight into risk adjustment estimation, possibly allowing for a simplified formula, thereby reducing incentives for increased coding intensity as well as the ability of insurers to "game" the system with aggressive diagnostic upcoding. © Health Research and Educational Trust.

  10. Pre-segmented 2-Step IMRT with subsequent direct machine parameter optimisation – a planning study

    Directory of Open Access Journals (Sweden)

    Flentje Michael

    2008-11-01

    Full Text Available Abstract Background Modern intensity modulated radiotherapy (IMRT mostly uses iterative optimisation methods. The integration of machine parameters into the optimisation process of step and shoot leaf positions has been shown to be successful. For IMRT segmentation algorithms based on the analysis of the geometrical structure of the planning target volumes (PTV and the organs at risk (OAR, the potential of such procedures has not yet been fully explored. In this work, 2-Step IMRT was combined with subsequent direct machine parameter optimisation (DMPO-Raysearch Laboratories, Sweden to investigate this potential. Methods In a planning study DMPO on a commercial planning system was compared with manual primary 2-Step IMRT segment generation followed by DMPO optimisation. 15 clinical cases and the ESTRO Quasimodo phantom were employed. Both the same number of optimisation steps and the same set of objective values were used. The plans were compared with a clinical DMPO reference plan and a traditional IMRT plan based on fluence optimisation and consequent segmentation. The composite objective value (the weighted sum of quadratic deviations of the objective values and the related points in the dose volume histogram was used as a measure for the plan quality. Additionally, a more extended set of parameters was used for the breast cases to compare the plans. Results The plans with segments pre-defined with 2-Step IMRT were slightly superior to DMPO alone in the majority of cases. The composite objective value tended to be even lower for a smaller number of segments. The total number of monitor units was slightly higher than for the DMPO-plans. Traditional IMRT fluence optimisation with subsequent segmentation could not compete. Conclusion 2-Step IMRT segmentation is suitable as starting point for further DMPO optimisation and, in general, results in less complex plans which are equal or superior to plans generated by DMPO alone.

  11. IEEE International Workshop on Machine Learning for Signal Processing: Preface

    DEFF Research Database (Denmark)

    Tao, Jianhua

    The 21st IEEE International Workshop on Machine Learning for Signal Processing will be held in Beijing, China, on September 18–21, 2011. The workshop series is the major annual technical event of the IEEE Signal Processing Society's Technical Committee on Machine Learning for Signal Processing...

  12. IEEE International Workshop on Machine Learning for Signal Processing: Preface

    DEFF Research Database (Denmark)

    Tao, Jianhua

    The 21st IEEE International Workshop on Machine Learning for Signal Processing will be held in Beijing, China, on September 18–21, 2011. The workshop series is the major annual technical event of the IEEE Signal Processing Society's Technical Committee on Machine Learning for Signal Processing...

  13. Optimization of machining processes using pattern search algorithm

    Directory of Open Access Journals (Sweden)

    Miloš Madić

    2014-04-01

    Full Text Available Optimization of machining processes not only increases machining efficiency and economics, but also the end product quality. In recent years, among the traditional optimization methods, stochastic direct search optimization methods such as meta-heuristic algorithms are being increasingly applied for solving machining optimization problems. Their ability to deal with complex, multi-dimensional and ill-behaved optimization problems made them the preferred optimization tool by most researchers and practitioners. This paper introduces the use of pattern search (PS algorithm, as a deterministic direct search optimization method, for solving machining optimization problems. To analyze the applicability and performance of the PS algorithm, six case studies of machining optimization problems, both single and multi-objective, were considered. The PS algorithm was employed to determine optimal combinations of machining parameters for different machining processes such as abrasive waterjet machining, turning, turn-milling, drilling, electrical discharge machining and wire electrical discharge machining. In each case study the optimization solutions obtained by the PS algorithm were compared with the optimization solutions that had been determined by past researchers using meta-heuristic algorithms. Analysis of obtained optimization results indicates that the PS algorithm is very applicable for solving machining optimization problems showing good competitive potential against stochastic direct search methods such as meta-heuristic algorithms. Specific features and merits of the PS algorithm were also discussed.

  14. Trends in Machine Learning for Signal Processing

    DEFF Research Database (Denmark)

    Adali, Tulay; Miller, David J.; Diamantaras, Konstantinos I.

    2011-01-01

    By putting the accent on learning from the data and the environment, the Machine Learning for SP (MLSP) Technical Committee (TC) provides the essential bridge between the machine learning and SP communities. While the emphasis in MLSP is on learning and data-driven approaches, SP defines the main...... applications of interest, and thus the constraints and requirements on solutions, which include computational efficiency, online adaptation, and learning with limited supervision/reference data....

  15. Proceedings of the IEEE Machine Learning for Signal Processing XVII

    DEFF Research Database (Denmark)

    The seventeenth of a series of workshops sponsored by the IEEE Signal Processing Society and organized by the Machine Learning for Signal Processing Technical Committee (MLSP-TC). The field of machine learning has matured considerably in both methodology and real-world application domains and has...

  16. Non-machined Surface Protection Process of Electrochemical Machining Based on Repaired Turbine Blade

    Directory of Open Access Journals (Sweden)

    LIU Wei-dong

    2016-11-01

    Full Text Available In order to improve the efficiency of turbine blade repairing, protection processes of non-machined surface in Electrochemical Machining (ECM based on blade repairing were studied. Mathematical model of electric field was developed to obtain current density distribution on anode surface, and to study the repairing principle and consequently analyze the defects forming mechanism by conventional electrolytic repair process. Sacrificial layer process was proposed to protect the non-machined surface in this work and an experimental system was developed to shape overlay welded TC4 blades. The results show that directly shaping process and insulated layer process produce stray dissolution and "stair" defects respectively,while sacrificial layer process achieves acceptable machining performance. With shaping time of 60s, the efficiency is improved; shaped blades have higher precision and surface roughness is Ra≤0.6μm, and with higher repeatability, the design requirements can be met.

  17. Evaluating the presence of alternative resources in process planning to improve the performance of manufacturing systems

    Directory of Open Access Journals (Sweden)

    Mário Henrique de Mello

    2014-05-01

    Full Text Available Usually the process plans are generated without considering the use of alternative machines, i.e., in conventional process planning a single machine is selected for the execution of a particular operation. Consequently, the machines that are preferred by process planners are selected to perform most tasks, leading to the formation of bottlenecks in production. In this context, the inclusion of alternative machines in process plans can be used as a strategy to solve the bottleneck formation problem, since the possible unavailability of a machine allows another preplanned machine to be selected and used immediately. In order to evaluate this proposal, a model was developed to simulate a manufacturing system subject to both types of process plans, i.e., with or without alternative machines. It was found that the inclusion of alternative machines for plans process results in improved performance of the manufacturing system with regard to productivity, work-in-process, and machine utilization, even if the selected alternate machine has lower efficiency.

  18. Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Hoda Hosny Abuzied

    2012-01-01

    Full Text Available Electrochemical machining (ECM is a non-traditional machining process used mainly to cut hard or difficult to cut metals, where the application of a more traditional process is not convenient. It offers several special advantages including higher machining rate, better precision and control, and a wider range of materials that can be machined. A suitable selection of machining parameters for the ECM process relies heavily on the operator’s technologies and experience because of their numerous and diverse range. Machining parameters provided by the machine tool builder cannot meet the operator’s requirements. So, artificial neural networks were introduced as an efficient approach to predict the values of resulting surface roughness and material removal rate. Many researchers usedartificial neural networks (ANN in improvement of ECM process and also in other nontraditional machining processes as well be seen in later sections. The present study is, initiated to predict values of some of resulting process parameters such as metal removal rate(MRR, and surface roughness (Ra using artificial neural networks based on variation of certain predominant parameters of an electrochemical broaching process such as applied voltage, feed rate and electrolyte flow rate. ANN was found to be an efficient approach as it reduced time & effort required to predict material removal rate & surface roughness if they were found experimentally using trial & error method. To validate the proposed approach the predicted values of surface roughness and material removal rate were compared with a previously obtained ones from the experimental work.

  19. PROCESS UNIFICATION AND FRAME PREPARATION OF MACHINING PARAMETRES FOR ROTATIONAL PARTS

    Directory of Open Access Journals (Sweden)

    Ersan ASLAN

    2005-01-01

    Full Text Available Any traditional or computerized metal removal process needs a prototype, a technical drawing and a database for production of a part. Design, process planning and manufacturing problems such as modeling, the necessity data extraction from standard data exchange formats, and part programme preparation for machine tools can be solved by the operators or experts as soon as possible while they occurred in the traditonal approach. In circumstances of the production efforts spent by the computer, all experiences of expert can be saved in a database for foresight of the possible problems. This data can be used at any stage in the product cycle. In this paper, it is presented the results of research efforts which aimed to extract information from the defacto industry standard DXF files to determine features existing on rotational parts to be machined on horizontal machining centers. After process extraction and definition, process unifications and frame preparation for machining parameters of the part are introduced.

  20. Optimization of machining processes using pattern search algorithm

    OpenAIRE

    Miloš Madić; Miroslav Radovanović

    2014-01-01

    Optimization of machining processes not only increases machining efficiency and economics, but also the end product quality. In recent years, among the traditional optimization methods, stochastic direct search optimization methods such as meta-heuristic algorithms are being increasingly applied for solving machining optimization problems. Their ability to deal with complex, multi-dimensional and ill-behaved optimization problems made them the preferred optimization tool by most researchers a...

  1. Hierarchical planning for a surface mounting machine placement

    Institute of Scientific and Technical Information of China (English)

    曾又姣; 马登哲; 金烨; 严隽琪

    2004-01-01

    For a surface mounting machine(SMM)in printed circuit board(PCB)assembly line,there are four problems,e.g. CAD data conversion,nozzle selection,feeder assignment and placement sequence determination. A hierarchical planning for them to maximize the throughput rate of an SMM is presented here. To minimize set-up time,a CAD data conversion system was first applied that could automatically generate the data for machine placement from CAD design data files. Then an effective nozzle selection approach was implemented to minimize the time of nozzle changing. And then,to minimize picking time,an algorithm for feeder assignment was used to make picking multiple components simultaneously as much as possible. Finally,in order to shorten pick-and-place time,a heuristic algorithm was used to determine optimal component placement sequence according to the decided feeder positions. Experiments were conducted on a four head SMM.The experimental results were used to analyse the assembly line performance.

  2. Mathematical modelling in the computer-aided process planning

    Science.gov (United States)

    Mitin, S.; Bochkarev, P.

    2016-04-01

    This paper presents new approaches to organization of manufacturing preparation and mathematical models related to development of the computer-aided multi product process planning (CAMPP) system. CAMPP system has some peculiarities compared to the existing computer-aided process planning (CAPP) systems: fully formalized developing of the machining operations; a capacity to create and to formalize the interrelationships among design, process planning and process implementation; procedures for consideration of the real manufacturing conditions. The paper describes the structure of the CAMPP system and shows the mathematical models and methods to formalize the design procedures.

  3. A discrete event simulation design for block-based maintenance planning under random machine usage

    NARCIS (Netherlands)

    de Jonge, Bram

    2015-01-01

    Existing research on block-based preventive maintenance planning generally assumes that machines are either used continuously, or that times until failure do not depend on the actual usage of machines. In practice, however, it is often more realistic to assume that machines are not used continuously

  4. 20 CFR 632.17 - Planning process.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Planning process. 632.17 Section 632.17... process. (a) Each Native American grantee shall establish a planning process for the development of its Master Plan and Comprehensive Annual Plan. This planning process shall involve consideration of the need...

  5. Process Planning and Scheduling Integration in an Open Manufacturing Environment

    Institute of Scientific and Technical Information of China (English)

    LOU Ping; LIU Quan; ZHOU Zu-de; QUAN Shu-hai; FANG Ban-hang

    2009-01-01

    New open manufacturing environments have been proposed aiming at realizing more flexible distributed manufacturing paradigms, which can deal with not only dynamic changes in volume and variety of products, but also changes of machining equipments, dispersals of processing locations, and also with unscheduled disruptions. This research is to develop an integrated process planning and scheduling system, which is suited to this open, dynamic,distributed manufacturing environment. Multi-agent system (MAS) approaches are used for integration of manufacturing processing planning and scheduling in an open distributed manufacturing environment, in which process planning can be adjusted dynamically and manufacturing resources can increase/decrease according to the requirements. One kind of multi-level dynamic negotiated approaches to process planning and scheduling is presented for the integration of manufacturing process planning and scheduling.

  6. State machine analysis of sensor data from dynamic processes

    Energy Technology Data Exchange (ETDEWEB)

    Cook, William R.; Brabson, John M.; Deland, Sharon M.

    2003-12-23

    A state machine model analyzes sensor data from dynamic processes at a facility to identify the actual processes that were performed at the facility during a period of interest for the purpose of remote facility inspection. An inspector can further input the expected operations into the state machine model and compare the expected, or declared, processes to the actual processes to identify undeclared processes at the facility. The state machine analysis enables the generation of knowledge about the state of the facility at all levels, from location of physical objects to complex operational concepts. Therefore, the state machine method and apparatus may benefit any agency or business with sensored facilities that stores or manipulates expensive, dangerous, or controlled materials or information.

  7. Integration of Machining and Measuring Processes Using On-Machine Measurement Technology

    Institute of Scientific and Technical Information of China (English)

    Myeong; Woo; Cho; Tae; Il; Seo; Dong; Sam; Park

    2002-01-01

    This paper presents an integration methodology for ma chining and measuring processes using OMM (On-Machine Measurement) technology b ased on CAD/CAM/CAI integration concept. OMM uses a CNC machining center as a me asuring station by changing the tools into measuring probes such as touch-type, laser and vision. Although the measurement accuracy is not good compared to tha t of the CMM (Coordinate Measuring Machine), there are distinctive advantages us ing OMM in real situation. In this paper, two topics a...

  8. High Metal Removal Rate Process for Machining Difficult Materials

    Energy Technology Data Exchange (ETDEWEB)

    Bates, Robert; McConnell, Elizabeth

    2016-06-29

    Machining methods across many industries generally require multiple operations to machine and process advanced materials, features with micron precision, and complex shapes. The resulting multiple machining platforms can significantly affect manufacturing cycle time and the precision of the final parts, with a resultant increase in cost and energy consumption. Ultrafast lasers represent a transformative and disruptive technology that removes material with micron precision and in a single step manufacturing process. Such precision results from athermal ablation without modification or damage to the remaining material which is the key differentiator between ultrafast laser technologies and traditional laser technologies or mechanical processes. Athermal ablation without modification or damage to the material eliminates post-processing or multiple manufacturing steps. Combined with the appropriate technology to control the motion of the work piece, ultrafast lasers are excellent candidates to provide breakthrough machining capability for difficult-to-machine materials. At the project onset in early 2012, the project team recognized that substantial effort was necessary to improve the application of ultrafast laser and precise motion control technologies (for micromachining difficult-to-machine materials) to further the aggregate throughput and yield improvements over conventional machining methods. The project described in this report advanced these leading-edge technologies thru the development and verification of two platforms: a hybrid enhanced laser chassis and a multi-application testbed.

  9. Study the effect of cryogenic cooling on orthogonal machining Process

    Directory of Open Access Journals (Sweden)

    Arvind Kaushal

    2016-06-01

    Full Text Available In present scenario , all the manufacturing organization aims to maximize the productivity of organization in respect of all the aspect of manufacturing process, in case of machining process, it associated with various factors which affect the productivity directly in sense of tool life . Temperature, cutting forces, shear angle, work-piece surface finishing & accuracy, amount of power consumed in machining process and other thing also. All the factors might be optimized by applying effective and efficient amount of coolant throughout the process, to get desired efficiency of process. A coolant play a vital role in machining operation but which must have specific properties which have been reviewed in previous article of various student , research scholars , scientist and industrial candidates .in this research paper , we were focusing on the effect of cryogenic cooling on cutting temperature , cutting forces , chip behavior , shear angle , when alloy steel EN-8 and aluminum alloy 6061-T89 was machined by carbide cutting tool (coated & uncoated & applying liquid nitrogen as a coolant and observed that temperature was decreased during the machining process about 16% to 27% and cutting forces improved to 13%when the machining was performed , the same without cooling of EN-8 alloy, similarly on the other hand in case of aluminum alloy 6061-T89 , temperature was decreased to 25% to 37% and cutting force improved to 9% .

  10. 2015 International Conference on Machine Learning and Signal Processing

    CERN Document Server

    Woo, Wai; Sulaiman, Hamzah; Othman, Mohd; Saat, Mohd

    2016-01-01

    This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range of topics relating to machine learning and signal processing techniques and their applications are addressed in order to provide both researchers and practitioners with a valuable resource documenting the latest advances and trends. The book comprises a careful selection of the papers submitted to the 2015 International Conference on Machine Learning and Signal Processing (MALSIP 2015), which was held on 15–17 December 2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers, academicians, and practitioners an ideal opportunity to disseminate their findings and achievements. All of the included contributions were chosen by expert peer reviewers from across the world on the basis of their interest to the community. In addition to presenting the latest in design, development, and research, the book provides access to numerous new algorithms for machine learni...

  11. Process capability improvement through DMAIC for aluminum alloy wheel machining

    Science.gov (United States)

    Sharma, G. V. S. S.; Rao, P. Srinivasa; Babu, B. Surendra

    2017-07-01

    This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and prioritization of corrective actions is done through process failure modes and effects analysis. Process monitoring charts are employed for improving the process capability index of the process, at the industrial benchmark of four sigma level, which is equal to the value of 1.33. The procedure adopted for improving the process capability levels is the define-measure-analyze-improve-control (DMAIC) approach. By following the DMAIC approach, the C p, C pk and C pm showed signs of improvement from an initial value of 0.66, -0.24 and 0.27, to a final value of 4.19, 3.24 and 1.41, respectively.

  12. Kinematic simulation of a parallel NC machine tool in the manufacturing process

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jian-min; FAN Yu; JIA Dong-yun; ZOU Qiu-ling; WU Ying

    2006-01-01

    Aimed at enhancing the research status of parallel machine tools,this paper introduces the structure of a 6-SPS parallel machine tool and explains the application significance of the kinematic simulation of the manufacturing process.The simulation software was developed in Microsoft Visual C++6.0 using OpenGL API functions.The data flows are presented.Finally, a simulation application of odd leaf hyperboloid is performed before the manufacturing process; the kinematic simulation demonstrates the rationale of trace planning and the feasibility of manufacturing instruction.

  13. Proceedings of the IEEE Machine Learning for Signal Processing XVII

    DEFF Research Database (Denmark)

    , and two papers from the winners of the Data Analysis Competition. The program included papers in the following areas: genomic signal processing, pattern recognition and classification, image and video processing, blind signal processing, models, learning algorithms, and applications of machine learning......The seventeenth of a series of workshops sponsored by the IEEE Signal Processing Society and organized by the Machine Learning for Signal Processing Technical Committee (MLSP-TC). The field of machine learning has matured considerably in both methodology and real-world application domains and has....... The program featured a Special Session on Genomic Signal Processing, chaired by Prof. Man-Wai Mak from Hong Kong Polytechnic University, Hong Kong. The session included four refereed papers by leading experts in the field. We also continued the tradition of the Data Analysis Competition thanks to the efforts...

  14. Proceedings of IEEE Machine Learning for Signal Processing Workshop XV

    DEFF Research Database (Denmark)

    Larsen, Jan

    These proceedings contains refereed papers presented at the Fifteenth IEEE Workshop on Machine Learning for Signal Processing (MLSP’2005), held in Mystic, Connecticut, USA, September 28-30, 2005. This is a continuation of the IEEE Workshops on Neural Networks for Signal Processing (NNSP) organized...... by the NNSP Technical Committee of the IEEE Signal Processing Society. The name of the Technical Committee, hence of the Workshop, was changed to Machine Learning for Signal Processing in September 2003 to better reflect the areas represented by the Technical Committee. The conference is organized...... by the Machine Learning for Signal Processing Technical Committee with sponsorship of the IEEE Signal Processing Society. Following the practice started two years ago, the bound volume of the proceedings is going to be published by IEEE following the Workshop, and we are pleased to offer to conference attendees...

  15. Proceedings of IEEE Machine Learning for Signal Processing Workshop XV

    DEFF Research Database (Denmark)

    Larsen, Jan

    These proceedings contains refereed papers presented at the Fifteenth IEEE Workshop on Machine Learning for Signal Processing (MLSP’2005), held in Mystic, Connecticut, USA, September 28-30, 2005. This is a continuation of the IEEE Workshops on Neural Networks for Signal Processing (NNSP) organized...... by the NNSP Technical Committee of the IEEE Signal Processing Society. The name of the Technical Committee, hence of the Workshop, was changed to Machine Learning for Signal Processing in September 2003 to better reflect the areas represented by the Technical Committee. The conference is organized...... by the Machine Learning for Signal Processing Technical Committee with sponsorship of the IEEE Signal Processing Society. Following the practice started two years ago, the bound volume of the proceedings is going to be published by IEEE following the Workshop, and we are pleased to offer to conference attendees...

  16. CD process control through machine learning

    Science.gov (United States)

    Utzny, Clemens

    2016-10-01

    For the specific requirements of the 14nm and 20nm site applications a new CD map approach was developed at the AMTC. This approach relies on a well established machine learning technique called recursive partitioning. Recursive partitioning is a powerful technique which creates a decision tree by successively testing whether the quantity of interest can be explained by one of the supplied covariates. The test performed is generally a statistical test with a pre-supplied significance level. Once the test indicates significant association between the variable of interest and a covariate a split performed at a threshold value which minimizes the variation within the newly attained groups. This partitioning is recurred until either no significant association can be detected or the resulting sub group size falls below a pre-supplied level.

  17. Modeling and Simulation of Process-Machine Interaction in Grinding of Cemented Carbide Indexable Inserts

    National Research Council Canada - National Science Library

    Feng, Wei; Yao, Bin; Chen, BinQiang; Zhang, DongSheng; Zhang, XiangLei; Shen, ZhiHuang

    2015-01-01

      Interaction of process and machine in grinding of hard and brittle materials such as cemented carbide may cause dynamic instability of the machining process resulting in machining errors and a decrease in productivity...

  18. Process-based Strategic Planning

    CERN Document Server

    Grunig, Rudolf; Clark, Anthony

    2011-01-01

    A company's strategies define its future direction, specifying not only target market positions for many years to come, but also the key competitive advantages both at the level of market offers and of resources. Developing future strategies is an important and complex task, which is the core issue in this book. After a short introduction to strategic planning, a heuristic process for determining future strategies is presented. This process is divided into eight steps, and for each of these steps, detailed recommendations for problem-solving are provided and illustrated through many concrete e

  19. SIMULATION BASED PLANNING FOR DESIGN OF WASHING MACHINE USING H/W & S/W CO DESIGN

    Directory of Open Access Journals (Sweden)

    Rajesh Kumar Garg

    2010-11-01

    Full Text Available A simulator is designed and developed or helping embedded system development team to plan their time schedule, work flow etc. and distribute human resources and their efforts over various phasesof washing machine development. The simulator helps in identifying development phases of washing machine for successful operations of overall system. The development process of washing machine has beendone in a cost effective way by planning and managing and simulating the system. The simulator gives the results in form of critical and near-critical phases while considering the rest of phases as concurrent development activities. The simulator has been a handytool for engineers in developing the system in an optimal manner. Hardware/Software Codesign approach in which both hardware and software designers’ work together to develop a system is used inthis work.

  20. Selection of parameters for advanced machining processes using firefly algorithm

    Directory of Open Access Journals (Sweden)

    Rajkamal Shukla

    2017-02-01

    Full Text Available Advanced machining processes (AMPs are widely utilized in industries for machining complex geometries and intricate profiles. In this paper, two significant processes such as electric discharge machining (EDM and abrasive water jet machining (AWJM are considered to get the optimum values of responses for the given range of process parameters. The firefly algorithm (FA is attempted to the considered processes to obtain optimized parameters and the results obtained are compared with the results given by previous researchers. The variation of process parameters with respect to the responses are plotted to confirm the optimum results obtained using FA. In EDM process, the performance parameter “MRR” is increased from 159.70 gm/min to 181.6723 gm/min, while “Ra” and “REWR” are decreased from 6.21 μm to 3.6767 μm and 6.21% to 6.324 × 10−5% respectively. In AWJM process, the value of the “kerf” and “Ra” are decreased from 0.858 mm to 0.3704 mm and 5.41 mm to 4.443 mm respectively. In both the processes, the obtained results show a significant improvement in the responses.

  1. Rinsing Processes in Open-width Washing Machines

    NARCIS (Netherlands)

    Kroezen, A.B.J.; Linden, van der H.J.L.J.; Groot Wassink, J.

    1986-01-01

    A simulator is described for rinsing processes carried out on open-width washing machines. In combination with a theoretical model, a simple method is given for testing rinsing processes. The method has been used to investigate the extraction of caustic soda from a cotton fabric, varying the tempera

  2. Investigation on preheating process in SLS machine

    Institute of Scientific and Technical Information of China (English)

    李湘生; 史玉升; 莫健华; 黄树槐

    2001-01-01

    Selective laser sintering (SLS) is an important Rapid Prototyping method because its wide range of materials. The powder is fused and processed into a part because it is heated in the process. Preheating of powder on the surface of powder bed is a one important process which is a guarantee by which parts can be successfully fabricated and influences accuracy of parts fabricated in SLS technology. The uniformity of temperature on powder bed influences accuracy and performance of parts. It is necessary to understand the influences of the parameters of preheating set on uniformity of temperature on surface of powder bed. This paper analyzes general preheating process of irradiator for the preheating of powder on the surface of powder bed during SLS processing,and investigates influences of the flux density on the temperature field on the top surface of powder bed. The models of distribution of flux density and the distribution of surface temperature of powder bed are presented.The result predicted according to the models is reasonably consistent with experimental result. This model plays important role in design of preheating set and control of SLS processing. It is concluded that the uniformity of temperature field on the powder bed is determined mostly by the geometry of heating component and its fix location and the flux density is inverse proportional to the highness.

  3. Performance of Cooled Cone Grinding Machine in Cocoa Cake Processing

    Directory of Open Access Journals (Sweden)

    Hendy Firmanto

    2015-08-01

    Full Text Available The process of cocoa paste pressing has a function to separate the fatty component of cocoa from its cake. Cocoa paste is further processed into cocoa powder using grinding machine for cocoa cake. The cooled cone type of cocoa grinding machine is used to solve the problem of plug in the maschine caused by melting of fat in cocoa cake due to hot effect as a result of friction in the grinding machine. Grinding machine of cocoa has conical form of cylinder for grinding and stator wall wrapped by source of cold and closed with jacket wool. Research was conducted at Kaliwining Experimental Garden of Indonesian Coffee and Cocoa Research Institute (ICCRI using cocoa cake containing 26.75% originated from Forastero type of cocoa seed. The capacity and recovery of the machine was influenced by space between rotor cylinder and stator wall. Grinding machine operated at cooling temperature of 25.5oC and space between rotor – stator 0.9 cm and the capacity of 187.5 kg/hour with recovery of 200 mesh cocoa powder as much as 24%. The maximum  power of machine required  was 2.5 kW with efficiency of  energy transfer of 97%. Results of proximate analysis showed that there was no change of protein content, but protein and carbohydrate content increased after processing, i.e. from 5.70% and 59.82% into 5.80% and 61.89% respectively.Key words : cocoa cake, cooling, grinding, cocoa powder 

  4. Parameter optimization model in electrical discharge machining process

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Electrical discharge machining (EDM) process, at present is still an experience process, wherein selected parameters are often far from the optimum, and at the same time selecting optimization parameters is costly and time consuming. In this paper,artificial neural network (ANN) and genetic algorithm (GA) are used together to establish the parameter optimization model. An ANN model which adapts Levenberg-Marquardt algorithm has been set up to represent the relationship between material removal rate (MRR) and input parameters, and GA is used to optimize parameters, so that optimization results are obtained. The model is shown to be effective, and MRR is improved using optimized machining parameters.

  5. Controlled English to facilitate human/machine analytical processing

    Science.gov (United States)

    Braines, Dave; Mott, David; Laws, Simon; de Mel, Geeth; Pham, Tien

    2013-06-01

    Controlled English is a human-readable information representation format that is implemented using a restricted subset of the English language, but which is unambiguous and directly accessible by simple machine processes. We have been researching the capabilities of CE in a number of contexts, and exploring the degree to which a flexible and more human-friendly information representation format could aid the intelligence analyst in a multi-agent collaborative operational environment; especially in cases where the agents are a mixture of other human users and machine processes aimed at assisting the human users. CE itself is built upon a formal logic basis, but allows users to easily specify models for a domain of interest in a human-friendly language. In our research we have been developing an experimental component known as the "CE Store" in which CE information can be quickly and flexibly processed and shared between human and machine agents. The CE Store environment contains a number of specialized machine agents for common processing tasks and also supports execution of logical inference rules that can be defined in the same CE language. This paper outlines the basic architecture of this approach, discusses some of the example machine agents that have been developed, and provides some typical examples of the CE language and the way in which it has been used to support complex analytical tasks on synthetic data sources. We highlight the fusion of human and machine processing supported through the use of the CE language and CE Store environment, and show this environment with examples of highly dynamic extensions to the model(s) and integration between different user-defined models in a collaborative setting.

  6. Unrelated Machine Scheduling with Stochastic Processing Times

    NARCIS (Netherlands)

    Skutella, Martin; Sviridenko, Maxim; Uetz, Marc

    2016-01-01

    Two important characteristics encountered in many real-world scheduling problems are heterogeneous processors and a certain degree of uncertainty about the processing times of jobs. In this paper we address both, and study for the first time a scheduling problem that combines the classical unrelated

  7. Unrelated Machine Scheduling with Stochastic Processing Times

    NARCIS (Netherlands)

    Skutella, Martin; Sviridenko, Maxim; Uetz, Marc Jochen

    Two important characteristics encountered in many real-world scheduling problems are heterogeneous processors and a certain degree of uncertainty about the processing times of jobs. In this paper we address both, and study for the first time a scheduling problem that combines the classical unrelated

  8. Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems

    Science.gov (United States)

    Yang, Yahong; Zhao, Fuqing; Hong, Yi; Yu, Dongmei

    2005-12-01

    Integration of process planning with scheduling by considering the manufacturing system's capacity, cost and capacity in its workshop is a critical issue. The concurrency between them can also eliminate the redundant process and optimize the entire production cycle, but most integrated process planning and scheduling methods only consider the time aspects of the alternative machines when constructing schedules. In this paper, a fuzzy inference system (FIS) in choosing alternative machines for integrated process planning and scheduling of a job shop manufacturing system is presented. Instead of choosing alternative machines randomly, machines are being selected based on the machines reliability. The mean time to failure (MTF) values is input in a fuzzy inference mechanism, which outputs the machine reliability. The machine is then being penalized based on the fuzzy output. The most reliable machine will have the higher priority to be chosen. In order to overcome the problem of un-utilization machines, sometimes faced by unreliable machine, the particle swarm optimization (PSO) have been used to balance the load for all the machines. Simulation study shows that the system can be used as an alternative way of choosing machines in integrated process planning and scheduling.

  9. SNF Project Engineering Process Improvement Plan

    Energy Technology Data Exchange (ETDEWEB)

    DESAI, S.P.

    2000-02-09

    This plan documents the SNF Project activities and plans to support its engineering process. It describes five SNF Project Engineering initiatives: new engineering procedures, qualification cards process; configuration management, engineering self assessments, and integrated schedule for engineering activities.

  10. Innovative machine designs for radiation processing

    Science.gov (United States)

    Vroom, David

    2007-12-01

    In the 1990s Raychem Corporation established a program to investigate the commercialization of several promising applications involving the combined use of its core competencies in materials science, radiation chemistry and e-beam radiation technology. The applications investigated included those that would extend Raychem's well known heat recoverable polymer and wire and cable product lines as well as new potential applications such as remediation of contaminated aqueous streams. A central part of the program was the development of new accelerator technology designed to improve quality, lower processing costs and efficiently process conformable materials such at liquids. A major emphasis with this new irradiation technology was to look at the accelerator and product handling systems as one integrated, not as two complimentary systems.

  11. In-process machine tool vibration cancellation using PMN actuators

    Science.gov (United States)

    Eshete, Zelalem; Zhang, Guangming

    1996-12-01

    At present, the machine tool technology in the US is not in the state-of-the-art of leading international competitors. Conventional machine tools under use are being pushed into their machining accuracy limits. There is a pressing need calling for revitalizing the machine tool industry. This paper presents, a mechatronic system developed for reducing tool vibration during machining. It consists of electrical and mechanical components, and is realized by placing electrically driven electrostrictive actuators in a specially designed tool post mechanical structure. The linear neural network controller, namely, digital filters, are implemented using a signal processing board. The experimental investigation is conducted in two stages. In the first stage, a test bed is established to use an electro-magnetic shaker to resemble the excitation of cutting force acting on the tool. In the second stage, experiments were conducted using a lathe on the shop floor. In-process vibration cancellation was observed. In the laboratory experiment, a percent reduction in the 90 percent was possible using a feedforward scheme. The improvement in surface roughness during the turning operation was confirmed from measurements of surface roughness profiles.

  12. Ghosts in the machine: publication planning in the medical sciences.

    Science.gov (United States)

    Sismondo, Sergio

    2009-04-01

    Publication of pharmaceutical company-sponsored research in medical journals, and its presentation at conferences and meetings, is mostly governed by 'publication plans' that extract the maximum amount of scientific and commercial value out of data and analyses through carefully constructed and placed papers. Clinical research is typically performed by contract research organizations, analyzed by company statisticians, written up by independent medical writers, approved and edited by academic researchers who then serve as authors, and the whole process organized and shepherded through to journal publication by publication planners. This paper reports on a conference of an international association of publication planners. It describes and analyzes their work in an ecological framework that relates it to marketing departments of pharmaceutical companies, medical journals and publishers, academic authors, and potential audiences. The medical research described here forms a new kind of corporate science, designed to look like traditional academic work, but performed largely to market products.

  13. Foreign Developments in Information Processing and Machine Translation

    Science.gov (United States)

    2007-11-02

    on developments in the following fields of language data processing: Machine translation studies; questions on structural linguistics, phonological ...34katakana" or in phonetic syllables without the use of any "kanji" or Chinese characters, the "kun"- pronunciation of Chinese characters was adopted as

  14. Machine Vision Systems for Processing Hardwood Lumber and Logs

    Science.gov (United States)

    Philip A. Araman; Daniel L. Schmoldt; Tai-Hoon Cho; Dongping Zhu; Richard W. Conners; D. Earl Kline

    1992-01-01

    Machine vision and automated processing systems are under development at Virginia Tech University with support and cooperation from the USDA Forest Service. Our goals are to help U.S. hardwood producers automate, reduce costs, increase product volume and value recovery, and market higher value, more accurately graded and described products. Any vision system is...

  15. Heuristics for batching and sequencing in batch processing machines

    Directory of Open Access Journals (Sweden)

    Chuda Basnet

    2016-12-01

    Full Text Available In this paper, we discuss the “batch processing” problem, where there are multiple jobs to be processed in flow shops. These jobs can however be formed into batches and the number of jobs in a batch is limited by the capacity of the processing machines to accommodate the jobs. The processing time required by a batch in a machine is determined by the greatest processing time of the jobs included in the batch. Thus, the batch processing problem is a mix of batching and sequencing – the jobs need to be grouped into distinct batches, the batches then need to be sequenced through the flow shop. We apply certain newly developed heuristics to the problem and present computational results. The contributions of this paper are deriving a lower bound, and the heuristics developed and tested in this paper.

  16. A New Approach For FEM Simulation of NC Machining Processes

    Science.gov (United States)

    Wang, Sheng Ping; Padmanaban, Shivakumar

    2004-06-01

    The paper describes a new method for a finite element based pseudo-simulation of Numerically Controlled (NC) machining (material removal) processes. Industrial machining of a component usually results in warping or distortion due to the re-establishment of equilibrium in the retained part along with the relief of the insitu residual stresses in the removed part. In many cases, these distortions can be so large that the part may no longer be able to serve its designated functionality. Considering that the machining process is fundamentally a material removal process, a new method based on an automated removal of finite elements in the cutting area has been developed in the finite element analysis (FEA) software MSC.Marc to conduct pseudo-simulation of the NC machining process., A number of key software enhancements have been made to facilitate the pseudo-simulation of the NC machining process. First, a seamless interface has been developed to import APT/CL data generated by CAD/CAM systems. Then, the cutting paths have been generated based on information in the APT/CL files and used for the automatic detection of the intersection between the cutter and the finite element mesh. With each incremental motion of the cutter, the FEA solver detects all the elements that are located within the cutting path. Such elements are then deactivated in a step-by-step manner that is consistent with the actual machining process. In order to improve the fidelity of the cut area, local adaptive mesh refinement in the vicinity of the cutting tool is undertaken. This enables relatively coarser meshes away from the cut area and provides more accurate representation of the actual volume that is removed. As demonstrated by an industrial example, the enhanced software features in MSC.Marc have made it possible to practically and efficiently analyze complex machining processes of 3D production parts and provide an elegant tool for predicting distortions in large structures due to the relief

  17. Multi products single machine EPQ model with immediate rework process

    Directory of Open Access Journals (Sweden)

    Jahangir Biabani

    2012-01-01

    Full Text Available This paper develops an economic production quantity (EPQ inventory model with rework process for a single stage production system with one machine. The existence of a unique machine results in limited production capacity. The aim of this research is to determine both the optimal cycle length and the optimal production quantity for each product to minimize the expected total cost (holding, production, setup, rework costs. The convexity of the inventory model is derived. Also the objective function is proved to be convex. The proposed inventory model is validated with illustrating numerical examples and the optimal period length and the total system cost are analyzed.

  18. OPTIMIZATION OF MACHINING PARAMETERS IN TURNING PROCESS USING GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION WITH EXPERIMENTAL VERIFICATION

    Directory of Open Access Journals (Sweden)

    K.RAMESH KUMAR

    2011-02-01

    Full Text Available Optimization of cutting parameters is one of the most important elements in any process planning of metal parts. Economy of machining operation plays a key role in competitiveness in the market. All CNCmachines produce finished components from cylindrical bar. Finished profiles consist of straight turning, facing, taper and circular machining. Finished profile from a cylindrical bar is done in two stages, rough machining and finish machining. Numbers of passes are required for rough machining and single pass is required for the finished pass. The machining parameters in multipass turning are depth of cut, cutting speed and feed. The machining performance is measured by the minimum production time. In this paper the optimal machining parameters for continuous profile machining are determinedwith respect to the minimum production time, subject to a set of practical constraints, cutting force, power and dimensional accuracy and surface finish. Due to complexity of this machining optimizationproblem, a genetic algorithm (GA and Particle Swarm Optimization (PSO are applied to resolve the problem and the results obtained from GA and PSO are compared.

  19. Laser-assisted machining process simulation for precision mould/die manufacturing

    Directory of Open Access Journals (Sweden)

    Zeng Quanren

    2015-01-01

    Full Text Available Laser-assisted machining (LAM is a kind of thermally assisted manufacturing process which preheats workpiece material with a highly-localized laser beam and then is followed by a conventional machining operation. It could greatly improve the machinability and gives better machining quality, especially suitable for hard-to-cut materials such as superalloys, tool steels. For manufacturing the high-precision moulds/dies that could fabricate micro and precision components, the thermal assistance at the local cutting zone, will help to lower the cutting force and consequently improve the internal surface quality of the machined moulds/dies. In this paper, a numerical study of the laser-assisted cutting of plastic mould steel NAK80 is reported. The simulation of LAM of NAK80 is realized by combining two procedures: simulation of moving laser heat source applied on the local surface of workpiece which causes the corresponding temperature field arise and material soften, and simulation of the subsequent cutting processes. This research will offer the die/mould manufacturers a more efficient planning tool for the fabrication of the micro, precision dies/moulds of high surface quality, and hence, for forming the high-quality micro components as well as for longer die/mould life.

  20. 45 CFR 98.14 - Plan process.

    Science.gov (United States)

    2010-10-01

    ... 45 Public Welfare 1 2010-10-01 2010-10-01 false Plan process. 98.14 Section 98.14 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL ADMINISTRATION CHILD CARE AND DEVELOPMENT FUND General Application Procedures § 98.14 Plan process. In the development of each Plan, as required pursuant to §...

  1. Prognostics and Health Management of an Automated Machining Process

    Directory of Open Access Journals (Sweden)

    Cheng He

    2015-01-01

    Full Text Available Machine failure modes are presenting a major burden to the operator, the plant, and the enterprise causing significant downtime, labor cost, and reduced revenue. New technologies are emerging over the past years to monitor the machine’s performance, detect and isolate incipient failures or faults, and take appropriate actions to mitigate such detrimental events. This paper addresses the development and application of novel Prognostics and Health Management (PHM technologies to a prototype machining process (a screw-tightening machine. The enabling technologies are built upon a series of tasks starting with failure analysis, testing, and data processing aimed to extract useful features or condition indicators from raw data, a symbolic regression modeling framework, and a Bayesian estimation method called particle filtering to predict the feature state estimate accurately. The detection scheme declares the fault of a machine critical component with user specified accuracy or confidence and given false alarm rate while the prediction algorithm estimates accurately the remaining useful life of the failing component. Simulation results support the efficacy of the approach and match well the experimental data.

  2. Online Scheduling on a Single Machine with Grouped Processing Times

    Directory of Open Access Journals (Sweden)

    Qijia Liu

    2015-01-01

    Full Text Available We consider the online scheduling problem on a single machine with the assumption that all jobs have their processing times in [p,(1+αp], where p>0 and α=(5-1/2. All jobs arrive over time, and each job and its processing time become known at its arrival time. The jobs should be first processed on a single machine and then delivered by a vehicle to some customer. When the capacity of the vehicle is infinite, we provide an online algorithm with the best competitive ratio of (5+1/2. When the capacity of the vehicle is finite, that is, the vehicle can deliver at most c jobs at a time, we provide another best possible online algorithm with the competitive ratio of (5+1/2.

  3. MATERIAL PROCESSING FOR SELF-ASSEMBLING MACHINE SYSTEMS

    Energy Technology Data Exchange (ETDEWEB)

    K. LACKNER; D. BUTT; C. WENDT

    1999-06-01

    We are developing an important aspect of a new technology based on self-reproducing machine systems. Such systems could overcome resource limitations and control the deleterious side effects of human activities on the environment. Machine systems capable of building themselves promise an increase in industrial productivity as dramatic as that of the industrial revolution. To operate successfully, such systems must procure necessary raw materials from their surroundings. Therefore, next to automation, most critical for this new technology is the ability to extract important chemicals from readily available soils. In contrast to conventional metallurgical practice, these extraction processes cannot make substantial use of rare elements. We have designed a thermodynamically viable process and experimentally demonstrated most steps that differ from common practice. To this end we had to develop a small, disposable vacuum furnace system. Our work points to a viable extraction process.

  4. The text plan concept: contributions to the writing planning process

    Directory of Open Access Journals (Sweden)

    Ana Lúcia Tinoco Cabral

    2013-12-01

    Full Text Available Students - at different levels, ranging from early grades up to PhD - face problems both on comprehension and text production. This paper focuses on the text plan concept according to the DTA (Discourse Text Analysis approach, i.e., a principle of organization that allows students to put into practice the production intention as well as to arrange text information while producing; being responsible for the text compositional structure (Adam, 2008. The study analyzes the relation between text plan and the writing planning process, in which the first one provides the second with theoretical support. In order to develop such research, the study covers some issues related to the reading skill, analyzes an argumentative text as per its textual plan, and presents some reflections on the writing process, focusing on the relation between textual plan and the writing planning process.

  5. Evaluation of Process Performance for Sustainable Hard Machining

    Science.gov (United States)

    Rotella, Giovanna; Umbrello, Domenico; , Oscar W. Dillon, Jr.; Jawahir, I. S.

    This paper aims to evaluate the sustainability performance of machining operation of through-hardening steel, AISI 52100, taking into account the impact of the material removal process in its various aspects. Experiments were performed for dry and cryogenic cutting conditions using chamfered cubic boron nitride (CBN) tool inserts at varying cutting conditions (cutting speed and feed rate). Cutting forces, mechanical power, tool wear, white layer thickness, surface roughness and residual stresses were investigated in order to evaluate the effects of extreme in-process cooling on the machined surface. The results indicate that cryogenic cooling has the potential to be used for surface integrity enhancement for improved product life and more sustainable functional performance.

  6. Machine Learning for Earth Observation Flight Planning Optimization

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper is a progress report of an effort whose goal is to demonstrate the effectiveness of automated data mining and planning for the daily management of Earth...

  7. Proceedings of IEEE Machine Learning for Signal Processing Workshop XVI

    DEFF Research Database (Denmark)

    Larsen, Jan

    These proceedings contains refereed papers presented at the sixteenth IEEE Workshop on Machine Learning for Signal Processing (MLSP'2006), held in Maynooth, Co. Kildare, Ireland, September 6-8, 2006. This is a continuation of the IEEE Workshops on Neural Networks for Signal Processing (NNSP...... with sponsorship of the IEEE Signal Processing Society. Following the practice started three years ago, the bound volume of the proceedings is going to be published by IEEE following the Workshop, and we are pleased to offer to conference attendees the proceeding in a CDROM electronic format, which maintains...

  8. Intellectual Control System of Processing on CNC Machines

    Science.gov (United States)

    Nekrasov, R. Y.; Lasukov, A. A.; Starikov, A. I.; Soloviev, I. V.; Bekareva, O. V.

    2016-04-01

    Scientific and technical progress makes great demands for quality of engineering production. The priority is to ensure metalworking equipment with required dimensional accuracy during the entire period of operation at minimum manufacturing costs. In article considered the problem of increasing of accuracy of processing products on CNC. The authors offers a solution to the problem by providing compensating adjustment in the trajectory of the cutting tool and machining mode. The necessity of creation of mathematical models of processes behavior in an automated technological system operations (OATS). Based on the research, authors have proposed a generalized diagram of diagnosis and input operative correction and approximate mathematical models of individual processes of diagnosis.

  9. Proceedings of IEEE Machine Learning for Signal Processing Workshop XVI

    DEFF Research Database (Denmark)

    Larsen, Jan

    These proceedings contains refereed papers presented at the sixteenth IEEE Workshop on Machine Learning for Signal Processing (MLSP'2006), held in Maynooth, Co. Kildare, Ireland, September 6-8, 2006. This is a continuation of the IEEE Workshops on Neural Networks for Signal Processing (NNSP...... with sponsorship of the IEEE Signal Processing Society. Following the practice started three years ago, the bound volume of the proceedings is going to be published by IEEE following the Workshop, and we are pleased to offer to conference attendees the proceeding in a CDROM electronic format, which maintains...

  10. Strategic planning processes and hospital financial performance.

    Science.gov (United States)

    Kaissi, Amer A; Begun, James W

    2008-01-01

    Many common management practices in healthcare organizations, including the practice of strategic planning, have not been subject to widespread assessment through empirical research. If management practice is to be evidence-based, evaluations of such common practices need to be undertaken. The purpose of this research is to provide evidence on the extent of strategic planning practices and the association between hospital strategic planning processes and financial performance. In 2006, we surveyed a sample of 138 chief executive officers (CEOs) of hospitals in the state of Texas about strategic planning in their organizations and collected financial information on the hospitals for 2003. Among the sample hospitals, 87 percent reported having a strategic plan, and most reported that they followed a variety of common practices recommended for strategic planning-having a comprehensive plan, involving physicians, involving the board, and implementing the plan. About one-half of the hospitals assigned responsibility for the plan to the CEO. We tested the association between these planning characteristics in 2006 and two measures of financial performance for 2003. Three dimensions of the strategic planning process--having a strategic plan, assigning the CEO responsibility for the plan, and involving the board--are positively associated with earlier financial performance. Further longitudinal studies are needed to evaluate the cause-and-effect relationship between planning and performance.

  11. Collaborative Planning in Process: An Ethnomethodological Perspective

    Science.gov (United States)

    Lee, Josephine; Burch, Alfred Rue

    2017-01-01

    Following Ellis's (2005) call for more social and process-oriented planning research, this study explores how learners approach collaborative planning tasks in the classroom as a locally contingent activity in situ. Drawing on ethnomethodology and conversation analysis, the present study focuses on a group planning stage that precedes the final…

  12. Cutting force and machine kinematics constrained cutter location planning for five-axis flank milling of ruled surfaces

    Directory of Open Access Journals (Sweden)

    Ke Xu

    2017-07-01

    Full Text Available Five-axis flank milling has been commonly used in the manufacturing of complex workpieces because of its greater productivity than that of three-axis or five-axis end milling. The advantage of this milling operation largely depends on effective cutter location planning. The finished surface sometimes suffers from large geometrical errors induced by improper tool positioning, due to the non-developability of most ruled surfaces in industrial applications. In addition, a slender flank-milling cutter may be deflected when subjected to large cutting forces during the machining process, further degrading the surface quality or even breaking the cutter. This paper proposes a novel tool path planning scheme to address those problems. A simple but effective algorithm is developed to adaptively allocate a series of cutter locations over the design surface with each one being confined within an angular rotation range. The allocation result satisfies a given constraint of geometrical errors on the finished surface, which consists of the tool positioning errors at each cutter location and the sweeping errors between consecutive ones. In addition, a feed rate scheduling algorithm is proposed to maximize the machining efficiency subject to the cutting force constraint and the kinematical constraints of a specific machine configuration. Simulation and experimental tests are conducted to validate the effectiveness of the proposed algorithms. Both the machining efficiency and finish surface quality are greatly improved compared with conventional cutter locations.

  13. 3D Machine Vision and Additive Manufacturing: Concurrent Product and Process Development

    Science.gov (United States)

    Ilyas, Ismet P.

    2013-06-01

    The manufacturing environment rapidly changes in turbulence fashion. Digital manufacturing (DM) plays a significant role and one of the key strategies in setting up vision and strategic planning toward the knowledge based manufacturing. An approach of combining 3D machine vision (3D-MV) and an Additive Manufacturing (AM) may finally be finding its niche in manufacturing. This paper briefly overviews the integration of the 3D machine vision and AM in concurrent product and process development, the challenges and opportunities, the implementation of the 3D-MV and AM at POLMAN Bandung in accelerating product design and process development, and discusses a direct deployment of this approach on a real case from our industrial partners that have placed this as one of the very important and strategic approach in research as well as product/prototype development. The strategic aspects and needs of this combination approach in research, design and development are main concerns of the presentation.

  14. Characterization of nanoparticles from abrasive waterjet machining and electrical discharge machining processes.

    Science.gov (United States)

    Ling, Tsz Yan; Pui, David Y H

    2013-11-19

    Abrasive Waterjet Machining (AWM) and Electrical Discharge Machining (EDM) processes are found to produce nanoparticles during operation. Impacts of engineered nanoparticles released to the environment and biological system have caused much concern. Similarly, the nanoparticles unintentionally produced by the AWM and EDM can lead to comparable effects. By application of the Nanoparticle Tracking Analysis (NTA) technique, the size distribution and concentration of nanoparticles in the water used in AWM and EDM were measured. The particles generally have a peak size of 100-200 nm. The filtration systems of the AWM and EDM processes were found to remove 70% and 90% the nanoparticles present, respectively. However, the particle concentration of the filtered water from the AWM was still four times higher than that found in regular tap water. These nanoparticles are mostly agglomerated, according to the microscopy analysis. Using the electron dispersive spectroscopy (EDS) technique, the particles are confirmed to come from the debris of the materials cut with the equipment. Since AWM and EDM are widely used, the handling and disposal of used filters collected with nanoparticles, release of nanoparticles to the sewer, and potential use of higher performance filters for these processes will deserve further consideration.

  15. Individual Differences in Planning Processes.

    Science.gov (United States)

    1980-06-01

    just finished your piano lesson at the music school and have many errands to do before going home. Your 2-week vacation starts next week and you still...satisfactory plan. IMPLICATIONS FOR INDIVIDUAL DIFFERENCES While the OPM is not a theory of individual differences, it pro- vides a framework for studying...Errand List music school 82 plan vacation at travel agency 26 buy Spanish phrasebook at bookstore 14, 86, 32 buy new outfit at one of the fine clothes

  16. Machinability of hypereutectic cast Al–Si alloys processed by SSM processing technique

    Indian Academy of Sciences (India)

    P K SOOD; RAKESH SEHGAL; D K DWIVEDI

    2017-03-01

    Experimental investigation carried out on the machinability studies to determine the influence of semi-solid metal processing and modification on hypereutectic Al–20Si–0.5Mg–1.2Fe-based alloy produced by conventional cast and semi-solid metal processing technique (mechanical stirring) and modified with iron correctors (Be and Cd) has been presented in this paper. The alloys under investigation were prepared bycontrolling melt using an induction melting furnace. Stirring of semi-solid metal takes place at constant cooling conditions from liquidus temperature at a constant stirring speed of 400 rpm. To determine the machining performance characteristics an orthogonal array, signal-to-noise ratio and statistical tool analysis of variance were jointly used during experimentation. A CNC lathe was used to conduct experiments in dry condition and coated carbide inserts were used as tool inserts. Machining variables like cutting velocity, approaching angle,feed rate and depth of cut, which can be considered as process parameters, are taken into account. The combined effect of modification and semi-solid metal processing has a significant effect on the machining characteristics,which was concluded from study. The modified alloy processed by semi-solid metal processing technique exhibits better machinability conditions when compared with the conventional cast. The feed rate has more effect on machining behaviour.

  17. A PLM-based automated inspection planning system for coordinate measuring machine

    Science.gov (United States)

    Zhao, Haibin; Wang, Junying; Wang, Boxiong; Wang, Jianmei; Chen, Huacheng

    2006-11-01

    With rapid progress of Product Lifecycle Management (PLM) in manufacturing industry, automatic generation of inspection planning of product and the integration with other activities in product lifecycle play important roles in quality control. But the techniques for these purposes are laggard comparing with techniques of CAD/CAM. Therefore, an automatic inspection planning system for Coordinate Measuring Machine (CMM) was developed to improve the automatization of measuring based on the integration of inspection system in PLM. Feature information representation is achieved based on a PLM canter database; measuring strategy is optimized through the integration of multi-sensors; reasonable number and distribution of inspection points are calculated and designed with the guidance of statistic theory and a synthesis distribution algorithm; a collision avoidance method is proposed to generate non-collision inspection path with high efficiency. Information mapping is performed between Neutral Interchange Files (NIFs), such as STEP, DML, DMIS, XML, etc., to realize information integration with other activities in the product lifecycle like design, manufacturing and inspection execution, etc. Simulation was carried out to demonstrate the feasibility of the proposed system. As a result, the inspection process is becoming simpler and good result can be got based on the integration in PLM.

  18. Process monitoring evaluation and implementation for the wood abrasive machining process.

    Science.gov (United States)

    Saloni, Daniel E; Lemaster, Richard L; Jackson, Steven D

    2010-01-01

    Wood processing industries have continuously developed and improved technologies and processes to transform wood to obtain better final product quality and thus increase profits. Abrasive machining is one of the most important of these processes and therefore merits special attention and study. The objective of this work was to evaluate and demonstrate a process monitoring system for use in the abrasive machining of wood and wood based products. The system developed increases the life of the belt by detecting (using process monitoring sensors) and removing (by cleaning) the abrasive loading during the machining process. This study focused on abrasive belt machining processes and included substantial background work, which provided a solid base for understanding the behavior of the abrasive, and the different ways that the abrasive machining process can be monitored. In addition, the background research showed that abrasive belts can effectively be cleaned by the appropriate cleaning technique. The process monitoring system developed included acoustic emission sensors which tended to be sensitive to belt wear, as well as platen vibration, but not loading, and optical sensors which were sensitive to abrasive loading.

  19. Strategy in Generative Planning of Turning Processes

    NARCIS (Netherlands)

    van Houten, Frederikus J.A.M.; Kals, H.J.J.

    1986-01-01

    This paper reports on the process and operations planning system ROUND and the strategies which underlie the decision making processes in the planning of turning operations. At first, an outline is given about the environment for which generative systems like ROUND are being developed. The

  20. Strategy in Generative Planning of Turning Processes

    NARCIS (Netherlands)

    Houten, van F.J.A.M.; Kals, H.J.J.

    1986-01-01

    This paper reports on the process and operations planning system ROUND and the strategies which underlie the decision making processes in the planning of turning operations. At first, an outline is given about the environment for which generative systems like ROUND are being developed. The differenc

  1. Strategy in Generative Planning of Turning Processes

    NARCIS (Netherlands)

    van Houten, Frederikus J.A.M.; Kals, H.J.J.

    1986-01-01

    This paper reports on the process and operations planning system ROUND and the strategies which underlie the decision making processes in the planning of turning operations. At first, an outline is given about the environment for which generative systems like ROUND are being developed. The differenc

  2. Towards automatic planning for manufacturing generative processes

    Energy Technology Data Exchange (ETDEWEB)

    CALTON,TERRI L.

    2000-05-24

    Generative process planning describes methods process engineers use to modify manufacturing/process plans after designs are complete. A completed design may be the result from the introduction of a new product based on an old design, an assembly upgrade, or modified product designs used for a family of similar products. An engineer designs an assembly and then creates plans capturing manufacturing processes, including assembly sequences, component joining methods, part costs, labor costs, etc. When new products originate as a result of an upgrade, component geometry may change, and/or additional components and subassemblies may be added to or are omitted from the original design. As a result process engineers are forced to create new plans. This is further complicated by the fact that the process engineer is forced to manually generate these plans for each product upgrade. To generate new assembly plans for product upgrades, engineers must manually re-specify the manufacturing plan selection criteria and re-run the planners. To remedy this problem, special-purpose assembly planning algorithms have been developed to automatically recognize design modifications and automatically apply previously defined manufacturing plan selection criteria and constraints.

  3. Implementation of a classifier didactical machine for learning mechatronic processes

    Directory of Open Access Journals (Sweden)

    Alex De La Cruz

    2017-06-01

    Full Text Available The present article shows the design and construction of a classifier didactical machine through artificial vision. The implementation of the machine is to be used as a learning module of mechatronic processes. In the project, it is described the theoretical aspects that relate concepts of mechanical design, electronic design and software management which constitute popular field in science and technology, which is mechatronics. The design of the machine was developed based on the requirements of the user, through the concurrent design methodology to define and materialize the appropriate hardware and software solutions. LabVIEW 2015 was implemented for high-speed image acquisition and analysis, as well as for the establishment of data communication with a programmable logic controller (PLC via Ethernet and an open communications platform known as Open Platform Communications - OPC. In addition, the Arduino MEGA 2560 platform was used to control the movement of the step motor and the servo motors of the module. Also, is used the Arduino MEGA 2560 to control the movement of the stepper motor and servo motors in the module. Finally, we assessed whether the equipment meets the technical specifications raised by running specific test protocols.

  4. Community of Interest Engagement Process Plan

    Science.gov (United States)

    2012-02-09

    and input from Subject Matter Experts (SMEs), as shown in the far left of Figure 2. The team may prepare a Business Process Model Notation ( BPMN ) 22...22 Business Process Modeling Notation ( BPMN ) is a method of illustrating business processes in the form of a...Community of Interest Engagement Plan Joint Planning and Development Office 21 10. Acronyms BPMN Business Process Modeling Notation COI

  5. Analysis of paper machine process waters; Paperikoneen prosessivesianalytiikka - MPKT 09

    Energy Technology Data Exchange (ETDEWEB)

    Knuutinen, J.; Alen, R.; Harjula, P.; Kilpinen, J.; Pallonen, R.; Jurvela, V.

    1998-12-31

    The closure of paper machine circuits demands a better knowledge of the chemical structures and behaviour of organic compounds in pulp mill process waters. Nonionic or negatively charged detrimental substances (anionic trash) which will eventually cause runnability. Paper quality problems are of special interest. The main purpose of the project was to develop routine `fingerprint` analytical procedures to study various process waters. Our major interest was focused on low molecular weight carboxylic acids, carbohydrates and lignin based material. The `fingerprints` (chromatograms and electropherograms) can be used to differentiate various process waters or to find out changes between the composition of organic compounds in various stages of the papermaking process. Until now the most characteristic `fingerprints` were obtained by capillary zone electrophoresis (CZE) and by pyrolysis - gas chromatography - mass spectrometry (Py-GC/MS). Examples of using these techniques are briefly discussed. (orig.)

  6. Sewing machines and bank loans, farming and family planning.

    Science.gov (United States)

    Sai, F A; Nsarkoh, J D

    1980-03-01

    Half of a $10,000 grant was given by the International Planned Parenthood Federation (IPPF) to finance the rural development project activities of Danfa, a village of about 835 people in Ghana. In this community the women are hard working but doubly disadvantaged. Along with a high illiteracy rate, the women are limited by inadequate income due to underemployment, under productivity, unfavorable farming conditions, and a lack of resources. Large families, frequent pregnancies, poor mother and child health, and high infant mortality all make matters worse for both the rural farm wife and her family. The project began with a nucleus of women that soon grew to between 24-30. Members soon formed small groups according to their occupational interests. The women grasped the self-help idea immediately. Once or twice a month there were demonstrations and the group worked together in such activities as making soap and pomade, preparing meals, and sewing. Meetings generally ended with a general group brainstorming and then members gathered in smaller groups to review their activities and plan for the future. During the 1st year of the project the men in the group rarely attended meetings. The group gave priority attention to their community's urgent need for working capital. 15 women farmers who met the criteria determined by the group received loans in the 1st round; only 8 satisfied the criteria in the 2nd round. At the beginning of the small loans scheme, the group decided to seek bigger loans from the bank if members proved credit worthy. This requirement was satisfied, and the group began negotiations for a loan with the Agricultural Development Bank. The group received the total group loan. The Ghana Home Science Association considers the project to be successful in several respects. Team spirit has developed the group, and the women play important and respected roles. Family planning problems are regularly presented for discussion, but it is difficult to correlate

  7. Advanced planning for ISS payload ground processing

    Science.gov (United States)

    Page, Kimberly A.

    2000-01-01

    Ground processing at John F. Kennedy Space Center (KSC) is the concluding phase of the payload/flight hardware development process and is the final opportunity to ensure safe and successful recognition of mission objectives. Planning for the ground processing of on-orbit flight hardware elements and payloads for the International Space Station is a responsibility taken seriously at KSC. Realizing that entering into this operational environment can be an enormous undertaking for a payload customer, KSC continually works to improve this process by instituting new/improved services for payload developer/owner, applying state-of-the-art technologies to the advanced planning process, and incorporating lessons learned for payload ground processing planning to ensure complete customer satisfaction. This paper will present an overview of the KSC advanced planning activities for ISS hardware/payload ground processing. It will focus on when and how KSC begins to interact with the payload developer/owner, how that interaction changes (and grows) throughout the planning process, and how KSC ensures that advanced planning is successfully implemented at the launch site. It will also briefly consider the type of advance planning conducted by the launch site that is transparent to the payload user but essential to the successful processing of the payload (i.e. resource allocation, executing documentation, etc.) .

  8. Modeling and Simulation of Process-Machine Interaction in Grinding of Cemented Carbide Indexable Inserts

    Directory of Open Access Journals (Sweden)

    Wei Feng

    2015-01-01

    Full Text Available Interaction of process and machine in grinding of hard and brittle materials such as cemented carbide may cause dynamic instability of the machining process resulting in machining errors and a decrease in productivity. Commonly, the process and machine tools were dealt with separately, which does not take into consideration the mutual interaction between the two subsystems and thus cannot represent the real cutting operations. This paper proposes a method of modeling and simulation to understand well the process-machine interaction in grinding process of cemented carbide indexable inserts. First, a virtual grinding wheel model is built by considering the random nature of abrasive grains and a kinematic-geometrical simulation is adopted to describe the grinding process. Then, a wheel-spindle model is simulated by means of the finite element method to represent the machine structure. The characteristic equation of the closed-loop dynamic grinding system is derived to provide a mathematic description of the process-machine interaction. Furthermore, a coupling simulation of grinding wheel-spindle deformations and grinding process force by combining both the process and machine model is developed to investigate the interaction between process and machine. This paper provides an integrated grinding model combining the machine and process models, which can be used to predict process-machine interactions in grinding process.

  9. Statistical process control (SPC) for coordinate measurement machines

    Energy Technology Data Exchange (ETDEWEB)

    Escher, R.N.

    2000-01-04

    The application of process capability analysis, using designed experiments, and gage capability studies as they apply to coordinate measurement machine (CMM) uncertainty analysis and control will be demonstrated. The use of control standards in designed experiments, and the use of range charts and moving range charts to separate measurement error into it's discrete components will be discussed. The method used to monitor and analyze the components of repeatability and reproducibility will be presented with specific emphasis on how to use control charts to determine and monitor CMM performance and capability, and stay within your uncertainty assumptions.

  10. Unsupervised process monitoring and fault diagnosis with machine learning methods

    CERN Document Server

    Aldrich, Chris

    2013-01-01

    This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, the extension of kernel methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep architectures for enhanced data

  11. Integration of Environmental Planning Into the Army Master Planning Process

    Science.gov (United States)

    1992-10-01

    1976; Willson, Tabas, and Henneman 1979, pp 139-149). Many researchers have pointed out that the suitability of the integration of the two processes...installation planner, who must elicit, translate , and synthesize the master plan objcctives of a number of disparate sources, including Major Commands, other...August 1988). Willson, John S., Philip Tabas, and Marian Henneman , Comprehensive Planning and the Environment, A Manual for Planners, (Abt Books

  12. Integrated quality control architecture for multistage machining processes

    Science.gov (United States)

    Yang, Jie; Liu, Guixiong

    2010-12-01

    To solve problems concerning the process quality prediction control for the multistage machining processes, a integrated quality control architecture is proposed in this paper. First, a hierarchical multiple criteria decision model is established for the key process and the weight matrix method stratified is discussed. Predictive control of the manufacturing quality is not just for on-site monitoring and control layer, control layer in the enterprise, remote monitoring level of quality exists a variety of target predictive control demand, therefore, based on XML to achieve a unified description of manufacturing quality information, and in different source of quality information between agencies to achieve the transfer and sharing. This will predict complex global quality control, analysis and diagnosis data to lay a good foundation to achieve a more practical, open and standardized manufacturing quality with higher levels of information integration system.

  13. Learning with Uncertainty - Gaussian Processes and Relevance Vector Machines

    DEFF Research Database (Denmark)

    Candela, Joaquin Quinonero

    2004-01-01

    This thesis is concerned with Gaussian Processes (GPs) and Relevance Vector Machines (RVMs), both of which are particular instances of probabilistic linear models. We look at both models from a Bayesian perspective, and are forced to adopt an approximate Bayesian treatment to learning for two...... family of approximations to Gaussian Processes, Reduced Rank Gaussian Processes (RRGPs), which take the form of nite extended linear models; we show that GPs are in general equivalent to in nite extended linear models. We also show that RRGPs result in degenerate GPs, which suffer, like RVMs...... reasons. The first reason is the analytical intractability of the full Bayesian treatment and the fact that we in principle do not want to resort to sampling methods. The second reason, which incidentally justifies our not wanting to sample, is that we are interested in computationally efficient models...

  14. WRAP process area development control work plan

    Energy Technology Data Exchange (ETDEWEB)

    Leist, K.L., Fluor Daniel Hanford

    1997-02-27

    This work plan defines the manner in which the Waste Receiving and Processing Facility, Module I Process Area will be maintained under development control status. This status permits resolution of identified design discrepancies, control system changes, as-building of equipment, and perform modifications to increase process operability and maintainability as parallel efforts. This work plan maintains configuration control as these efforts are undertaken. This task will end with system testing and reissue of field verified design drawings.

  15. A planning quality evaluation tool for prostate adaptive IMRT based on machine learning

    Energy Technology Data Exchange (ETDEWEB)

    Zhu Xiaofeng; Ge Yaorong; Li Taoran; Thongphiew, Danthai; Yin Fangfang; Wu, Q Jackie [Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27708 (United States); Department of Biomedical Engineering, Wake Forest University Health Sciences, Medical Center Boulevard, Winston-Salem, North Carolina 27106 (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27708 (United States); Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834 (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27708 (United States)

    2011-02-15

    Purpose: To ensure plan quality for adaptive IMRT of the prostate, we developed a quantitative evaluation tool using a machine learning approach. This tool generates dose volume histograms (DVHs) of organs-at-risk (OARs) based on prior plans as a reference, to be compared with the adaptive plan derived from fluence map deformation. Methods: Under the same configuration using seven-field 15 MV photon beams, DVHs of OARs (bladder and rectum) were estimated based on anatomical information of the patient and a model learned from a database of high quality prior plans. In this study, the anatomical information was characterized by the organ volumes and distance-to-target histogram (DTH). The database consists of 198 high quality prostate plans and was validated with 14 cases outside the training pool. Principal component analysis (PCA) was applied to DVHs and DTHs to quantify their salient features. Then, support vector regression (SVR) was implemented to establish the correlation between the features of the DVH and the anatomical information. Results: DVH/DTH curves could be characterized sufficiently just using only two or three truncated principal components, thus, patient anatomical information was quantified with reduced numbers of variables. The evaluation of the model using the test data set demonstrated its accuracy {approx}80% in prediction and effectiveness in improving ART planning quality. Conclusions: An adaptive IMRT plan quality evaluation tool based on machine learning has been developed, which estimates OAR sparing and provides reference in evaluating ART.

  16. Optimizing machining parameters of wire-EDM process to cut Al7075/SiCp composites using an integrated statistical approach

    Institute of Scientific and Technical Information of China (English)

    Thella Babu Rao

    2016-01-01

    Metal matrix composites (MMCs) as advanced materials,while producing the components with high dimensional accuracy and intricate shapes,are more complex and cost effective for machining than conventional alloys.It is due to the presence of discontinuously distributed hard ceramic with the MMCs and involvement of a large number of machining control variables.However,determination of optimal machining conditions helps the process engineer to make the process efficient and effective.In the present investigation a novel hybrid multi-response optimization approach is proposed to derive the economic machining conditions for MMCs.This hybrid approach integrates the concepts of grey relational analysis (GRA),principal component analysis (PCA) and Taguchi method (TM) to derive the optimal machining conditions.The machining experiments are planned to machine A17075/SiCp MMCs using wire-electrical discharge machining (WEDM) process.SiC particulate size and its weight percentage are explicitly considered here as the process variables along with the WEDM input variables.The derived optimal process responses are confirmed by the experimental validation tests and the results show satisfactory.The practical possibility of the derived optimal machining conditions is also analyzed and presented using scanning electron microscope (SEM) examinations.According to the growing industrial need of making high performance,low cost components,this investigation provides a simple and sequential approach to enhance the WEDM performance while machining MMCs.

  17. A public health hazard mitigation planning process.

    Science.gov (United States)

    Griffith, Jennifer M; Kay Carpender, S; Crouch, Jill Artzberger; Quiram, Barbara J

    2014-01-01

    The Texas A&M Health Science Center School of Rural Public Health, a member of the Training and Education Collaborative System Preparedness and Emergency Response Learning Center (TECS-PERLC), has long-standing partnerships with 2 Health Service Regions (Regions) in Texas. TECS-PERLC was contracted by these Regions to address 2 challenges identified in meeting requirements outlined by the Risk-Based Funding Project. First, within Metropolitan Statistical Areas, there is not a formal authoritative structure. Second, preexisting tools and processes did not adequately satisfy requirements to assess public health, medical, and mental health needs and link mitigation strategies to the Public Health Preparedness Capabilities, which provide guidance to prepare for, respond to, and recover from public health incidents. TECS-PERLC, with its partners, developed a framework to interpret and apply results from the Texas Public Health Risk Assessment Tool (TxPHRAT). The 3-phase community engagement-based TxPHRAT Mitigation Planning Process (Mitigation Planning Process) and associated tools facilitated the development of mitigation plans. Tools included (1) profiles interpreting TxPHRAT results and identifying, ranking, and prioritizing hazards and capability gaps; (2) a catalog of intervention strategies and activities linked to hazards and capabilities; and (3) a template to plan, evaluate, and report mitigation planning efforts. The Mitigation Planning Process provided a framework for Regions to successfully address all funding requirements. TECS-PERLC developed more than 60 profiles, cataloged and linked 195 intervention strategies, and developed a template resulting in 20 submitted mitigation plans. A public health-focused, community engagement-based mitigation planning process was developed by TECS-PERLC and successfully implemented by the Regions. The outcomes met all requirements and reinforce the effectiveness of academic practice partnerships and importance of

  18. A Study on the Optimization Performance of Fireworks and Cuckoo Search Algorithms in Laser Machining Processes

    Science.gov (United States)

    Goswami, D.; Chakraborty, S.

    2014-11-01

    Laser machining is a promising non-contact process for effective machining of difficult-to-process advanced engineering materials. Increasing interest in the use of lasers for various machining operations can be attributed to its several unique advantages, like high productivity, non-contact processing, elimination of finishing operations, adaptability to automation, reduced processing cost, improved product quality, greater material utilization, minimum heat-affected zone and green manufacturing. To achieve the best desired machining performance and high quality characteristics of the machined components, it is extremely important to determine the optimal values of the laser machining process parameters. In this paper, fireworks algorithm and cuckoo search (CS) algorithm are applied for single as well as multi-response optimization of two laser machining processes. It is observed that although almost similar solutions are obtained for both these algorithms, CS algorithm outperforms fireworks algorithm with respect to average computation time, convergence rate and performance consistency.

  19. Impact of machines on plan quality: volumetric modulated arc therapy and intensity modulated radiation therapy.

    Science.gov (United States)

    Clemente, S; Cozzolino, M; Oliviero, C; Fiorentino, A; Chiumento, C; Fusco, V

    2014-02-01

    To evaluate the impact of different machines on plan quality using both intensity modulated radiation therapy (IMRT) and volumetric-modulated arc therapy (VMAT) techniques. Eight patients with squamous cell carcinoma of the oropharynx were selected at random. Plans were computed for IMRT and VMAT Smart Arc, using Pinnacle TPS for an Elekta (IMRT-E, VMAT-E) and Varian linac (IMRT-V, VMAT-V). A three-dose level prescription was used to deliver 70, 63 and 58.1 Gy to regions of macroscopic, microscopic high- and low-risk disease, respectively. All doses were given in 35 fractions. Comparisons were performed on dose-volume histogram data, monitor units (MU), and delivery time. VMAT-E plans resulted slightly MU efficient (-24 % p delivery time (-19 % p < 0.05) compared to IMRT-E. All the delivery techniques resulted in equivalent target coverage in terms of D(98) % and D(2) %. For VMAT technique, a significant improvement of 7 % in homogeneity index (HI) for PTV58.1 was observed for Varian machine. A slight improvement in OARs sparing was observed with Elekta machine both for IMRT and VMAT techniques. Similar plan quality was observed for Elekta and Varian linacs, significant differences were observed in delivery efficiency, as MU number and delivery times, in favor of Elekta and Varian, respectively.

  20. SENSITIVITY ANALYSIS FOR ROLLING PROCESS BASED ON SUPPORT VECTOR MACHINE

    Institute of Scientific and Technical Information of China (English)

    Huang Yanwei; Wu Tihua; Zhao Jingyi; Wang Yiqun

    2005-01-01

    A method for the calculation of the sensitivity factors of the rolling process has been obtained by differentiating the roll force model based on support vector machine. It can eliminate the algebraic loop of the analytical model of the rolling process. The simulations in the first stand of five stand cold tandem rolling mill indicate that the calculation for sensitivities by this proposed method can obtain a good accuracy, and an appropriate adjustment on the control variables determined directly by the sensitivity has an excellent compensation accuracy. Moreover, the roll gap has larger effect on the exit thickness than both front tension and back tension, and it is more efficient to select the roll gap as the controlvariable of the thickness control system in the first stand.

  1. Two-machine flow shop scheduling integrated with preventive maintenance planning

    Science.gov (United States)

    Wang, Shijin; Liu, Ming

    2016-02-01

    This paper investigates an integrated optimisation problem of production scheduling and preventive maintenance (PM) in a two-machine flow shop with time to failure of each machine subject to a Weibull probability distribution. The objective is to find the optimal job sequence and the optimal PM decisions before each job such that the expected makespan is minimised. To investigate the value of integrated scheduling solution, computational experiments on small-scale problems with different configurations are conducted with total enumeration method, and the results are compared with those of scheduling without maintenance but with machine degradation, and individual job scheduling combined with independent PM planning. Then, for large-scale problems, four genetic algorithm (GA) based heuristics are proposed. The numerical results with several large problem sizes and different configurations indicate the potential benefits of integrated scheduling solution and the results also show that proposed GA-based heuristics are efficient for the integrated problem.

  2. Integrated Virtual Assembly Process Planning System

    Institute of Scientific and Technical Information of China (English)

    LIU Jianhua; HOU Weiwei; HOU Weiwei; SHANG Wei; SHANG Wei; NING Ruxin; NING Ruxin

    2009-01-01

    Assembly process planning(APP) for complicated products is a time-consuming and difficult work with conventional method. Virtual assembly process planning(VAPP) provides engineers a new and efficiency way. Previous studies in VAPP are almost isolated and dispersive, and have not established a whole understanding and discussed key realization techniques of VAPP from a systemic and integrated view. The integrated virtual assembly process planning(IVAPP) system is a new virtual reality based engineering application, which offers engineers an efficient, intuitive, immersive and integrated method for assembly process planning in a virtual environment. Based on analysis the information integration requirement of VAPP, the architecture of IVAPP is proposed. Through the integrated structure, IVAPP system can realize information integration and workflow controlling. In order to model the assembly process in IVAPP, a hierarchical assembly task list(HATL) is presented, in which different assembly tasks for assembling different components are organized into a hierarchical list. A process-oriented automatic geometrical constraint recognition algorithm(AGCR) is proposed, so that geometrical constraints between components can be automatically recognized during the process of interactive assembling. At the same time, a progressive hierarchical reasoning(PHR) model is discussed. AGCR and PHR will greatly reduce the interactive workload. A discrete control node model(DCNM) for cable harness assembly planning in IVAPP is detailed. DCNM converts a cable harness into continuous flexed line segments connected by a series of section center points, and designs can realize cable harness planning through controlling those control nodes. Mechanical assemblies (such as transmission case and engine of automobile) are used to illustrate the feasibility of the proposed method and algorithms. The application of IVAPP system reveals advantages over the traditional assembly process planning method

  3. Are pedestrians invisible in the planning process?

    DEFF Research Database (Denmark)

    Gemzøe, Lars

    2001-01-01

    The vehicular traffic is very visible in the planning process. One of the reasons is that there is always plenty of data on the problems of car traffic - but what about data on the pedestrians and their needs? Three major studies on people in public spaces in the Inner City of Copenhagen have...... supplied data that show the quantity, character and changes through 30 years of public life. People in Copenhagen have become visible in the planning process. cd-rom....

  4. Complex Ornament Machining Process on a CNC Router

    Directory of Open Access Journals (Sweden)

    Camelia COŞEREANU

    2014-03-01

    Full Text Available The paper investigates the CNC routering possibilities for three species of wood, namely ash (Fraxinus Excelsior, lime wood (Tilia cordata and fir wood (Abies Alba, in order to obtain right surfaces of Art Nouveau sculptured ornaments. Given the complexity of the CNC tool path for getting wavy shapes of Art Nouveau decorations, the choice of processing parameters for each processed species of wood requires a laborious research work to correlate these parameters. Two Art Nouveau ornaments are proposed for the investigation. They are CNC routered using two types of cutting tools. The processed parameters namely the spindle speed, feed speed and depth of cut were the three variables of the machining process for the three species of wood, which were combined so, to provide good surface finish as a quality attribute. There were totally forty six variants of combining the processing parameter which were applied for CNC routering the samples made of the three species of wood. At the end, an optimum combination of the processed parameters is recommended for each species of wood.

  5. Managing magnetic resonance imaging machines: support tools for scheduling and planning.

    Science.gov (United States)

    Carpenter, Adam P; Leemis, Lawrence M; Papir, Alan S; Phillips, David J; Phillips, Grace S

    2011-06-01

    We devise models and algorithms to estimate the impact of current and future patient demand for examinations on Magnetic Resonance Imaging (MRI) machines at a hospital radiology department. Our work helps improve scheduling decisions and supports MRI machine personnel and equipment planning decisions. Of particular novelty is our use of scheduling algorithms to compute the competing objectives of maximizing examination throughput and patient-magnet utilization. Using our algorithms retrospectively can help (1) assess prior scheduling decisions, (2) identify potential areas of efficiency improvement and (3) identify difficult examination types. Using a year of patient data and several years of MRI utilization data, we construct a simulation model to forecast MRI machine demand under a variety of scenarios. Under our predicted demand model, the throughput calculated by our algorithms acts as an estimate of the overtime MRI time required, and thus, can be used to help predict the impact of different trends in examination demand and to support MRI machine staffing and equipment planning.

  6. A machine learning tool for re-planning and adaptive RT: A multicenter cohort investigation.

    Science.gov (United States)

    Guidi, G; Maffei, N; Meduri, B; D'Angelo, E; Mistretta, G M; Ceroni, P; Ciarmatori, A; Bernabei, A; Maggi, S; Cardinali, M; Morabito, V E; Rosica, F; Malara, S; Savini, A; Orlandi, G; D'Ugo, C; Bunkheila, F; Bono, M; Lappi, S; Blasi, C; Lohr, F; Costi, T

    2016-12-01

    To predict patients who would benefit from adaptive radiotherapy (ART) and re-planning intervention based on machine learning from anatomical and dosimetric variations in a retrospective dataset. 90 patients (pts) treated for head-neck cancer (H&N) formed a multicenter data-set. 41 H&N pts (45.6%) were considered for learning; 49 pts (54.4%) were used to test the tool. A homemade machine-learning classifier was developed to analyze volume and dose variations of parotid glands (PG). Using deformable image registration (DIR) and GPU, patients' conditions were analyzed automatically. Support Vector Machines (SVM) was used for time-series evaluation. "Inadequate" class identified patients that might benefit from replanning. Double-blind evaluation by two radiation oncologists (ROs) was carried out to validate day/week selected for re-planning by the classifier. The cohort was affected by PG mean reduction of 23.7±8.8%. During the first 3weeks, 86.7% cases show PG deformation aligned with predefined tolerance, thus not requiring re-planning. From 4th week, an increased number of pts would potentially benefit from re-planning: a mean of 58% of cases, with an inter-center variability of 8.3%, showed "inadequate" conditions. 11% of cases showed "bias" due to DIR and script failure; 6% showed "warning" output due to potential positioning issues. Comparing re-planning suggested by tool with recommended by ROs, the 4th week seems the most favorable time in 70% cases. SVM and decision-making tool was applied to overcome ART challenges. Pts would benefit from ART and ideal time for re-planning intervention was identified in this retrospective analysis. Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

  7. The planning of training process in triathlon

    Directory of Open Access Journals (Sweden)

    Volodymyr Vodlozerov

    2016-04-01

    Full Text Available Purpose: is the working out of base variant of training process as the base for planning of individual training of triathlete. Material & Methods: studying and generalization of special literature of basis training process for endurance in cyclic kinds of sports, the analysis of training of famous triathletes to competitions. Results: mane stages of training process formation in triathlon and features of distribution of sportsman’s training load in depending on period of training were considered. Conclusions: comprehensive planning of training process in different kinds of triathlon is lying down in basis of improving of competition form of triathlete.

  8. Costing Generated Runtime Execution Plans for Large-Scale Machine Learning Programs

    OpenAIRE

    Boehm, Matthias

    2015-01-01

    Declarative large-scale machine learning (ML) aims at the specification of ML algorithms in a high-level language and automatic generation of hybrid runtime execution plans ranging from single node, in-memory computations to distributed computations on MapReduce (MR) or similar frameworks like Spark. The compilation of large-scale ML programs exhibits many opportunities for automatic optimization. Advanced cost-based optimization techniques require---as a fundamental precondition---an accurat...

  9. STEP based Finish Machining CAPP system

    OpenAIRE

    A Arivazhagan; Mehta, NK; Jain, PK

    2012-01-01

    This research paper presents various methodologies developed in a STEP based Computer Aided Process Planning (CAPP) system named "Finish Machining – CAPP" (FM-CAPP). It is developed to generate automatic process plans for finish machining prismatic parts. It is designed in a modular fashion consisting of three main modules, namely (i) Feature Recognition module (FRM) (ii) Machining Planning Module (MPM) and (iii) Setup Planning Module (SPM). The FRM Module analyses the geometrical and topolog...

  10. Design of Experimentation, Artificial Neural Network Simulation and Optimization for Integrated Bamboo Processing Machine

    Directory of Open Access Journals (Sweden)

    P. G. Mehar

    2015-11-01

    Full Text Available In this research work experimentation on integrated bamboo processing machine for splitting and slicing of bamboo has been carried out. This paper presents the experimental investigation of some parameters of integrated bamboo processing machine. In this research paper simulation of experimental data using artificial neural network is carried out. An attempt of minimum-maximum principle has been made to optimize by range bound process for maximizing production rate of integrated bamboo processing machine.

  11. Effect of the Machining Processes on Low Cycle Fatigue Behavior of a Powder Metallurgy Disk

    Science.gov (United States)

    Telesman, J.; Kantzos, P.; Gabb, T. P.; Ghosn, L. J.

    2010-01-01

    A study has been performed to investigate the effect of various machining processes on fatigue life of configured low cycle fatigue specimens machined out of a NASA developed LSHR P/M nickel based disk alloy. Two types of configured specimen geometries were employed in the study. To evaluate a broach machining processes a double notch geometry was used with both notches machined using broach tooling. EDM machined notched specimens of the same configuration were tested for comparison purposes. Honing finishing process was evaluated by using a center hole specimen geometry. Comparison testing was again done using EDM machined specimens of the same geometry. The effect of these machining processes on the resulting surface roughness, residual stress distribution and microstructural damage were characterized and used in attempt to explain the low cycle fatigue results.

  12. Counterfeit Electronics Detection Using Image Processing and Machine Learning

    Science.gov (United States)

    Asadizanjani, Navid; Tehranipoor, Mark; Forte, Domenic

    2017-01-01

    Counterfeiting is an increasing concern for businesses and governments as greater numbers of counterfeit integrated circuits (IC) infiltrate the global market. There is an ongoing effort in experimental and national labs inside the United States to detect and prevent such counterfeits in the most efficient time period. However, there is still a missing piece to automatically detect and properly keep record of detected counterfeit ICs. Here, we introduce a web application database that allows users to share previous examples of counterfeits through an online database and to obtain statistics regarding the prevalence of known defects. We also investigate automated techniques based on image processing and machine learning to detect different physical defects and to determine whether or not an IC is counterfeit.

  13. Learning with Uncertainty - Gaussian Processes and Relevance Vector Machines

    DEFF Research Database (Denmark)

    Candela, Joaquin Quinonero

    2004-01-01

    This thesis is concerned with Gaussian Processes (GPs) and Relevance Vector Machines (RVMs), both of which are particular instances of probabilistic linear models. We look at both models from a Bayesian perspective, and are forced to adopt an approximate Bayesian treatment to learning for two....... Computational efficiency is obtained through sparseness: sparse linear models have a significant number of their weights set to zero. For the RVM, which we treat in Chap. 2, we show that it is precisely the particular choice of Bayesian approximation that enforces sparseness. Probabilistic models have...... the important property of producing predictive distributions instead of point predictions. We also show that the resulting sparse probabilistic model implies counterintuitive priors over functions, and ultimately inappropriate predictive variances; the model is more certain about its predictions, the further...

  14. Sustainable Building through Project Planning Process

    Directory of Open Access Journals (Sweden)

    Anuar Alias

    2014-10-01

    Full Text Available Planning process has a significant impact on the ability of a construction project to success. This is the stage where the detailed directions are given which would affect thewhole course of the project. The process is argued to be the most crucial stage which the principles of sustainability are integrated throughout the whole life of building. The purpose of this research was to investigate the Malaysian building project stakeholders’ perspectives on the most significant strategies to integrate sustainability principles into thewhole life of building through the project planning process. From the review of available literatures, there are 21 strategies to integrate sustainability principles during a building project planning process have been unveiled. A total of 357 Malaysian project stakeholderswho have been directly involved in sustainable building project and/or the stakeholders who are judged to be knowledgeable on the project were selected to be contributed for questionnaire survey. The collected data were analyzed using cronbach’s alpha measurement to assess their internal reliability, and frequency and descriptive analysis tomeasure the relative importance of the factors. The result shows that all the 21 strategies (the factors to integrate sustainability during a project planning process were identified by the respondents to be very crucial to be implemented throughout the planning process ofa sustainable building project in Malaysia. This paper offers ideas and recommendations on the sustainability integration strategies to be practiced throughout the project planningprocess towards delivering a successful sustainable building project. The concept is very useful to be a starting point for the development of a practical ‘Sustainability IntegrationFramework’ during the planning process of a sustainable building project in the future.Keywords: Sustainable Building Project; Construction Project; Project Planning Process

  15. Conservation planning as a transdisciplinary process.

    Science.gov (United States)

    Reyers, Belinda; Roux, Dirk J; Cowling, Richard M; Ginsburg, Aimee E; Nel, Jeanne L; O' Farrell, Patrick

    2010-08-01

    Despite substantial growth in the field of conservation planning, the speed and success with which conservation plans are converted into conservation action remains limited. This gap between science and action extends beyond conservation planning into many other applied sciences and has been linked to complexity of current societal problems, compartmentalization of knowledge and management sectors, and limited collaboration between scientists and decision makers. Transdisciplinary approaches have been proposed as a possible way to address these challenges and to bridge the gap between science and action. These approaches move beyond the bridging of disciplines to an approach in which science becomes a social process resolving problems through the participation and mutual learning of stakeholders. We explored the principles of transdisciplinarity, in light of our experiences as conservation-planning researchers working in South Africa, to better understand what is required to make conservation planning transdisciplinary and therefore more effective. Using the transdisciplinary hierarchy of knowledge (empirical, pragmatic, normative, and purposive), we found that conservation planning has succeeded in integrating many empirical disciplines into the pragmatic stakeholder-engaged process of strategy development and implementation. Nevertheless, challenges remain in engagement of the social sciences and in understanding the social context of implementation. Farther up this knowledge hierarchy, at the normative and purposive levels, we found that a lack of integrated land-use planning and policies (normative) and the dominant effect of national values (purposive) that prioritize growth and development limit the effectiveness and relevance of conservation plans. The transdisciplinary hierarchy of knowledge highlighted that we need to move beyond bridging the empirical and pragmatic disciplines into the complex normative world of laws, policies, and planning and become

  16. Report on the planning workshop on cost-effective ceramic machining. Ceramic Technology Project

    Energy Technology Data Exchange (ETDEWEB)

    Blau, P.J.

    1991-11-01

    A workshop on ``Cost Effective Ceramic Machining`` (CECM) was held at Oak Ridge Associated Universities Pollard Auditorium, Oak Ridge, Tennessee, May 1991. The purpose of this workshop was to present a preliminary project plan for industry critique and to identify specific components and cost-reduction targets for a new project on Cost Effective Ceramic Machining. The CECM project is an extension of the work on the Ceramic Technology for Advanced Heat Engines (CTAHE) Program sponsored by the Department of Energy, Office of Transportation Materials. The workshop consisted of fifteen invited papers, discussions, a survey of the attendee`s opinions, and a tour of the High Temperature Materials Laboratory at ORNL. The total number of registrants was sixty-seven, including thirty-three from industry or private sector organizations, seven from universities, three from industry groups, fourteen from DOE laboratories (including ORNL, Y-12, and Lawrence Livermore Laboratory), three from trade associations, and three from other government organizations. Forty- one survey forms, which critiqued the proposed project plan, were completed by attendees, and the results are presented in this report. Valves, cam roller followers, water pump seals, and diesel engine head plates were rated highest fro application of ceramic machining concepts to reduce cost. Coarse grinding, abrasives and wheel technology, and fine grinding were most highly rated as regards their impact on cost reduction. Specific cost-reduction targets for given parts varied greatly in the survey results and were not felt to be useful for the purposes for the CECM plan development. A range of individual comments were obtained and are listed in an appendix. As a result of the workshop and subsequent discussions, a modified project plan, different in certain aspects from the original CECM plan, has been developed.

  17. Report on the planning workshop on cost-effective ceramic machining

    Energy Technology Data Exchange (ETDEWEB)

    Blau, P.J.

    1991-11-01

    A workshop on Cost Effective Ceramic Machining'' (CECM) was held at Oak Ridge Associated Universities Pollard Auditorium, Oak Ridge, Tennessee, May 1991. The purpose of this workshop was to present a preliminary project plan for industry critique and to identify specific components and cost-reduction targets for a new project on Cost Effective Ceramic Machining. The CECM project is an extension of the work on the Ceramic Technology for Advanced Heat Engines (CTAHE) Program sponsored by the Department of Energy, Office of Transportation Materials. The workshop consisted of fifteen invited papers, discussions, a survey of the attendee's opinions, and a tour of the High Temperature Materials Laboratory at ORNL. The total number of registrants was sixty-seven, including thirty-three from industry or private sector organizations, seven from universities, three from industry groups, fourteen from DOE laboratories (including ORNL, Y-12, and Lawrence Livermore Laboratory), three from trade associations, and three from other government organizations. Forty- one survey forms, which critiqued the proposed project plan, were completed by attendees, and the results are presented in this report. Valves, cam roller followers, water pump seals, and diesel engine head plates were rated highest fro application of ceramic machining concepts to reduce cost. Coarse grinding, abrasives and wheel technology, and fine grinding were most highly rated as regards their impact on cost reduction. Specific cost-reduction targets for given parts varied greatly in the survey results and were not felt to be useful for the purposes for the CECM plan development. A range of individual comments were obtained and are listed in an appendix. As a result of the workshop and subsequent discussions, a modified project plan, different in certain aspects from the original CECM plan, has been developed.

  18. Process-scheme-driven automatic construction of NC machining cell for aircraft structural parts

    Institute of Scientific and Technical Information of China (English)

    Chen Shulin; Zheng Guolei; Zhou Min; Du Baorui; Chu Hongzhen

    2013-01-01

    In order to enhance the NC programming efficiency and quality of aircraft structural parts (ASPs), an intelligent NC programming pattern driven by process schemes is presented. In this pattern, the NC machining cell is the minimal organizational structure in the technological process, consisting of an operation machining volume cell, and the type and parameters of the machining operation. After the machining cell construction, the final NC program can be easily obtained in a CAD/CAM system by instantiating the machining operation for each machining cell. Accord-ingly, how to automatically establish the machining cells is a key issue in intelligent NC program-ming. On the basis of the NC machining craft of ASP, the paper aims to make an in-depth research on this issue. Firstly, some new terms about the residual volume and the machinable volume are defined, and then, the technological process is modeled with a process scheme. Secondly, the approach to building the machining cells is introduced, in which real-time complement machining is mainly considered to avoid interference and overcutting. Thirdly, the implementing algorithm is designed and applied to the Intelligent NC Programming System of ASP. Finally, the developed algorithm is validated through two case studies.

  19. EFFECT OF TOOL POLARITY ON THE MACHINING CHARACTERISTICS IN ELECTRIC DISCHARGE MACHINING OF SILVER STEEL AND STATISTICAL MODELLING OF THE PROCESS

    Directory of Open Access Journals (Sweden)

    DILSHAD AHMAD KHAN,

    2011-06-01

    Full Text Available Electric discharge machining (EDM is a thermoelectric process in which electrical energy is converted into thermal energy and this thermal energy is used for the machining purpose. It is the common practice in EDM to make tool negative and work piece positive (direct polarity , but researches shows that reverse of it is also possible in which tool is positive and work piece is negative ( reverse polarity, but not much work has been carried out on the reverse polarity till now. This paper discusses the effect of tool polarity on the machining characteristics in electric discharge machining of silver steel. High metal removal rate, low relative electrode wear and good surface finish are conflicting goals, which can not be achieved simultaneously with a particular combination of control settings. To achieve the best machining results, the goal has to be taken separately in different phases of work with different emphasis. A 32 factorial design has been used for planning of experimental conditions. Copper is used as tool material and Silver steel of 28 grade is selected as work piece material with positive and negative polarities. The effectiveness of EDM process with silver steel is evaluated in terms of metal removal rate (MRR, percent relative electrode wear (%REW and the surface roughness (S.R ofthe work piece produced at different current and pulse duration levels. In this experimental work spark erosion oil (trade name IPOL is taken as a dielectric and experiments have been conducted at 50% duty factor. The study reveals that direct polarity is suitable for higher metal removal rate and lower relative electrode wear but reverse polarity gives better surface finish as compared to direct polarity. Direct polarity gives 4-11 times more MRR and 5 times less relative electrode wear as compared to reverse polarity, and reverse polarity gives 1.3-2.7 times better surface finish as compared to direct polarity. Second order regression model is also

  20. SNF project engineering process improvement plan

    Energy Technology Data Exchange (ETDEWEB)

    KELMENSON, R.L.

    1999-05-24

    This Engineering Process Improvement Plan documents the activities and plans to be taken by the SNF Project (the Project) to support its engineering process and to produce a consolidated set of engineering procedures that are fully compliant with the requirements of HNF-PRO-1819 (1819). These requirements are imposed on all engineering activities performed for the Project and apply to all life-cycle stages of the Project's systems, structures and components (SSCs). This Plan describes the steps that will be taken by the Project during the transition period to ensure that new procedures are effectively integrated into the Project's work process as these procedures are issued. The consolidated procedures will be issued and implemented by September 30, 1999.

  1. Optimization of Composite Cloud Service Processing with Virtual Machines

    Energy Technology Data Exchange (ETDEWEB)

    Di, Sheng; Kondo, Derrick; Wang, Cho-Li

    2015-06-09

    By leveraging virtual machine (VM) technology, we optimize cloud system performance based on refined resource allocation, in processing user requests with composite services. Our contribution is three-fold. (1) We devise a VM resource allocation scheme with a minimized processing overhead for task execution. (2) We comprehensively investigate the best-suited task scheduling policy with different design parameters. (3) We also explore the best-suited resource sharing scheme with adjusted divisible resource fractions on running tasks in terms of Proportional-share model (PSM), which can be split into absolute mode (called AAPSM) and relative mode (RAPSM). We implement a prototype system over a cluster environment deployed with 56 real VM instances, and summarized valuable experience from our evaluation. As the system runs in short supply, lightest workload first (LWF) is mostly recommended because it can minimize the overall response extension ratio (RER) for both sequential-mode tasks and parallel-mode tasks. In a competitive situation with over-commitment of resources, the best one is combining LWF with both AAPSM and RAPSM. It outperforms other solutions in the competitive situation, by 16 + % w.r.t. the worst-case response time and by 7.4 + % w.r.t. the fairness.

  2. Shared and service-oriented CNC machining system for intelligent manufacturing process

    Science.gov (United States)

    Li, Yao; Liu, Qiang; Tong, Ronglei; Cui, Xiaohong

    2015-11-01

    To improve efficiency, reduce cost, ensure quality effectively, researchers on CNC machining have focused on virtual machine tool, cloud manufacturing, wireless manufacturing. However, low level of information shared among different systems is a common disadvantage. In this paper, a machining database with data evaluation module is set up to ensure integrity and update. An online monitoring system based on internet of things and multi-sensors "feel" a variety of signal features to "percept" the state in CNC machining process. A high efficiency and green machining parameters optimization system "execute" service-oriented manufacturing, intelligent manufacturing and green manufacturing. The intelligent CNC machining system is applied in production. CNC machining database effectively shares and manages process data among different systems. The prediction accuracy of online monitoring system is up to 98.8% by acquiring acceleration and noise in real time. High efficiency and green machining parameters optimization system optimizes the original processing parameters, and the calculation indicates that optimized processing parameters not only improve production efficiency, but also reduce carbon emissions. The application proves that the shared and service-oriented CNC machining system is reliable and effective. This research presents a shared and service-oriented CNC machining system for intelligent manufacturing process.

  3. Shared and Service-oriented CNC Machining System for Intelligent Manufacturing Process

    Institute of Scientific and Technical Information of China (English)

    LI Yao; LIU Qiang; TONG Ronglei; CUI Xiaohong

    2015-01-01

    To improve efficiency, reduce cost, ensure quality effectively, researchers on CNC machining have focused on virtual machine tool, cloud manufacturing, wireless manufacturing. However, low level of information shared among different systems is a common disadvantage. In this paper, a machining database with data evaluation module is set up to ensure integrity and update. An online monitoring system based on internet of things and multi-sensors “feel” a variety of signal features to “percept” the state in CNC machining process. A high efficiency and green machining parameters optimization system “execute” service-oriented manufacturing, intelligent manufacturing and green manufacturing. The intelligent CNC machining system is applied in production. CNC machining database effectively shares and manages process data among different systems. The prediction accuracy of online monitoring system is up to 98.8% by acquiring acceleration and noise in real time. High efficiency and green machining parameters optimization system optimizes the original processing parameters, and the calculation indicates that optimized processing parameters not only improve production efficiency, but also reduce carbon emissions. The application proves that the shared and service-oriented CNC machining system is reliable and effective. This research presents a shared and service-oriented CNC machining system for intelligent manufacturing process.

  4. Succession planning: valuable process or pointless exercise?

    Science.gov (United States)

    McConnell, Charles R

    2006-01-01

    Succession planning is the process of identifying people who could presently move into key positions or could do so after specifically targeted development occurs. The process identifies the better people in the organization and takes a consistent approach to assembling, analyzing, and retaining information about potential leaders and planning for their further development. At its simplest level, it is the development of a backup and potential successor to each manager; at its most formal, it is a documented plan for management succession at all levels in the organization. Strongly supportive of a policy of development and promotion from within the organization, succession planning also represents a proactive posture in respect to inevitable management turnover. In these days of rapid change in health care, no modern organization that expects to keep up with increasing competition can afford to drift-or even let a single department drift-although replacements are recruited for managers who resign, retire, or otherwise leave. On numerous occasions, however, all of the effort expended in succession planning seems wasted when potential successors either leave the organization or fail to live up to expectations, prompting one to wonder whether succession planning is little more than a pointless exercise.

  5. Path planning of multi head drilling machine and simulation software development%多头钻床轨迹规划和仿真软件的开发

    Institute of Scientific and Technical Information of China (English)

    梁全

    2011-01-01

    针对多主轴头的数控钻床钻孔路径规划问题进行了分析,在充分考虑机床的机械结构和加工效率要求的前提下,提出了多头数控钻床的钻孔路径规划算法.首先分析了DXF文件的结构,接下来将二维空间中的孔群分解成一维空间中的孔群进行钻孔路径的规划.为了验证算法和真实加工的可行性,还开发了仿真软件,针对某工程中的某管板类零件规划了钻孔路径,并进行了仿真加工.仿真加工结果证明,开发的算法正确可靠,可以用来进行多头钻的钻孔路径规划.%This paper analyzed the problem of drilling path planning about CNC drill machine. Under the premise of taking account of the mechanical structure and processing machine efficiency requirements, promoting path planning algorithm about multi spindles CNC drilling machine. First, this paper analyzed the structure of DXF file, then dividing the two dimensional space hole-group into one dimensional hole-group to plan. In order to verify the feasibility of processing algorithms and real application, this paper also developed simulation software, planned drilling path for a tube plate in actual application and made simulation machining. Simulation results show that the algorithm is accurate and can be used in drilling path planning in multi spindle CNC drilling machine.

  6. The Strategic Sport Marketing Planning Process

    Directory of Open Access Journals (Sweden)

    Alexandru Lucian Mihai

    2013-05-01

    Full Text Available In many segments of the sport industry, sport marketers are pressured to increase their product sales to generate increased revenues for their organizations. This pressure poses a challenge. Because sport marketers are involved in persuading consumers to buy, they run the risk of exaggerating or misrepresenting their products in an effort to sell them. Today, and in the future, sport marketers should recognize this risk and monitor their marketing strategies to ensure that they communicate honest images and messages about their products that are consistent with the core values of their organizations. A marketing program is not delivered in isolation of the organization-wide planning process. In normal circumstances, the marketing planning process must reflect the overall plans for the organization.

  7. Tensor Decomposition for Signal Processing and Machine Learning

    Science.gov (United States)

    Sidiropoulos, Nicholas D.; De Lathauwer, Lieven; Fu, Xiao; Huang, Kejun; Papalexakis, Evangelos E.; Faloutsos, Christos

    2017-07-01

    Tensors or {\\em multi-way arrays} are functions of three or more indices $(i,j,k,\\cdots)$ -- similar to matrices (two-way arrays), which are functions of two indices $(r,c)$ for (row,column). Tensors have a rich history, stretching over almost a century, and touching upon numerous disciplines; but they have only recently become ubiquitous in signal and data analytics at the confluence of signal processing, statistics, data mining and machine learning. This overview article aims to provide a good starting point for researchers and practitioners interested in learning about and working with tensors. As such, it focuses on fundamentals and motivation (using various application examples), aiming to strike an appropriate balance of breadth {\\em and depth} that will enable someone having taken first graduate courses in matrix algebra and probability to get started doing research and/or developing tensor algorithms and software. Some background in applied optimization is useful but not strictly required. The material covered includes tensor rank and rank decomposition; basic tensor factorization models and their relationships and properties (including fairly good coverage of identifiability); broad coverage of algorithms ranging from alternating optimization to stochastic gradient; statistical performance analysis; and applications ranging from source separation to collaborative filtering, mixture and topic modeling, classification, and multilinear subspace learning.

  8. Automated vehicle counting using image processing and machine learning

    Science.gov (United States)

    Meany, Sean; Eskew, Edward; Martinez-Castro, Rosana; Jang, Shinae

    2017-04-01

    Vehicle counting is used by the government to improve roadways and the flow of traffic, and by private businesses for purposes such as determining the value of locating a new store in an area. A vehicle count can be performed manually or automatically. Manual counting requires an individual to be on-site and tally the traffic electronically or by hand. However, this can lead to miscounts due to factors such as human error A common form of automatic counting involves pneumatic tubes, but pneumatic tubes disrupt traffic during installation and removal, and can be damaged by passing vehicles. Vehicle counting can also be performed via the use of a camera at the count site recording video of the traffic, with counting being performed manually post-recording or using automatic algorithms. This paper presents a low-cost procedure to perform automatic vehicle counting using remote video cameras with an automatic counting algorithm. The procedure would utilize a Raspberry Pi micro-computer to detect when a car is in a lane, and generate an accurate count of vehicle movements. The method utilized in this paper would use background subtraction to process the images and a machine learning algorithm to provide the count. This method avoids fatigue issues that are encountered in manual video counting and prevents the disruption of roadways that occurs when installing pneumatic tubes

  9. 300 Area Process Trenches Closure Plan

    Energy Technology Data Exchange (ETDEWEB)

    Luke, S.N.

    1994-08-15

    Since 1987, Westinghouse Hanford Company has been a major contractor to the US Department of Energy, Richland Operations Office and has served as co-operator of the 300 Area Process Trenches, the waste management unit addressed in this closure plan. For the purposes of the Resource Conservation and Recovery Act, Westinghouse Hanford Company is identified as ``co-operator.`` The 300 Area Process Trenches Closure Plan (Revision 0) consists of a Resource Conservation and Recovery Act Part A Dangerous Waste Permit Application, Form 3 and a Resource Conservation and Recovery Act Closure Plan. An explanation of the Part A Permit Application, Form 3 submitted with this document is provided at the beginning of the Part A Section. The closure plan consists of nine chapters and six appendices. The 300 Area Process Trenches received dangerous waste discharges from research and development laboratories in the 300 Area and from fuels fabrication processes. This waste consisted of state-only toxic (WT02), corrosive (D002), chromium (D007), spent halogenated solvents (F001, F002, and F003), and spent nonhalogented solvent (F005). Accurate records are unavailable concerning the amount of dangerous waste discharged to the trenches. The estimated annual quantity of waste (item IV.B) reflects the total quantity of both regulated and nonregulated waste water that was discharged to the unit.

  10. CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach

    Directory of Open Access Journals (Sweden)

    Jihong Chen

    2015-06-01

    Full Text Available Building cyber-physical system (CPS models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control (CNC system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control (NC processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.

  11. Integrated Processing in Planning and Understanding.

    Science.gov (United States)

    1986-12-01

    remember. The theory of opportunistic planning and Freudian slips, reported in chapter nine, was developed jointly with Gregg, and has appeared previously... theory . Thus, the process model of Freudian slips presented in chapter nine, although by no means complete, contrasts sharply with the "slipper...34 theory concocted above: The explanation of Freudian slips given there derives from processes that are functionally justified by the need to perform real

  12. Using Multiple FPGA Architectures for Real-time Processing of Low-level Machine Vision Functions

    Science.gov (United States)

    Thomas H. Drayer; William E. King; Philip A. Araman; Joseph G. Tront; Richard W. Conners

    1995-01-01

    In this paper, we investigate the use of multiple Field Programmable Gate Array (FPGA) architectures for real-time machine vision processing. The use of FPGAs for low-level processing represents an excellent tradeoff between software and special purpose hardware implementations. A library of modules that implement common low-level machine vision operations is presented...

  13. Process design for NC machining%数控加工的工艺设计

    Institute of Scientific and Technical Information of China (English)

    杨毅

    2001-01-01

    The steps of process design, details and main points of NC machining are introduced. The method of NC machining process design is presented.%重点介绍了数控加工工艺设计的步骤、内容和要点,提供了数控加工工艺设计的方法。

  14. Scheduling Jobs with Variable Job Processing Times on Unrelated Parallel Machines

    Directory of Open Access Journals (Sweden)

    Guang-Qian Zhang

    2014-01-01

    Full Text Available m unrelated parallel machines scheduling problems with variable job processing times are considered, where the processing time of a job is a function of its position in a sequence, its starting time, and its resource allocation. The objective is to determine the optimal resource allocation and the optimal schedule to minimize a total cost function that dependents on the total completion (waiting time, the total machine load, the total absolute differences in completion (waiting times on all machines, and total resource cost. If the number of machines is a given constant number, we propose a polynomial time algorithm to solve the problem.

  15. Multi-agent System for Process Planning in Step-nc Based Manufacturing

    Directory of Open Access Journals (Sweden)

    Juan Du

    2012-09-01

    Full Text Available In order to realize STEP-NC-oriented computer numerical control machining and achieve optimal performance in manufacturing, a multi-agent system for process planning in STEP-NC based manufacturing was designed. By analyzing the characteristic of STEP-NC data model, a manufacturing feature-oriented process planning method was proposed in this study and the distributed artificial intelligence methods, namely collaborative multi-agent was employed to accomplish process planning of part. The proposed multi-agent system consists of three types of autonomous agents, which are global manager agents, planning agents and manufacturing resource agents, respectively. Process planning can be automatically completed by multiple agents’ cooperation. Each agent is capable of communicating to each other through improved Knowledge Query and Manipulation Language (KQML. At last, one test part was designed and simulated to demonstrate the capabilities of this research in the study.

  16. 23 CFR 450.208 - Coordination of planning process activities.

    Science.gov (United States)

    2010-04-01

    ... 23 Highways 1 2010-04-01 2010-04-01 false Coordination of planning process activities. 450.208... Coordination of planning process activities. (a) In carrying out the statewide transportation planning process... planning process shall (to the maximum extent practicable) be consistent with the development of applicable...

  17. 15 CFR 923.13 - Energy facility planning process.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Energy facility planning process. 923... facility planning process. The management program must contain a planning process for energy facilities... affected public and private parties will be involved in the planning process. ...

  18. Remote Configuration Monitoring of Autonomous Information Processing Machine on LAN.

    Directory of Open Access Journals (Sweden)

    Hema Thomas

    2014-04-01

    Full Text Available Remote Information Configuration is advanced software for capturing automatically the configuration of Computers available in the LAN. The software will collect all the configuration of computers in the network and store the information in the Data Base. The configuration such as the Processor, Memory such as RAM and Hard Disk, System Software and Application software installed will be captured from remote and stored in the Data Base with the timestamp. Any change in the configuration will be captured on time to time basis and updated; this will bring in a change management control of the components. Provision for manual recording of owner of the computer asset and location details will be provided for Asset Management. This module will also include the process of allotment of asset, removal of asset, re-allotment of asset, new asset request management, asset procurement planning.

  19. Optimization of Process Parameters in Wire Electrical Discharge Machining of MMC: A Review

    Directory of Open Access Journals (Sweden)

    J.M.Pujara

    2015-07-01

    Full Text Available Wire electrical discharge machining (WEDM is a specialized thermal machining process capable of accurately machining parts with varying hardness or complex shapes, which have sharp edges that are very difficult to be machined by the main stream machining processes. This practical technology of the WEDM process is based on the conventional EDM sparking phenomenon utilizing the widely accepted non-contact technique of material removal. Since the introduction of the process, WEDM has evolved from a simple means of making tools and dies to the best alternative of producing micro-scale parts with the highest degree of dimensional accuracy and surface finish quality. Metal matrix composites are advanced materials having high specific strength, good wear resistance, and high thermal expansion coefficient. To achieve this task, machining parameters such as pulse on time, pulse off time, peak current, servo voltage, wire feed, wire tension etc. of this process should be selected such that optimal value of their performance measures like Material Removal Rate (MRR, Surface Roughness (SR, Gap current, Dimensional deviation, etc. can be obtained or improved. In past decades, intensive research work had been carried out by different researchers for improvement and optimization of WEDM performance measures using various optimization techniques like Taguchi, Response Surface Methodology (RSM, Artificial Neural Network (ANN, Genetic Algorithm (GA, etc. This paper also highlights the feasibility of the different control strategies of obtaining the optimal machining conditions. This literature review helps to identify the suitable process parameters and their ranges in machining of metal matrix composites.

  20. Fault detection and isolation in processes involving induction machines

    Energy Technology Data Exchange (ETDEWEB)

    Zell, K.; Medvedev, A. [Control Engineering Group, Luleaa University of Technology, Luleaa (Sweden)

    1997-12-31

    A model-based technique for fault detection and isolation in electro-mechanical systems comprising induction machines is introduced. Two coupled state observers, one for the induction machine and another for the mechanical load, are used to detect and recognize fault-specific behaviors (fault signatures) from the real-time measurements of the rotor angular velocity and terminal voltages and currents. Practical applicability of the method is verified in full-scale experiments with a conveyor belt drive at SSAB, Luleaa Works. (orig.) 3 refs.

  1. Machining of bone: Analysis of cutting force and surface roughness by turning process.

    Science.gov (United States)

    Noordin, M Y; Jiawkok, N; Ndaruhadi, P Y M W; Kurniawan, D

    2015-11-01

    There are millions of orthopedic surgeries and dental implantation procedures performed every year globally. Most of them involve machining of bones and cartilage. However, theoretical and analytical study on bone machining is lagging behind its practice and implementation. This study views bone machining as a machining process with bovine bone as the workpiece material. Turning process which makes the basis of the actually used drilling process was experimented. The focus is on evaluating the effects of three machining parameters, that is, cutting speed, feed, and depth of cut, to machining responses, that is, cutting forces and surface roughness resulted by the turning process. Response surface methodology was used to quantify the relation between the machining parameters and the machining responses. The turning process was done at various cutting speeds (29-156 m/min), depths of cut (0.03 -0.37 mm), and feeds (0.023-0.11 mm/rev). Empirical models of the resulted cutting force and surface roughness as the functions of cutting speed, depth of cut, and feed were developed. Observation using the developed empirical models found that within the range of machining parameters evaluated, the most influential machining parameter to the cutting force is depth of cut, followed by feed and cutting speed. The lowest cutting force was obtained at the lowest cutting speed, lowest depth of cut, and highest feed setting. For surface roughness, feed is the most significant machining condition, followed by cutting speed, and with depth of cut showed no effect. The finest surface finish was obtained at the lowest cutting speed and feed setting.

  2. 40 CFR 130.5 - Continuing planning process.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 21 2010-07-01 2010-07-01 false Continuing planning process. 130.5... QUALITY PLANNING AND MANAGEMENT § 130.5 Continuing planning process. (a) General. Each State shall establish and maintain a continuing planning process (CPP) as described under section 303(e)(3)(A)-(H) of...

  3. Tool-path planning for free-form surface high-speed high-resolution machining using torus cutter

    Institute of Scientific and Technical Information of China (English)

    WANG Yu-han; LI Ru-qiong; WU Zu-yu; CHEN Zhao-neng

    2006-01-01

    In CNC machining, two essential components decide the accuracy and machining time for a sculptured surface: one is the step-size interval, the other is the tool-path interval. Due to the limitation of the conventional method for calculating the tool-path interval, it cannot satisfy the machining requirement for highspeed and high-resolution machining. Accordingly, for high-speed and high-resolution machining, the current study proposes a new tool-path interval algorithm, plus a variable step-size algorithm for NURBS. Furthermore,a new type cutter, which can improve the cutting efficiency, is investigated in the paper. The transversal equation of the torus cutter onto the flat plan is given in this paper. The tool-path interval is calculated with the transversal equation and the proposed algorithm. The illustrated example shows that the redundant tool paths can be reduced because an accurate tool-path interval could be calculated.

  4. The Cutting Process, Chips and Cutting Forces in Machining CFRP

    DEFF Research Database (Denmark)

    Koplev, A.; Lystrup, Aage; Vorm, T.

    1983-01-01

    The cutting of unidirectional CFRP, perpendicular as well as parallel to the fibre orientation, is examined. Shaping experiments, ‘quick-stop’ experiments, and a new chip preparation technique are used for the investigation. The formation of the chips, and the quality of the machined surface...

  5. Development of Mathematical Model for Lifecycle Management Process of New Type of Multirip Saw Machine

    Directory of Open Access Journals (Sweden)

    B. V. Phung

    2017-01-01

    variables. Based on the obtained unified information model, a multi-criterion problem has been formulated for the process of automated synthesis and rational choice to design and manufacture the multirip saw machine of new generation.

  6. Autonomous Agents for Dynamic Process Planning in the Flexible Manufacturing System

    Science.gov (United States)

    Nik Nejad, Hossein Tehrani; Sugimura, Nobuhiro; Iwamura, Koji; Tanimizu, Yoshitaka

    Rapid changes of market demands and pressures of competition require manufacturers to maintain highly flexible manufacturing systems to cope with a complex manufacturing environment. This paper deals with development of an agent-based architecture of dynamic systems for incremental process planning in the manufacturing systems. In consideration of alternative manufacturing processes and machine tools, the process plans and the schedules of the manufacturing resources are generated incrementally and dynamically. A negotiation protocol is discussed, in this paper, to generate suitable process plans for the target products real-timely and dynamically, based on the alternative manufacturing processes. The alternative manufacturing processes are presented by the process plan networks discussed in the previous paper, and the suitable process plans are searched and generated to cope with both the dynamic changes of the product specifications and the disturbances of the manufacturing resources. We initiatively combine the heuristic search algorithms of the process plan networks with the negotiation protocols, in order to generate suitable process plans in the dynamic manufacturing environment.

  7. Intelligent sensor networks the integration of sensor networks, signal processing and machine learning

    CERN Document Server

    Hu, Fei

    2012-01-01

    Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl

  8. Design of Experimentation, Artificial Neural Network Simulation and Optimization for Integrated Bamboo Processing Machine

    OpenAIRE

    P. G. Mehar; Dr.A.V.Vanalkar

    2015-01-01

    In this research work experimentation on integrated bamboo processing machine for splitting and slicing of bamboo has been carried out. This paper presents the experimental investigation of some parameters of integrated bamboo processing machine. In this research paper simulation of experimental data using artificial neural network is carried out. An attempt of minimum-maximum principle has been made to optimize by range bound process for maximizing production rate of integrated b...

  9. Evidence development and publication planning: strategic process.

    Science.gov (United States)

    Wittek, Michael R; Jo Williams, Mary; Carlson, Angeline M

    2009-11-01

    A number of decisions in the health care field rely heavily on published clinical evidence. A systematic approach to evidence development and publication planning is required to develop a portfolio of evidence that includes at minimum information on efficacy, safety, durability of effect, quality of life, and economic outcomes. The approach requires a critical assessment of available literature, identification of gaps in the literature, and a strategic plan to fill the gaps to ensure the availability of evidence demanded for clinical decisions, coverage/payment decisions and health technology assessments. The purpose of this manuscript is to offer a six-step strategic process leading to a portfolio of evidence that meets the informational needs of providers, payers, and governmental agencies concerning patient access to a therapy.

  10. Study on the nano machining process with a vibrating AFM tip on the polymer surface

    Energy Technology Data Exchange (ETDEWEB)

    Liu Weitao [State Key Laboratory of Robotics and Systems, Robotics Institute, Harbin Institute of Technology, Harbin 150080 (China); Center for Precision Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001 (China); Yan Yongda, E-mail: yanyongda@yahoo.com.cn [State Key Laboratory of Robotics and Systems, Robotics Institute, Harbin Institute of Technology, Harbin 150080 (China); Center for Precision Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001 (China); Hu Zhenjiang; Zhao Xuesen; Yan Jiucun; Dong Shen [Center for Precision Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001 (China)

    2012-01-15

    The polymer has been proved to be nano machined by a vibrating tip in tapping mode of Atomic Force Microscope (AFM). The force between the tip and the surface is an important factor which determines success of the machining process. Controlling this force with high accuracy is the foundation of nanomachining in AFM tapping mode. To achieve a deeper understanding on this process, the tip is modeled as a driving oscillator with damping. Factors affecting the nano machining process are studied. The Hertz elastic contact theory is used to calculate the maximum contact pressure applied by the tip which is employed as a criterion to judge the deformation state of the sample. The simulation results show that: The driven amplitude can be used as a main parameter of controlling the machined depth. Sharper tips and harder cantilevers should be used for successful nanomachining with the vibrating tip. Under the same conditions, a larger tip radius will not only result in the machining error, but also lead to failure of the nanomachining process. The higher driving frequency will lead to a larger tapping force. However it cannot be used as a parameter to control the machined depth because of its narrow variation range. But it is a main error source for the nanomachining process in AFM tapping mode. Moreover, a larger Young's modulus polymer sample will induce a smaller machined depth, a larger maximum contact pressure and a bigger tapping force.

  11. Machinability of lithium disilicate glass ceramic in in vitro dental diamond bur adjusting process.

    Science.gov (United States)

    Song, Xiao-Fei; Ren, Hai-Tao; Yin, Ling

    2016-01-01

    Esthetic high-strength lithium disilicate glass ceramics (LDGC) are used for monolithic crowns and bridges produced in dental CAD/CAM and oral adjusting processes, which machinability affects the restorative quality. A machinability study has been made in the simulated oral clinical machining of LDGC with a dental handpiece and diamond burs, regarding the diamond tool wear and chip control, machining forces and energy, surface finish and integrity. Machining forces, speeds and energy in in vitro dental adjusting of LDGC were measured by a high-speed data acquisition and force sensor system. Machined LDGC surfaces were assessed using three-dimensional non-contact chromatic confocal optical profilometry and scanning electron microscopy (SEM). Diamond bur morphology and LDGC chip shapes were also examined using SEM. Minimum tool wear but significant LDGC chip accumulations were found. Machining forces and energy significantly depended on machining conditions (pMachining speeds dropped more rapidly with increased removal rates than other glass ceramics (pmachinability indices associated with the hardness, Young's modulus and fracture toughness were derived based on the normal force-removal rate relations, which ranked LDGC the most difficult to machine among glass ceramics. Surface roughness for machined LDGC was comparable for other glass ceramics. The removal mechanisms of LDGC were dominated by penetration-induced brittle fracture and shear-induced plastic deformation. Unlike most other glass ceramics, distinct intergranular and transgranular fractures of lithium disilicate crystals were found in LDGC. This research provides the fundamental data for dental clinicians on the machinability of LDGC in intraoral adjustments.

  12. Direct selective laser sintering of high performance metals: Machine design, process development and process control

    Science.gov (United States)

    Das, Suman

    1998-11-01

    This dissertation describes the development of an advanced manufacturing technology known as Direct Selective Laser Sintering (Direct SLS). Direct SLS is a laser based rapid manufacturing technology that enables production of functional, fully dense, metal and cermet components via the direct, layerwise consolidation of constituent powders. Specifically, this dissertation focuses on a new, hybrid net shape manufacturing technique known as Selective Laser Sintering/Hot Isostatic Pressing (SLS/HIP). The objective of research presented in this dissertation was to establish the fundamental machine technology and processing science to enable direct SLS fabrication of metal components composed of high performance, high temperature metals and alloys. Several processing requirements differentiate direct SLS of metals from SLS of polymers or polymer coated powders. Perhaps the most important distinguishing characteristic is the regime of high temperatures involved in direct SLS of metals. Biasing the temperature of the feedstock powder via radiant preheat prior to and during SLS processing was shown to be beneficial. Preheating the powder significantly influenced the flow and wetting characteristics of the melt. During this work, it was conclusively established that powder cleanliness is of paramount importance for successful layerwise consolidation of metal powders by direct SLS. Sequential trials were conducted to establish optimal bake-out and degas cycles under high vacuum. These cycles agreed well with established practices in the powder metallurgy industry. A study of some of the important transport mechanisms in direct SLS of metals was undertaken to obtain a fundamental understanding of the underlying process physics. This study not only provides an explanation of phenomena observed during SLS processing of a variety of metallic materials but also helps in developing selection schemes for those materials that are most amenable to direct SLS processing. The

  13. Machining Error Control by Integrating Multivariate Statistical Process Control and Stream of Variations Methodology

    Institute of Scientific and Technical Information of China (English)

    WANG Pei; ZHANG Dinghua; LI Shan; CHEN Bing

    2012-01-01

    For aircraft manufacturing industries,the analyses and prediction of part machining error during machining process are very important to control and improve part machining quality.In order to effectively control machining error,the method of integrating multivariate statistical process control (MSPC) and stream of variations (SoV) is proposed.Firstly,machining error is modeled by multi-operation approaches for part machining process.SoV is adopted to establish the mathematic model of the relationship between the error of upstream operations and the error of downstream operations.Here error sources not only include the influence of upstream operations but also include many of other error sources.The standard model and the predicted model about SoV are built respectively by whether the operation is done or not to satisfy different requests during part machining process.Secondly,the method of one-step ahead forecast error (OSFE) is used to eliminate autocorrelativity of the sample data from the SoV model,and the T2 control chart in MSPC is built to realize machining error detection according to the data characteristics of the above error model,which can judge whether the operation is out of control or not.If it is,then feedback is sent to the operations.The error model is modified by adjusting the operation out of control,and continually it is used to monitor operations.Finally,a machining instance containing two operations demonstrates the effectiveness of the machining error control method presented in this paper.

  14. Strategic Planning for a Communication Department: Process and Promise.

    Science.gov (United States)

    Konsky, Catherine

    1999-01-01

    Discusses advantages of creating a strategic plan, steps for the strategic-planning process, and application of the strategic-planning process. Suggests that communication departments should develop a strategic plan and use it as a guide in collectively pursuing initiatives related to teaching, research, and service as well as in advocating for…

  15. Strategic Planning as a Perceptual Process,

    Science.gov (United States)

    1981-03-01

    Like any complex human endeavor, the sort of broad scope or long range organizational planning often referred to as strategic planning can be viewed...might be of use to planners and managers concerned with broad scope strategic planning .

  16. A Genetic Algorithm for Single Machine Scheduling with Fuzzy Processing Time and Multiple Objectives

    Institute of Scientific and Technical Information of China (English)

    吴超超; 顾幸生

    2004-01-01

    In this paper, by considering the fuzzy nature of the data in real-life problems, single machine scheduling problems with fuzzy processing time and multiple objectives are formulated and an efficient genetic algorithm which is suitable for solving these problems is proposed. As illustrative numerical examples, twenty jobs processing on a machine is considered. The feasibility and effectiveness of the proposed method have been demonstrated in the simulation.

  17. Processing outcomes of the AFM probe-based machining approach with different feed directions

    OpenAIRE

    2016-01-01

    We present experimental and theoretical results to describe and explain processing outcomes when producing nanochannels that are a few times wider than the atomic force microscope (AFM) probe using an AFM. This is achieved when AFM tip-based machining is performed with reciprocating motion of the tip of the AFM probe. In this case, different feed directions with respect to the orientation of the AFM probe can be used. The machining outputs of interest are the chip formation process, obtained ...

  18. Concentrated flow erosion processes under planned fire

    Science.gov (United States)

    Langhans, Christoph; Noske, Phil; Van Der Sant, Rene; Lane, Patrick; Sheridan, Gary

    2016-04-01

    The role of wildfire in accelerating erosion rates for a certain period after fire has been well documented. Much less information is available on the erosion rates and processes after planned fires that typically burn at much lower intensity. Observational evidence, and some studies in southern and southeastern Australia suggest that erosion after planned fire can be significant if rainfall intensities exceed critical intensities and durations. Understanding erosion processes and rates under these event conditions is of critical importance for planning of burn locations away from critical human assets such as water supplies and infrastructure. We conducted concentrated flow experiments with the purpose to understand what critical conditions are required for significant erosion to occur on planned burn hillslopes. Concentrated flow runon was applied on pre-wetted, unbounded plots of 10 m at rates of 0.5, 1, 1.5 and 2 L/s, with three replicates for each rates applied at 1m distance of each other. The experiments were carried out at three sites within one burn perimeter with different burn severities ranging from low to high, with two replicates at each site. Runon was applied until an apparent steady state in runoff was reached at the lower plot boundary, which was typically between 0.7 and 2.5 minutes. The experiments were filmed and erosion depth was measured by survey methods at 1m intervals. Soil surface properties, including potential sediment trapping objects were measured and surveyed near the plots. We found that fire severity increased plot scale average erosion depth significantly even as experiments were typically much shorter on the high severity plots. Unit stream power was a good predictor for average erosion depth. Uncontrolled for variations in soil surface properties explained process behaviour: finer, ash rich surface material was much less likely to be trapped by fallen, charred branches and litter than coarser, ash-depleted material. Furthermore

  19. Simulation Process Analysis of Rubber Shock Absorber for Machine Tool

    Directory of Open Access Journals (Sweden)

    Chai Rong Xia

    2016-01-01

    Full Text Available The simulation on rubber shock absorber of machine tool was studied. The simple material model of rubber was obtained by through the finite element analysis software ABAQUS. The compression speed and the hardness of rubber material were considered to obtain the deformation law of rubber shock absorber. The location of fatigue were confirmed from the simulation results. The results shown that the fatigue position is distributed in the corner of shock absorber. The degree of deformation is increased with increasing of compress speed, and the hardness of rubber material is proportional to deformation.

  20. Dynamic Bayesian Network Based Prognosis in Machining Processes

    Institute of Scientific and Technical Information of China (English)

    DONG Ming; YANG Zhi-bo

    2008-01-01

    Condition based maintenance (CBM) is becoming more and more popular in equipment main-tenance. A prerequisite to widespread deployment of CBM technology and practice in industry is effectivediagnostics and prognostics. A dynamic Bayesian network (DBN) based prognosis method was investigated topredict the remaining useful life (RUL) for an equipment. First, a DBN based prognosis framework and specificsteps for building a DBN based prognosis model were presented. Then, the corresponding inference algorithmsfor DBN based prognosis were provided. Finally, a prognosis procedure based on particle filtering algorithmswas used to predict the RUL of drill-bits of a vertical drilling machine, which is commonly used in industrialprocess. Preliminary experimental results are promising.

  1. Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment.

    Science.gov (United States)

    Pai, Yun Suen; Yap, Hwa Jen; Md Dawal, Siti Zawiah; Ramesh, S; Phoon, Sin Ye

    2016-06-07

    This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.

  2. Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment

    Science.gov (United States)

    Pai, Yun Suen; Yap, Hwa Jen; Md Dawal, Siti Zawiah; Ramesh, S.; Phoon, Sin Ye

    2016-06-01

    This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.

  3. A process planning system for cold extrusion

    Directory of Open Access Journals (Sweden)

    SANTOSH KUMAR,

    2010-12-01

    Full Text Available A Process Planning system ProEx-Cold is developed for extrusion shapes to eliminate the tedious and expensive procedure of trial and correction of a proper die and the process. The system has three modules as: feature recognition, upper bound analysis and 3D graphics generation & display using OpenGL application engine. The input parameters to the proposed CAPP system includes: die type, billet TYPE & material, geometrical details of the product, ram speed,reduction, friction condition and billet condition etc. to influence parameters like production rate, extrusion ram pressure etc. C-programming, OpenGL graphics and Visual C++ editor has been used to implement ProEx-Cold.

  4. Integrating Process Planning and Scheduling with an Intelligent Facilitator

    Institute of Scientific and Technical Information of China (English)

    WANG; Jiao; ZHANG; Y; F; NEE; A; Y; C

    2002-01-01

    This paper introduces a dynamic facilitating mechan is m for the integration of process planning and scheduling in a batch-manufacturi ng environment. This integration is essential for the optimum use of production resources and generation of realistic process plans that can be readily executed with little or no modification. In this paper, integration is modeled in two le vels, viz., process planning and scheduling, which are linked by an intelligent facilitator. The process planning module employs an o...

  5. Development of new metal matrix composite electrodes for electrical discharge machining through powder metallurgy process

    Directory of Open Access Journals (Sweden)

    C. Mathalai Sundaram

    2014-12-01

    Full Text Available Electrical discharge machining (EDM is one of the widely used nontraditional machining methods to produce die cavities by the erosive effect of electrical discharges. This method is popular due to the fact that a relatively soft electrically conductive tool electrode can machine hard work piece. Copper electrode is normally used for machining process. Electrode wear rate is the major drawback for EDM researchers. This research focus on fabrication of metal matrix composite (MMC electrode by mixing copper powder with titanium carbide (TiC and Tungsten carbide (WC powder through powder metallurgy process, Copper powder is the major amount of mixing proportion with TiC and WC. However, this paper focus on the early stage of the project where powder metallurgy route was used to determine suitable mixing time, compaction pressure and sintering and compacting process in producing EDM electrode. The newly prepared composite electrodes in different composition are tested in EDM for OHNS steel.

  6. The New Method for CNC Trajectory Machining Motion Planning Based on Reference Time

    Institute of Scientific and Technical Information of China (English)

    JIANG Yongmin; XU Mingheng

    2006-01-01

    In order to make motion planning fitting practice, many characteristic of CNC trajectory motion are discussed, such as the geometric function, the motion and the time. It is found that the relation between orbit function and motional parameter, so the differential equation about the trajectory motion be set-up by the goal of trajectory motion. The actual motion process is defined as reference time to link planning and practice. Present a new movement planning method based on self-defining time. At rest state, the differential simultaneous equation can be calculated according geometric characteristic analysis, it can be get that simple function consisted of coordinate and reference time variants. At motive state, dynamic parameter can be worked out according practical value of reference time, It is proved by experiment and simulation that it is a good way to control geometry and motion comprehensively, to reduce computation times and to increase the ability of environmental adaptation for path planning

  7. Study of the machining process of nano-electrical discharge machining based on combined atomistic-continuum modeling method

    Science.gov (United States)

    Zhang, Guojun; Guo, Jianwen; Ming, Wuyi; Huang, Yu; Shao, Xinyu; Zhang, Zhen

    2014-01-01

    Nano-electrical discharge machining (nano-EDM) is an attractive measure to manufacture parts with nanoscale precision, however, due to the incompleteness of its theories, the development of more advanced nano-EDM technology is impeded. In this paper, a computational simulation model combining the molecular dynamics simulation model and the two-temperature model for single discharge process in nano-EDM is constructed to study the machining mechanism of nano-EDM from the thermal point of view. The melting process is analyzed. Before the heated material gets melted, thermal compressive stress higher than 3 GPa is induced. After the material gets melted, the compressive stress gets relieved. The cooling and solidifying processes are also analyzed. It is found that during the cooling process of the melted material, tensile stress higher than 3 GPa arises, which leads to the disintegration of material. The formation of the white layer is attributed to the homogeneous solidification, and additionally, the resultant residual stress is analyzed.

  8. 45 CFR 400.57 - Planning and consultation process.

    Science.gov (United States)

    2010-10-01

    ... 45 Public Welfare 2 2010-10-01 2010-10-01 false Planning and consultation process. 400.57 Section... Refugee Cash Assistance § 400.57 Planning and consultation process. A State that wishes to establish a public/private RCA program must engage in a planning and consultation process with the local agencies...

  9. Utilisation of Modeling, Stress Analysis, Kinematics Optimisation, and Hypothetical Estimation of Lifetime in the Design Process of Mobile Working Machines

    Science.gov (United States)

    Izrael, Gregor; Bukoveczky, Juraj; Gulan, Ladislav

    2011-12-01

    The contribution deals with several methods used in the construction process such as model creation, verification of technical parameters of the machine, and life estimation of the selected modules. Determination of life cycle for mobile working machines, and their carrying modules respectively by investigation and subsequent processing of results gained by service measurements. Machine life claimed by a producer is only relative, because life of these machines depends not only on the way of work on that particular machine but also the state of material which is manipulated by the machine and in great extent the operator, their observance of security regulations, and prescribed working conditions.

  10. Analytical investigation of machining chatter by considering the nonlinearity of process damping

    Science.gov (United States)

    Ahmadi, Keivan

    2017-04-01

    In this paper, the well-established problem of self-excited vibrations in machining is revisited to include the nonlinearity of process damping at the tool and workpiece interface. Machining dynamics is modeled using a time-delayed system with nonlinear damping, and the method of averaging is used to obtain the amplitude of the resulting limit cycles. As a result, an analytical relationship is presented to establish the stability charts corresponding with arbitrary limit cycles in machining systems. The presented analytical solutions are verified using experiments and numerical solutions.

  11. River Basin Management Plans - Institutional framework and planning process

    DEFF Research Database (Denmark)

    Frederiksen, Pia; Nielsen, Helle Ørsted; Pedersen, Anders Branth

    2011-01-01

    The report it a deliverable to the Waterpraxis project, based on research carried out in WP3. It is based on country reports from analyses of water planning in one river basin district in each of the countries Sweden, Finland, Latvia, Lithuania, Poland, Germany and Denmark, and it compares...... the institutional set-up, the public participation and the potentials and barriers for implementing the water plans....

  12. River Basin Management Plans - Institutional framework and planning process

    DEFF Research Database (Denmark)

    Frederiksen, Pia; Nielsen, Helle Ørsted; Pedersen, Anders Branth;

    2011-01-01

    The report it a deliverable to the Waterpraxis project, based on research carried out in WP3. It is based on country reports from analyses of water planning in one river basin district in each of the countries Sweden, Finland, Latvia, Lithuania, Poland, Germany and Denmark, and it compares...... the institutional set-up, the public participation and the potentials and barriers for implementing the water plans....

  13. Considerations about the influence of lubricant in different machining mechanical processes

    Directory of Open Access Journals (Sweden)

    Nagit Gheorghe

    2017-01-01

    Full Text Available There are numerous researches that highlight the fact that wear related processes of machine components are one of the main causes which leads to their destruction. The main reasons for wear are related to the initial state of contact surfaces described by mechanical and physical properties of their superficial layer. Thus friction surface’s state depends on previous mechanical machining done on this surface especially the last one. This study presents a method which proposes and creates premises for a microgeometry favorable to maintaining the lubricant on part surfaces for as long as possible dependent on different machining processes. Comparisons are made between values specific to the wear state of the considered part obtained by various machining by measuring material mass removed during functioning in similar working conditions.

  14. A Study of effect of Process Parameters of Abrasive jet machining

    Directory of Open Access Journals (Sweden)

    Jagtar Singh

    2011-01-01

    Full Text Available As Abrasive jet machining (AJM is similar to sand blasting and effectively removes hard and brittle materials. AJM has been applied to rough working such as deburring and rough finishing. With the increase of needs for machining of ceramics, semiconductors, electronic devices and L.C.D., AJM has become a useful technique for micromachining. This paper deals with various experiments which were conducted to assess the influence of abrasive jet machining (AJM process parameters on material removal rate and diameter of holes of glass plates using aluminum oxide type of abrasive particles. The experimental results of the present work are used to discuss thevalidity of proposed model as well as the other models. With the increase in nozzle tip distance (NTD, the top surface diameter and bottom surface diameter of hole increases as it is in general observation of abrasive jet machining process. As the pressure increases, the material removal rate (MRR is also increased.

  15. Parametric optimization of ultrasonic machining process using gravitational search and fireworks algorithms

    Directory of Open Access Journals (Sweden)

    Debkalpa Goswami

    2015-03-01

    Full Text Available Ultrasonic machining (USM is a mechanical material removal process used to erode holes and cavities in hard or brittle workpieces by using shaped tools, high-frequency mechanical motion and an abrasive slurry. Unlike other non-traditional machining processes, such as laser beam and electrical discharge machining, USM process does not thermally damage the workpiece or introduce significant levels of residual stress, which is important for survival of materials in service. For having enhanced machining performance and better machined job characteristics, it is often required to determine the optimal control parameter settings of an USM process. The earlier mathematical approaches for parametric optimization of USM processes have mostly yielded near optimal or sub-optimal solutions. In this paper, two almost unexplored non-conventional optimization techniques, i.e. gravitational search algorithm (GSA and fireworks algorithm (FWA are applied for parametric optimization of USM processes. The optimization performance of these two algorithms is compared with that of other popular population-based algorithms, and the effects of their algorithm parameters on the derived optimal solutions and computational speed are also investigated. It is observed that FWA provides the best optimal results for the considered USM processes.

  16. Integrated machine-scheduling and inventory planning of door manufacturing operations at OYAK Renault factory

    OpenAIRE

    Bozkaya, Nurcan

    2012-01-01

    Ankara : The Department of Industrial Engineering and the Graduate School of Engineering and Science of Bilkent University, 2012. Thesis (Master's) -- Bilkent University, 2012. Includes bibliographical references. A car passes through press, body shell, painting and assembly stages during its manufacturing process. Due to the increased competition among car manufacturers, they aim to continuously advance and improve their processes. In this study, we analyze planning operati...

  17. Proceedings of IEEE Workshop on Machine Learning for Signal Processing XIV

    DEFF Research Database (Denmark)

    Larsen, Jan

    This proceeding contains refereed papers presented at the fourteenth IEEE Workshop on Machine for Signal Processing (MLSP’2004), held at S\\~ao Luís, Maranh\\~ao, Brazil, September 29-October 1, 2004. This is a continuation of the IEEE workshops on Neural Networks for Signal Processing (NNSP...... by the Machine Learning for Signal Processing Technical Committee with sponsorship of the IEEE Signal Processing Society. Following the practice started last year, the bound volume of the proceedings is going to be published by IEEE following the workshop, and we are pleased to offer to conference attendees...

  18. Proceedings of IEEE Workshop on Machine Learning for Signal Processing XIV

    DEFF Research Database (Denmark)

    Larsen, Jan

    This proceeding contains refereed papers presented at the fourteenth IEEE Workshop on Machine for Signal Processing (MLSP’2004), held at S\\~ao Luís, Maranh\\~ao, Brazil, September 29-October 1, 2004. This is a continuation of the IEEE workshops on Neural Networks for Signal Processing (NNSP...... by the Machine Learning for Signal Processing Technical Committee with sponsorship of the IEEE Signal Processing Society. Following the practice started last year, the bound volume of the proceedings is going to be published by IEEE following the workshop, and we are pleased to offer to conference attendees...

  19. Surface Modification Process by Electrical Discharge Machining with Ti Powder Green Compact Electrode

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper describes a new method of surface modification by Electrical Discharge Machining (EDM). By using ordinary EDM machine tool and kerosene fluid, a hard ceramic layer can be created on the workpiece surface with Ti or other compressed powder electrode in a certain condition. This new revolutionary method is called Electrical Discharge Coating (EDC). The process of EDC begins with electrode wear during EDM,then a kind of hard carbide is created through the thermal and chemical reaction between the wo...

  20. Multi criteria decision making of machining parameters for Die Sinking EDM Process

    Directory of Open Access Journals (Sweden)

    G. K. Bose

    2015-04-01

    Full Text Available Electrical Discharge Machining (EDM is one of the most basic non-conventional machining processes for production of complex geometries and process of hard materials, which are difficult to machine by conventional process. It is capable of machining geometrically complex or hard material components, that are precise and difficult-to-machine such as heat-treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels etc. The present study is focusing on the die sinking electric discharge machining (EDM of AISI H 13, W.-Nr. 1.2344 Grade: Ovar Supreme for finding out the effect of machining parameters such as discharge current (GI, pulse on time (POT, pulse off time (POF and spark gap (SG on performance response like Material removal rate (MRR, Surface Roughness (Ra & Overcut (OC using Square-shaped Cu tool with Lateral flushing. A well-designed experimental scheme is used to reduce the total number of experiments. Parts of the experiment are conducted with the L9 orthogonal array based on the Taguchi methodology and significant process parameters are identified using Analysis of Variance (ANOVA. It is found that MRR is affected by gap current & Ra is affected by pulse on time. Moreover, the signal-to-noise ratios associated with the observed values in the experiments are determined by which factor is most affected by the responses of MRR, Ra and OC. These experimental data are further investigated using Grey Relational Analysis to optimize multiple performances in which different levels combination of the factors are ranked based on grey relational grade. The analysis reveals that substantial improvement in machining performance takes place following this technique.

  1. Improvement of the auto wire feeder machine in a de-soldering process

    Directory of Open Access Journals (Sweden)

    Niramon Nonkhukhetkhong

    2016-10-01

    Full Text Available This paper presents the methodology of the de-soldering process for rework of disk drive Head Stack Assembly (HSA units. The auto wire feeder is a machine that generates Tin (Sn on the product. This machine was determined to be one of the major sources of excess Sn on the HSA. The defect rate due to excess Sn is more than 30%, which leads to increased processing time and cost to perform additional cleaning steps. From process analysis, the major causes of excess Sn are as follows: 1 The machine cannot cut the wire all the way into the flux core area; 2 The sizes and types of soldering irons are not appropriate for the unit parts; and, 3 There are variations introduced into the de-soldering process by the workforce. This paper proposes a methodology to address all three of these causes. First, the auto wire feeder machine in the de-solder process will be adjusted in order to cut wires into flux core. Second, the types of equipment and material used in de-soldering will be optimized. Finally, a new standard method for operators, which can be controlled more easily, will be developed in order to reduce defects due to workforce related variation. After these process controls and machine adjustments were implemented, the overall Sn related problems were significantly improved. Sn contamination was reduced by 41% and cycle time was reduced by an average of 15 seconds.

  2. Hardening Effect on Machined Surface for Precise Hard Cutting Process with Consideration of Tool Wear

    Institute of Scientific and Technical Information of China (English)

    YANG Yongheng

    2014-01-01

    During hard cutting process there is severe thermodynamic coupling effect between cutting tool and workpiece, which causes quenching effect on finished surfaces under certain conditions. However, material phase transformation mechanism of heat treatment in cutting process is different from the one in traditional process, which leads to changes of the formation mechanism of damaged layer on machined workpiece surface. This paper researches on the generation mechanism of damaged layer on machined surface in the process of PCBN tool hard cutting hardened steel Cr12MoV. Rules of temperature change on machined surface and subsurface are got by means of finite element simulation. In phase transformation temperature experiments rapid transformation instrument is employed, and the effect of quenching under cutting conditions on generation of damaged layer is revealed. Based on that, the phase transformation points of temperature under cutting conditions are determined. By experiment, the effects of cutting speed and tool wear on white layer thickness in damaged layer are revealed. The temperature distribution law of third deformation zone is got by establishing the numerical prediction model, and thickness of white layer in damaged layer is predicted, taking the tool wear effect into consideration. The experimental results show that the model prediction is accurate, and the establishment of prediction model provides a reference for wise selection of parameters in precise hard cutting process. For the machining process with high demanding on surface integrity, the generation of damaged layer on machined surface can be controlled precisely by using the prediction model.

  3. OSUL2013: Fostering Organizational Change through a Grassroots Planning Process

    Science.gov (United States)

    Schlosser, Melanie

    2011-01-01

    This paper provides background on planning and organizational culture change in libraries and describes a grassroots planning process taking place at the Ohio State University Libraries. Now in its third phase, the process aims to create a long-term plan for the organization while fostering a more collaborative, innovative culture.

  4. OSUL2013: Fostering Organizational Change through a Grassroots Planning Process

    Science.gov (United States)

    Schlosser, Melanie

    2011-01-01

    This paper provides background on planning and organizational culture change in libraries and describes a grassroots planning process taking place at the Ohio State University Libraries. Now in its third phase, the process aims to create a long-term plan for the organization while fostering a more collaborative, innovative culture.

  5. Plan for advanced microelectronics processing technology application

    Energy Technology Data Exchange (ETDEWEB)

    Goland, A.N.

    1990-10-01

    The ultimate objective of the tasks described in the research agreement was to identify resources primarily, but not exclusively, within New York State that are available for the development of a Center for Advanced Microelectronics Processing (CAMP). Identification of those resources would enable Brookhaven National Laboratory to prepare a program plan for the CAMP. In order to achieve the stated goal, the principal investigators undertook to meet the key personnel in relevant NYS industrial and academic organizations to discuss the potential for economic development that could accompany such a Center and to gauge the extent of participation that could be expected from each interested party. Integrated of these discussions was to be achieved through a workshop convened in the summer of 1990. The culmination of this workshop was to be a report (the final report) outlining a plan for implementing a Center in the state. As events unfolded, it became possible to identify the elements of a major center for x-ray lithography on Lone Island at Brookhaven National Laboratory. The principal investigators were than advised to substitute a working document based upon that concept in place of a report based upon the more general CAMP workshop originally envisioned. Following that suggestion from the New York State Science and Technology Foundation, the principals established a working group consisting of representatives of the Grumman Corporation, Columbia University, the State University of New York at Stony Brook, and Brookhaven National Laboratory. Regular meetings and additional communications between these collaborators have produced a preproposal that constitutes the main body of the final report required by the contract. Other components of this final report include the interim report and a brief description of the activities which followed the establishment of the X-ray Lithography Center working group.

  6. Strategic Planning Process at the National Technical Information Service,

    Science.gov (United States)

    funding, and advances in automation, have dictated the need for information services to have a strong commitment to strategic planning . This paper...describes these trends and outlines the strategic planning process at the National Technical Information Service (NTIS). Initially resisted, strategic ... planning has become an important component of the agency management system. In recent years the planning system has been linked with performance plans of

  7. Installation and Implementation of an In-Process Coordinate Measuring Machine (CMM)

    Energy Technology Data Exchange (ETDEWEB)

    Johnston, Derek

    2008-06-16

    This report documents the work accomplished during the installation and implementation of the in-process Coordinate Measuring Machine (CMM) in Department A. A wealth of knowledge has been gained in solving the many technical issues that delayed the partial implementation of this CMM. The work completed thus far lead to the successfully calibrated in-process CMM workstation. A great deal of current and future work has been outlined in the following pages that shall be used as a guide for the full implementation of this CMM with machining processes in Department A.

  8. 49 CFR 1106.4 - The Safety Integration Plan process.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 8 2010-10-01 2010-10-01 false The Safety Integration Plan process. 1106.4... OF CONTROL § 1106.4 The Safety Integration Plan process. (a) Each applicant in a transaction subject... ongoing environmental review process under 49 CFR part 1105. The procedures governing the process shall...

  9. An approach for systematic process planning of gear transmission parts

    OpenAIRE

    Bagge, Mats

    2009-01-01

    The objective of this thesis is to find and develop methods that enhance and support the creation of evolvable master process plans with possibilities to challenge productivity and meet changing design requirements. The condition for achieving this is primarily that both the fundamental thinking and the results behind a process plan can be described. How should this be done? The focus is laid on process planning of gear transmission parts for heavy vehicles like trucks and coaches. Process pl...

  10. The NASA planning process, appendix D. [as useful planning approach for solving urban problems

    Science.gov (United States)

    Annett, H. A.

    1973-01-01

    The planning process is outlined which NASA used in making some fundamental post-Apollo decisions concerning the reuseable space shuttle and the orbiting laboratory. It is suggested that the basic elements and principles of the process, when combined, form a useful planning approach for solving urban problems. These elements and principles are defined along with the basic strengths of the planning model.

  11. The NASA planning process, appendix D. [as useful planning approach for solving urban problems

    Science.gov (United States)

    Annett, H. A.

    1973-01-01

    The planning process is outlined which NASA used in making some fundamental post-Apollo decisions concerning the reuseable space shuttle and the orbiting laboratory. It is suggested that the basic elements and principles of the process, when combined, form a useful planning approach for solving urban problems. These elements and principles are defined along with the basic strengths of the planning model.

  12. MO-B-BRB-00: Optimizing the Treatment Planning Process

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2015-06-15

    The radiotherapy treatment planning process has evolved over the years with innovations in treatment planning, treatment delivery and imaging systems. Treatment modality and simulation technologies are also rapidly improving and affecting the planning process. For example, Image-guided-radiation-therapy has been widely adopted for patient setup, leading to margin reduction and isocenter repositioning after simulation. Stereotactic Body radiation therapy (SBRT) and Radiosurgery (SRS) have gradually become the standard of care for many treatment sites, which demand a higher throughput for the treatment plans even if the number of treatments per day remains the same. Finally, simulation, planning and treatment are traditionally sequential events. However, with emerging adaptive radiotherapy, they are becoming more tightly intertwined, leading to iterative processes. Enhanced efficiency of planning is therefore becoming more critical and poses serious challenge to the treatment planning process; Lean Six Sigma approaches are being utilized increasingly to balance the competing needs for speed and quality. In this symposium we will discuss the treatment planning process and illustrate effective techniques for managing workflow. Topics will include: Planning techniques: (a) beam placement, (b) dose optimization, (c) plan evaluation (d) export to RVS. Planning workflow: (a) import images, (b) Image fusion, (c) contouring, (d) plan approval (e) plan check (f) chart check, (g) sequential and iterative process Influence of upstream and downstream operations: (a) simulation, (b) immobilization, (c) motion management, (d) QA, (e) IGRT, (f) Treatment delivery, (g) SBRT/SRS (h) adaptive planning Reduction of delay between planning steps with Lean systems due to (a) communication, (b) limited resource, (b) contour, (c) plan approval, (d) treatment. Optimizing planning processes: (a) contour validation (b) consistent planning protocol, (c) protocol/template sharing, (d) semi

  13. Automatization techniques for processing biomedical signals using machine learning methods

    OpenAIRE

    Artés Rodríguez, Antonio

    2008-01-01

    The Signal Processing Group (Department of Signal Theory and Communications, University Carlos III, Madrid, Spain) offers the expertise of its members in the automatic processing of biomedical signals. The main advantages in this technology are the decreased cost, the time saved and the increased reliability of the results. Technical cooperation for the research and development with internal and external funding is sought.

  14. Temperature fields in machining processes and heat transfer models

    Energy Technology Data Exchange (ETDEWEB)

    Palazzo, G.; Pasquino, R. [University of Salerno Via Ponte Donmelillo, Fisciano (Italy). Department of Mechanical Engineering; Bellomo, N. [Politecnico Torino Corso Duca degli Abruzzi, Torino (Italy). Department of Mathematics

    2002-07-01

    This paper deals with the modelling of the heat transfer process with special attention to the characterization of the thermal field during turning processes. Specifically, the measurement of the thermal field and the selection of the proper heat transfer models are dealt with. The analysis is developed in view of the solution of direct and inverse problems. (author)

  15. End mill tools integration in CNC machining for rapid manufacturing processes: simulation studies

    Directory of Open Access Journals (Sweden)

    Muhammed Nafis Osman Zahid

    2015-01-01

    Full Text Available Computer numerical controlled (CNC machining has been recognized as a manufacturing process that is capable of producing metal parts with high precision and reliable quality, whereas many additive manufacturing methods are less capable in these respects. The introduction of a new layer-removal methodology that utilizes an indexing device to clamp the workpiece can be used to extend CNC applications into the realm of rapid manufacturing (CNC-RM processes. This study aims to improve the implementation of CNC machining for RM by formulating a distinct approach to integrate end mill tools during finishing processes. A main objective is to enhance process efficiency by minimizing the staircasing effect of layer removal so as to improve the quality of machined parts. In order to achieve this, different types of end mill tools are introduced to cater for specific part surfaces during finishing operations. Virtual machining simulations are executed to verify the method and the implications. The findings indicate the advantages of the approach in terms of cutting time and excess volume left on the parts. It is shown that using different tools for finishing operations will improve the capabilities of CNC machining for rapid manufacturing applications.

  16. Process acceptance and adjustment techniques for Swiss automatic screw machine parts. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Robb, J.M.

    1976-01-01

    Product tolerance requirements for small, cylindrical, piece parts produced on swiss automatic screw machines have progressed to the reliability limits of inspection equipment. The miniature size, configuration, and tolerance requirements (plus or minus 0.0001 in.) (0.00254 mm) of these parts preclude the use of screening techniques to accept product or adjust processes during setup and production runs; therefore, existing means of product acceptance and process adjustment must be refined or new techniques must be developed. The purpose of this endeavor has been to determine benefits gained through the implementation of a process acceptance technique (PAT) to swiss automatic screw machine processes. PAT is a statistical approach developed for the purpose of accepting product and centering processes for parts produced by selected, controlled processes. Through this endeavor a determination has been made of the conditions under which PAT can benefit a controlled process and some specific types of screw machine processes upon which PAT could be applied. However, it was also determined that PAT, if used indiscriminately, may become a record keeping burden when applied to more than one dimension at a given machining operation. (auth)

  17. Influence of Induction Machine and Mechanism Parameters on Starting Transient Processes in Case of Constant Load Conditions

    Directory of Open Access Journals (Sweden)

    Dimitar Spirov

    2005-10-01

    Full Text Available Two-phase induction machine dynamic model in a coordinate system which rotates at synchronous speed and one-mass dynamic model of mechanism driven in relative units describing transient processes when starting an induction machine in case of constant load conditions are developed.The influence of equivalent circuit parameters of induction machine and mechanism parameters on impact currents and torques and starting time of common used induction machines is studied by means of design of experiment method.

  18. Process planning method driven by process model%工序模型驱动的工艺设计方法

    Institute of Scientific and Technical Information of China (English)

    田富君; 田锡天; 耿俊浩; 张振明

    2011-01-01

    通过分析目前三维环境下工艺设计存在的问题,在工艺设计过程中引入工序模型的概念,并提出了工序模型驱动的工艺设计方法.该方法从零件设计模型到毛坯模型逆向生成零件的加工工序,每规划一道工序,生成一个工序模型,然后基于该工序模型进行下一道工序的规划.在工序模型驱动的工艺设计过程中,加工特征识别、加工元生成以及加工元聚类是影响工艺自动规划的关键,为此,对基于工序模型的混合加工特征识别、基于知识的加工元生成以及基于模糊C-均值的加工元聚类进行了深入的研究.以某型号飞机双面大框零件为例,讨论了所提方法的应用过程,为三维环境下的工艺设计提供了一种新思路.%analyzing the existing problems of process planning based on three-dimensional model, definition of process model was introduced into the process planning, and a process planning method driven by process model was put forward. Contrary to traditional method, this method generated machining process from part design model to blank model, in each designing process, a process model was generated, and then the next process based on this process model was designed until the whole process planning was completed. In the procedures of the method, machining feature recognition, machining element generation and machining element cluster were the key elements to influence the automatic process planning. Therefore, a further study on hybrid interactive feature recognition based on process model, a machining element generation method based on knowledge and a machining element clustering method based on fuzzy C-means were implemented. An example of complicated airplane part was taken to discuss the application procedure of the proposed method, which provided a new theory for the process planning based on three-dimensional model.

  19. Process parameters effect on material removal mechanism and cut quality of abrasive water jet machining

    Directory of Open Access Journals (Sweden)

    Janković P.

    2013-01-01

    Full Text Available The process of the abrasive water jet cutting of materials, supported by the theories of fluid mechanics, abrasive wear and damage mechanics, is a high-tech technologies that provides unique capabilities compared to conventional machining processes. This paper, along the theoretical derivations, provides original contributions in the form of mathematical models of the quantity of the cut surface damage, expressed by the values of cut surface roughness. The particular part of this paper deal with the results of the original experimental research. The research aim was connected with the demands of industry, i.e. the end user. Having in mind that the conventional machining processes are not only lagging behind in terms of quality of cut, or even some requests are not able to meet, but with the advent of composite materials were not able to machine them, because they occurred unacceptable damage (mechanical damage or delamination, fiber pull-out, burning, frayed edges.

  20. IMPROVE MACHINING PROCESS CAPABILITY BY USING SIX-SIGMA

    Directory of Open Access Journals (Sweden)

    Sanjit Ray

    2011-06-01

    Full Text Available Abstract: Six-Sigma is an improvement strategy for achieving customer satisfaction by reducing variation and thus producing products and services better, faster and cheaper. This study presents a Six-Sigma project of an automotive plant illustrating how the DMAIC methodology and statistical techniques were applied to resolve the issue of manufacturing process capability. This project has substantially benefit ted the organization by reducing the variation of bore size of crank case, achieving zero rejection and improving the on time delivery. By using appropriate qualitative and quantitative tools in different phases of the DMAIC methodology, the critical output, key process inputs and root causes were identified, analyzed and validated. This project methodology can be used in general to reduce process variation for any other manufacturing processes as well, which will help in improving customer satisfaction.

  1. Complex Ornament Machining Process on a CNC Router

    OpenAIRE

    Camelia COŞEREANU; Ivan CISMARU

    2014-01-01

    The paper investigates the CNC routering possibilities for three species of wood, namely ash (Fraxinus Excelsior), lime wood (Tilia cordata) and fir wood (Abies Alba), in order to obtain right surfaces of Art Nouveau sculptured ornaments. Given the complexity of the CNC tool path for getting wavy shapes of Art Nouveau decorations, the choice of processing parameters for each processed species of wood requires a laborious research work to correlate these parameters. Two Art Nou...

  2. Optimization of Process Parameters And Dielectric Fluids on Machining En 31 By Using Topsis

    Directory of Open Access Journals (Sweden)

    A.Hemantha Kumar

    2016-09-01

    Full Text Available The electric discharge machining is the one of the most desirable machining process for the materials which are having high hardness and good thermal conductivity. The EDM process surpassed through the technological barriers by overcoming limitations like processing speed, material conductivity, dimensional accuracy, and surface finish and so on. However, environmental impact due to release of toxic emissions aerosols during the process, poor operational safety due to fire hazard, electromagnetic radiation and non-bio degradable waste are the major problems concerned with conventional dielectric fluids (i.e. kerosene, hydro carbon, etc.,. To reduce the problems with conventional die electric fluids waste palm oil blended with kerosene is used. The process is mostly used in situations where intricate, complex shapes need to be machined in very hard materials. The objective of this work is to study the influence of four design factors current (I, voltage (V, pulse on(P on, and pulse off(P off which are the most relevant parameters to be controlled by the EDM process over machining characteristics such as material removal rate (MRR characteristics of surface integrity such as average surface roughness (Ra. Multi Objective optimization of process parameters is done by using TOPSIS.

  3. Integrated payload and mission planning, phase 3. Volume 1: Integrated payload and mission planning process evaluation

    Science.gov (United States)

    Sapp, T. P.; Davin, D. E.

    1977-01-01

    The integrated payload and mission planning process for STS payloads was defined, and discrete tasks which evaluate performance and support initial implementation of this process were conducted. The scope of activity was limited to NASA and NASA-related payload missions only. The integrated payload and mission planning process was defined in detail, including all related interfaces and scheduling requirements. Related to the payload mission planning process, a methodology for assessing early Spacelab mission manager assignment schedules was defined.

  4. Simulation and Prediction of Alkalinity in Sintering Process Based on Grey Least Squares Support Vector Machine

    Institute of Scientific and Technical Information of China (English)

    SONG Qiang; WANG Ai-min

    2009-01-01

    The prediction of the alkalinity is difficult during the sintering process. Whether or not the level of the alkalinity of sintering process is successful is directly related to the quality of sinter. There is no very good method for predicting the alkalinity by now owing to the high complexity, high nonlinearity, strong coupling, high time delay, and etc. Therefore, a new technique, the grey squares support machine, was introduced. The grey support vector machine model of the alkalinity enabled the development of new equation and algorithm to predict the alkalinity. During modelling, the fluctuation of data sequence was weakened by the grey theory and the support vector machine was capable of processing nonlinear adaptable information, and the grey support vector machine has a combination of those advantages. The results revealed that the alkalinity of sinter could be accurately predicted using this model by reference to small sample and information. The experimental results showed that the grey support vector machine model was effective and practical owing to the advantages of high precision, less samples required, and simple calculation.

  5. Machine Vision and Advanced Image Processing in Remote Sensing

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    This paper describes the multivariate alteration detection (MAD) transformation which is based on the established canonical correlation analysis. It also proposes post-processing of the change detected by the MAD variates by means of maximum autocorrelation factor (MAF) analysis. As opposed to mo...

  6. Process quality planning of quality function deployment for carrot syrup

    Science.gov (United States)

    Ekawati, Yurida; Noya, Sunday; Widjaja, Filemon

    2017-06-01

    Carrot products are rarely available in the market. Based on previous research that had been done using QFD to generate product design of carrots products, the research to produce the process quality planning had been carried out. The carrot product studied was carrot syrup. The research resulted in a process planning matrix for carrot syrup. The matrix gives information about critical process plan and the priority of the critical process plan. The critical process plan on the production process of carrot syrup consists of carrots sorting, carrots peeling, carrots washing, blanching process, carrots cutting, the making of pureed carrots, filtering carrot juice, the addition of sugar in carrot juice, the addition of food additives in carrot juice, syrup boiling, syrup filtering, syrup filling into the bottle, the bottle closure and cooling. The information will help the design of the production process of carrot syrup.

  7. Application of PROMETHEE-GAIA method for non-traditional machining processes selection

    Directory of Open Access Journals (Sweden)

    Prasad Karande

    2012-10-01

    Full Text Available With ever increasing demand for manufactured products of hard alloys and metals with high surface finish and complex shape geometry, more interest is now being paid to non-traditional machining (NTM processes, where energy in its direct form is used to remove material from workpiece surface. Compared to conventional machining processes, NTM processes possess almost unlimited capabilities and there is a strong believe that use of NTM processes would go on increasing in diverse range of applications. Presence of a large number of NTM processes along with complex characteristics and capabilities, and lack of experts in NTM process selection domain compel for development of a structured approach for NTM process selection for a given machining application. Past researchers have already attempted to solve NTM process selection problems using various complex mathematical approaches which often require a profound knowledge in mathematics/artificial intelligence from the part of process engineers. In this paper, four NTM process selection problems are solved using an integrated PROMETHEE (preference ranking organization method for enrichment evaluation and GAIA (geometrical analysis for interactive aid method which would act as a visual decision aid to the process engineers. The observed results are quite satisfactory and exactly match with the expected solutions.

  8. LHC Report: machine development

    CERN Multimedia

    Rogelio Tomás García for the LHC team

    2015-01-01

    Machine development weeks are carefully planned in the LHC operation schedule to optimise and further study the performance of the machine. The first machine development session of Run 2 ended on Saturday, 25 July. Despite various hiccoughs, it allowed the operators to make great strides towards improving the long-term performance of the LHC.   The main goals of this first machine development (MD) week were to determine the minimum beam-spot size at the interaction points given existing optics and collimation constraints; to test new beam instrumentation; to evaluate the effectiveness of performing part of the beam-squeezing process during the energy ramp; and to explore the limits on the number of protons per bunch arising from the electromagnetic interactions with the accelerator environment and the other beam. Unfortunately, a series of events reduced the machine availability for studies to about 50%. The most critical issue was the recurrent trip of a sextupolar corrector circuit –...

  9. A Web-based machining process monitoring system for E-manufacturing implementation

    Institute of Scientific and Technical Information of China (English)

    SHIN Bong-cheol; KIM Gun-hee; CHOI Jin-hwa; JEON Byung-cheol; LEE Honghee; CHO Myeong-woo; HAN Jin-yong; PARK Dong-sam

    2006-01-01

    Recently, with the rapid growth ofinformation technology, many studies have been performed to implement Web-based manufacturing system. Such technologies are expected to meet the need of many manufacturing industries who want to adopt E-manufacturing system for the construction of globalization, agility, and digitalization to cope with the rapid changing market requirements. In this research, a real-time Web-based machine tool and machining process monitoring system is developed as the first step for implementing E-manufacturing system. In this system, the current variations of the main spindle and feeding motors are measured using hall sensors. And the relationship between the cutting force and the spindle motor RMS (Root Mean Square) current at various spindle rotational speeds is obtained. Thermocouples are used to measure temperature variations of important heat sources of a machine tool. Also, a rule-based expert system is applied in order to decide the machining process and machine tool are in normal conditions. Finally, the effectiveness of the developed system is verified through a series of experiments.

  10. Machine learning and predictive data analytics enabling metrology and process control in IC fabrication

    Science.gov (United States)

    Rana, Narender; Zhang, Yunlin; Wall, Donald; Dirahoui, Bachir; Bailey, Todd C.

    2015-03-01

    Integrate circuit (IC) technology is going through multiple changes in terms of patterning techniques (multiple patterning, EUV and DSA), device architectures (FinFET, nanowire, graphene) and patterning scale (few nanometers). These changes require tight controls on processes and measurements to achieve the required device performance, and challenge the metrology and process control in terms of capability and quality. Multivariate data with complex nonlinear trends and correlations generally cannot be described well by mathematical or parametric models but can be relatively easily learned by computing machines and used to predict or extrapolate. This paper introduces the predictive metrology approach which has been applied to three different applications. Machine learning and predictive analytics have been leveraged to accurately predict dimensions of EUV resist patterns down to 18 nm half pitch leveraging resist shrinkage patterns. These patterns could not be directly and accurately measured due to metrology tool limitations. Machine learning has also been applied to predict the electrical performance early in the process pipeline for deep trench capacitance and metal line resistance. As the wafer goes through various processes its associated cost multiplies. It may take days to weeks to get the electrical performance readout. Predicting the electrical performance early on can be very valuable in enabling timely actionable decision such as rework, scrap, feedforward, feedback predicted information or information derived from prediction to improve or monitor processes. This paper provides a general overview of machine learning and advanced analytics application in the advanced semiconductor development and manufacturing.

  11. Kennedy Space Center Orion Processing Team Planning for Ground Operations

    Science.gov (United States)

    Letchworth, Gary; Schlierf, Roland

    2011-01-01

    Topics in this presentation are: Constellation Ares I/Orion/Ground Ops Elements Orion Ground Operations Flow Orion Operations Planning Process and Toolset Overview, including: 1 Orion Concept of Operations by Phase 2 Ops Analysis Capabilities Overview 3 Operations Planning Evolution 4 Functional Flow Block Diagrams 5 Operations Timeline Development 6 Discrete Event Simulation (DES) Modeling 7 Ground Operations Planning Document Database (GOPDb) Using Operations Planning Tools for Operability Improvements includes: 1 Kaizen/Lean Events 2 Mockups 3 Human Factors Analysis

  12. A Strategic Planning Process for NATO for the 1990s

    Science.gov (United States)

    1992-06-01

    This thesis deals with the possible shifts in NATO’s strategy for the rest of the 1990s. It uses a strategic planning model to explore these possible...shift’s in strategy. Strategic planning is a systematic process of defining the mission and the objectives and creating action plans, policies and...resource allocations to achieve them. Every organization should initiate strategic planning in order to address the evolving needs of its stakeholders

  13. Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion

    NARCIS (Netherlands)

    Spekken, Mark; Bruin, De Sytze; Molin, José Paulo; Sparovek, Gerd

    2016-01-01

    Soil erosion in arable fields is intensified on irregular surfaces. Although machine and crop-row patterns following terrain contours reduce runoff and increase water infiltration, these contours are almost never parallel while machine operations always are. In this work, a method is presented to

  14. CONTROL SYSTEM EVALUATION AND IMPLEMENTATION FOR THE ABRASIVE MACHINING PROCESS ON WOOD

    Directory of Open Access Journals (Sweden)

    Stephen Jackson

    2011-06-01

    Full Text Available Continuous process improvement and automation have proven to be powerful tools for the wood processing industries in order to obtain better final product quality and thus increase profits. Abrasive machining represents an important and relevant process in the manufacturing and processing of wood products, which also implies high cost of materials and labor; therefore, special attention to this process is necessary. The objective of this work was to evaluate and demonstrate a process control system for use in the abrasive machining of wood and wood-based products. A control system was created on LabView® to integrate the monitoring process and the actions required, depending on the abrasive machining process conditions. The system acquires information from the optical sensor to detect loading and activate the cleaning system. The system continuously monitors the condition of the abrasive belt (tool wear by using an acoustic emission sensor and alerts the operator of the status of the belt (green, yellow, and red lights indicating satisfactory, medium, and poor belt condition. The system also incorporates an additional safety device, which helps prevent permanent damage to the belt, equipment, or workpiece by alerting the operator when an excessive temperature has been reached. The process control system proved that automation permits enhancement in the consistency of the belt cleaning technique by the elimination of the human errors. Furthermore, this improvement also affects the cost by extending the life of the belt, which reduces setup time, belt cost, operation cost, as well as others.

  15. Surface performance of workpieces processed by electrical discharge machining in gas

    Institute of Scientific and Technical Information of China (English)

    LI Li-qing; BAI Ji-cheng; GUO Yong-feng; WANG Zhen-long

    2009-01-01

    The surface performance of workpieces processed by electrical discharge machining in gas (dry EDM) was studied in this paper. Firstly, the composition, micro hardness and recast layer of electrical discharge machined (EDMed) surface of 45 carbon steels in air were investigated through different test analysis methods. The results show that the workpiece surface EDMed in air contains a certain quantity of oxide, and oxidation occurs on the workpiece surface. Compared with the surface of workpieces processed in kerosene, fewer cracks exist on the dry EDMed workpiece surface, and the surface recast layer is thinner than that obtained by conventional EDM. The micro hardness of workpieces machined by dry EDM method is lower than that machined in kerosene, and higher than that of the matrix. In addition, experiments were conducted on the surface wear resistance of workpieces processed in air and kerosene using copper electrode and titanium alloy electrode.The results indicate that the surface wear resistance of workpieces processed in air can be improved, and it is related with tool material and dielectric.

  16. e-Learning Application for Machine Maintenance Process using Iterative Method in XYZ Company

    Science.gov (United States)

    Nurunisa, Suaidah; Kurniawati, Amelia; Pramuditya Soesanto, Rayinda; Yunan Kurnia Septo Hediyanto, Umar

    2016-02-01

    XYZ Company is a company based on manufacturing part for airplane, one of the machine that is categorized as key facility in the company is Millac 5H6P. As a key facility, the machines should be assured to work well and in peak condition, therefore, maintenance process is needed periodically. From the data gathering, it is known that there are lack of competency from the maintenance staff to maintain different type of machine which is not assigned by the supervisor, this indicate that knowledge which possessed by maintenance staff are uneven. The purpose of this research is to create knowledge-based e-learning application as a realization from externalization process in knowledge transfer process to maintain the machine. The application feature are adjusted for maintenance purpose using e-learning framework for maintenance process, the content of the application support multimedia for learning purpose. QFD is used in this research to understand the needs from user. The application is built using moodle with iterative method for software development cycle and UML Diagram. The result from this research is e-learning application as sharing knowledge media for maintenance staff in the company. From the test, it is known that the application make maintenance staff easy to understand the competencies.

  17. Convex quadratic programming relaxations for parallel machine scheduling with controllable processing times subject to release times

    Institute of Scientific and Technical Information of China (English)

    ZHANG Feng; CHEN Feng; TANG Guochun

    2004-01-01

    Scheduling unrelated parallel machines with controllable processing times subject to release times is investigated. Based on the convex quadratic programming relaxation and the randomized rounding strategy, a 2-approximation algorithm is obtained for a special case with the all-or-none property and then a 3-approximation algorithm is presented for general problem.

  18. Improved Quality Prediction Model for Multistage Machining Process Based on Geometric Constraint Equation

    Institute of Scientific and Technical Information of China (English)

    ZHU Limin; HE Gaiyun; SONG Zhanjie

    2016-01-01

    Product variation reduction is critical to improve process efficiency and product quality, especially for multistage machining process (MMP). However, due to the variation accumulation and propagation, it becomes quite difficult to predict and reduce product variation for MMP. While the method of statistical process control can be used to control product quality, it is used mainly to monitor the process change rather than to analyze the cause of product variation. In this paper, based on a differential description of the contact kinematics of locators and part surfaces, and the geometric constraints equation defined by the locating scheme, an improved analytical variation propagation model for MMP is presented. In which the influence of both locator position and machining error on part quality is considered while, in traditional model, it usually focuses on datum error and fixture error. Coordinate transformation theory is used to reflect the generation and transmission laws of error in the establishment of the model. The concept of deviation matrix is heavily applied to establish an explicit mapping between the geometric deviation of part and the process error sources. In each machining stage, the part deviation is formulized as three separated components corresponding to three different kinds of error sources, which can be further applied to fault identification and design optimization for complicated machining process. An example part for MMP is given out to validate the effectiveness of the methodology. The experiment results show that the model prediction and the actual measurement match well. This paper provides a method to predict part deviation under the influence of fixture error, datum error and machining error, and it enriches the way of quality prediction for MMP.

  19. Infrared thermography for process control and predictive maintenance purposes in a steel wire drawing machine

    Science.gov (United States)

    Rozlosnik, Andres E.; Lardone, Victor M.

    1999-03-01

    The industrial drawing process reduces the section of the wire rod by pulling the material through a hard die. This process generates heat by deformation and friction. The heat generated must be immediately removed after every reduction diameter step, otherwise the final quality of wire and the drawing performance will be poor. That is the reason why the improvement of the cooling efficiency in the drawing machine is of great importance. The better the cooling efficiency, the greater the wire quality and the productivity of the process will be. Nowadays, the infrared thermography control offer the possibility to analyze how the drawing aspect is affecting the cooling efficiency and how this technique allows the drawing process improvements. As you look at the capstans in the wire process control, you are doing at the same time, predictive maintenance in the machine.

  20. Monocular depth perception using image processing and machine learning

    Science.gov (United States)

    Hombali, Apoorv; Gorde, Vaibhav; Deshpande, Abhishek

    2011-10-01

    This paper primarily exploits some of the more obscure, but inherent properties of camera and image to propose a simpler and more efficient way of perceiving depth. The proposed method involves the use of a single stationary camera at an unknown perspective and an unknown height to determine depth of an object on unknown terrain. In achieving so a direct correlation between a pixel in an image and the corresponding location in real space has to be formulated. First, a calibration step is undertaken whereby the equation of the plane visible in the field of view is calculated along with the relative distance between camera and plane by using a set of derived spatial geometrical relations coupled with a few intrinsic properties of the system. The depth of an unknown object is then perceived by first extracting the object under observation using a series of image processing steps followed by exploiting the aforementioned mapping of pixel and real space coordinate. The performance of the algorithm is greatly enhanced by the introduction of reinforced learning making the system independent of hardware and environment. Furthermore the depth calculation function is modified with a supervised learning algorithm giving consistent improvement in results. Thus, the system uses the experience in past and optimizes the current run successively. Using the above procedure a series of experiments and trials are carried out to prove the concept and its efficacy.

  1. Multiscale processing of loss of metal: a machine learning approach

    Science.gov (United States)

    De Masi, G.; Gentile, M.; Vichi, R.; Bruschi, R.; Gabetta, G.

    2017-07-01

    Corrosion is one of the principal causes of degradation to failure of marine structures. In practice, localized corrosion is the most dangerous mode of attack and can result in serious failures, in particular in marine flowlines and inter-field lines, arousing serious concerns relatively to environmental impact. The progress in time of internal corrosion, the location along the route and across the pipe section, the development pattern and the depth of the loss of metal are a very complex issue: the most important factors are products characteristics, transport conditions over the operating lifespan, process fluid-dynamics, and pipeline geometrical configuration. Understanding which factors among them play the most important role is a key step to develop a model able to predict with enough accuracy the sections more exposed to risk of failure. Some factors play a crucial role at certain spatial scales while other factors at other scales. The Mutual Information Theory, intimately related to the concept of Shannon Entropy in Information theory, has been applied to detect the most important variables at each scale. Finally, the variables emerged from this analysis at each scale have been integrated in a predicting data driven model sensibly improving its performance.

  2. ON THE COMPLETION TIME OF A JOB PROCESSED ON AN UNRELIABLE MACHINE

    Institute of Scientific and Technical Information of China (English)

    岳德权; 涂菶生

    2001-01-01

    In this paper, we consider the completion time of a job processed on an unreliable machine.Assume that the lifetime and the repair time of the machine and the service time of the job have general distributions. We obtain the Laplace-Stieltjes transforms and the expectations of the distributions of the completion time, the interruption time and the actual service time. Under some special cases, we derive sufficient and necessary (or sufficient) conditions such that the completion time is larger and smaller than the service time in the sense of the Laplace transform order (or the expectation), respectively.

  3. Finite Progressive Planning for the Assembly Process in Footwear

    Science.gov (United States)

    Reyes, John; Aldás, Darwin; Salazar, Edisson; Armendáriz, Evelyn; Álvarez, Kevin; Núñez, José; García, Mario

    2017-06-01

    The scheduling of the operations of a manufacturing system is recognized for its efficiency in establishing a characteristic rate of production based on the forecasting of the ending date of an order. However, progressive planning focused on the footwear industries has not been studied in detail, since it is limited by the use of machines and supply according to the demand of the production line, whose development is based on just in time. The study proposes a finite progressive planning model in the area of footwear assembly that begins with analysis of the demand and identification of manufacturing constraints in order to establish an optimal ordering sequence. The results show manufacturing requirements through production orders that automatically determine production shifts per order, through experimentation of scenarios, the 25% increase in productivity indicators and a 31% improvement in efficiency are established. This improvement represents higher benefits for the industrial sector when establishing planning in the workplace.

  4. Organizational factors, planning capacity, and integration challenges constrain provincial planning processes for nutrition in decentralizing Vietnam.

    Science.gov (United States)

    Lapping, Karin; Frongillo, Edward A; Nguyen, Phuong H; Coates, Jennifer; Webb, Patrick; Menon, Purnima

    2014-09-01

    Translating national policies and guidelines into effective action at the subnational level (e.g., province or region) is a prerequisite for ensuring an impact on nutrition. In several countries, including Vietnam, the focus of this paper, this process is affected by the quality of the decentralized process of planning and action. This study examined how provincial planning processes for nutrition occurred in Vietnam during 2009 and 2010. Key goals were to understand variability in processes across provinces, identify factors that influenced the process, and assess the usefulness of the process for individuals involved in planning and action. A qualitative case-study methodology was used. Data were drawn from interviews with 51 government officials in eight provinces. The study found little variability in the planning process among these eight provinces, probably due to a planning process that was predominantly a fiscal exercise within the confines of a largely centralized structure. Respondents were almost unanimous about the main barriers: a top-down approach to planning, limited human capacity for effective planning at subnational levels, and difficulty in integrating actions from multiple sectors. Provincial-level actors were deeply dissatisfied with the nature of their role in the process. Despite the rhetoric to the contrary, too much power is probably still retained at the central level. A strategic multiyear approach is needed to strengthen the provincial planning process and address many of the key barriers identified in this study.

  5. 44 CFR 78.9 - Planning grant approval process.

    Science.gov (United States)

    2010-10-01

    ... MITIGATION ASSISTANCE § 78.9 Planning grant approval process. The State POC will evaluate and approve... 44 Emergency Management and Assistance 1 2010-10-01 2010-10-01 false Planning grant approval process. 78.9 Section 78.9 Emergency Management and Assistance FEDERAL EMERGENCY MANAGEMENT AGENCY...

  6. Principles of image processing in machine vision systems for the color analysis of minerals

    Science.gov (United States)

    Petukhova, Daria B.; Gorbunova, Elena V.; Chertov, Aleksandr N.; Korotaev, Valery V.

    2014-09-01

    At the moment color sorting method is one of promising methods of mineral raw materials enrichment. This method is based on registration of color differences between images of analyzed objects. As is generally known the problem with delimitation of close color tints when sorting low-contrast minerals is one of the main disadvantages of color sorting method. It is can be related with wrong choice of a color model and incomplete image processing in machine vision system for realizing color sorting algorithm. Another problem is a necessity of image processing features reconfiguration when changing the type of analyzed minerals. This is due to the fact that optical properties of mineral samples vary from one mineral deposit to another. Therefore searching for values of image processing features is non-trivial task. And this task doesn't always have an acceptable solution. In addition there are no uniform guidelines for determining criteria of mineral samples separation. It is assumed that the process of image processing features reconfiguration had to be made by machine learning. But in practice it's carried out by adjusting the operating parameters which are satisfactory for one specific enrichment task. This approach usually leads to the fact that machine vision system unable to estimate rapidly the concentration rate of analyzed mineral ore by using color sorting method. This paper presents the results of research aimed at addressing mentioned shortcomings in image processing organization for machine vision systems which are used to color sorting of mineral samples. The principles of color analysis for low-contrast minerals by using machine vision systems are also studied. In addition, a special processing algorithm for color images of mineral samples is developed. Mentioned algorithm allows you to determine automatically the criteria of mineral samples separation based on an analysis of representative mineral samples. Experimental studies of the proposed algorithm

  7. A priority-based heuristic algorithm (PBHA for optimizing integrated process planning and scheduling problem

    Directory of Open Access Journals (Sweden)

    Muhammad Farhan Ausaf

    2015-12-01

    Full Text Available Process planning and scheduling are two important components of a manufacturing setup. It is important to integrate them to achieve better global optimality and improved system performance. To find optimal solutions for integrated process planning and scheduling (IPPS problem, numerous algorithm-based approaches exist. Most of these approaches try to use existing meta-heuristic algorithms for solving the IPPS problem. Although these approaches have been shown to be effective in optimizing the IPPS problem, there is still room for improvement in terms of quality of solution and algorithm efficiency, especially for more complicated problems. Dispatching rules have been successfully utilized for solving complicated scheduling problems, but haven’t been considered extensively for the IPPS problem. This approach incorporates dispatching rules with the concept of prioritizing jobs, in an algorithm called priority-based heuristic algorithm (PBHA. PBHA tries to establish job and machine priority for selecting operations. Priority assignment and a set of dispatching rules are simultaneously used to generate both the process plans and schedules for all jobs and machines. The algorithm was tested for a series of benchmark problems. The proposed algorithm was able to achieve superior results for most complex problems presented in recent literature while utilizing lesser computational resources.

  8. An inverse heat transfer problem for optimization of the thermal process in machining

    Indian Academy of Sciences (India)

    M Gostimirovic; P Kovac; M Sekulic

    2011-08-01

    It is evident that machining process causes development of large quantities of thermal energy within a relatively narrow area of the cutting zone. The generated thermal energy and the problems of its evacuation from the cutting zone account for high temperatures in machining. These increased temperatures exert a pronounced negative effect on the tool and workpiece. This paper takes a different approach towards identification of the thermal process in machining, using inverse heat transfer problem. Inverse heat transfer method allows the closest possible experimental and analytical approximation of thermal state for a machining process. Based on a temperature measured at any point within a workpiece, inverse method allows determination of a complete temperature field in the cutting zone as well as the heat flux distribution on the tool/workpiece interface. By knowing the heat flux function, one defines criterium and method of optimization, the inverse heat transfer problem transforms into extreme case. Now, the task of optimization is to determine most favourable ratio between heat flux parameters in order to preserve exploitation properties of the tool and workpiece.

  9. Processing of rock core microtomography images: Using seven different machine learning algorithms

    Science.gov (United States)

    Chauhan, Swarup; Rühaak, Wolfram; Khan, Faisal; Enzmann, Frieder; Mielke, Philipp; Kersten, Michael; Sass, Ingo

    2016-01-01

    The abilities of machine learning algorithms to process X-ray microtomographic rock images were determined. The study focused on the use of unsupervised, supervised, and ensemble clustering techniques, to segment X-ray computer microtomography rock images and to estimate the pore spaces and pore size diameters in the rocks. The unsupervised k-means technique gave the fastest processing time and the supervised least squares support vector machine technique gave the slowest processing time. Multiphase assemblages of solid phases (minerals and finely grained minerals) and the pore phase were found on visual inspection of the images. In general, the accuracy in terms of porosity values and pore size distribution was found to be strongly affected by the feature vectors selected. Relative porosity average value of 15.92±1.77% retrieved from all the seven machine learning algorithm is in very good agreement with the experimental results of 17±2%, obtained using gas pycnometer. Of the supervised techniques, the least square support vector machine technique is superior to feed forward artificial neural network because of its ability to identify a generalized pattern. In the ensemble classification techniques boosting technique converged faster compared to bragging technique. The k-means technique outperformed the fuzzy c-means and self-organized maps techniques in terms of accuracy and speed.

  10. End mill tools integration in CNC machining for rapid manufacturing processes: simulation studies

    OpenAIRE

    Muhammed Nafis Osman Zahid; Keith Case; Darren Watts

    2015-01-01

    Computer numerical controlled (CNC) machining has been recognized as a manufacturing process that is capable of producing metal parts with high precision and reliable quality, whereas many additive manufacturing methods are less capable in these respects. The introduction of a new layer-removal methodology that utilizes an indexing device to clamp the workpiece can be used to extend CNC applications into the realm of rapid manufacturing (CNC-RM) processes. This study aims to improve the imple...

  11. End mill tools integration in CNC machining for rapid manufacturing processes: simulation studies

    OpenAIRE

    Muhammed Nafis Osman Zahid; Keith Case; Darren Watts

    2015-01-01

    Computer numerical controlled (CNC) machining has been recognized as a manufacturing process that is capable of producing metal parts with high precision and reliable quality, whereas many additive manufacturing methods are less capable in these respects. The introduction of a new layer-removal methodology that utilizes an indexing device to clamp the workpiece can be used to extend CNC applications into the realm of rapid manufacturing (CNC-RM) processes. This study aims to improve the imple...

  12. Handbook of natural language processing and machine translation DARPA global autonomous language exploitation

    CERN Document Server

    Olive, Joseph P; McCary, John

    2011-01-01

    This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program - The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research pro

  13. Number of Tardy Jobs of Single Machine Scheduling Problem with Variable Processing Time

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    The number of tardy jobs of the single machine scheduling problem with a variable processing time is studied in accordance with the published instances of traffic transportation management engineering. It is proved by 3-partition problem that if the problem is of ready time and common deadline-constrained, its complexity is NP-hard in the strong sense. Finally, a polynomial algorithm for solving unit processing time and common deadline problems is proposed.

  14. 对辊破碎机高锰钢辊轮加工工艺分析%Machining Process Analysis for High Manganese Steel Roller of Roller Crusher

    Institute of Scientific and Technical Information of China (English)

    张磊; 崔守彬; 李宏士

    2013-01-01

    According to the introduction of using requirement for roller crusher structure and high manga -nese steel roller , analyze the feasibility of roller material performance and machining and present the machining process plan for it .Through the application during the production , the feasibility of this plan is tested and verified .%通过对对辊破碎机的结构及其高锰钢辊轮使用要求的介绍,对辊轮的材料性能要求和加工可行性进行了分析,提出了加工工艺方案。通过生产过程中的应用,方案得到了可行性验证。

  15. Strategic planning processes and financial performance among hospitals in Lebanon.

    Science.gov (United States)

    Saleh, Shadi; Kaissi, Amer; Semaan, Adele; Natafgi, Nabil Maher

    2013-01-01

    Strategic planning has been presented as a valuable management tool. However, evidence of its deployment in healthcare and its effect on organizational performance is limited in low-income and middle-income countries (LMICs). The study aimed to explore the use of strategic planning processes in Lebanese hospitals and to investigate its association with financial performance. The study comprised 79 hospitals and assessed occupancy rate (OR) and revenue-per-bed (RPB) as performance measures. The strategic planning process included six domains: having a plan, plan development, plan implementation, responsibility of planning activities, governing board involvement, and physicians' involvement. Approximately 90% of hospitals have strategic plans that are moderately developed (mean score of 4.9 on a 1-7 scale) and implemented (score of 4.8). In 46% of the hospitals, the CEO has the responsibility for the plan. The level of governing board involvement in the process is moderate to high (score of 5.1), whereas physician involvement is lower (score of 4.1). The OR and RPB amounted to respectively 70% and 59 304 among hospitals with a strategic plan as compared with 62% and 33 564 for those lacking such a plan. No statistical association between having a strategic plan and either of the two measures was detected. However, the findings revealed that among hospitals that had a strategic plan, higher implementation levels were associated with lower OR (p plans allow organizations to better cope with environmental turbulence. Copyright © 2012 John Wiley & Sons, Ltd.

  16. Automation of the Marine Corps Planning Process

    Science.gov (United States)

    2014-06-01

    training, education , and doctrine that support C2 (MCWP 3-40.1, 2003). C. INFORMATION THEORY It is important to recognize that information comprises...elevate the importance of using automation. MCDP 1 describes war as a “complex phenomenon” (p.12, para. 2) and continues to explain, “as a result, war is...science elements associated with conducting and planning warfare. A balance between artistic elements, such as creative solutions resulting from an

  17. Sustainable machining

    CERN Document Server

    2017-01-01

    This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.

  18. STUDY OF MACHINING PROCESS MONITORING OF FMS BASED ON TIME SERIES ANALYSIS

    Institute of Scientific and Technical Information of China (English)

    Zhang Libin; Su Jian; Liu Yumei; Jia Yazhou

    2004-01-01

    FMS is a sort of highly automatic machining system,how to ensure part quality is master key to system highly active running.At first, series of machining dimension and process capability of flexible manufacturing system(FMS), is analyzed.Result of its, strong self-correlation of data series shows that time series analysis is applicable to data series analyzed.Based on-line modeling and forecasting for data series, principle and method of feedback compensation control is proposed.On a foundation of the virtual instrument platform, Labview of national instrument (NI), FMS dimension and process capability monitoring system(monitoring system) is developed.In practice, it is proved that part quality and process capability of FMS are greatly improved.

  19. A state machine approach in modelling the heating process of a building

    Energy Technology Data Exchange (ETDEWEB)

    Pakanen, Jouko [Helsinki University of Technology, P.O. Box 3300, FI-02015 TKK Espoo (Finland); Karjalainen, Sami [VTT, P.O. Box 1000, FI-02044 VTT Espoo (Finland)

    2009-05-15

    Process models and their applications have gradually become an integral part of the design, maintenance and automation of modern buildings. The following state machine model outlines a new approach in this area. The heating power described by the model is based on the recent inputs as well as on the past inputs and outputs of the process, thus also representing the states of the system. Identifying the model means collecting, assorting and storing observations, but also effectively utilizing their inherent relationships and nearest neighbours. The last aspect enables to create a uniform set of data, which forms the characteristic, dynamic behaviour of the HVAC process. The state machine model is non-parametric and needs no sophisticated algorithm for identification. It is therefore suitable for small microprocessor devices equipped with a larger memory capacity. The first test runs, performed in a simulated environment, were encouraging and showed good prediction capability. (author)

  20. Quasilinear Extreme Learning Machine Model Based Internal Model Control for Nonlinear Process

    Directory of Open Access Journals (Sweden)

    Dazi Li

    2015-01-01

    Full Text Available A new strategy for internal model control (IMC is proposed using a regression algorithm of quasilinear model with extreme learning machine (QL-ELM. Aimed at the chemical process with nonlinearity, the learning process of the internal model and inverse model is derived. The proposed QL-ELM is constructed as a linear ARX model with a complicated nonlinear coefficient. It shows some good approximation ability and fast convergence. The complicated coefficients are separated into two parts. The linear part is determined by recursive least square (RLS, while the nonlinear part is identified through extreme learning machine. The parameters of linear part and the output weights of ELM are estimated iteratively. The proposed internal model control is applied to CSTR process. The effectiveness and accuracy of the proposed method are extensively verified through numerical results.

  1. Improvement of Quality of a Modern Commercial Silk Mill through effective Process and Machine Control Parameters

    Directory of Open Access Journals (Sweden)

    Dr. Swapan Kumar Ghosh

    2016-08-01

    Full Text Available This paper deals with international and national scenario of commercial production and market share of silk fabrics with particular reference to process along with machine control parameters followed by adoption of good practices in the preparatory stages during production of the silk fabric in a commercial Silk Mill. An observatory report has been presented here for starting from yarn to the fabric stage, which indicates the major technical reasons for deterioration in the quality of the silk products affecting the cost factor and environment to some extent. This paper delineates an effective monitoring and controlling process variables along with machine parameters at every step of production of silk fabric from its filament yarn stage, particularly during the modern high speed silk twisting process, enhancing the quality of the finished product on one hand and minimizing wastage along with the cost of production and adverse environmental impact on the other

  2. Bottle filling machine bottle holder stainless steel prop Process Analysis%灌瓶机不锈钢托瓶支架加工工艺分析

    Institute of Scientific and Technical Information of China (English)

    易忠奇; 陈平华

    2013-01-01

    针对ASY1/20塑料安瓿制瓶、灌装、封口一体机不锈钢托瓶支架零件机械加工工艺方案的确定方法、理论依据及对各加工工序所需的工装夹具设计进行了详细的阐述。同时,在机械加工中不锈钢材质零件属难加工材料,就如何确保零件的加工质量和提高加工效率,对切削用的刀具材料、参数选择及加工工艺进行探讨,并在实际生产中得到了应用,有效的提高产品质量和经济效益。%For ASY1/20 plastic ampoule bottle, filling and sealing machine stainless steel prop bottle holder parts ma-chining process plan determination methods, theoretical basis and the various processing steps required for fixture design was elaborated. Meanwhile, in machining stainless steel parts are difficult to machine materials, on how to ensure part quality and improve processing efficiency, cutting tool material selection and processing parameters are discussed, and in the actual production has been applied, effectively improve the product quality and economic efficiency.

  3. BRICORK: an automatic machine with image processing for the production of corks

    Science.gov (United States)

    Davies, Roger; Correia, Bento A. B.; Carvalho, Fernando D.; Rodrigues, Fernando C.

    1991-06-01

    The production of cork stoppers from raw cork strip is a manual and labour-intensive process in which a punch-operator quickly inspects all sides of the cork strip for defects and decides where to punch out stoppers. He then positions the strip underneath a rotating tubular cutter and punches out the stoppers one at a time. This procedure is somewhat subjective and prone to error, being dependent on the judgement and accuracy of the operator. This paper describes the machine being developed jointly by Mecanova, Laboratorio Nacional de Engenharia e Tecnologia (LNETI) and Empresa de Investiga&sigmafcoe Desenvolvimento de Electronica SA (EID) which automatically processes cork strip introduced by an unskilled operator. The machine uses both image processing and laser inspection techniques to examine the strip. Defects in the cork are detected and categorised in order to determine regions where stoppers may be punched. The precise locations are then automatically optimised for best usage of the raw material (quantity and quality of stoppers). In order to achieve the required speed of production these image processing techniques may be implemented in hardware. The paper presents results obtained using the vision system software under development together with descriptions of both the image processing and mechanical aspects of the proposed machine.

  4. Analysis of process parametersin electro-discharge machining of Tungsten carbideby using taguchi

    Directory of Open Access Journals (Sweden)

    Nonihal Singh Dhakry

    2014-02-01

    Full Text Available In this paper, tries have been made optimize process parameters in Electro-Discharge Machining (EDM of tungsten carbide (WC/CO using copper electrodes to development machining mode based on taguchi techniques. Four independent input parameters discharge current (Amp, pulse-on time (μs, duty cycle (%, and gap voltage (Volt were selected to assess the EDM process performance in terms of material removal rate (MRR: g/min has been used to design and examine the experiments. For each process response, a suitable second order decline equation was set up applying analysis of variance (ANOVA and student t-test procedure to check modeling goodness of fit and select proper forms of influentially significant process variables (main, two-way interaction. The MRR increases by selecting higher discharge current and higher duty cycle which capitals providing greater amounts of discharge energy inside gap region. In this paper we conduct the experiment on maximum possible combination of process parameter (Discharge current, Pulse-on time, Duty cycle,Gap voltage developed by taguchi method and find a set of optimal input parameters with maximum nearby MRR during ED Machining of WC/Co(tungsten carbide-cobalt composite material.

  5. The Science of and Advanced Technology for Cost-Effective Manufacture of High Precision Engineering Products. Volume 5. Automatic Generation of Process Outlines of Forming and Machining Processes.

    Science.gov (United States)

    1986-08-01

    DescoLa ]). However, in view of their classificational characteristics, the majority of ESs should be rather called expert consullation systems. Planning...1, 1984. DescoLa . Descotte, Y. and Latombe, J.C., "GARI: A Problem Solver that Plans How to Machine Mechanical Parts", IJCAI 7, Vancouver, Canada

  6. Machining process influence on the chip form and surface roughness by neuro-fuzzy technique

    Science.gov (United States)

    Anicic, Obrad; Jović, Srđan; Aksić, Danilo; Skulić, Aleksandar; Nedić, Bogdan

    2017-04-01

    The main aim of the study was to analyze the influence of six machining parameters on the chip shape formation and surface roughness as well during turning of Steel 30CrNiMo8. Three components of cutting forces were used as inputs together with cutting speed, feed rate, and depth of cut. It is crucial for the engineers to use optimal machining parameters to get the best results or to high control of the machining process. Therefore, there is need to find the machining parameters for the optimal procedure of the machining process. Adaptive neuro-fuzzy inference system (ANFIS) was used to estimate the inputs influence on the chip shape formation and surface roughness. According to the results, the cutting force in direction of the depth of cut has the highest influence on the chip form. The testing error for the cutting force in direction of the depth of cut has testing error 0.2562. This cutting force determines the depth of cut. According to the results, the depth of cut has the highest influence on the surface roughness. Also the depth of cut has the highest influence on the surface roughness. The testing error for the cutting force in direction of the depth of cut has testing error 5.2753. Generally the depth of cut and the cutting force which provides the depth of cut are the most dominant factors for chip forms and surface roughness. Any small changes in depth of cut or in cutting force which provide the depth of cut could drastically affect the chip form or surface roughness of the working material.

  7. Modeling of the flow stress for AISI H13 Tool Steel during Hard Machining Processes

    Science.gov (United States)

    Umbrello, Domenico; Rizzuti, Stefania; Outeiro, José C.; Shivpuri, Rajiv

    2007-04-01

    In general, the flow stress models used in computer simulation of machining processes are a function of effective strain, effective strain rate and temperature developed during the cutting process. However, these models do not adequately describe the material behavior in hard machining, where a range of material hardness between 45 and 60 HRC are used. Thus, depending on the specific material hardness different material models must be used in modeling the cutting process. This paper describes the development of a hardness-based flow stress and fracture models for the AISI H13 tool steel, which can be applied for range of material hardness mentioned above. These models were implemented in a non-isothermal viscoplastic numerical model to simulate the machining process for AISI H13 with various hardness values and applying different cutting regime parameters. Predicted results are validated by comparing them with experimental results found in the literature. They are found to predict reasonably well the cutting forces as well as the change in chip morphology from continuous to segmented chip as the material hardness change.

  8. Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning.

    Science.gov (United States)

    Cohen, Kevin Bretonnel; Glass, Benjamin; Greiner, Hansel M; Holland-Bouley, Katherine; Standridge, Shannon; Arya, Ravindra; Faist, Robert; Morita, Diego; Mangano, Francesco; Connolly, Brian; Glauser, Tracy; Pestian, John

    2016-01-01

    We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug-resistant pediatric epilepsy. The data are comprised of free-text clinical notes extracted from the electronic health record (EHR). Both known clinical outcomes from the EHR and manual chart annotations provide gold standards for the patient's status. The following hypotheses are then tested: 1) machine learning methods can identify epilepsy surgery candidates as well as physicians do and 2) machine learning methods can identify candidates earlier than physicians do. These hypotheses are tested by systematically evaluating the effects of the data source, amount of training data, class balance, classification algorithm, and feature set on classifier performance. The results support both hypotheses, with F-measures ranging from 0.71 to 0.82. The feature set, classification algorithm, amount of training data, class balance, and gold standard all significantly affected classification performance. It was further observed that classification performance was better than the highest agreement between two annotators, even at one year before documented surgery referral. The results demonstrate that such machine learning methods can contribute to predicting pediatric epilepsy surgery candidates and reducing lag time to surgery referral.

  9. A Strategic Planning Process Model for Distance Education

    Science.gov (United States)

    Pisel, Kenneth P.

    2008-01-01

    As more institutions seek to implement or expand distance learning programs, it becomes critical to integrate distance learning programs into broader strategic visions and plans. Using the informed opinion from a panel of peer-nominated experts via iterative Delphi questionnaires, a 10-phased strategic planning process model for distance education…

  10. A Strategic Planning Process Model for Distance Education

    Science.gov (United States)

    Pisel, Kenneth P.

    2008-01-01

    As more institutions seek to implement or expand distance learning programs, it becomes critical to integrate distance learning programs into broader strategic visions and plans. Using the informed opinion from a panel of peer-nominated experts via iterative Delphi questionnaires, a 10-phased strategic planning process model for distance education…

  11. 44 CFR 78.6 - Flood Mitigation Plan approval process.

    Science.gov (United States)

    2010-10-01

    ... 44 Emergency Management and Assistance 1 2010-10-01 2010-10-01 false Flood Mitigation Plan..., DEPARTMENT OF HOMELAND SECURITY INSURANCE AND HAZARD MITIGATION National Flood Insurance Program FLOOD MITIGATION ASSISTANCE § 78.6 Flood Mitigation Plan approval process. The State POC will forward all...

  12. Organizing an Integrated Planning, Research and Marketing Process.

    Science.gov (United States)

    Spencer, Richard; Dock, Stephen

    Several sets of outlines, charts, and diagrams present an overview of a comprehensive institutional program at Delaware County Community College (DCCC) which incorporates planning, research, and marketing strategies. The first set of documents outlines the objective-based planning process, describes the organizational framework, defines…

  13. Quantifying the Process and Outcomes of Person-Centered Planning.

    Science.gov (United States)

    Holburn, Steve; Jacobson, John W.; Vietze, Peter M.; Schwartz, Allen A.; Sersen, Eugene

    2000-01-01

    This paper considers the measurement of person-centered planning with developmentally disabled individuals. It reports on the development of three instruments to assess person-centered planning and both a process and an outcome index. Psychometric evaluation indicated test-retest reliability and measures of internal consistency were adequate.…

  14. Analysing contemporary metropolitan spatial plans in Europe through their institutional context, instrumental content and planning process

    DEFF Research Database (Denmark)

    Elinbaum, Pablo; Galland, Daniel

    2016-01-01

    concerning the institutional context, instrumental content and planning processes associated with four contemporary metropolitan spatial plans in Europe, namely London, Copenhagen, Paris and Barcelona. Through the results of a multiple case study and a subsequent cross comparative analysis, the article...... to converge in terms of their general themes, they cannot be ultimately “typified” in view of ad hoc variations related to their institutional contexts, instrumental contents and planning processes.......This article sets out to propose and apply a qualitative framework for thinking about how to analyze and compare metropolitan spatial plans in a milieu of divergent spatial planning traditions and discretionary planning practices. In doing so, the article reviews and develops an understanding...

  15. Imperfect preventive maintenance for numerical control machine tools with log-linear virtual age process

    Institute of Scientific and Technical Information of China (English)

    郭俊锋; 芮执元; 冯瑞成; 魏兴春

    2014-01-01

    Based on the log-linear virtual age process, an imperfect preventive maintenance policy for numerical control (NC) machine tools with random maintenance quality is proposed. The proposed model is a combination of the Kijima type virtual age model and the failure intensity adjustment model. Maintenance intervals of the proposed hybrid model are derived when the failure intensity increase factor and the restoration factor are both random variables with uniform distribution. The optimal maintenance policy in infinite time horizon is presented. A numerical example is given when the failures of NC machine tools are described by the log-linear process. Finally, a discussion is presented to show how the optimal results depend on the different cost parameters.

  16. Use of maximum entropy method with parallel processing machine. [for x-ray object image reconstruction

    Science.gov (United States)

    Yin, Lo I.; Bielefeld, Michael J.

    1987-01-01

    The maximum entropy method (MEM) and balanced correlation method were used to reconstruct the images of low-intensity X-ray objects obtained experimentally by means of a uniformly redundant array coded aperture system. The reconstructed images from MEM are clearly superior. However, the MEM algorithm is computationally more time-consuming because of its iterative nature. On the other hand, both the inherently two-dimensional character of images and the iterative computations of MEM suggest the use of parallel processing machines. Accordingly, computations were carried out on the massively parallel processor at Goddard Space Flight Center as well as on the serial processing machine VAX 8600, and the results are compared.

  17. SELECTION OF NON-CONVENTIONAL MACHINING PROCESSES USING THE OCRA METHOD

    Directory of Open Access Journals (Sweden)

    Miloš Madić

    2015-04-01

    Full Text Available Selection of the most suitable nonconventional machining process (NCMP for a given machining application can be viewed as multi-criteria decision making (MCDM problem with many conflicting and diverse criteria. To aid these selection processes, different MCDM methods have been proposed. This paper introduces the use of an almost unexplored MCDM method, i.e. operational competitiveness ratings analysis (OCRA method for solving the NCMP selection problems. Applicability, suitability and computational procedure of OCRA method have been demonstrated while solving three case studies dealing with selection of the most suitable NCMP. In each case study the obtained rankings were compared with those derived by the past researchers using different MCDM methods. The results obtained using the OCRA method have good correlation with those derived by the past researchers which validate the usefulness of this method while solving complex NCMP selection problems.

  18. Plutonium Oxide Process Capability Work Plan

    Energy Technology Data Exchange (ETDEWEB)

    Meier, David E. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Tingey, Joel M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2014-02-28

    Pacific Northwest National Laboratory (PNNL) has been tasked to develop a Pilot-scale Plutonium-oxide Processing Unit (P3U) providing a flexible capability to produce 200g (Pu basis) samples of plutonium oxide using different chemical processes for use in identifying and validating nuclear forensics signatures associated with plutonium production. Materials produced can also be used as exercise and reference materials.

  19. When Machines Design Machines!

    DEFF Research Database (Denmark)

    2011-01-01

    Until recently we were the sole designers, alone in the driving seat making all the decisions. But, we have created a world of complexity way beyond human ability to understand, control, and govern. Machines now do more trades than humans on stock markets, they control our power, water, gas...... and food supplies, manage our elevators, microclimates, automobiles and transport systems, and manufacture almost everything. It should come as no surprise that machines are now designing machines. The chips that power our computers and mobile phones, the robots and commercial processing plants on which we...... depend, all are now largely designed by machines. So what of us - will be totally usurped, or are we looking at a new symbiosis with human and artificial intelligences combined to realise the best outcomes possible. In most respects we have no choice! Human abilities alone cannot solve any of the major...

  20. Machining of Complex Sculptured Surfaces

    CERN Document Server

    2012-01-01

    The machining of complex sculptured surfaces is a global technological topic in modern manufacturing with relevance in both industrialized and emerging in countries particularly within the moulds and dies sector whose applications include highly technological industries such as the automotive and aircraft industry. Machining of Complex Sculptured Surfaces considers new approaches to the manufacture of moulds and dies within these industries. The traditional technology employed in the manufacture of moulds and dies combined conventional milling and electro-discharge machining (EDM) but this has been replaced with  high-speed milling (HSM) which has been applied in roughing, semi-finishing and finishing of moulds and dies with great success. Machining of Complex Sculptured Surfaces provides recent information on machining of complex sculptured surfaces including modern CAM systems and process planning for three and five axis machining as well as explanations of the advantages of HSM over traditional methods ra...

  1. ON THE COMPLETION TIME AND THE INTERRUPTION TIME OF A JOB PROCESSED ON AN UNRELIABLE MACHINE

    Institute of Scientific and Technical Information of China (English)

    YUE Dequan; TU Fengsheng

    2005-01-01

    This paper considers the completion time and the interruption time of a job processed on an unreliable machine.By using the general theory of stochastic orderings,we obtain the closure properties of the distribution of the completion time and the interruption time on L+ and PH life distribution classes.We get an exponential bound for the tail probability of the interruption time.

  2. Using an FPGA-Based Processing Platform in an Industrial Machine Vision System

    OpenAIRE

    King, William E

    1998-01-01

    This thesis describes the development of a commercial machine vision system as a case study for utilizing the Modular Reprogrammable Real-time Processing Hardware (MORRPH) board. The commercial system described in this thesis is based on a prototype system that was developed as a test-bed for developing the necessary concepts and algorithms. The prototype system utilized color linescan cameras, custom framegrabbers, and standard PCs to color-sort red oak parts (staves). When a furniture ma...

  3. Kinematic Analysis of Cpm Machine Supporting to Rehabilitation Process after Surgical Knee Arthroscopy and Arthroplasty

    Science.gov (United States)

    Trochimczuk, R.; Kuźmierowski, T.

    2014-11-01

    Existing commercial solutions of the CPM (Continuous Passive Motion) machines are described in the paper. Based on the analysis of existing solutions we present our conceptual solution to support the process of rehabilitation of the knee joint which is necessary after arthroscopic surgery. For a given novel structure we analyze and present proprietary algorithms and the computer application to simulate the operation of our PCM device. In addition, we suggest directions for further research.

  4. Constellation Mission Operation Working Group: ESMO Maneuver Planning Process Review

    Science.gov (United States)

    Moyer, Eric

    2015-01-01

    The Earth Science Mission Operation (ESMO) Project created an Independent Review Board to review our Conjunction Risk evaluation process and Maneuver Planning Process to identify improvements that safely manages mission conjunction risks, maintains ground track science requirements, and minimizes overall hours expended on High Interest Events (HIE). The Review Board is evaluating the current maneuver process which requires support by multiple groups. In the past year, there have been several changes to the processes although many prior and new concerns exist. This presentation will discuss maneuver process reviews and Board comments, ESMO assessment and path foward, ESMO future plans, recent changes and concerns.

  5. Evaluation of participatory planning: Lessons from Hungarian Natura 2000 management planning processes.

    Science.gov (United States)

    Kovács, Eszter; Kelemen, Eszter; Kiss, Gabriella; Kalóczkai, Ágnes; Fabók, Veronika; Mihók, Barbara; Megyesi, Boldizsár; Pataki, György; Bodorkós, Barbara; Balázs, Bálint; Bela, Györgyi; Margóczi, Katalin; Roboz, Ágnes; Molnár, Dániel

    2017-09-18

    Stakeholder participation in nature conservation policies and especially in the management of protected areas has gained importance in the last decades. These changes are underlined by democratic principles and the perceived contribution of stakeholder involvement to the effectiveness of conservation management. Evaluating participatory processes is essential to learn about the past and thus increase the quality of future processes. The evaluation can be useful for the organisations responsible for planning and management, stakeholders and policy makers as well. The present paper shows the results of a systematic evaluation of 25 participatory processes related to the development of management plans for Natura 2000 sites in Hungary between 2007 and 2015. A conceptual framework was developed to evaluate the process and outcome of participatory management planning processes. Criteria were based on the scientific literature on public participation and tailored to conservation-related management planning and stakeholder involvement. Evaluated processes were grouped in three cases based on their time range and financial sources. Overall, the analysed processes scored at a medium level, showing better performance in the process criteria than in the outcome criteria. The best case scored significantly higher in four criteria compared to the other cases: representativeness, resource availability for facilitation, new, creative ideas and impact on the plan. The main factors behind the success were (1) embeddedness of the planning process in a larger project, where the plan was a tool for conservation, (2) carrying out only one process at a time, (3) previous experience of facilitators and planners with participatory planning and (4) the opportunity and capacity to propose a payment scheme as an incentive. But even this case received low scores in some criteria: conflict resolution, early involvement and well defined goals. Based on the results we suggest that more data is

  6. Estimation of the resource buffers in the assembly process of a shearer machine in the CPPM method

    Directory of Open Access Journals (Sweden)

    Gwiazda Aleksander

    2017-01-01

    Full Text Available Dynamic development of scheduling systems allows significantly improving currently realized tasks. Critical Chain Project Management (CCPM is one of the methods of project management basing on network planning. In this method is utilized the concept of a critical chain derived from the Theory of Constraints. This method allows avoiding losses considered project time and resources. It results in quicker project implementation (20-30%, and in reducing the risk level considered with tasks realization. The projects are cheaper, and the risk of cost overruns is significantly reduced. Factors that distinguish CCPM method from traditional network planning methods are: the balance of resources and the introduction of buffers. Moreover in the CCPM method key elements are: times of tasks that are reduced from traditional estimates to realistic ones. Activities associated with the task start as late as possible in accordance with the ALAP principle (As Late As Possible. This work presents the process of managing the assembly of a shearer machine taking into account the process of safety buffers utilization and the whole project optimization. It is presented the estimation of buffers capacity to obtain the improvement of project realization task.

  7. New model of enterprises resource planning implementation planning process in manufacturing enterprises

    Directory of Open Access Journals (Sweden)

    Mirjana Misita

    2016-05-01

    Full Text Available This article presents new model of enterprises resource planning implementation planning process in manufacturing enterprises based on assessment of risk sources. This assessment was performed by applying analytic hierarchy process. Analytic hierarchy process method allows variation of relative importance of specific risk sources dependent on the section from which the risk source originates (organizational environment, technical issues, people issues, adoption process management, and external support. Survey was conducted on 85 manufacturing enterprises involved with an enterprises resource planning solution. Ranking of risk sources assessments returns most frequent risks of enterprises resource planning implementation success in manufacturing enterprises, and representative factors were isolated through factor analysis by risk source origin. Finally, results indicate that there are hidden causes of failed implementation, for example, risk source “top management training and education,” from risk origin “adoption process management.”

  8. Resource Planning for Massive Number of Process Instances

    Science.gov (United States)

    Xu, Jiajie; Liu, Chengfei; Zhao, Xiaohui

    Resource allocation has been recognised as an important topic for business process execution. In this paper, we focus on planning resources for a massive number of process instances to meet the process requirements and cater for rational utilisation of resources before execution. After a motivating example, we present a model for planning resources for process instances. Then we design a set of heuristic rules that take both optimised planning at build time and instance dependencies at run time into account. Based on these rules we propose two strategies, one is called holistic and the other is called batched, for resource planning. Both strategies target a lower cost, however, the holistic strategy can achieve an earlier deadline while the batched strategy aims at rational use of resources. We discuss how to find balance between them in the paper with a comprehensive experimental study on these two approaches.

  9. Studying and Modeling the Effect of Graphite Powder Mixing Electrical Discharge Machining on the Main Process Characteristics

    Directory of Open Access Journals (Sweden)

    Ahmed N. Al-Khazraji

    2015-09-01

    Full Text Available This paper concerned with study the effect of a graphite micro powder mixed in the kerosene dielectric fluid during powder mixing electric discharge machining (PMEDM of high carbon high chromium AISI D2 steel. The type of electrode (copper and graphite, the pulse current and the pulse-on time and mixing powder in kerosene dielectric fluid are taken as the process main input parameters. The material removal rate MRR, the tool wear ratio TWR and the work piece surface roughness (SR are taken as output parameters to measure the process performance. The experiments are planned using response surface methodology (RSM design procedure. Empirical models are developed for MRR, TWR and SR, using the analysis of variance (ANOVA.The best results for the productivity of the process (MRR obtained when using the graphite electrodes, the pulse current (22 A, the pulse on duration (120 µs and using the graphite powder mixing in kerosene dielectric reaches (82.84mm³/min. The result gives an improvement in material removal rate of (274% with respect to the corresponding value obtained when copper electrodes with kerosene dielectric alone. The best results for the tool wear ratio (TWR of the process obtained when using the copper electrodes, the pulse current (8 A, the pulse on duration (120 µs and using the kerosene dielectric alone reaches (0.31 %. The use of graphite electrodes, the kerosene dielectric with 5g/l graphite powder mixing, the pulse current (8 A, the pulse on duration (40 µs give the best surface roughness of a value (2.77 µm.This result yields an improvement in SR by (141% with respect to the corresponding value obtained when using copper electrodes and the kerosene dielectric alone with the same other parameters and machining conditions.

  10. Towards an integration of process planning and production planning and control for flexible manufacturing systems

    NARCIS (Netherlands)

    Gaalman, GJC; Slomp, J; Suresh, NC

    1999-01-01

    This introduction article attempts to present some major issues relating to the integration of process planning and production planning and control (PPC) for flexible manufacturing systems (FMSs). It shows that the performance of an FMS can be significantly improved and FMS capabilities more effecti

  11. Towards an integration of process planning and production planning and control for flexible manufacturing systems

    NARCIS (Netherlands)

    Gaalman, GJC; Slomp, J; Suresh, NC

    This introduction article attempts to present some major issues relating to the integration of process planning and production planning and control (PPC) for flexible manufacturing systems (FMSs). It shows that the performance of an FMS can be significantly improved and FMS capabilities more

  12. Planning with Shared Vision: A Project Study Examining the Planning Process of School Principals

    Science.gov (United States)

    King, Dennis J.

    2013-01-01

    The process of planning for school principals has become more difficult in recent years because of a shift from simple administrative duties to management duties. Evidence suggests that many school principals lack the resources, training, and guidance to meet and sustain federal planning standards. This problem is important to district…

  13. Planning with Shared Vision: A Project Study Examining the Planning Process of School Principals

    Science.gov (United States)

    King, Dennis J.

    2013-01-01

    The process of planning for school principals has become more difficult in recent years because of a shift from simple administrative duties to management duties. Evidence suggests that many school principals lack the resources, training, and guidance to meet and sustain federal planning standards. This problem is important to district…

  14. Development of atmospheric pressure plasma processing machine tool for large aperture optics

    Science.gov (United States)

    Su, Xing; Wu, Yangong; Zhang, Peng; Xin, Qiang; Wang, Bo

    2016-10-01

    In recent years, major projects, such as National Ignition Facility and Laser Mégajoule, have generated great demands for large aperture optics with high surface accuracy and low Subsurface Damage (SSD) at the mean time. In order to remove SSD and improve surface quality, optics is fabricated by sub-aperture polishing. However, the efficiency of the sub-aperture polishing has been a bottleneck step for the optics manufacturing. Atmospheric Pressure Plasma Processing (APPP) as an alternate method offers high potential for speeding up the polishing process. This technique is based on chemical etching, hence there is no physical contact and no damage is induced. In this paper, a fast polishing machine tool is presented which is designed for fast polishing of the large aperture optics using APPP. This machine tool employs 3PRS-XY hybrid structure as its framework. There is a platform in the 3PRS parallel module to support the plasma generating system. And the large work piece is placed on the XY stage. In order to realize the complex motion trajectory for polishing the freeform optics, five axis of the tool operate simultaneously. To overcome the complexity of inverse kinematics calculation, a dedicated motion control system is also designed for speeding up the motion response. For high removal rate, the individual influence of several key processing parameters is investigated. And under specific production condition, this machine tool offers a high material over 30mm3/min for fused silica substrates. This results shows that APPP machine tool has a strong potential for fast polishing large optics without introducing SSD.

  15. Optical navigation planning process for the Cassini Solstice Mission

    Science.gov (United States)

    Nolet, Simon; Gillam, Stephen D.; Jones, Jeremy B.

    2011-01-01

    During the Cassini Equinox Mission, the Optical Navigation strategy has gradually evolved toward maintenance of an acceptable level of uncertainty on the positions of the bodies to be observed. By counteracting the runoff of the uncertainty over time, this strategy helps satisfy the spacecraft pointing requirements throughout the Solstice Mission, while considerably reducing the required imaging frequency. Requirements for planning observations were established, and the planning process itself was largely automated to facilitate re-planning if it becomes necessary. This paper summarizes the process leading to the optical navigation schedule for the seven years of the Solstice Mission.

  16. Optical navigation planning process for the Cassini Solstice Mission

    Science.gov (United States)

    Nolet, Simon; Gillam, Stephen D.; Jones, Jeremy B.

    2011-01-01

    During the Cassini Equinox Mission, the Optical Navigation strategy has gradually evolved toward maintenance of an acceptable level of uncertainty on the positions of the bodies to be observed. By counteracting the runoff of the uncertainty over time, this strategy helps satisfy the spacecraft pointing requirements throughout the Solstice Mission, while considerably reducing the required imaging frequency. Requirements for planning observations were established, and the planning process itself was largely automated to facilitate re-planning if it becomes necessary. This paper summarizes the process leading to the optical navigation schedule for the seven years of the Solstice Mission.

  17. EMAT weld inspection and weld machine diagnostic system for continuous coil processing lines

    Science.gov (United States)

    Latham, Wayne M.; MacLauchlan, Daniel T.; Geier, Dan P.; Lang, Dennis D.

    1996-11-01

    Weld breaks of steel coil during cold rolling and continuous pickling operations are a significant source of lost productivity and product yield. Babcock and Wilcox Innerspec Technologies has developed a weld process control system which monitors the key variables of the welding process and determines the quality of the welds generated by flash butt welding equipment. This system is known as the Temate 2000 Automated Flash Butt Weld Inspection and Weld Machine Diagnostic System. The Temate 2000 system utilizes electro- magnetic acoustic transducer (EMAT) technology as the basis for performing on-line, real-time, nondestructive weld quality evaluation. This technique accurately detects voids, laps, misalignment and over/under trim conditions in the weld. Results of the EMAT weld inspection are immediately presented to the weld machine operator for disposition. Welding process variables such as voltage, current, platen movements and upset pressures are monitored and collected with the high speed data acquisition system. This data is processed and presented in real-time display to indicate useful welding process information such as platen crabbing, upset force, peak upset current, and many others. Alarming for each variable is provided and allows detailed maintenance reports and summary information to be generated. All weld quality and process parameter data are stored, traceable to each unique weld, and available for post process evaluation. Installation of the Temate 2000 system in a major flat rolled steel mill has contributed to near elimination of weld breakage and increased productivity at this facility.

  18. Building a team through a strategic planning process.

    Science.gov (United States)

    Albert, Debra; Priganc, Dave

    2014-01-01

    Strategic planning is a process often left to senior hospital leadership, with limited input from unit-level, bedside patient care providers. This frequent approach to strategic planning misses the opportunity to engage a wide range of employees, build a shared sense of commitment, produce a collaborative team environment, and to generate greater acceptance of the plan. The Patient Care Services division at the University of Chicago Medicine used a strategic planning process that incorporated 360-degree input from both within the Patient Care Services division and outside of the division. The result is a strategic vision and plan that, shaped by broad-based input from both internal and external constituencies, is strengthened by the team that emerged from the process. Through the process of identifying a common understanding of the group's future direction, a shared purpose was created that transcended traditional professional boundaries and shaped a cohesive team focused on effective and efficient patient care. Now, with a focused strategic plan and a team centered on a shared purpose, the team is beginning to effectively deliver on the plan.

  19. Mechanical properties of white layers formed by different machining processes on nickel-based superalloy

    Science.gov (United States)

    Proust, Edouard

    Nickel-based superalloys are widely used in the aerospace industry in the production of turbine discs and blades because of their good mechanical properties and great corrosion resistance at high temperature. Although very useful, these alloys are hard to machine. Their structure is responsible for rapid wear of cutting tools. Moreover, under certain machining conditions, near-surface regions of the material undergo a phase transformation resulting in the formation of a thin layer called "white etching layer" at the surface of the machined workpiece. Because turbine discs are safety critical components, no defects can be tolerated on the workpiece. Therefore, efforts should be made to ensure that this white etching layer can't influence the operating life of the workpiece and make its operation unsafe. Even if the existence of the white etching layer is well known, its mechanical properties have never been assessed in detail. In this thesis, we present a study of the mechanical (hardness and Young's modulus) and microstructural properties of white etching layers formed at the surface of nickel-based superalloy IN100 turbine discs fabricated by different machining processes. This work aims at evaluating the impact of the machining process and of fatigue on the properties of the white etching layers under study. The originality of this study primarily lies in the employed characterization technique. Using nanoindentation has allowed us to very precisely assess the variations of both the hardness and the Young's modulus along the white etching layers. Also, the use of a sophisticated indentation system has enabled the acquisition of very precise surface images of the samples and therefore to study the microstructure of the white etching layers. This research has demonstrated that the mechanical and microstructural properties of the white etching layers are closely linked to the machining conditions of the material. Therefore, our study will help researchers gain a

  20. Implementation of Real-Time Machining Process Control Based on Fuzzy Logic in a New STEP-NC Compatible System

    Directory of Open Access Journals (Sweden)

    Po Hu

    2016-01-01

    Full Text Available Implementing real-time machining process control at shop floor has great significance on raising the efficiency and quality of product manufacturing. A framework and implementation methods of real-time machining process control based on STEP-NC are presented in this paper. Data model compatible with ISO 14649 standard is built to transfer high-level real-time machining process control information between CAPP systems and CNC systems, in which EXPRESS language is used to define new STEP-NC entities. Methods for implementing real-time machining process control at shop floor are studied and realized on an open STEP-NC controller, which is developed using object-oriented, multithread, and shared memory technologies conjunctively. Cutting force at specific direction of machining feature in side mill is chosen to be controlled object, and a fuzzy control algorithm with self-adjusting factor is designed and embedded in the software CNC kernel of STEP-NC controller. Experiments are carried out to verify the proposed framework, STEP-NC data model, and implementation methods for real-time machining process control. The results of experiments prove that real-time machining process control tasks can be interpreted and executed correctly by the STEP-NC controller at shop floor, in which actual cutting force is kept around ideal value, whether axial cutting depth changes suddenly or continuously.

  1. Adaptive control of machining process based on extended entropy square error and wavelet neural network

    Institute of Scientific and Technical Information of China (English)

    LAI Xing-yu; YE Bang-yan; LI Wei-guang; YAN Chun-yan

    2007-01-01

    Combining information entropy and wavelet analysis with neural network, an adaptive control system and an adaptive control algorithm are presented for machining process based on extended entropy square error (EESE) and wavelet neural network (WNN). Extended entropy square error function is defined and its availability is proved theoretically. Replacing the mean square error criterion of BP algorithm with the EESE criterion, the proposed system is then applied to the on-line control of the cutting force with variable cutting parameters by searching adaptively wavelet base function and self adjusting scaling parameter, translating parameter of the wavelet and neural network weights. Simulation results show that the designed system is of fast response,non-overshoot and it is more effective than the conventional adaptive control of machining process based on the neural network. The suggested algorithm can adaptively adjust the feed rate on-line till achieving a constant cutting force approaching the reference force in varied cutting conditions, thus improving the machining efficiency and protecting the tool.

  2. Design and Analysis of a Sensor System for Cutting Force Measurement in Machining Processes.

    Science.gov (United States)

    Liang, Qiaokang; Zhang, Dan; Coppola, Gianmarc; Mao, Jianxu; Sun, Wei; Wang, Yaonan; Ge, Yunjian

    2016-01-07

    Multi-component force sensors have infiltrated a wide variety of automation products since the 1970s. However, one seldom finds full-component sensor systems available in the market for cutting force measurement in machine processes. In this paper, a new six-component sensor system with a compact monolithic elastic element (EE) is designed and developed to detect the tangential cutting forces Fx, Fy and Fz (i.e., forces along x-, y-, and z-axis) as well as the cutting moments Mx, My and Mz (i.e., moments about x-, y-, and z-axis) simultaneously. Optimal structural parameters of the EE are carefully designed via simulation-driven optimization. Moreover, a prototype sensor system is fabricated, which is applied to a 5-axis parallel kinematic machining center. Calibration experimental results demonstrate that the system is capable of measuring cutting forces and moments with good linearity while minimizing coupling error. Both the Finite Element Analysis (FEA) and calibration experimental studies validate the high performance of the proposed sensor system that is expected to be adopted into machining processes.

  3. A Review on Optimization of Process Parameters for Improving Performance in Electrical Discharge Machining

    Directory of Open Access Journals (Sweden)

    Viral B. Prajapati

    2014-02-01

    Full Text Available The correct selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM. It is a capable of machining geometrically complex or hard material components, that are precise and difficult-to-machine such as heat treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels etc. being widely used in die and mold making industries, aerospace, aeronautics and nuclear industries. From the point of view of industrial applications, SS 410 is a very important material and that’s why for the purpose of experimentation SS 410 with copper electrode and EDM oil as dielectric has been used In the present work. I will take input parameter discharge current, pulse on time and pulse off time. Design of Experiment (DOE with full factorial design has been explored to produce 27 specimens on SS 410 by edm operation. MRR will be calculated from MRR equation and software available for it and then compare it. Collected data related to surface roughness have been utilized for optimization.

  4. Design and Analysis of a Sensor System for Cutting Force Measurement in Machining Processes

    Directory of Open Access Journals (Sweden)

    Qiaokang Liang

    2016-01-01

    Full Text Available Multi-component force sensors have infiltrated a wide variety of automation products since the 1970s. However, one seldom finds full-component sensor systems available in the market for cutting force measurement in machine processes. In this paper, a new six-component sensor system with a compact monolithic elastic element (EE is designed and developed to detect the tangential cutting forces Fx, Fy and Fz (i.e., forces along x-, y-, and z-axis as well as the cutting moments Mx, My and Mz (i.e., moments about x-, y-, and z-axis simultaneously. Optimal structural parameters of the EE are carefully designed via simulation-driven optimization. Moreover, a prototype sensor system is fabricated, which is applied to a 5-axis parallel kinematic machining center. Calibration experimental results demonstrate that the system is capable of measuring cutting forces and moments with good linearity while minimizing coupling error. Both the Finite Element Analysis (FEA and calibration experimental studies validate the high performance of the proposed sensor system that is expected to be adopted into machining processes.

  5. Some trends in man-machine interface design for industrial process plants

    DEFF Research Database (Denmark)

    Rasmussen, Jens

    1980-01-01

    The demands for an efficient and reliable man-machine inter-face in industrial process plant are increasing due to the steadily growing size and complexity of installations. At the same time, computerized technology offers the possibility of powerful and effective solutions to designers....... In the paper, problems related to interface design, operator training and human reliability are discussed in the light of this technological development, and an integrated approach to system design based on a consistent model or framework describing the man-machine interaction is advocated.The work presented...... is part of a Scandinavian research project sponsored by the Board of Nordic Ministers, for the study of control room design and human reliability in nuclear power plants....

  6. Limitations Of The Current State Space Modelling Approach In Multistage Machining Processes Due To Operation Variations

    Science.gov (United States)

    Abellán-Nebot, J. V.; Liu, J.; Romero, F.

    2009-11-01

    The State Space modelling approach has been recently proposed as an engineering-driven technique for part quality prediction in Multistage Machining Processes (MMP). Current State Space models incorporate fixture and datum variations in the multi-stage variation propagation, without explicitly considering common operation variations such as machine-tool thermal distortions, cutting-tool wear, cutting-tool deflections, etc. This paper shows the limitations of the current State Space model through an experimental case study where the effect of the spindle thermal expansion, cutting-tool flank wear and locator errors are introduced. The paper also discusses the extension of the current State Space model to include operation variations and its potential benefits.

  7. Analysis of Aluminium Nano Composites using Anova in CNC Machining Process

    Directory of Open Access Journals (Sweden)

    Maria Joe Christopher Poonthota Irudaya Raj

    2013-08-01

    Full Text Available The Objective of this work is to reinforce the Aluminum alloy with CNT by Stir Casting Method in different weight percentage of CNT was added to Aluminium separately to make composites and it physical and thermal properties have been investigated using test like tensile, hardness, Micro Structure and XRD. The improvement of mechanical, Physical and thermal properties for both the cases has been compared with pure aluminum. The TAGUCHI – ORTHOGONAL ARRAY experimental technique is used to optimize the machining parameters. The predicted surface roughness was estimated using S/N ratio and compared with actual values. ANOVA analysis is used to find the significant factors affecting the machining process in order to improve the surface characteristics of Al Material.

  8. Expert,Neural and Fuzzy Systems in Process Planning

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    Computer aided process planning (CAPP) aims at improving efficiency, quali t y, and productivity in a manufacturing concern through reducing lead-times and costs by utilizing better manufacturing practices thus improving competitiveness in the market. CAPP attempts to capture the thoughts and methods of the experie nced process planner. Variant systems are understandable, generative systems can plan new parts. Expert systems increase flexibility, fuzzy logic captures vague knowledge while neural networks learn. The combination of fuzzy, neural and exp ert system technologies is necessary to capture and utilize the process planning logic. A system that maintains the dependability and clarity of variant systems , is capable of planning new parts, and improves itself through learning is neede d by industry.

  9. Designing a Repetitive Group Sampling Plan for Weibull Distributed Processes

    Directory of Open Access Journals (Sweden)

    Aijun Yan

    2016-01-01

    Full Text Available Acceptance sampling plans are useful tools to determine whether the submitted lots should be accepted or rejected. An efficient and economic sampling plan is very desirable for the high quality levels required by the production processes. The process capability index CL is an important quality parameter to measure the product quality. Utilizing the relationship between the CL index and the nonconforming rate, a repetitive group sampling (RGS plan based on CL index is developed in this paper when the quality characteristic follows the Weibull distribution. The optimal plan parameters of the proposed RGS plan are determined by satisfying the commonly used producer’s risk and consumer’s risk at the same time by minimizing the average sample number (ASN and then tabulated for different combinations of acceptance quality level (AQL and limiting quality level (LQL. The results show that the proposed plan has better performance than the single sampling plan in terms of ASN. Finally, the proposed RGS plan is illustrated with an industrial example.

  10. Environmentally Friendly Machining

    CERN Document Server

    Dixit, U S; Davim, J Paulo

    2012-01-01

    Environment-Friendly Machining provides an in-depth overview of environmentally-friendly machining processes, covering numerous different types of machining in order to identify which practice is the most environmentally sustainable. The book discusses three systems at length: machining with minimal cutting fluid, air-cooled machining and dry machining. Also covered is a way to conserve energy during machining processes, along with useful data and detailed descriptions for developing and utilizing the most efficient modern machining tools. Researchers and engineers looking for sustainable machining solutions will find Environment-Friendly Machining to be a useful volume.

  11. Effect of Forging Allowance Value on the Power Consumption of Machining Process

    Directory of Open Access Journals (Sweden)

    L. D. Mal'kova

    2015-01-01

    Full Text Available The paper aim is to develop and study possible energy-efficiency measures for machined forgings drawing on analysis of the impact of the allowance for machining and its scatter.The most sophisticated option to take into consideration the effect of the cut depth is the work-piece machining in which the forging allowance value results from the blank production.Research of power consumption was conducted for turning the cylindrical surface of 144 mm length and  1,5 33 0,5   diameter on forgings of the work-pieces "screw of steering control" made from steel 60PP. A radial dimension allowance at said cylindrical surface at six points of the five sections was sized to assess the allowance value dispersion. The size of the sample measurements at the control points was n = 600. Statistic processing has shown normal law of distribution and sample homogeneity.To analyze the results of experiments was calculated a range of allowances for this workpiece. Calculated minimum and maximum allowance per one side for rough lathing were, respectively, 0.905 mm and 1.905mm. It was found that 77% points under control lie in calculated range of allowance values. And there are no points out of the range on lesser side that proves a lack of rejects; but there are points out of the range on the bigger side, that will require additional costs for machining the specified surface, including the cost of electricity.There were three power consumption calculations based on factory- recommended duty: for processing the entire sample of forgings with an average allowance, for machining forgings allowances of which are within the recommended design range of allowance, and for processing the entire sample of forgings with a minimum value of allowance.It was found that elimination of allowance values which are outside the recommended range enables to reduce the power consumption, at least, by 6%, and the overall power consumption for processing the measured forgings

  12. Newly Developed Software Application for Multiple Access Process Planning

    Directory of Open Access Journals (Sweden)

    Katarina Monkova

    2014-11-01

    Full Text Available The purchase of a complex system for computer aided process planning (CAPP can be expensive for little and some middle sized plants, sometimes an inaccessible investment, with a long recoupment period. According to this fact and the author's experience with Eastern European plants, they decided to design a new database application which is suitable for production, stock, and economic data holding as well as processing and exploitation within the manufacturing process. The application can also be used to process a plan according to the selected criteria, for technological documentation and NC program creation. It was based on the theory of a multivariant approach to computer aided plan generation. Its fundamental features, the internal mathematical structure and new code system of processed objects, were prepared by the authors. The verification of the designed information system in real practice has shown that it enables about 30% cost and production time reduction and decreases input material assortment variability.

  13. 4th Machining Innovations Conference

    CERN Document Server

    2014-01-01

    This contributed volume contains the research results presented at the 4th Machining Innovations Conference, Hannover, September 2013. The topic of the conference are new production technologies in aerospace industry and the focus is on energy efficient machine tools as well as sustainable process planning. The target audience primarily comprises researchers and experts in the field but the book may also be beneficial for graduate students.

  14. End-of-life planning activities: an integrated process.

    Science.gov (United States)

    Kelly, Christopher M; Masters, Julie L; DeViney, Stanley

    2013-07-01

    This study examined end-of-life planning and whether common characteristics predicted completion of these decisions. Participants in the Nebraska End-of-Life Survey were asked whether they had heard about or completed five plans: a health care power of attorney agreement, a living will, a last will and testament, funeral or burial preplanning, and organ and tissue donation. Logistic regression was used to identify predictors of these outcomes. Predictors of completing end-of-life plans, including funeral and burial preplanning, included older age, higher household income, and higher religiosity. This suggests that all of these decisions may be part of an integrated planning process at the end of life. Further, results from this study indicate that the role of religiosity, found in this study to predict both financial and health care planning, warrants further exploration.

  15. City Labs as Vehicles for Innovation in Urban Planning Processes

    Directory of Open Access Journals (Sweden)

    Christian Scholl

    2016-12-01

    Full Text Available This paper assesses the role of urban experiments for local planning processes through a case-based analysis of the city lab of Maastricht. In conjunction with this, the article offers three contributions, as additional elements. Firstly, the paper develops a set of defining characteristics of city labs as an analytical concept which is relevant for discussions about (collaborative planning. Secondly, it refines the literature on collaborative planning by drawing attention to experimentation and innovation. Thirdly, the paper assesses the potential of city labs to contribute to the innovation of urban governance. The work draws from the literature on experimentation and learning as well as the literature on collaborative urban planning. In the conclusions, we discuss the potential of city labs as vehicles for learning about new urban planning approaches and their limitations as spaces for small-scale experimentation. The paper is based on research for the URB@Exp research project funded by JPI Urban Europe.

  16. City Labs as Vehicles for Innovation in Urban Planning Processes

    Directory of Open Access Journals (Sweden)

    Christian Scholl

    2016-12-01

    Full Text Available This paper assesses the role of urban experiments for local planning processes through a case-based analysis of the city lab of Maastricht. In conjunction with this, the article offers three contributions, as additional elements. Firstly, the paper develops a set of defining characteristics of city labs as an analytical concept which is relevant for discussions about (collaborative planning. Secondly, it refines the literature on collaborative planning by drawing attention to experimentation and innovation. Thirdly, the paper assesses the potential of city labs to contribute to the innovation of urban governance. The work draws from the literature on experimentation and learning as well as the literature on collaborative urban planning. In the conclusions, we discuss the potential of city labs as vehicles for learning about new urban planning approaches and their limitations as spaces for small-scale experimentation. The paper is based on research for the URB@Exp research project funded by JPI Urban Europe.

  17. Predictive Models for Different Roughness Parameters During Machining Process of Peek Composites Using Response Surface Methodology

    Directory of Open Access Journals (Sweden)

    Mata-Cabrera Francisco

    2013-10-01

    Full Text Available Polyetheretherketone (PEEK composite belongs to a group of high performance thermoplastic polymers and is widely used in structural components. To improve the mechanical and tribological properties, short fibers are added as reinforcement to the material. Due to its functional properties and potential applications, it’s impor- tant to investigate the machinability of non-reinforced PEEK (PEEK, PEEK rein- forced with 30% of carbon fibers (PEEK CF30, and reinforced PEEK with 30% glass fibers (PEEK GF30 to determine the optimal conditions for the manufacture of the parts. The present study establishes the relationship between the cutting con- ditions (cutting speed and feed rate and the roughness (Ra , Rt , Rq , Rp , by develop- ing second order mathematical models. The experiments were planned as per full factorial design of experiments and an analysis of variance has been performed to check the adequacy of the models. These state the adequacy of the derived models to obtain predictions for roughness parameters within ranges of parameters that have been investigated during the experiments. The experimental results show that the most influence of the cutting parameters is the feed rate, furthermore, proved that glass fiber reinforcements produce a worse machinability.

  18. A key to success: optimizing the planning process

    Science.gov (United States)

    Turk, Huseyin; Karakaya, Kamil

    2014-05-01

    By adopting The NATO Strategic Concept Document in 2010, some important changes in the perception of threat and management of crisis were introduced. This new concept, named ''Comprehensive Approach'', includes the precautions of pre-crisis management, applications of crisis-duration management and reconstruction phase of post-intervention management. NATO will be interested in not only the political and military options , but also social, economical and informational aspects of crisis. NATO will take place in all phases of conflict. The conflicts which occur outside the borders of NATO's nations and terrorism are perceived as threat sources for peace and stability. In addition to conventional threats, cyber attacks which threaten network-supported communication systems, preventing applications from accessing to space that will be used in different fields of life. On the other hand, electronic warfare capabilities which can effect us negatively are added to threat list as new threats. In the process in which military is thought as option, a harder planning phase is waiting for NATO's decision makers who struggle for keeping peace and security. Operation planning process which depends on comprehensive approach, contains these steps: Situational awareness of battlefield, evaluation of the military intervention options, orientation, developing an operation plan, reviewing the plan and transition phases.1 To be successful in theater which is always changing with the technological advances, there has to be an accurate and timely planning on the table. So, spending time for planning can be shown as one of the biggest problem. In addition, sustaining situational awareness which is important for the whole operation planning process, technical command and control hitches, human factor, inability to determine the center of gravity of opponent in asymmetrical threat situations can be described as some of the difficulties in operation planning. In this study, a possible air

  19. Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.

    Science.gov (United States)

    Liu, Wenbo; Li, Ming; Yi, Li

    2016-08-01

    The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repeatedly discovered by previous research. The present study examined whether their face scanning patterns could be potentially useful to identify children with ASD by adopting the machine learning algorithm for the classification purpose. Particularly, we applied the machine learning method to analyze an eye movement dataset from a face recognition task [Yi et al., 2016], to classify children with and without ASD. We evaluated the performance of our model in terms of its accuracy, sensitivity, and specificity of classifying ASD. Results indicated promising evidence for applying the machine learning algorithm based on the face scanning patterns to identify children with ASD, with a maximum classification accuracy of 88.51%. Nevertheless, our study is still preliminary with some constraints that may apply in the clinical practice. Future research should shed light on further valuation of our method and contribute to the development of a multitask and multimodel approach to aid the process of early detection and diagnosis of ASD. Autism Res 2016, 9: 888-898. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.

  20. Automatic Mapping Of Large Signal Processing Systems To A Parallel Machine

    Science.gov (United States)

    Printz, Harry; Kung, H. T.; Mummert, Todd; Scherer, Paul M.

    1989-12-01

    Since the spring of 1988, Carnegie Mellon University and the Naval Air Development Center have been working together to implement several large signal processing systems on the Warp parallel computer. In the course of this work, we have developed a prototype of a software tool that can automatically and efficiently map signal processing systems to distributed-memory parallel machines, such as Warp. We have used this tool to produce Warp implementations of small test systems. The automatically generated programs compare favorably with hand-crafted code. We believe this tool will be a significant aid in the creation of high speed signal processing systems. We assume that signal processing systems have the following characteristics: •They can be described by directed graphs of computational tasks; these graphs may contain thousands of task vertices. • Some tasks can be parallelized in a systolic or data-partitioned manner, while others cannot be parallelized at all. • The side effects of each task, if any, are limited to changes in local variables. • Each task has a data-independent execution time bound, which may be expressed as a function of the way it is parallelized, and the number of processors it is mapped to. In this paper we describe techniques to automatically map such systems to Warp-like parallel machines. We identify and address key issues in gracefully combining different parallel programming styles, in allocating processor, memory and communication bandwidth, and in generating and scheduling efficient parallel code. When iWarp, the VLSI version of the Warp machine, becomes available in 1990, we will extend this tool to generate efficient code for very large applications, which may require as many as 3000 iWarp processors, with an aggregate peak performance of 60 gigaflops.

  1. Realization Techniques of Virtual Assembly Process Planning System

    Institute of Scientific and Technical Information of China (English)

    LIU Jian-hua; NING Ru-xin; TANG Cheng-tong

    2005-01-01

    The key realization techniques of virtual assembly process planning (VAPP) system are analyzed,including virtual assembly model, real-time collision detection, automatic constraint recognition algorithm, cable harness assembly process planning and visual assembly process plan at the workshop. A virtual assembly model based on hierarchical assembly task list (HATL) is put forward, in which assembly tasks are defined to express component assembling operations and are sequentially and hierarchically organized according to different subassemblies, which can perfectly model the construction process of product. And a multi-layer automatic geometry constraint recognition algorithm of how to identify assembly constraint relations in the virtual environment is proposed, then a four-layer collision detection algorithm is discussed. A VAPP system is built and some simple mechanical assemblies are used to illustrate the feasibility of the proposed method and algorithms.

  2. Information architecture: Standards adoption and retirement process service action plan

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    The purpose of this Service Action Plan is to announce, as well as provide, a high-level outline of a new Departmental process for the adoption and retirement of information technology standards. This process supports the implementation of a Department of Energy (DOE) Information Architecture. This plan was prepared with the Department of Energy information technology standards customers and stakeholders in mind. The process described in this plan will be serviced primarily by staff from the Office of the Deputy Assistant Secretary for Information Management with assistance from designated program and site Information Technology Standards Points of Contact. We welcome any comments regarding this new Departmental process and encourage the proposal of information technology standards for adoption or retirement.

  3. Information architecture: Standards adoption and retirement process service action plan

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    The purpose of this Service Action Plan is to announce, as well as provide, a high-level outline of a new Departmental process for the adoption and retirement of information technology standards. This process supports the implementation of a Department of Energy (DOE) Information Architecture. This plan was prepared with the Department of Energy information technology standards customers and stakeholders in mind. The process described in this plan will be serviced primarily by staff from the Office of the Deputy Assistant Secretary for Information Management with assistance from designated program and site Information Technology Standards Points of Contact. We welcome any comments regarding this new Departmental process and encourage the proposal of information technology standards for adoption or retirement.

  4. An Agent Interaction Based Method for Nonlinear Process Plan Scheduling

    Institute of Scientific and Technical Information of China (English)

    GAO Qinglu; WU Bo; GUO Guang

    2006-01-01

    This article puts forward a scheduling method for nonlinear process plan shop floor. Task allocation and load balance are realized by bidding mechanism. Though the agent interaction process, the execution of tasks is determined and the coherence of manufacturing decision is verified. The employment of heuristic index can help to optimize the system performance.

  5. The science planning process on the Rosetta mission

    Science.gov (United States)

    Vallat, Claire; Altobelli, Nicolas; Geiger, Bernhard; Grieger, Bjoern; Kueppers, Michael; Muñoz Crego, Claudio; Moissl, Richard; Taylor, Matthew G. G. T.; Alexander, Claudia; Buratti, Bonnie; Choukroun, Mathieu

    2017-04-01

    The Rosetta mission arrived at comet 67 P/Churyumov-Gerasimenko in Summer 2014, after more than 10 years in space. All previous mission encounters with a comet have provided a snapshot of the cometary activity at a given heliocentric distance. In contrast, Rosetta has escorted the comet nucleus for an extended period (>2 years) at a large range of cometo-centric and heliocentric distances, which has provided exceptional and unprecedented observing conditions to study, analyse and monitor 67 P during its passage to, through and away from perihelion. One of the biggest challenges of this mission is the development of an observation plan that adequately addresses the mission's science objectives while coping with a largely unknown and continuously evolving environment that constantly modifies the planning constraints. The Rosetta Science Ground Segment (RSGS), in support of the Project Scientist and the Science Working Team, is in charge of translating the high level mission science objectives into a low level pointing and operations plan. We present here the high-level science planning process adopted during the comet escort phase. We describe the main science objectives addressed along the mission lifetime, the different groups involved in the science planning, and the approach followed to translate those requirements into a viable and scientifically valid operations plan. Finally, we describe how the science planning scheme has evolved since arrival at the comet to react to the unexpected environment, largely reducing the planning lead times.

  6. Operational readiness: an integral part of the facility planning process.

    Science.gov (United States)

    Kidd, LeeAnne; Howe, Rob

    2014-01-01

    Large capital building projects benefit from an operational readiness strategy prior to new facility occupancy. St. Joseph's Healthcare used a structured approach for their readiness planning that included individual work plan meetings, tools for ensuring integration across programs and services and process improvement support to ensure a smooth transition. Over 1100 staff were oriented using a Train-the-Trainer model. Significant effort was required to co-ordinate the customized training, which involved "staffing up" to ensure sufficient resources for backfill. Operational readiness planning places additional demands on managers, requiring support and assistance from dedicated resources both prior to occupancy and several months post-move.

  7. Planning of Sheet Metal Drawing Processes Based on Information Strategies

    Directory of Open Access Journals (Sweden)

    José Roberto Marty Delgado

    2011-10-01

    Full Text Available Sheet metal forming processes represent an important group of manufacturing processes for dissimilar applications. The development of numerical simulation methods has created new possibilities in important industrial aspects with regard to optimization and integration CAPP system in sheet metal drawing processes. The result of the processes depends on a large number of parameters and their interdependence hence, knowledge and experience of the designer are critical. The present work deals with the elements to be considered in the integral design, planning and optimization sheet metal drawing processes under a set of criteria and as such the possibilities that this task offers in the decision making, preparation along with the analysis and synthesis of engineering systems. In addition a methodology for integration design and process planning of sheet metal forming process analysis is summarized.

  8. Parametric Optimization of Nd:YAG Laser Beam Machining Process Using Artificial Bee Colony Algorithm

    Directory of Open Access Journals (Sweden)

    Rajarshi Mukherjee

    2013-01-01

    Full Text Available Nd:YAG laser beam machining (LBM process has a great potential to manufacture intricate shaped microproducts with its unique characteristics. In practical applications, such as drilling, grooving, cutting, or scribing, the optimal combination of Nd:YAG LBM process parameters needs to be sought out to provide the desired machining performance. Several mathematical techniques, like Taguchi method, desirability function, grey relational analysis, and genetic algorithm, have already been applied for parametric optimization of Nd:YAG LBM processes, but in most of the cases, suboptimal or near optimal solutions have been reached. This paper focuses on the application of artificial bee colony (ABC algorithm to determine the optimal Nd:YAG LBM process parameters while considering both single and multiobjective optimization of the responses. A comparative study with other population-based algorithms, like genetic algorithm, particle swarm optimization, and ant colony optimization algorithm, proves the global applicability and acceptability of ABC algorithm for parametric optimization. In this algorithm, exchange of information amongst the onlooker bees minimizes the search iteration for the global optimal and avoids generation of suboptimal solutions. The results of two sample paired t-tests also demonstrate its superiority over the other optimization algorithms.

  9. Tracking the Short Term Planning (STP) Development Process

    Science.gov (United States)

    Price, Melanie; Moore, Alexander

    2010-01-01

    Part of the National Aeronautics and Space Administration?s mission is to pioneer the future in space exploration, scientific discovery and aeronautics research is enhanced by discovering new scientific tools to improve life on earth. Sequentially, to successfully explore the unknown, there has to be a planning process that organizes certain events in the right priority. Therefore, the planning support team has to continually improve their processes so the ISS Mission Operations can operate smoothly and effectively. The planning support team consists of people in the Long Range Planning area that develop timelines that includes International Partner?s Preliminary STP inputs all the way through to publishing of the Final STP. Planning is a crucial part of the NASA community when it comes to planning the astronaut?s daily schedule in great detail. The STP Process is in need of improvement, because of the various tasks that are required to be broken down in order to get the overall objective of developing a Final STP done correctly. Then a new project came along in order to store various data in a more efficient database. "The SharePoint site is a Web site that provides a central storage and collaboration space for documents, information, and ideas."

  10. The multiphysics analysis of the metallic bipolar plate by the electrochemical micro-machining fabrication process

    Science.gov (United States)

    Lee, Yu-Ming; Lee, Shuo-Jen; Lee, Chi-Yuan; Chang, Dar-Yuan

    In this study, the flow channels of a PEM fuel cell are fabricated by the EMM process. The parametric effects of the process are studied by both numerical simulation and experimental tests. For the numerical simulation, the multiphysics model, consisting of electrical field, convection, and diffusion phenomena is applied using COMSOL software. COMSOL software is used to predict the parametric effects of the channel fabrication accuracy such as pulse rate, pulse duty cycle, inter-electrode gap and electrolytic inflow velocity. The proper experimental parameters and the relationship between the parameters and the distribution of metal removal are established from the simulated results. The experimental fabrication tests showed that a shorter pulse rate and a higher pulse current improved the fabrication accuracy, and is consistent with the numerical simulation results. The proposed simulation model could be employed as a predictive tool to provide optimal parameters for better machining accuracy and process stability of the EMM process.

  11. Conservation Action Planning: Lessons learned from the St. Marys River watershed biodiversity conservation planning process

    Science.gov (United States)

    Patterson, Tamatha A.; Grundel, Ralph

    2014-01-01

    Conservation Action Planning (CAP) is an adaptive management planning process refined by The Nature Conservancy (TNC) and embraced worldwide as the Open Standards for the Practice of Conservation. The CAP process facilitates open, multi-institutional collaboration on a common conservation agenda through organized actions and quantified results. While specifically designed for conservation efforts, the framework is adaptable and flexible to multiple scales and can be used for any collaborative planning effort. The CAP framework addresses inception; design and development of goals, measures, and strategies; and plan implementation and evaluation. The specific components of the CAP include defining the project scope and conservation targets; assessing the ecological viability; ascertaining threats and surrounding situation; identifying opportunities and designing strategies for action; and implementing actions and monitoring results. In 2007, TNC and a multidisciplinary graduate student team from the University of Michigan's School of Natural Resources and Environment initiated a CAP for the St. Marys River, the connecting channel between Lake Superior and Lake Huron, and its local watershed. The students not only gained experience in conservation planning, but also learned lessons that notably benefited the CAP process and were valuable for any successful collaborative effort—a dedicated core team improved product quality, accelerated the timeline, and provided necessary support for ongoing efforts; an academic approach in preparation for engagement in the planning process brought applicable scientific research to the forefront, enhanced workshop facilitation, and improved stakeholder participation; and early and continuous interactions with regional stakeholders improved cooperation and built a supportive network for collaboration.

  12. PRAPRAG: software para planejamento racional de máquinas agrícolas PRAPRAG: software for rational planning of agricultural machines

    Directory of Open Access Journals (Sweden)

    Erivelto Mercante

    2010-04-01

    Full Text Available O software PRAPRAG é uma ferramenta de escolha de máquinas e implementos agrícolas que apresentam o menor custo por área ou por quantidade produzida, bem como, faz o planejamento de aquisição das máquinas para a propriedade agrícola, do ponto de vista técnico e econômico. Foi utilizada a linguagem de programação Borland Delphi 3.0 e, a partir de prospectos das máquinas e implementos, criou-se um banco de dados onde o usuário pode cadastrar e modificar suas características de uso. O software mostrou-se uma ferramenta útil e uso amigável. O software proporciona maior rapidez, segurança e confiabilidade ao processo produtivo e econômico das propriedades, na seleção e aquisição de conjuntos mecanizados agrícolas, e na determinação de custos com a mão de obra utilizada.The software PRAPRAG is a tool used for choosing agricultural machines and implements that present the lowest cost per area or produced amount, as well as, to it makes the machines acquisition planning for the agricultural property, from both technical and economical points of view. It was used the programming language Borland Delphi 3.0. From the machine and implement handouts, it was created a database where the user can register and modify their characteristics of use. The software showed to be a useful and friendly tool. The software provides high speed, safety and reliability for the productive and economical process of the properties, at the selection and acquisition of agricultural systems, as well as for the determination of costs with the used labor.

  13. Minimizing Tardy Jobs in a Single Machine Scheduling Problem with Fuzzy Processing Times and Due Dates

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The optimality of a fuzzy logic alternative to the usual treatment of uncertainties in a scheduling system using fuzzy numbers is examined formally. Processing times and due dates are fuzzified and presented by fuzzy numbers. With introducing the necessity measure, we compare fuzzy completion times of jobs with fuzzy due dates to decide whether jobs are tardy. The object is to minimize the numbers of tardy jobs.The efficient solution method for this problem is proposed. And deterministic counterpart of this single machine scheduling problem is a special case of fuzzy version.

  14. The Processing of Parts with Group Technology in Individual CNC Machining Center

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper proposes a new machining method for part s using group technology suitable for workshop condition in China. The method divi des the parts of each product into similar kinds according to their features, an d installs each kind of parts on different working platforms. The working platfo rm, as a unit, is designed to be flexible and is interchangeable. It can be hung and fitted to the CNC working table. By changing the platforms in turn, nearly all the parts of one product can be processed with o...

  15. Gaussian Process Regression as a machine learning tool for predicting organic carbon from soil spectra - a machine learning comparison study

    Science.gov (United States)

    Schmidt, Andreas; Lausch, Angela; Vogel, Hans-Jörg

    2016-04-01

    Diffuse reflectance spectroscopy as a soil analytical tool is spreading more and more. There is a wide range of possible applications ranging from the point scale (e.g. simple soil samples, drill cores, vertical profile scans) through the field scale to the regional and even global scale (UAV, airborne and space borne instruments, soil reflectance databases). The basic idea is that the soil's reflectance spectrum holds information about its properties (like organic matter content or mineral composition). The relation between soil properties and the observable spectrum is usually not exactly know and is typically derived from statistical methods. Nowadays these methods are classified in the term machine learning, which comprises a vast pool of algorithms and methods for learning the relationship between pairs if input - output data (training data set). Within this pool of methods a Gaussian Process Regression (GPR) is newly emerging method (originating from Bayesian statistics) which is increasingly applied to applications in different fields. For example, it was successfully used to predict vegetation parameters from hyperspectral remote sensing data. In this study we apply GPR to predict soil organic carbon from soil spectroscopy data (400 - 2500 nm). We compare it to more traditional and widely used methods such as Partitial Least Squares Regression (PLSR), Random Forest (RF) and Gradient Boosted Regression Trees (GBRT). All these methods have the common ability to calculate a measure for the variable importance (wavelengths importance). The main advantage of GPR is its ability to also predict the variance of the target parameter. This makes it easy to see whether a prediction is reliable or not. The ability to choose from various covariance functions makes GPR a flexible method. This allows for including different assumptions or a priori knowledge about the data. For this study we use samples from three different locations to test the prediction accuracies. One

  16. Development strategies in design and process planning quality assurance context

    Directory of Open Access Journals (Sweden)

    J. Duda

    2010-07-01

    Full Text Available According to the new development strategies, the product development focuses on as much as possible parallel execution of alldevelopment related product life cycle phases, thus creating CE (Concurrent Engineering approach. Its further extension is CEE (CrossEnterprises Engineering approach incorporating the relations between business and engineering activities, so securing also the access tothe resources of cooperating enterprises. Computer integration of product phases can be viewed as functional, informational and complexintegration. The process planning quality is assured on the design and technological process planning stage with the use of methods andsystems processing the data from the other product development phases. The paper presents the methods and systems for design andprocess planning quality assurance in the product life cycle as well as the possibility for the implementation of the presented productdevelopment phases.

  17. Recovery process of wall condition in KSTAR vacuum vessel after temporal machine-vent for repair

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Kwang Pyo, E-mail: kpkim@nfri.er.ke; Hong, Suk-Ho; Lee, Hyunmyung; Song, Jae-in; Jung, Nam-Yong; Lee, Kunsu; Chu, Yong; Kim, Hakkun; Park, Kaprai; Oh, Yeong-Kook

    2015-10-15

    Highlights: • Efforts have been made to obtain vacuum condition that is essential for the plasma experiments. • For example, the vacuum vessel should be vented to repair in-vessel components such as diagnostic shutter, and PFC damaged by high energy plasma. • Here, we present the recovery process of wall condition in KSTAR after temporal machine-vent for repair. • It is found that an acceptable vacuum condition has been achieved only by plasma based wall conditioning techniques such as baking, GDC, and boronization. • This study was that the proper recovering method of the vacuum condition should be developed according to the severity of the accident. - Abstract: Efforts have been made to obtain vacuum condition that is essential for the plasma experiments. Under certain situations, for example, the vacuum vessel should be vented to repair in-vessel components such as diagnostic shutter, exchange of window for diagnostic equipment, and PFC damaged by high energy plasma. For the quick restart of the campaign, a recovery process was established to make the vacuum condition acceptable for the plasma experiment. In this paper, we present the recovery process of wall condition in KSTAR after temporal machine-vent for repair. It is found that an acceptable vacuum condition has been achieved only by plasma based wall conditioning techniques such as baking, GDC, and boronization. This study was that the proper recovering method of the vacuum condition should be developed according to the severity of the accident.

  18. Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting

    Directory of Open Access Journals (Sweden)

    Xiwei Huang

    2016-11-01

    Full Text Available A lensless blood cell counting system integrating microfluidic channel and a complementary metal oxide semiconductor (CMOS image sensor is a promising technique to miniaturize the conventional optical lens based imaging system for point-of-care testing (POCT. However, such a system has limited resolution, making it imperative to improve resolution from the system-level using super-resolution (SR processing. Yet, how to improve resolution towards better cell detection and recognition with low cost of processing resources and without degrading system throughput is still a challenge. In this article, two machine learning based single-frame SR processing types are proposed and compared for lensless blood cell counting, namely the Extreme Learning Machine based SR (ELMSR and Convolutional Neural Network based SR (CNNSR. Moreover, lensless blood cell counting prototypes using commercial CMOS image sensors and custom designed backside-illuminated CMOS image sensors are demonstrated with ELMSR and CNNSR. When one captured low-resolution lensless cell image is input, an improved high-resolution cell image will be output. The experimental results show that the cell resolution is improved by 4×, and CNNSR has 9.5% improvement over the ELMSR on resolution enhancing performance. The cell counting results also match well with a commercial flow cytometer. Such ELMSR and CNNSR therefore have the potential for efficient resolution improvement in lensless blood cell counting systems towards POCT applications.

  19. Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting.

    Science.gov (United States)

    Huang, Xiwei; Jiang, Yu; Liu, Xu; Xu, Hang; Han, Zhi; Rong, Hailong; Yang, Haiping; Yan, Mei; Yu, Hao

    2016-11-02

    A lensless blood cell counting system integrating microfluidic channel and a complementary metal oxide semiconductor (CMOS) image sensor is a promising technique to miniaturize the conventional optical lens based imaging system for point-of-care testing (POCT). However, such a system has limited resolution, making it imperative to improve resolution from the system-level using super-resolution (SR) processing. Yet, how to improve resolution towards better cell detection and recognition with low cost of processing resources and without degrading system throughput is still a challenge. In this article, two machine learning based single-frame SR processing types are proposed and compared for lensless blood cell counting, namely the Extreme Learning Machine based SR (ELMSR) and Convolutional Neural Network based SR (CNNSR). Moreover, lensless blood cell counting prototypes using commercial CMOS image sensors and custom designed backside-illuminated CMOS image sensors are demonstrated with ELMSR and CNNSR. When one captured low-resolution lensless cell image is input, an improved high-resolution cell image will be output. The experimental results show that the cell resolution is improved by 4×, and CNNSR has 9.5% improvement over the ELMSR on resolution enhancing performance. The cell counting results also match well with a commercial flow cytometer. Such ELMSR and CNNSR therefore have the potential for efficient resolution improvement in lensless blood cell counting systems towards POCT applications.

  20. Multi-objective optimization of the dry electric discharge machining process

    CERN Document Server

    Saha, Sourabh

    2009-01-01

    Dry Electric Discharge Machining (EDM) is an environment-friendly modification of the conventional EDM process, which is obtained by replacing the liquid dielectric by a gaseous medium. In this study, multi-objective optimization of dry EDM process has been done using the non dominated sorting genetic algorithm (NSGA II), with material removal rate (MRR) and surface roughness (Ra) as the objective functions. Experiments were conducted with air as dielectric to develop polynomial models of MRR and Ra in terms of the six input parameters: gap voltage, discharge current, pulse-on time, duty factor, air pressure and spindle speed. A Pareto-optimal front was then obtained using NSGA II. Analysis of the front was done to identify separate regions for finish and rough machining. Designed experiments were then conducted in these focused regions to verify the optimization results and to identify the region-specific characteristics of the process. Finishing conditions were obtained at low current, high pulse-on time an...

  1. Region Based Route Planning: Multi-Abstraction Route Planning Based On Intermediate Level Vision Processing

    Science.gov (United States)

    Doshi, Rajkumar S.; Lam, Raymond; White, James E.

    1989-01-01

    The Region Based Route Planner performs intermediate-level and high-level processing on vision data to organize the image into more meaningful higher-level topological representations. A variety of representations are employed at appropriate stages in the route plan-ning process. A variety of abstractions are used for the purposes of problem reduction and application of multiple criteria at different phases during the navigation planning process. The Region Based Route Planner operates in terrain scenarios where some or most of the terrain is occluded. The Region Based Route Planner operates without any priori maps. The route planner uses two dimensional representations and utilizes gradient and roughness information. The implementation described here is being tested on the JPL Robotic Vehicle. The Region Based Route Planner operates in two phases. In the first phase, the terrain map is segmented to derive global information about various features in it. The next phase is the actual route planning phase. The route is planned with increasing amounts of detail by successive refinement. This phase has three abstrac-tions. In the first abstraction, the planner analyses high level information and so a coarse, region-to-region plan is produced. The second abstraction produces a list of pairs of entry and exit waypoints for only these selected regions. In the last abstraction, for every pair of these waypoints, a local route planner is invoked. This planner finds a detailed point-to-point path by searching only within the boundaries of these relatively small regions.

  2. Advance care planning in CKD/ESRD: an evolving process.

    Science.gov (United States)

    Holley, Jean L

    2012-06-01

    Advance care planning was historically considered to be simply the completion of a proxy (health care surrogate designation) or instruction (living will) directive that resulted from a conversation between a patient and his or her physician. We now know that advance care planning is a much more comprehensive and dynamic patient-centered process used by patients and families to strengthen relationships, achieve control over medical care, prepare for death, and clarify goals of care. Some advance directives, notably designated health care proxy documents, remain appropriate expressions of advance care planning. Moreover, although physician orders, such as do-not-resuscitate orders and Physician Orders for Life-Sustaining Treatment, may not be strictly defined as advance directives, their completion, when appropriate, is an integral component of advance care planning. The changing health circumstances and illness trajectory characteristic of ESRD mandate that advance care planning discussions adapt to a patient's situation and therefore must be readdressed at appropriate times and intervals. The options of withholding and withdrawing dialysis add ESRD-specific issues to advance care planning in this population and are events each nephrologist will at some time confront. Advance care planning is important throughout the spectrum of ESRD and is a part of nephrology practice that can be rewarding to nephrologists and beneficial to patients and their families.

  3. Process development work plan for waste feed delivery system

    Energy Technology Data Exchange (ETDEWEB)

    Papp, I.G.

    1998-04-02

    This work plan defines the process used to develop project definition for Waste Feed Delivery (WFD). Project definition provides the direction for development of definitive design media required for the ultimate implementation of operational processing hardware and software. Outlines for the major deliverables are attached as appendices. The implementation of hardware and software will accommodate requirements for safe retrieval and delivery of waste currently stored in Hanford`s underground storage tanks. Operations and maintenance ensure the availability of systems, structures, and components for current and future planned operations within the boundary of the Tank Waste Remediation System (TWRS) authorization basis.

  4. Stakeholder relationships in the festival and event planning process

    DEFF Research Database (Denmark)

    Michelsen la Cour, Annette

    2017-01-01

    in their strategic use of the planning process were able to strengthen their specific interests in order to create a positive social impact. Whereas the DGI redesigned their festival call in order to rebrand the festival as a young festival, the city of Esbjerg used the festival to rebrand the city as a family......, they came out of the festival with strengthened networks, while others saw the festival as an opportunity to train their collaborative skills of managing an event. The outcome of the collaboration during the planning process was a successful rebranding of the festival and the city strengthening both...

  5. Improving Energy Efficiency in CNC Machining

    Science.gov (United States)

    Pavanaskar, Sushrut S.

    We present our work on analyzing and improving the energy efficiency of multi-axis CNC milling process. Due to the differences in energy consumption behavior, we treat 3- and 5-axis CNC machines separately in our work. For 3-axis CNC machines, we first propose an energy model that estimates the energy requirement for machining a component on a specified 3-axis CNC milling machine. Our model makes machine-specific predictions of energy requirements while also considering the geometric aspects of the machining toolpath. Our model - and the associated software tool - facilitate direct comparison of various alternative toolpath strategies based on their energy-consumption performance. Further, we identify key factors in toolpath planning that affect energy consumption in CNC machining. We then use this knowledge to propose and demonstrate a novel toolpath planning strategy that may be used to generate new toolpaths that are inherently energy-efficient, inspired by research on digital micrography -- a form of computational art. For 5-axis CNC machines, the process planning problem consists of several sub-problems that researchers have traditionally solved separately to obtain an approximate solution. After illustrating the need to solve all sub-problems simultaneously for a truly optimal solution, we propose a unified formulation based on configuration space theory. We apply our formulation to solve a problem variant that retains key characteristics of the full problem but has lower dimensionality, allowing visualization in 2D. Given the complexity of the full 5-axis toolpath planning problem, our unified formulation represents an important step towards obtaining a truly optimal solution. With this work on the two types of CNC machines, we demonstrate that without changing the current infrastructure or business practices, machine-specific, geometry-based, customized toolpath planning can save energy in CNC machining.

  6. Research on ultrasonic vibration aided femtosecond laser machining process of transparent materials

    Science.gov (United States)

    Dai, Yutang; Liu, Bin; Yin, Guanglin; Li, Tao; Karanja, Joseph M.

    2015-08-01

    A new process of femtosecond laser micromachining with ultrasonic vibration aided is proposed. An ultrasonic aided device has been designed, and the laser micromachining experiments of transparent materials have been carried out. The effects of the ultrasonic vibration with different power on surface quality and the drilling depth have been investigated, and the mechanism of the ultrasonic vibration aided laser machining has been analyzed. After introducing the ultrasonic vibration device, the residue debris on surface of the ablated trench is significantly reduced, and the drilling depth is increased. These results show that, ultrasonic vibration can effectively improve the surface quality of material processing, increase the depth of the drilling hole and promote the processing efficiency of the femtosecond laser.

  7. Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model

    Directory of Open Access Journals (Sweden)

    Shaojiang Dong

    2014-01-01

    Full Text Available Predicting the degradation process of bearings before they reach the failure threshold is extremely important in industry. This paper proposed a novel method based on the support vector machine (SVM and the Markov model to achieve this goal. Firstly, the features are extracted by time and time-frequency domain methods. However, the extracted original features are still with high dimensional and include superfluous information, and the nonlinear multifeatures fusion technique LTSA is used to merge the features and reduces the dimension. Then, based on the extracted features, the SVM model is used to predict the bearings degradation process, and the CAO method is used to determine the embedding dimension of the SVM model. After the bearing degradation process is predicted by SVM model, the Markov model is used to improve the prediction accuracy. The proposed method was validated by two bearing run-to-failure experiments, and the results proved the effectiveness of the methodology.

  8. Improve of the adequacy and reliability of no standardized processing model datasets in studies of educational systems method of experiment planning

    Directory of Open Access Journals (Sweden)

    Valery Alexeev

    2014-06-01

    Full Text Available The article is devoted the questions of improvement of the accuracy of statistical mathematical models, used to investigate the effectiveness of the educational process. The authors suggest changing standard approaches to information processing large datasets, using the method of experiment planning. This takes into account features of data sets characteristic of pedagogical processes. Using these proposals one can improve the accuracy of the model and the value processing, and hence the accuracy of machining.

  9. Analysis of aerosol emission and hazard evaluation of electrical discharge machining (EDM) process.

    Science.gov (United States)

    Jose, Mathew; Sivapirakasam, S P; Surianarayanan, M

    2010-01-01

    The safety and environmental aspects of a manufacturing process are important due to increased environmental regulations and life quality. In this paper, the concentration of aerosols in the breathing zone of the operator of Electrical Discharge Machining (EDM), a commonly used non traditional manufacturing process is presented. The pattern of aerosol emissions from this process with varying process parameters such as peak current, pulse duration, dielectric flushing pressure and the level of dielectric was evaluated. Further, the HAZOP technique was employed to identify the inherent safety aspects and fire risk of the EDM process under different working conditions. The analysis of aerosol exposure showed that the concentration of aerosol was increased with increase in the peak current, pulse duration and dielectric level and was decreased with increase in the flushing pressure. It was also found that at higher values of peak current (7A) and pulse duration (520 micros), the concentration of aerosols at breathing zone of the operator was above the permissible exposure limit value for respirable particulates (5 mg/m(3)). HAZOP study of the EDM process showed that this process is vulnerable to fire and explosion hazards. A detailed discussion on preventing the fire and explosion hazard is presented in this paper. The emission and risk of fire of the EDM process can be minimized by selecting proper process parameters and employing appropriate control strategy.

  10. The ASDEX upgrade digital video processing system for real-time machine protection

    Energy Technology Data Exchange (ETDEWEB)

    Drube, Reinhard, E-mail: reinhard.drube@ipp.mpg.de [Max-Planck-Institut für Plasmaphysik, EURATOM Association, Boltzmannstr. 2, 85748 Garching (Germany); Neu, Gregor [Max-Planck-Institut für Plasmaphysik, EURATOM Association, Boltzmannstr. 2, 85748 Garching (Germany); Cole, Richard H.; Lüddecke, Klaus [Unlimited Computer Systems GmbH, Seeshaupterstr. 15, 82393 Iffeldorf (Germany); Lunt, Tilmann; Herrmann, Albrecht [Max-Planck-Institut für Plasmaphysik, EURATOM Association, Boltzmannstr. 2, 85748 Garching (Germany)

    2013-11-15

    Highlights: • We present the Real-Time Video diagnostic system of ASDEX Upgrade. • We show the implemented image processing algorithms for machine protection. • The way to achieve a robust operating multi-threading Real-Time system is described. -- Abstract: This paper describes the design, implementation, and operation of the Video Real-Time (VRT) diagnostic system of the ASDEX Upgrade plasma experiment and its integration with the ASDEX Upgrade Discharge Control System (DCS). Hot spots produced by heating systems erroneously or accidentally hitting the vessel walls, or from objects in the vessel reaching into the plasma outer border, show up as bright areas in the videos during and after the reaction. A system to prevent damage to the machine by allowing for intervention in a running discharge of the experiment was proposed and implemented. The VRT was implemented on a multi-core real-time Linux system. Up to 16 analog video channels (color and b/w) are acquired and multiple regions of interest (ROI) are processed on each video frame. Detected critical states can be used to initiate appropriate reactions – e.g. gracefully terminate the discharge. The system has been in routine operation since 2007.

  11. Correction factors for ionization chamber dosimetry in CyberKnife: Machine-specific, plan-class, and clinical fields

    Energy Technology Data Exchange (ETDEWEB)

    Gago-Arias, Araceli; Antolin, Elena; Fayos-Ferrer, Francisco; Simon, Rocio; Gonzalez-Castano, Diego M.; Palmans, Hugo; Sharpe, Peter; Gomez, Faustino; Pardo-Montero, Juan [Departamento de Fisica de Particulas, Facultad de Fisica, Universidade de Santiago de Compostela, A Coruna 15782 (Spain); Servicio de Fisica Medica, Hospital Ruber Internacional, Madrid 28034 (Spain); Departamento de Fisica de Particulas, Facultad de Fisica, Universidade de Santiago de Compostela, A Coruna 15782, Spain and Laboratorio de Radiofisica, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruna 15782 (Spain); National Physical Laboratory, Teddington, Middx TW11 OLW (United Kingdom); Departamento de Fisica de Particulas, Facultad de Fisica, Universidade de Santiago de Compostela, A Coruna 15782, Spain and Laboratorio de Radiofisica, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruna 15782 (Spain); Departamento de Fisica de Particulas, Facultad de Fisica, Universidade de Santiago de Compostela, A Coruna 15782 (Spain)

    2013-01-15

    Purpose: The aim of this work is the application of the formalism for ionization chamber reference dosimetry of small and nonstandard fields [R. Alfonso, P. Andreo, R. Capote, M. S. Huq, W. Kilby, P. Kjaell, T. R. Mackie, H. Palmans, K. Rosser, J. Seuntjens, W. Ullrich, and S. Vatnitsky, 'A new formalism for reference dosimetry of small and nonstandard fields,' Med. Phys. 35, 5179-5186 (2008)] to the CyberKnife robotic radiosurgery system. Correction factors for intermediate calibration fields, a machine-specific reference field (msr) and two plan-class specific reference fields (pcsr), have been studied. Furthermore, the applicability of the new formalism to clinical dosimetry has been analyzed through the investigation of two clinical treatments. Methods: PTW31014 and Scanditronix-Wellhofer CC13 ionization chamber measurements were performed for the fields under investigation. Absorbed dose to water was determined using alanine reference dosimetry, and experimental correction factors were calculated from alanine to ionization chamber readings ratios. In addition, correction factors were calculated for the intermediate calibration fields and one of the clinical treatment fields using the Monte Carlo method and these were compared with the experimental values. Results: Overall correction factors deviating from unity by approximately 2% were obtained from both measurements and simulations, with values below and above unity for the studied intermediate calibration fields and clinical fields for the ionization chambers under consideration. Monte Carlo simulations yielded correction factors comparable with those obtained from measurements for the machine-specific reference field, although differences from 1% to 3.3% were observed between measured and calculated correction factors for the composite intermediate calibration fields. Dose distribution inhomogeneities are thought to be responsible for such discrepancies. Conclusions: The differences found between

  12. Genetic Algorithm Based Production Planning for Alternative Process Production

    Institute of Scientific and Technical Information of China (English)

    ZHANG Fa-ping; SUN Hou-fang; SHAHID I. Butt

    2009-01-01

    Production planning under flexible job shop environment is studied. A mathematic model is formulated to help improve alternative process production. This model, in which genetic algorithm is used, is expected to result in better production planning, hence towards the aim of minimizing production cost under the constraints of delivery time and other scheduling conditions. By means of this algorithm, all planning schemes which could meet all requirements of the constraints within the whole solution space are exhaustively searched so as to find the optimal one. Also, a case study is given in the end to support and validate this model. Our results show that genetic algorithm is capable of locating feasible process routes to reduce production cost for certain tasks.

  13. Decomposition of forging die for high speed machining

    CERN Document Server

    Tapie, Laurent

    2009-01-01

    Today's forging die manufacturing process must be adapted to several evolutions in machining process generation: CAD/CAM models, CAM software solutions and High Speed Machining (HSM). In this context, the adequacy between die shape and HSM process is in the core of machining preparation and process planning approaches. This paper deals with an original approach of machining preparation integrating this adequacy in the main tasks carried out. In this approach, the design of the machining process is based on two levels of decomposition of the geometrical model of a given die with respect to HSM cutting conditions (cutting speed and feed rate) and technological constrains (tool selection, features accessibility). This decomposition assists machining assistant to generate an HSM process. The result of this decomposition is the identification of machining features.

  14. Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electro chemical machining process

    Science.gov (United States)

    Teimouri, Reza; Sohrabpoor, Hamed

    2013-12-01

    Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.

  15. INVESTIGATION OF MODIFICATION PROCESSES IN RESPECT OF WEAR-RESISTANT PLASMA COATINGS USING PULSE-PLASMA MACHINING

    Directory of Open Access Journals (Sweden)

    V. A. Okovity

    2009-01-01

    Full Text Available The paper contains information on the investigated processes and optimized technological parameters  of  highly-energy  machining of plasma  coatings  made  of  cladding  composite  powders obtained as a result of self-spreading high-temperature synthesis. Metallographic analysis has been carried out and coating properties machined at optimum regimes have been investigated in the paper

  16. Optimization strategy in end milling process for high speed machining of hardened die/mold steel

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    An optimization strategy for high speed machining of hardened die/mold steel based on machining feature analysis was studied. It is a further extension of the previously presented study on the thermal mechanism of end milling and constant cutting force control. An objective function concerning machining cost and associated optimization algorithm based on machining time and cutting length calculation was proposed. Constraints to satisfy specific machining strategies when high speed machining the hardened die/mold steel, trochoid tool path pattern in slot end milling to avoid over-heat and feed rate adaptation to avoid over-load, were also discussed.As a case study, the tool selection problem when machining a die part with multiple machining features was investigated.

  17. Empowering Families during the Early Intervention Planning Process

    Science.gov (United States)

    Byington, Teresa A.; Whitby, Peggy J. S.

    2011-01-01

    Parents play important roles as advocates for their child with a disability. Advocacy is the process of striving to improve the quality of life for someone else. The Individuals With Disabilities Education Act (IDEA) requires parents and professionals to work together to design a service delivery plan for children with disabilities. An…

  18. Empowering Families during the Early Intervention Planning Process

    Science.gov (United States)

    Byington, Teresa A.; Whitby, Peggy J. S.

    2011-01-01

    Parents play important roles as advocates for their child with a disability. Advocacy is the process of striving to improve the quality of life for someone else. The Individuals With Disabilities Education Act (IDEA) requires parents and professionals to work together to design a service delivery plan for children with disabilities. An…

  19. Process planning for a modular component placement system

    NARCIS (Netherlands)

    Zijm, Willem H.M.; van Harten, Aart

    1993-01-01

    This paper discusses the design of a hierarchically structured process planning system for a printed circuit board assembly line. Basically, the assembly system consists of a series of independently operating placement modules, connected by a carrierless conveyor system. Both the modules and the

  20. Decision Driven Scenario Planning for Process-Level Interventions

    Science.gov (United States)

    Chemarck, Thomas J.; Payne, Tiffani D.

    2005-01-01

    This article builds on previous work that classified types of scenario planning as effective or relevant for particular situations, by adding consideration for levels within the organization. In addition, the argument is built for using a particular form of scenarios to anticipate or explore process level problems and outcomes. The problem of…

  1. Strategic investment of embodied energy during the architectural planning process

    NARCIS (Netherlands)

    Hildebrand, L.

    2014-01-01

    It is an interesting time in the building industry; for more than one decade sustainability is a planning parameter that essentially impacts construction related processes. Reduction of operational energy was initiated after the oil crisis and changed the type of construction by including heat trans

  2. City Labs as vehicles for innovation in urban planning processes

    NARCIS (Netherlands)

    Kemp, René; Scholl, Christian

    2016-01-01

    This paper assesses the role of urban experiments for local planning processes through a case-based analysis of the city lab of Maastricht. In conjunction with this, the article offers three contributions, as additional elements. Firstly, the paper develops a set of defining characteristics of city

  3. Local Authorities Participation in the Tourism Planning Process

    Directory of Open Access Journals (Sweden)

    Ali SELCUK CAN

    2014-02-01

    Full Text Available The aim of this article is to explore the weaknesses and strengths of local authorities in terms of their participation in the tourism planning process in Turkey. A two-page questionnaire was applied, along with structured interviews with 71 administrators of metropolitan, provincial, and district authorities, between January 1 and September 31, 2011. The findings of the survey suggest that tourism planning responsibilities should be devolved to local authorities. Local authorities do not extensively participate in tourism planning at present because of inadequate budgeting and tourism allocation facilities, insufficient cooperation among stakeholders, and a domination of central administration traditions. Causes of insufficient participation in tourism planning statistically differ among local authorities, in terms of insufficient realizations of the importance of tourism planning by stakeholders, and public land allocation for the purpose of tourism. On the other hand, there is a statistically significant difference between local authorities that have a tourism master plan and those who do not, in terms of a lack of educational opportunities for planners.

  4. 3D Finite Element Simulation of Tunnel Boring Machine Construction Processes in Deep Water Conveyance Tunnel

    Institute of Scientific and Technical Information of China (English)

    ZHONG Denghua; TONG Dawei

    2009-01-01

    Applying stiffness migration method, a 3D finite element mechanical model is established to simulate the excavation and advance processes. By using 3D nonlinear finite element method, the tunnel boring machine (TBM) excavation process is dynamically simulated to analyze the stress and strain field status of surrounding rock and segment. The maximum tensile stress of segment ring caused by tunnel construction mainly lies in arch bottom and presents zonal distribution. The stress increases slightly and limitedly in the course of excavation. The maxi-mum and minimum displacements of segment, manifesting as zonal distribution, distribute in arch bottom and vault respectively. The displacements slightly increase with the advance of TBM and gradually tend to stability.

  5. Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

    Institute of Scientific and Technical Information of China (English)

    Juan Chen; Xiaoyi Huang; Yanlei Qi; Xin Qi; Qing Guo

    2014-01-01

    In ultrasonic extraction technology, optimization of technical parameters often considers extraction medium only, without including ultrasonic parameters. This paper focuses on controlling the ultrasonic extraction process of puerarin, investigating the influence of ultrasonic parameters on extraction rate, and empirical y analyzing the main components of Pueraria, i.e., isoflavone compounds. A method is presented combining orthogonal experi-mental design with a support vector machine and a predictive model is established for optimization of technical parameters. From the analysis with the predictive model, appropriate process parameters are achieved for higher extraction rate. With these parameters in the ultrasonic extraction of puerarin, the experimental result is satisfactory. This method is of significance to the study of extracting root-stock plant medicines.

  6. Fault Detection and Diagnosis in Process Data Using Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Fang Wu

    2014-01-01

    Full Text Available For the complex industrial process, it has become increasingly challenging to effectively diagnose complicated faults. In this paper, a combined measure of the original Support Vector Machine (SVM and Principal Component Analysis (PCA is provided to carry out the fault classification, and compare its result with what is based on SVM-RFE (Recursive Feature Elimination method. RFE is used for feature extraction, and PCA is utilized to project the original data onto a lower dimensional space. PCA T2, SPE statistics, and original SVM are proposed to detect the faults. Some common faults of the Tennessee Eastman Process (TEP are analyzed in terms of the practical system and reflections of the dataset. PCA-SVM and SVM-RFE can effectively detect and diagnose these common faults. In RFE algorithm, all variables are decreasingly ordered according to their contributions. The classification accuracy rate is improved by choosing a reasonable number of features.

  7. Optimization of Multiple Responses of Ultrasonic Machining (USM Process: A Comparative Study

    Directory of Open Access Journals (Sweden)

    Rina Chakravorty

    2013-04-01

    Full Text Available Ultrasonic machining (USM process has multiple performance measures, e.g. material removal rate (MRR, tool wear rate (TWR, surface roughness (SR etc., which are affected by several process parameters. The researchers commonly attempted to optimize USM process with respect to individual responses, separately. In the recent past, several systematic procedures for dealing with the multi-response optimization problems have been proposed in the literature. Although most of these methods use complex mathematics or statistics, there are some simple methods, which can be comprehended and implemented by the engineers to optimize the multiple responses of USM processes. However, the relative optimization performance of these approaches is unknown because the effectiveness of different methods has been demonstrated using different sets of process data. In this paper, the computational requirements for four simple methods are presented, and two sets of past experimental data on USM processes are analysed using these methods. The relative performances of these methods are then compared. The results show that weighted signal-to-noise (WSN ratio method and utility theory (UT method usually give better overall optimisation performance for the USM process than the other approaches.

  8. 324 Facility B-Cell quality process plan

    Energy Technology Data Exchange (ETDEWEB)

    Carlson, J.L.

    1998-03-12

    This report documents the quality process plan for the restart of a hot cell in the B Plant, originally a bismuth phosphate processing facility, but later converted to a waste fractionation plant. B-Cell is currently being cleaned out and deactivated. TPA Milestone M-89-02 dictates that all mixed waste and equipment be removed from B-Cell by 5/31/1999. This report describes the major activities that remain for completion of the TPA milestone.

  9. Optimal Machine Tools Selection Using Interval-Valued Data FCM Clustering Algorithm

    Directory of Open Access Journals (Sweden)

    Yupeng Xin

    2014-01-01

    Full Text Available Machine tool selection directly affects production rates, accuracy, and flexibility. In order to quickly and accurately select the appropriate machine tools in machining process planning, this paper proposes an optimal machine tools selection method based on interval-valued data fuzzy C-means (FCM clustering algorithm. We define the machining capability meta (MAE as the smallest unit to describe machining capacity of machine tools and establish MAE library based on the MAE information model. According to the manufacturing process requirements, the MAEs can be queried from MAE library. Subsequently, interval-valued data FCM algorithm is used to select the appropriate machine tools for manufacturing process. Through computing matching degree between manufacturing process machining constraints and MAEs, we get the most appropriate MAEs and the corresponding machine tools. Finally, a case study of an exhaust duct part of the aeroengine is presented to demonstrate the applicability of the proposed method.

  10. Variant Computer Aided Process Planning System for Rotational Parts

    Institute of Scientific and Technical Information of China (English)

    AHMED Hassan; YAO Zhen-qiang; CAI Jian-guo

    2005-01-01

    The amount of material must be removed away to produce the final product should minimize, excess stock will increase not only the material cost, but also processing cost, fixture cost, tooling cost, and increases machine cycle times.Noticing in recent years that the world is running out of mineral resources, and the price of engineering materials will continually rise in the future, the percentage of the cost of manufactured part that is due to the cost of materials is also rising. This paper proposed a variant CAPP system for rotational parts based on the concept of group technology,this system accepts part features characteristics code number as an input and provides operation details for manufacturing route with the suitable primary processes required to produce the blank work piece as an output.

  11. Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process

    Directory of Open Access Journals (Sweden)

    Shahid Ikramullah Butt

    2017-01-01

    Full Text Available Advanced vision solutions enable manufacturers in the technology sector to reconcile both competitive and regulatory concerns and address the need for immaculate fault detection and quality assurance. The modern manufacturing has completely shifted from the manual inspections to the machine assisted vision inspection methodology. Furthermore, the research outcomes in industrial automation have revolutionized the whole product development strategy. The purpose of this research paper is to introduce a new scheme of automation in the sand casting process by means of machine vision based technology for mold positioning. Automation has been achieved by developing a novel system in which casting molds of different sizes, having different pouring cup location and radius, position themselves in front of the induction furnace such that the center of pouring cup comes directly beneath the pouring point of furnace. The coordinates of the center of pouring cup are found by using computer vision algorithms. The output is then transferred to a microcontroller which controls the alignment mechanism on which the mold is placed at the optimum location.

  12. Image-Based Single Cell Profiling: High-Throughput Processing of Mother Machine Experiments

    Science.gov (United States)

    Sachs, Christian Carsten; Grünberger, Alexander; Helfrich, Stefan; Probst, Christopher; Wiechert, Wolfgang; Kohlheyer, Dietrich; Nöh, Katharina

    2016-01-01

    Background Microfluidic lab-on-chip technology combined with live-cell imaging has enabled the observation of single cells in their spatio-temporal context. The mother machine (MM) cultivation system is particularly attractive for the long-term investigation of rod-shaped bacteria since it facilitates continuous cultivation and observation of individual cells over many generations in a highly parallelized manner. To date, the lack of fully automated image analysis software limits the practical applicability of the MM as a phenotypic screening tool. Results We present an image analysis pipeline for the automated processing of MM time lapse image stacks. The pipeline supports all analysis steps, i.e., image registration, orientation correction, channel/cell detection, cell tracking, and result visualization. Tailored algorithms account for the specialized MM layout to enable a robust automated analysis. Image data generated in a two-day growth study (≈ 90 GB) is analyzed in ≈ 30 min with negligible differences in growth rate between automated and manual evaluation quality. The proposed methods are implemented in the software molyso (MOther machine AnaLYsis SOftware) that provides a new profiling tool to analyze unbiasedly hitherto inaccessible large-scale MM image stacks. Conclusion Presented is the software molyso, a ready-to-use open source software (BSD-licensed) for the unsupervised analysis of MM time-lapse image stacks. molyso source code and user manual are available at https://github.com/modsim/molyso. PMID:27661996

  13. HTRDP evaluations on Chinese information processing and intelligent human-machine interface

    Institute of Scientific and Technical Information of China (English)

    LIU Qun; LIN Shouxun; QIAN Yueliang; WANG Xiangdong; LIU Hong; SUN Le; TANG Sheng; XIONG Deyi; HOU Hongxu; LV Yuanhua; LI Wenbo

    2007-01-01

    From 1991 to 2005,China's High Technology Research and Development Program (HTRDP)sponsored a series of technology evaluations on Chinese information processing and intelligent human-machine interface,which is called HTRDP evaluations,or "863" evaluations in brief.This paper introduces the HTRDP evaluations in detail.The general information of the HTRDP evaluation is presented first,including the history,the concerned technology categories,the organizer,the participants,and the procedure,etc.Then the evaluations on each technology are described in detail respectively,covering Chinese word segmentation,machine translation,acoustic speech recognition,text to speech,text summarization,text categorization,information retrieval,character recognition,and face detection and recognition.For the evaluations on each technology categories,the history,the evaluation tasks,the data,the evaluation method,etc.,are given.The last section concludes the paper and discusses possible future work.

  14. The Pantex Process model: Formulations of the evaluation planning module

    Energy Technology Data Exchange (ETDEWEB)

    JONES,DEAN A.; LAWTON,CRAIG R.; LIST,GEORGE FISHER; TURNQUIST,MARK ALAN

    1999-12-01

    This paper describes formulations of the Evaluation Planning Module that have been developed since its inception. This module is one of the core algorithms in the Pantex Process Model, a computerized model to support production planning in a complex manufacturing system at the Pantex Plant, a US Department of Energy facility. Pantex is responsible for three major DOE programs -- nuclear weapons disposal, stockpile evaluation, and stockpile maintenance -- using shared facilities, technicians, and equipment. The model reflects the interactions of scheduling constraints, material flow constraints, and the availability of required technicians and facilities.

  15. The SNS Machine Protection System Early Commissioning Results and Future Plans

    CERN Document Server

    Sibley, Coles; Jones, Alan; Justice, Thomas A; Thompson, Dave H

    2005-01-01

    The Spallation Neutron Source under construction in Oak Ridge TN has commissioned low power beam up to 187 Mev. The number of MPS inputs is about 20% of the final number envisioned. Start-up problems, including noise and false trips, have largely been overcome by replacing copper with fiber and adding filters as required. Initial recovery time from Machine Protection System (MPS) trips was slow due to a hierarchy of latched inputs in the system: at the device level, at the MPS input layer, and at the operator interface level. By reprogramming the MPS FPGA such that all resets were at the input devices, MPS availability improved to acceptable levels. For early commissioning MPS inputs will be limited to beam line devices that will prohibit beam operation. For later operation, the number of MPS inputs will increase both software alarms and less intrusive MPS inputs such as steering magnets are implemented. Two upgrades to SNS are on the horizon: a 3 MW upgrade and a second target station. Although these are yea...

  16. Process Modeling In Cold Forging Considering The Process-Tool-Machine Interactions

    Science.gov (United States)

    Kroiss, Thomas; Engel, Ulf; Merklein, Marion

    2010-06-01

    In this paper, a methodic approach is presented for the determination and modeling of the axial deflection characteristic for the whole system of stroke-controlled press and tooling system. This is realized by a combination of experiment and FE simulation. The press characteristic is uniquely measured in experiment. The tooling system characteristic is determined in FE simulation to avoid experimental investigations on various tooling systems. The stiffnesses of press and tooling system are combined to a substitute stiffness that is integrated into the FE process simulation as a spring element. Non-linear initial effects of the press are modeled with a constant shift factor. The approach was applied to a full forward extrusion process on a press with C-frame. A comparison between experiments and results of the integrated FE simulation model showed a high accuracy of the FE model. The simulation model with integrated deflection characteristic represents the entire process behavior and can be used for the calculation of a mathematical process model based on variant simulations and response surfaces. In a subsequent optimization step, an adjusted process and tool design can be determined, that compensates the influence of the deflections on the workpiece dimensions leading to high workpiece accuracy. Using knowledge on the process behavior, the required number of variant simulations was reduced.

  17. The optimization of operating parameters on microalgae upscaling process planning.

    Science.gov (United States)

    Ma, Yu-An; Huang, Hsin-Fu; Yu, Chung-Chyi

    2016-03-01

    The upscaling process planning developed in this study primarily involved optimizing operating parameters, i.e., dilution ratios, during process designs. Minimal variable cost was used as an indicator for selecting the optimal combination of dilution ratios. The upper and lower mean confidence intervals obtained from the actual cultured cell density data were used as the final cell density stability indicator after the operating parameters or dilution ratios were selected. The process planning method and results were demonstrated through three case studies of batch culture simulation. They are (1) final objective cell densities were adjusted, (2) high and low light intensities were used for intermediate-scale cultures, and (3) the number of culture days was expressed as integers for the intermediate-scale culture.

  18. Strategic Planning Process and Organizational Structure: Impacts, Confluence and Similarities

    Directory of Open Access Journals (Sweden)

    Dyogo Felype Neis

    2017-01-01

    Full Text Available This article aims to analyze the relationship between the strategic planning process and organizational structure in the reality of a complex organization: the Public Prosecutor’s Office of Santa Catarina (MPSC. The research is set by the single case study research strategy and data were collected through the following instruments: bibliographical research, documentary research, semi-structured interviews and systematic observation. The conclusion indicates that the phases of the strategic planning process influence and are influenced by the elements of the organizational structure and highlights the confluences, the impacts and similarities between the stages of formulation and implementation of the strategic process with the various constituent elements of the organizational structure.

  19. UTILITY OF THE METHOD T.H.M. (MACHINE - HOUR - RATE PRODUCTION CENTURY PROCESS AUTOMATION

    Directory of Open Access Journals (Sweden)

    Cristina-Otilia, ȚENOVICI

    2014-11-01

    Full Text Available The method T.H.M. (machine - hour - rate gives greater accuracy in the factories or departments, where production is largely by machinery. In the specialty literature, the notion of price - the time - the car is defined as "œa rate calculated by dividing the budgeted or estimated overhead or labour and overhead cost attributable to a machine or group of similar machines by the appropriate number of machine hours. The hours may be the number of hours for which the machine or group is expected to be operated, the number of hours which would relate to normal working for the factory, or full capacity". In a highly mechanised cost centre, majority of the overhead expenses are incurred on account of using the machine, such as, depreciation, power, repairs and maintenance, insurance, etc. This method is currently offering the most equitable basis for absorption of overheads in machine intensive cost centres.

  20. Optimization of Process Parameters on MRR and Overcut in Electrochemical Micro Machining on Metal Matrix Composites Using Grey Relational Analysis

    Directory of Open Access Journals (Sweden)

    S.Dharmalingam

    2014-05-01

    Full Text Available This paper investigates the influence of the process parameters like machining voltage, electrolyte concentration, frequency on the over cut and Material Removal Rate (MRR through taguchi methodology and grey relational analysis. This paper discusses a methodology for the optimization of the machining parameters on drilling of Al - 6% Gr Metal Matrix composites using Electrochemical Micro Machining (EMM. Based on the analysis, optimum levels of parameters were determined and the same to validate through the confirmation test. Experimental results are in close agreement with the developed model. The confirmation results reveal that, there is considerable improvement in Material Removal Rate, Overcut, Grey relational grade are improved by 08.33 %, 41.17 % and 81.77 % respectively. It is observed that the machining performance can be effectively improved with respect to initial parametric setting.

  1. AUV Local Path Planning Based on Acoustic Image Processing

    Institute of Scientific and Technical Information of China (English)

    LI Ye; CHANG Wen-tian; JIANG Da-peng; ZHANG Tie-dong; SU Yu-min

    2006-01-01

    The forward-looking image sonar is a necessary vision device for Autonomous Underwater Vehicles (AUV). Based on the acoustic image received from forward-looking image sonar, AUV local path is planned. When the environment model is made to adapt to local path planning, an iterative algorithm of binary conversion is used for image segmentation. Raw data of the acoustic image, which were received from serial port, are processed. By the use of "Mathematic Morphology" to filter noise, a mathematic model of environment for local path planning is established after coordinate transformation. The optimal path is searched by the distant transmission (Dt) algorithm. Simulation is conducted for the analysis of the algorithm. Experiment on the sea proves it reliable.

  2. Machine vision process monitoring on a poultry processing kill line: results from an implementation

    Science.gov (United States)

    Usher, Colin; Britton, Dougl; Daley, Wayne; Stewart, John

    2005-11-01

    Researchers at the Georgia Tech Research Institute designed a vision inspection system for poultry kill line sorting with the potential for process control at various points throughout a processing facility. This system has been successfully operating in a plant for over two and a half years and has been shown to provide multiple benefits. With the introduction of HACCP-Based Inspection Models (HIMP), the opportunity for automated inspection systems to emerge as viable alternatives to human screening is promising. As more plants move to HIMP, these systems have the great potential for augmenting a processing facilities visual inspection process. This will help to maintain a more consistent and potentially higher throughput while helping the plant remain within the HIMP performance standards. In recent years, several vision systems have been designed to analyze the exterior of a chicken and are capable of identifying Food Safety 1 (FS1) type defects under HIMP regulatory specifications. This means that a reliable vision system can be used in a processing facility as a carcass sorter to automatically detect and divert product that is not suitable for further processing. This improves the evisceration line efficiency by creating a smaller set of features that human screeners are required to identify. This can reduce the required number of screeners or allow for faster processing line speeds. In addition to identifying FS1 category defects, the Georgia Tech vision system can also identify multiple "Other Consumer Protection" (OCP) category defects such as skin tears, bruises, broken wings, and cadavers. Monitoring this data in an almost real-time system allows the processing facility to address anomalies as soon as they occur. The Georgia Tech vision system can record minute-by-minute averages of the following defects: Septicemia Toxemia, cadaver, over-scald, bruises, skin tears, and broken wings. In addition to these defects, the system also records the length and

  3. An e-quality control model for multistage machining processes of workpieces

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    To track and control the changes of process quality attributes in multistage machining processes(MMPs),an e-quality control(e-QC) model is proposed.The e-QC model is defined as a quality information service node with e-formalizing technology,whose input/output and intermediate process(that is IPO) are known to other nodes,and its implemention in MMPs is provided.In order to establish the e-QC model,a measuring network is constructed to acquire the original quality data,and the changes of process quality attributes are monitored and diagnosed by the integrated quality analysis tools attached to the e-QC,which can be tracked by information template network in real time.Furthermore,a hierarchical control method is adopted to coordinate e-QCs,in which the quality loss and adjusting cost are used to quantify the opportunities for e-QCs to improve process quality.At last,a prototype is developed to verify the proposed methods.

  4. An Approach to Realizing Process Control for Underground Mining Operations of Mobile Machines.

    Directory of Open Access Journals (Sweden)

    Zhen Song

    Full Text Available The excavation and production in underground mines are complicated processes which consist of many different operations. The process of underground mining is considerably constrained by the geometry and geology of the mine. The various mining operations are normally performed in series at each working face. The delay of a single operation will lead to a domino effect, thus delay the starting time for the next process and the completion time of the entire process. This paper presents a new approach to the process control for underground mining operations, e.g. drilling, bolting, mucking. This approach can estimate the working time and its probability for each operation more efficiently and objectively by improving the existing PERT (Program Evaluation and Review Technique and CPM (Critical Path Method. If the delay of the critical operation (which is on a critical path inevitably affects the productivity of mined ore, the approach can rapidly assign mucking machines new jobs to increase this amount at a maximum level by using a new mucking algorithm under external constraints.

  5. Dynamic Process Analysis In Cutting Zone During Machining Of Nickel Alloys

    Science.gov (United States)

    Czán, Andrej; Šajgalík, Michal; Martikáň, Anton; Mrázik, Jozef

    2015-12-01

    To generally improve effectivity of parts production and metal cutting process, there are used process models of super alloys together with finite element modeling simulations. Advanced measurement methods of the process could improve and verify the accuracy of these models. These methods cause many error sources when using empiric or exact methods such as infrared radiation thermography to measure the temperature distribution of the tool, workpiece, and chip during metal cutting. Measuring of metal machining is challenging due to factors such as the high magnification required, high surface speeds and deformations, micro-blackbody effects, changing emissivity and deformations present at metal cutting. As part of an ongoing effort to improve our understanding of uncertainties associated with these measurement methods, multimeasurement sets of experiments were performed. First set of measurements observed connection between surface temperature and the internal temperature of the cutting tool. This was accomplished by measuring the temperature using a thermal camera in cutting zone. Second set performed high-speed scan of dynamic processes such as formation of elastic and plastic deformation. During this operation was applied high-speed scannning system using macro conversion lens for monitoring of micro-structural changes in deformation areas. Next necessary applied set is recording of dynamic processes by implementation of piezoelectric measurement device for monitoring of cutting forces. The outputs from multimeasuring system are the basis for verification of theoretical knowledge from this field and elimination of uncertainties, which arise by using computer simulation systems.

  6. An e-quality control model for multistage machining processes of workpieces

    Institute of Scientific and Technical Information of China (English)

    LIU DaoYu; JIANG PingYu; ZHANG YingFeng

    2008-01-01

    To track and control the changes of process quality attributes in multistage ma-chining processes (MMPs), an e-quality control (e-QC) model is proposed. The e-QC model is defined as a quality information service node with e-formalizing technology, whose input/output and intermediate process (that is IPO) are known to other nodes, and its implemention in MMPs is provided. In order to establish the e-QC model, a measuring network is constructed to acquire the original quality data, and the changes of process quality attributes are monitored and diagnosed by the integrated quality analysis tools attached to the e-QC, which can be tracked by in-formation template network in real time. Furthermore, a hierarchical control method is adopted to coordinate e-QCs, in which the quality loss and adjusting cost are used to quantify the opportunities for e-QCs to improve process quality. At last, a prototype is developed to verify the proposed methods.

  7. Planning and scheduling for agile manufacturers: The Pantex Process Model

    Energy Technology Data Exchange (ETDEWEB)

    Kjeldgaard, E.A. [Sandia National Labs., Albuquerque, NM (United States). Transportation Systems Analysis Dept.; Jones, D.A. [Parallax, Inc., Albuquerque, NM (United States); List, G.F. [Rensselaer Polytechnic Inst., Troy, NY (United States); Tumquist, M.A. [Cornell Univ., Ithaca, NY (United States)

    1998-02-01

    Effective use of resources that are shared among multiple products or processes is critical for agile manufacturing. This paper describes the development and implementation of a computerized model to support production planning in a complex manufacturing system at the Pantex Plant, a US Department of Energy facility. The model integrates two different production processes (nuclear weapon disposal and stockpile evaluation) that use common facilities and personnel at the plant. The two production processes are characteristic of flow-shop and job shop operations. The model reflects the interactions of scheduling constraints, material flow constraints, and the availability of required technicians and facilities. Operational results show significant productivity increases from use of the model.

  8. Man-machine interactive imaging and data processing using high-speed digital mass storage

    Science.gov (United States)

    Alsberg, H.; Nathan, R.

    1975-01-01

    The role of vision in teleoperation has been recognized as an important element in the man-machine control loop. In most applications of remote manipulation, direct vision cannot be used. To overcome this handicap, the human operator's control capabilities are augmented by a television system. This medium provides a practical and useful link between workspace and the control station from which the operator perform his tasks. Human performance deteriorates when the images are degraded as a result of instrumental and transmission limitations. Image enhancement is used to bring out selected qualities in a picture to increase the perception of the observer. A general purpose digital computer, an extensive special purpose software system is used to perform an almost unlimited repertoire of processing operations.

  9. FPGA implementation of hardware processing modules as coprocessors in brain-machine interfaces.

    Science.gov (United States)

    Wang, Dong; Hao, Yaoyao; Zhu, Xiaoping; Zhao, Ting; Wang, Yiwen; Chen, Yaowu; Chen, Weidong; Zheng, Xiaoxiang

    2011-01-01

    Real-time computation, portability and flexibility are crucial for practical brain-machine interface (BMI) applications. In this work, we proposed Hardware Processing Modules (HPMs) as a method for accelerating BMI computation. Two HPMs have been developed. One is the field-programmable gate array (FPGA) implementation of spike sorting based on probabilistic neural network (PNN), and the other is the FPGA implementation of neural ensemble decoding based on Kalman filter (KF). These two modules were configured under the same framework and tested with real data from motor cortex recording in rats performing a lever-pressing task for water rewards. Due to the parallelism feature of FPGA, the computation time was reduced by several dozen times, while the results are almost the same as those from Matlab implementations. Such HPMs provide a high performance coprocessor for neural signal computation.

  10. Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem

    Directory of Open Access Journals (Sweden)

    S. Molla-Alizadeh-Zavardehi

    2014-01-01

    Full Text Available This paper deals with a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM scheduling in the presence of fuzzy due date. In this paper, first a fuzzy mixed integer linear programming model is developed. Then, due to the complexity of the problem, which is NP-hard, we design two hybrid metaheuristics called GA-VNS and VNS-SA applying the advantages of genetic algorithm (GA, variable neighborhood search (VNS, and simulated annealing (SA frameworks. Besides, we propose three fuzzy earliest due date heuristics to solve the given problem. Through computational experiments with several random test problems, a robust calibration is applied on the parameters. Finally, computational results on different-scale test problems are presented to compare the proposed algorithms.

  11. Image processing with genetic algorithm in a raisin sorting system based on machine vision

    Science.gov (United States)

    Abbasgholipour, Mahdi; Alasti, Behzad Mohammadi; Abbasgholipour, Vahdi; Derakhshan, Ali; Abbasgholipour, Mohammad; Rahmatfam, Sharmin; Rahmatfam, Sheyda; Habibifar, Rahim

    2012-04-01

    This study was undertaken to develop machine vision-based raisin detection technology. Supervised color image segmentation using a Permutation-coded Genetic Algorithm (GA) identifying regions in Hue-Saturation-Intensity (HSI) color space (GAHSI) for desired and undesired raisin detection was successfully implemented. Images were captured to explore the possibility of using GAHSI to locate desired raisin and undesired raisin regions in color space simultaneously. In this research, images were processed separately using three segmentation method, K-Means clustering in L*a*b* color space and GAHSI for single image, GA for single image in Red-Green-Blue (RGB) color space (GARGB). The GAHSI results provided evidence for the existence and separability of such regions. When compared with cluster analysis-based segmentation results, the GAHSI method showed no significant difference.

  12. Hybrid metaheuristics for solving a fuzzy single batch-processing machine scheduling problem.

    Science.gov (United States)

    Molla-Alizadeh-Zavardehi, S; Tavakkoli-Moghaddam, R; Lotfi, F Hosseinzadeh

    2014-01-01

    This paper deals with a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM) scheduling in the presence of fuzzy due date. In this paper, first a fuzzy mixed integer linear programming model is developed. Then, due to the complexity of the problem, which is NP-hard, we design two hybrid metaheuristics called GA-VNS and VNS-SA applying the advantages of genetic algorithm (GA), variable neighborhood search (VNS), and simulated annealing (SA) frameworks. Besides, we propose three fuzzy earliest due date heuristics to solve the given problem. Through computational experiments with several random test problems, a robust calibration is applied on the parameters. Finally, computational results on different-scale test problems are presented to compare the proposed algorithms.

  13. Determination of Some Mechanical Properties of Almond Seed Related to Design of Food Processing Machines

    Directory of Open Access Journals (Sweden)

    M. O. Sunmonu

    2015-06-01

    Full Text Available In this study, some selected mechanical properties of red and white varieties of Almond seeds grown in Nigeria were determined using Testometric M500 – 100AT machine. The fracture force, compressive strength, deformation at yield for red varieties were 2679.40 ± 580.29 N, 408.70 ± 41.90 N/mm2 and 7.03 ± 0.65 mm respectively. The values obtained for the white varieties were 2843.90 ± 330.22 N, 396.20 ± 49.40 N/mm2, and 7.27 ± 0.46 mm. The determined engineering properties are vital for the design of postharvest handling and processing systems for Almond seeds as statistical test showed that there are significant differences (at 5% level between the engineering properties of the two seeds studied.

  14. The Application of the GM (1,1) Metabolism Model to Error Data Processing of NC Machine Tools

    Institute of Scientific and Technical Information of China (English)

    LIAO De-gang; XIONG Xiao-hong

    2003-01-01

    This paper applied the gray system theory to error data processing of NC machine tools ac cording to the characteristic. It presented the gray metabolism model of error data processing. The test method for the model needs less capacity. Practice proved that the method is simple, calculation is easy, and results are exact.

  15. Process Design of Shaft Machining with General Machine Tool%普通机床加工轴的工艺设计

    Institute of Scientific and Technical Information of China (English)

    王德鹏

    2015-01-01

    通常用轴传递动力和扭矩或者支撑位于轴上的传动零部件,并使之保持相对位置。根据轴的受力特点不同,一般采用阶梯轴结构,才能满足要求。在普通机床轴的加工,效率较低,精度不容易达到要求。本文通过某阶梯轴的零件分析及工艺分析,设计出了较合理的机械加工工艺,在保证加工质量的前提上,对提高生产效率,合理使用机床等进行了有益探讨。%Usually the shaft is used to transmit power and torque or support the transmission parts on the shaft and keep their position. According to the different loading features of the shaft, usually stepped shaft is adopted to meet the requirements. The processing of shaft with general machine tool is low in efficiency and can't meet the desired accuracy. Through part analysis and process analysis of a kind of stepped shaft, a reasonable machining process technology is designed, which is beneficial for improving production efficiency and reasonable use of the machine tool o the basis of ensuring the processing quality.

  16. Focused particle beam nano-machining: the next evolution step towards simulation aided process prediction.

    Science.gov (United States)

    Plank, Harald

    2015-02-06

    During the last decade, focused ion beam processing has been developed from traditionally used Ga(+) liquid ion sources towards higher resolution gas field ion sources (He(+) and Ne(+)). Process simulations not only improve the fundamental understanding of the relevant ion-matter interactions, but also enable a certain predictive power to accelerate advances. The historic 'gold' standard in ion-solid simulations is the SRIM/TRIM Monte Carlo package released by Ziegler, Ziegler and Biersack 2010 Nucl. Instrum. Methods B 268 1818-23. While SRIM/TRIM is very useful for a myriad of applications, it is not applicable for the understanding of the nanoscale evolution associated with ion beam nano-machining as the substrate does not evolve with the sputtering process. As a solution for this problem, a new, adapted simulation code is briefly overviewed and finally addresses these contributions. By that, experimentally observed Ne(+) beam sputter profiles can be explained from a fundamental point of view. Due to their very good agreement, these simulations contain the potential for computer aided optimization towards predictable sputter processes for different nanotechnology applications. With these benefits in mind, the discussed simulation approach represents an enormous step towards a computer based master tool for adaptable ion beam applications in the context of industrial applications.

  17. Focused particle beam nano-machining: the next evolution step towards simulation aided process prediction

    Science.gov (United States)

    Plank, Harald

    2015-02-01

    During the last decade, focused ion beam processing has been developed from traditionally used Ga+ liquid ion sources towards higher resolution gas field ion sources (He+ and Ne+). Process simulations not only improve the fundamental understanding of the relevant ion-matter interactions, but also enable a certain predictive power to accelerate advances. The historic ‘gold’ standard in ion-solid simulations is the SRIM/TRIM Monte Carlo package released by Ziegler, Ziegler and Biersack 2010 Nucl. Instrum. Methods B 268 1818-23. While SRIM/TRIM is very useful for a myriad of applications, it is not applicable for the understanding of the nanoscale evolution associated with ion beam nano-machining as the substrate does not evolve with the sputtering process. As a solution for this problem, a new, adapted simulation code is briefly overviewed and finally addresses these contributions. By that, experimentally observed Ne+ beam sputter profiles can be explained from a fundamental point of view. Due to their very good agreement, these simulations contain the potential for computer aided optimization towards predictable sputter processes for different nanotechnology applications. With these benefits in mind, the discussed simulation approach represents an enormous step towards a computer based master tool for adaptable ion beam applications in the context of industrial applications.

  18. A NEW METRIC APPROACH IN DESIGN PROCESS PLANNING

    Institute of Scientific and Technical Information of China (English)

    刘溪涓; 倪炎榕; 蒋寿伟

    2002-01-01

    Poor plans of design project are often caused by the difficulties in realizing the underlying complexities and immeasurable characteristics in the deisgn process. To overcome this diffculty, a metric approach based on the tasks analysis model of task importance degree was proposed. The model suggests that importance of a task can be measured through the influence to the project incurred by the imaginary failure of the task, which can be measured through three parts: the critical degree of a task to the whole project, the direct cost by the failure of a task, and the indirect cost on the other tasks affected by the failure of the task. The Analytic Hierarchy Process approach was applied to determine the critical degree and Case-based Reasoning idea was used in detecting the implied error in the task. As an application case, a review work planning was given and some conclusions were arrived at.

  19. Automation of printing machine

    OpenAIRE

    Sušil, David

    2016-01-01

    Bachelor thesis is focused on the automation of the printing machine and comparing the two types of printing machines. The first chapter deals with the history of printing, typesettings, printing techniques and various kinds of bookbinding. The second chapter describes the difference between sheet-fed printing machines and offset printing machines, the difference between two representatives of rotary machines, technological process of the products on these machines, the description of the mac...

  20. Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis

    Directory of Open Access Journals (Sweden)

    S. Tripathy

    2016-03-01

    Full Text Available Powder Mixed Electro-Discharge Machining (PMEDM is a hybrid machining process where a conductive powder is mixed to the dielectric fluid to facilitate effective machining of advanced material. In the present work application of Taguchi method in combination with Technique for order of preference by similarity to ideal solution (TOPSIS and Grey Relational Analysis (GRA have been adopted to evaluate the effectiveness of optimizing multiple performance characteristics for PMEDM of H-11 die steel using copper electrode. The effect of process variables such as powder concentration (Cp, peak current (Ip, pulse on time (Ton, duty cycle (DC and gap voltage (Vg on response parameters such as Material Removal Rate (MRR, Tool Wear Rate (TWR, Electrode Wear Ratio (EWR and Surface Roughness (SR have been investigated using chromium powder mixed to the dielectric fluid. Analysis of variance (ANOVA and F-test were performed to determine the significant parameters at a 95% confidence interval. Predicted results have been verified by confirmatory tests which show an improvement of 0.161689 and 0.2593 in the preference values using TOPSIS and GRA respectively. The recommended settings of process parameters is found to be Cp = 6 g/l, Ip = 6Amp, Ton = 100 µs, DC = 90% and Vg = 50 V from TOPSIS and Cp = 6 g/l, Ip = 3Amp, Ton = 150 µs, DC = 70% and Vg = 30 V from GRA. The microstructure analysis has been done for the optimal sample using Scanning Electron Microscope (SEM.

  1. Application of case-based reasoning for machining parameters selection

    Science.gov (United States)

    Grabowik, C.; Kalinowski, K.; Krenczyk, D.; Paprocka, I.; Kempa, W.

    2016-08-01

    Process planning, as one of the most important stage of the technological production preparation, consists in selection of manufacturing operations taking into account the minimal manufacturing cost. The minimal manufacturing cost could be achieved by selection of the best sequence of manufacturing operations, machine tools, manufacturing tools, and accompanying machining parameters selection. On the other hand, it is almost impossible, especially in industrial conditions, to design an optimal process plan, first of all due to restrictions imposed by the installed in the factory machine park. Taking into consideration above, machining parameter selection seems to be one of the potential areas of optimization. In manual process planning process engineers select machining parameters using selection rules and data stored in manuals and tool catalogues. It makes this process time and labour consuming and non-error free. On the other hand, in workshop practice, machine operators select parameters having their skills and habits in mind. It could be a reason for suboptimal process planning. Considering this, new methods of machining parameters selection free of human factor influence are still sought. In our approach, we propose to apply case-based reasoning for machining parameter selection. In the paper, a detailed description of our approach is presented.

  2. An Optically-Assisted 3-D Cellular Array Machine

    Science.gov (United States)

    1993-11-05

    Presented by: Physical Optics Corporation 0 Research & Development Division 20600 Gramercy Place, Suite 103 Torrance, California 90501 Principal...Computer Machine (Constructed Hardware) (Planned Hardware Design) Processing Techniques Digital Only Digital and Analog Analog Processor N/A Celular Neural

  3. 78 FR 8104 - First Phase of the Forest Planning Process for the Bio-Region; Correction

    Science.gov (United States)

    2013-02-05

    ... Forest Service First Phase of the Forest Planning Process for the Bio-Region; Correction AGENCY: USDA...) which concerned initiating a forest planning process under the new planning rule entitled First Phase of... Southwest Region is initiating the first phase of the forest planning process pursuant to the 2012...

  4. Hybrid wavelet-support vector machine approach for modelling rainfall-runoff process.

    Science.gov (United States)

    Komasi, Mehdi; Sharghi, Soroush

    2016-01-01

    Because of the importance of water resources management, the need for accurate modeling of the rainfall-runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfall-runoff modeling and the other fields of hydrology. Similar to the other artificial intelligence models, such as artificial neural network (ANN) and adaptive neural fuzzy inference system, the SVM model is based on the autoregressive properties. In this paper, the wavelet analysis was linked to the SVM model concept for modeling the rainfall-runoff process of Aghchai and Eel River watersheds. In this way, the main time series of two variables, rainfall and runoff, were decomposed to multiple frequent time series by wavelet theory; then, these time series were imposed as input data on the SVM model in order to predict the runoff discharge one day ahead. The obtained results show that the wavelet SVM model can predict both short- and long-term runoff discharges by considering the seasonality effects. Also, the proposed hybrid model is relatively more appropriate than classical autoregressive ones such as ANN and SVM because it uses the multi-scale time series of rainfall and runoff data in the modeling process.

  5. One-step process for superhydrophobic metallic surfaces by wire electrical discharge machining.

    Science.gov (United States)

    Bae, Won Gyu; Song, Ki Young; Rahmawan, Yudi; Chu, Chong Nam; Kim, Dookon; Chung, Do Kwan; Suh, Kahp Y

    2012-07-25

    We present a direct one-step method to fabricate dual-scale superhydrophobic metallic surfaces using wire electrical discharge machining (WEDM). A dual-scale structure was spontaneously formed by the nature of exfoliation characteristic of Al 7075 alloy surface during WEDM process. A primary microscale sinusoidal pattern was formed via a programmed WEDM process, with the wavelength in the range of 200 to 500 μm. Notably, a secondary roughness in the form of microcraters (average roughness, Ra: 4.16 to 0.41 μm) was generated during the exfoliation process without additional chemical treatment. The low surface energy of Al 7075 alloy (γ = 30.65 mJ/m(2)) together with the presence of dual-scale structures appears to contribute to the observed superhydrophobicity with a static contact angle of 156° and a hysteresis less than 3°. To explain the wetting characteristics on dual-scale structures, we used a simple theoretical model. It was found that Cassie state is likely to present on the secondary roughness in all fabricated surfaces. On the other hand, either Wenzel or Cassie state can present on the primary roughness depending on the characteristic length of sinusoidal pattern. In an optimal condition of the serial cutting steps with applied powers of ∼30 and ∼8 kW, respectively, a stable, superhydrophobic metallic surface was created with a sinusoidal pattern of 500 μm wavelength.

  6. Derivation of Process Path Functions in Machining of Al Alloy 7075

    Science.gov (United States)

    Tabei, A.; Shih, D. S.; Garmestani, H.; Liang, S. Y.

    2015-11-01

    The evolution of micro-texture below the machined surface is computationally modeled and experimentally verified. The orientation distribution functions of the grains below the surface were represented in spectral form. The microstructure descriptor coefficients were derived, and their change with respect to the change in the cutting feed rate was computationally calculated and monitored. Micro-texture experimental observations conducted by electron back-scatter diffraction technique verify the modeling outputs. Continuation of changing the process parameter was done by finite element method, and the evolution in texture was investigated by computational modeling. The process path function which correlates micro-texture evolution and cutting feed rate, was obtained by applying the principle of orientation conservation in the Euler space. As a result of the major finding of this work, i.e., derivation of process path functions, the evolution of texture as a function of the material feed rate is numerically determined without any need to texture modeling or finite element analyses.

  7. Automated process parameters tuning for an injection moulding machine with soft computing§

    Institute of Scientific and Technical Information of China (English)

    Peng ZHAO; Jian-zhong FU; Hua-min ZHOU; Shu-biao CUI

    2011-01-01

    In injection moulding production, the tuning of the process parameters is a challenging job, which relies heavily on the experience of skilled operators. In this paper, taking into consideration operator assessment during moulding trials, a novel intelligent model for automated tuning of process parameters is proposed. This consists of case based reasoning (CBR), empirical model (EM), and fuzzy logic (FL) methods. CBR and EM are used to imitate recall and intuitive thoughts of skilled operators,respectively, while FL is adopted to simulate the skilled operator optimization thoughts. First, CBR is used to set up the initial process parameters. If CBR fails, EM is employed to calculate the initial parameters. Next, a moulding trial is performed using the initial parameters. Then FL is adopted to optimize these parameters and correct defects repeatedly until the moulded part is found to be satisfactory. Based on the above methodologies, intelligent software was developed and embedded in the controller of an injection moulding machine. Experimental results show that the intelligent software can be effectively used in practical production, and it greatly reduces the dependence on the experience of the operators.

  8. Participative Facility Planning for Obstetrical and Neonatal Care Processes: Beginning of Life Process

    Directory of Open Access Journals (Sweden)

    Jori Reijula

    2016-01-01

    Full Text Available Introduction. Old hospitals may promote inefficient patient care processes and safety. A new, functionally planned hospital presents a chance to create an environment that supports streamlined, patient-centered healthcare processes and adapts to users’ needs. This study depicts the phases of a facility planning project for pregnant women and newborn care processes (beginning of life process at Turku University Hospital. Materials and Methods. Project design reports and meeting documents were utilized to assess the beginning of life process as well as the work processes of the Women’s and Children’s Hospital. Results. The main elements of the facility design (FD project included rigorous preparation for the FD phase, functional planning throughout the FD process, and setting key values: (1 family-centered care, (2 Lean thinking and Lean tools as the framework for the FD process, (3 safety, and (4 cooperation. Conclusions. A well-prepared FD project with sufficient insight into functional planning, Lean thinking, and user-centricity seemed to facilitate the actual FD process. Although challenges occurred, the key values were not forgone and were successfully incorporated into the new hospital building.

  9. A model for Intelligent Random Access Memory architecture (IRAM) cellular automata algorithms on the Associative String Processing machine (ASTRA)

    CERN Document Server

    Rohrbach, F; Vesztergombi, G

    1997-01-01

    In the near future, the computer performance will be completely determined by how long it takes to access memory. There are bottle-necks in memory latency and memory-to processor interface bandwidth. The IRAM initiative could be the answer by putting Processor-In-Memory (PIM). Starting from the massively parallel processing concept, one reached a similar conclusion. The MPPC (Massively Parallel Processing Collaboration) project and the 8K processor ASTRA machine (Associative String Test bench for Research \\& Applications) developed at CERN \\cite{kuala} can be regarded as a forerunner of the IRAM concept. The computing power of the ASTRA machine, regarded as an IRAM with 64 one-bit processors on a 64$\\times$64 bit-matrix memory chip machine, has been demonstrated by running statistical physics algorithms: one-dimensional stochastic cellular automata, as a simple model for dynamical phase transitions. As a relevant result for physics, the damage spreading of this model has been investigated.

  10. A CONTERPORARYAPPROACH FOR OBTAINING REGULARLY SHAPED ROUGHNESS BY BALL-BURNISHING PROCESS CARIED OUT USINGCNC CONTROLEDMILLING MACHINES

    Directory of Open Access Journals (Sweden)

    STOYAN SLAVOV

    2017-05-01

    Full Text Available The present work describes the main advantages of the implementation a newapproachfor ball-burnishing process, for precisely formation of regularly shaped roughness on external planar and cylindrical functional surfaces from machine parts. The considered approach includes the capabilities of contemporary CAM software products for automated programing, and 3-axis vertical or 4-axis horizontal machining centrescontrolled by CNC. A mathematical model developed for generating the sinusoidal curves, which represents needed toolpaths and an algorithm for obtaining the NC-code for corresponding machine tools are presented. The principle of the purposed processing schemes for ball burnishingof external planar or cylindrical surfaces is described and conclusions about the advantages of the purposed approach are given.

  11. Evolution of the Air Campaign Planning Process and the Contingency Theater Automated Planning System (CTAPS),

    Science.gov (United States)

    1996-01-01

    Intelligence Division CIM Corporate Information Management CINCCENT Commander in Chief, Central Command CIO Central Imagery Office CIS Combat...obtaining, deconflicting, and properly in- corporating order of battle and bomb damage assessment information into the ATO planning process. There were...Karyl, Open Systems Today, "OpenDoc: New Take on Object Technology," 1 August 1994. Soderholm, Steve, Captain, CTAPS Communicatins Connectivity of

  12. STEP-NC oriented parts setup planning based on machining feature clustering%面向STEP-NC基于加工特征规则聚类的零件装夹规划

    Institute of Scientific and Technical Information of China (English)

    欧阳华兵; 沈斌

    2012-01-01

    Aiming at the setup planning problem in parts process planning,a heuristic clustering setup planning solving method oriented to STEP-NC machining feature was proposed.Based on the analysis of STEP-NC data model and machining unit,a mathematical model for setup planning was established.The machining unit was clustered by using manufacturing priority rules of machining features,and the setup scheme set was formed.Through expert estimation and evaluating scheme,these setup scheme sets were ordered.Thus the setup planning scheme that accord with parts setup demand was generated.The concrete shape and stability of parts were considered and each unit’s locating surface as well as clamping surface were determined.Based on Solidworks 3D computer aided design platform,the generation of parts setup planning was realized.The proposed algorithm was verified by examples.%针对零件工艺规划过程中的装夹规划问题,提出一种面向STEP-NC加工特征的启发式聚类装夹规划求解方法。在分析STEP-NC数据模型和加工单元的基础上,建立了零件装夹规划的数学模型,基于加工特征制造优先级规则对加工单元进行聚类分组,形成零件的装夹方案集;随后通过专家打分和评定策略对这些装夹方案集进行排序,生成符合零件装夹要求的装夹规划方案。装夹规划考虑了零件的具体形状及其稳定性等多种约束条件,确定零件每一个加工单元的定位面和装夹面,较好地体现了零件实际加工过程中的装夹情况。基于Solid-works三维计算机辅助设计平台实现了零件装夹规划的生成,通过实例对所提算法进行了验证。

  13. Speed optimized influence matrix processing in inverse treatment planning tools

    Energy Technology Data Exchange (ETDEWEB)

    Ziegenhein, Peter; Wilkens, Jan J; Nill, Simeon; Oelfke, Uwe [German Cancer Research Center (DKFZ), Department of Medical Physics in Radiation Oncology, Im Neuenheimer Feld 280, 69120 Heidelberg (Germany); Ludwig, Thomas [University of Heidelberg, Institute of Computer Science, Research Group Parallel and Distributed Systems, Im Neuenheimer Feld 348, 69120 Heidelberg (Germany)], E-mail: p.ziegenhein@dkfz.de, E-mail: u.oelfke@dkfz.de

    2008-05-07

    An optimal plan in modern treatment planning tools is found through the use of an iterative optimization algorithm, which deals with a high amount of patient-related data and number of treatment parameters to be optimized. Thus, calculating a good plan is a very time-consuming process which limits the application for patients in clinics and for research activities aiming for more accuracy. A common technique to handle the vast amount of radiation dose data is the concept of the influence matrix (DIJ), which stores the dose contribution of each bixel to the patient in the main memory of the computer. This study revealed that a bottleneck for the optimization time arises from the data transfer of the dose data between the memory and the CPU. In this note, we introduce a new method which speeds up the data transportation from stored dose data to the CPU. As an example we used the DIJ approach as is implemented in our treatment planning tool KonRad, developed at the German Cancer Research Center (DKFZ) in Heidelberg. A data cycle reordering method is proposed to take the advantage of modern memory hardware. This induces a minimal eviction policy which results in a memory behaviour exhibiting a 2.6 times faster algorithm compared to the naive implementation. Although our method is described for the DIJ approach implemented in KonRad, we believe that any other planning tool which uses a similar approach to store the dose data will also benefit from the described methods. (note)

  14. The plan as a project comprehending its process

    Directory of Open Access Journals (Sweden)

    Giuseppe Ridolfi

    2011-11-01

    Full Text Available The article outlines a methodology for the building planning, which is the result of studies and applied research carried out by the author over recent decades for the reorganisation of school networks, intermunicipal multipolar universities, university campuses and parallel experiences for the reshaping of hospital centres and structural healthcare systems on a large scale. The method reproposes the open project and metaproject making its operability topical in light of the recent paradigms of rational methods of practice and the opportunities offered by IT and value management. The aim is to present the project-related nature of the plan as a project comprehending its process, focusing on designing a dynamic and interactive pathway, one that might even be disconnected, capable of highlighting, interacting and composing the majority of material and immaterial resources for the construction of sense and consensus.

  15. Analysis of machining and machine tools

    CERN Document Server

    Liang, Steven Y

    2016-01-01

    This book delivers the fundamental science and mechanics of machining and machine tools by presenting systematic and quantitative knowledge in the form of process mechanics and physics. It gives readers a solid command of machining science and engineering, and familiarizes them with the geometry and functionality requirements of creating parts and components in today’s markets. The authors address traditional machining topics, such as: single and multiple point cutting processes grinding components accuracy and metrology shear stress in cutting cutting temperature and analysis chatter They also address non-traditional machining, such as: electrical discharge machining electrochemical machining laser and electron beam machining A chapter on biomedical machining is also included. This book is appropriate for advanced undergraduate and graduate mechani cal engineering students, manufacturing engineers, and researchers. Each chapter contains examples, exercises and their solutions, and homework problems that re...

  16. An Exploration of Strategic Planning Perspectives and Processes within Community Colleges Identified as Being Distinctive in Their Strategic Planning Practices

    Science.gov (United States)

    Augustyniak, Lisa J.

    2015-01-01

    Community college leaders face unprecedented change, and some have begun reexamining their institutional strategic planning processes. Yet, studies in higher education strategic planning spend little time examining how community colleges formulate their strategic plans. This mixed-method qualitative study used an expert sampling method to identify…

  17. An Exploration of Strategic Planning Perspectives and Processes within Community Colleges Identified as Being Distinctive in Their Strategic Planning Practices

    Science.gov (United States)

    Augustyniak, Lisa J.

    2015-01-01

    Community college leaders face unprecedented change, and some have begun reexamining their institutional strategic planning processes. Yet, studies in higher education strategic planning spend little time examining how community colleges formulate their strategic plans. This mixed-method qualitative study used an expert sampling method to identify…

  18. Research on Microcrack Extension Mechanism of SiCp/Al in the Machining Process

    Institute of Scientific and Technical Information of China (English)

    张志军; 王领; 王利波

    2012-01-01

    The generation and development of microcracks of SiCp/Al materials in the machining process were researched, and the forming causes and mechanism of the cut surface morphology for ap = 0. 2 mm or ap = 0.4 mm and at 2 m/rain 10 m/min were systematically analyzed. The supporting and " floor " roles of aluminum are wake at a shallower cutting depth and a lower speed, the SiC particles are shed under the role of cutting force, and the microcrack size of cut surface is larger. With the increase in the cutting depth and the cutting speed, the cutting temperature increases, the supporting and "floor" roles of aluminum are enhanced, the shedding and fracture of the reinforcement particles are flexible under the ac- tion of the cutting force, the fracture of cutting transforms from brittle to ductile, and the expansion of microcrack on the en- tire surface tends to balance with a smaller size. A curve between the cutting force and the cutting speed was plotted, a microcrack form of the cut surface was given, and some theoretical basis is provided for the mechanical processing and the surface quality.

  19. An Efficient Multiobjective Backtracking Search Algorithm for Single Machine Scheduling with Controllable Processing Times

    Directory of Open Access Journals (Sweden)

    Chao Lu

    2017-01-01

    Full Text Available The scheduling problem with controllable processing times (CPT is one of the most important research topics in the scheduling field due to its widespread application. Because of the complexity of this problem, a majority of research mainly addressed single-objective small scale problems. However, most practical problems are multiobjective and large scale issues. Multiobjective metaheuristics are very efficient in solving such problems. This paper studies a single machine scheduling problem with CPT for minimizing total tardiness and compression cost simultaneously. We aim to develop a new multiobjective discrete backtracking search algorithm (MODBSA to solve this problem. To accommodate the characteristic of the problem, a solution representation is constructed by a permutation vector and an amount vector of compression processing times. Furthermore, two major improvement strategies named adaptive selection scheme and total cost reduction strategy are developed. The adaptive selection scheme is used to select a suitable population to enhance the search efficiency of MODBSA, and the total cost reduction strategy is developed to further improve the quality of solutions. For the assessment of MODBSA, MODBSA is compared with other algorithms including NSGA-II, SPEA2, and PAES. Experimental results demonstrate that the proposed MODBSA is a promising algorithm for such scheduling problem.

  20. Hard rock tunnel boring machine penetration test as an indicator of chipping process efficiency

    Directory of Open Access Journals (Sweden)

    M.C. Villeneuve

    2017-08-01

    Full Text Available The transition from grinding to chipping can be observed in tunnel boring machine (TBM penetration test data by plotting the penetration rate (distance/revolution against the net cutter thrust (force per cutter over the full range of penetration rates in the test. Correlating penetration test data to the geological and geomechanical characteristics of rock masses through which a penetration test is conducted provides the ability to reveal the efficiency of the chipping process in response to changing geological conditions. Penetration test data can also be used to identify stress-induced tunnel face instability. This research shows that the strength of the rock is an important parameter for controlling how much net cutter thrust is required to transition from grinding to chipping. It also shows that the geological characteristics of a rock will determine how efficient chipping occurs once it has begun. In particular, geological characteristics that lead to efficient fracture propagation, such as fabric and mica contents, will lead to efficient chipping. These findings will enable a better correlation between TBM performance and geological conditions for use in TBM design, as a basis for contractual payments where penetration rate dominates the excavation cycle and in further academic investigations into the TBM excavation process.

  1. 基于遗传算法的加工工艺规划研究%RESEARCH OF PROCESS PLANNING BASED ON GENETIC ALGORITHM

    Institute of Scientific and Technical Information of China (English)

    李梅竹

    2011-01-01

    A uniform optimization model of process planning is brought forward to gain the global optimum in entire solution space for process planning using genetic algorithm. Operation sequencing, jigging tool-selecting, and cutting tool-selecting in each operation are optimized as the whole. The optimal process planning is educed by genetic computation. Firstly, the scheme graphs are created by analyzing machining methods of typical machining surfaces. Using graph algorithm, we can get all the machining methods of any machining surface. Secondly, according to the step,the evaluating system for process planning, considering such criterion as time, precision and cost, is created. Lastly, the prototype system is applied to a practical process planning case.%为了得到工艺方案的全局最优解,采用遗传算法建立了一个统一的工艺方案优化模型,将加工序列和每道工序的装夹选择、刀具选择等作为一个有机整体进行优化,通过遗传算法得出了优化的工艺方案.首先给出典型加工特征的加工方案图,再对其进行图操作获取加工特征的可行加工方法,然后根据遗传算法的基本步骤,建立综合考虑时间、精度和成本的多目标工艺方案评价体系,最后用实例验证了该算法的有效性.

  2. Strategic Optimization and Investigation Effect Of Process Parameters On Performance Of Wire Electric Discharge Machine (WEDM

    Directory of Open Access Journals (Sweden)

    ATUL KUMAR

    2012-06-01

    Full Text Available Wire electrical discharge machining (WEDM is widely used in machining of conductive materials when precision is of primary significance. Wire-cut electric discharge machining of Skd 61alloy has been considered in the present work. Experimentation has been completed by using Taguchi’s L18 (21x37 orthogonal array under different conditions of parameters. Optimal combinations of parameters were obtained by this technique. The study shows that with the minimum number of experiments the complete problem can be solvedwhen compared to full factorial design. Experimental results make obvious that the machining model is proper and the Taguchi’s method satisfies the practical conditions. The results obtained are analyzed for the selection of an optimal combination of WEDM parameters for proper machining of Skd 61 alloy to achieve better surface finish. Different analysis was made on the data obtained from the experiments.

  3. Efficient production by laser materials processing integrated into metal cutting machines

    Science.gov (United States)

    Wiedmaier, M.; Meiners, E.; Dausinger, Friedrich; Huegel, Helmut

    1994-09-01

    Beam guidance of high power YAG-laser (cw, pulsed, Q-switched) with average powers up to 2000 W by flexible glass fibers facilitates the integration of the laser beam as an additional tool into metal cutting machines. Hence, technologies like laser cutting, joining, hardening, caving, structuring of surfaces and laser-marking can be applied directly inside machining centers in one setting, thereby reducing the flow of workpieces resulting in a lowering of costs and production time. Furthermore, materials with restricted machinability--especially hard materials like ceramics, hard metals or sintered alloys--can be shaped by laser-caving or laser assisted machining. Altogether, the flexibility of laser integrated machining centers is substantially increased or the efficiency of a production line is raised by time-savings or extended feasibilities with techniques like hardening, welding or caving.

  4. Facility Effluent Monitoring Plan for the 325 Radiochemical Processing Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Shields, K.D.; Ballinger, M.Y.

    1999-04-02

    This Facility Effluent Monitoring Plan (FEMP) has been prepared for the 325 Building Radiochemical Processing Laboratory (RPL) at the Pacific Northwest National Laboratory (PNNL) to meet the requirements in DOE Order 5400.1, ''General Environmental Protection Programs.'' This FEMP has been prepared for the RPL primarily because it has a ''major'' (potential to emit >0.1 mrem/yr) emission point for radionuclide air emissions according to the annual National Emission Standards for Hazardous Air Pollutants (NESHAP) assessment performed. This section summarizes the airborne and liquid effluents and the inventory based NESHAP assessment for the facility. The complete monitoring plan includes characterization of effluent streams, monitoring/sampling design criteria, a description of the monitoring systems and sample analysis, and quality assurance requirements. The RPL at PNNL houses radiochemistry research, radioanalytical service, radiochemical process development, and hazardous and radioactive mixed waste treatment activities. The laboratories and specialized facilities enable work ranging from that with nonradioactive materials to work with picogram to kilogram quantities of fissionable materials and up to megacurie quantities of other radionuclides. The special facilities within the building include two shielded hot-cell areas that provide for process development or analytical chemistry work with highly radioactive materials and a waste treatment facility for processing hazardous, mixed radioactive, low-level radioactive, and transuranic wastes generated by PNNL activities.

  5. Efficient planning and numerical analysis of industrial hemming processes

    Science.gov (United States)

    Burchitz, Igor; Fritsche, David; Grundmann, Göran; Hillmann, Matthias

    2011-08-01

    Hemming is a forming operation used in the automotive industry to join inner and outer components during the assembly of closures. These are typically opening parts of the body-in-white with additional requirements to their visual appearance. A suitable production concept of hemming operation which satisfies quality, capacity and cost requirements is determined during hemming planning activities. A digital tool to facilitate these activities and minimize the amount of trial and error iterations in try-out phase is presented in this paper. This tool can be used to define process plan, active tool surfaces and suitable process parameters for both die hemming and roll hemming operations. In case of early feasibility studies, when the die layout of the drawing operation is still not available, 3D part geometry is used directly to develop the concept of hemming process. Advanced validation studies, aimed at process optimization and controlling defects associated with hemming, can be based on complete simulation of all forming operations. Validation and analysis of developed concepts of hemming operation is done using the standard AutoForm-Incremental solver. Submesh strategy and special algorithm for contact description between inner and outer parts were implemented to ensure that accurate simulation results can be obtained within reasonable calculation time. Performance of the new software tool for hemming planning and accuracy of simulation results are demonstrated using several simple benchmarks and a real industrial part. It is shown that the new software tool can help to secure the efficient production launch by providing adequate support in try-out phase.

  6. Redesigning the continuous vacuum sealer packaging machine to improve the processing speed

    Science.gov (United States)

    Belo, J. B.; Widyanto, S. A.; Jamari, J.

    2017-01-01

    Vacuum sealer as a product packaging tool of food products to be able to vacuum air inside the plastic which is filled with food products and it causes the pressure lower. In this condition, the optimal heating temperature is reached in a shorter time, so that damage on plastic sealer of vacuumed food products could be prevented to be more effective and efficient. The purpose of this redesigning is to design a vacuum sealer packaging machine continuously through a conveyor mechanism on the packaging quality, time of processing speed of vacuuming food product in the plastic package. This designing process is conducted through several steps of designing and constructing tools until the products are ready to operate. Data analysis is done through quality test of vacuum and sealer to the plastic thickness of 75 µm, 80 µm, and 100 µm with temperature of 170°C, 180°C, 190°C and vacuum duration of 5 seconds, 8 seconds, and 60 seconds. Results of this designing process indicate that vacuum sealer works practically and more optimally with the time of vacuum processing speed of 0 to 1 minute/s; whereas, the pressure of vacuuming suction is until 1e-5 MPa. The results of tensile strength test are at a maximum of 32,796 (N/mm2) and a minimum of 20,155 (N/mm2) and the analysis of plastic composite with EDX. This result shows that the vacuum pressure and the quality of vacuum sealer are better and more efficient.

  7. Micro-CT evaluation of in vivo osteogenesis at implants processed by wire-type electric discharge machining.

    Science.gov (United States)

    Yamaki, Koichi; Kataoka, Yu; Ohtsuka, Fukunaga; Miyazaki, Takashi

    2012-01-01

    Titanium surfaces processed by wire-type electric discharge machining (EDM) are microfabricated surfaces with an irregular morphology, and they exhibited excellent in vitro bone biocompatibility. In this study, the efficiency of in vivo osteogenesis on EDM surfaces was investigated by surgically placing screw-shaped EDM-processed and machined-surface implants into the femurs of four Japanese white rabbits. The volume and process of new bone formation were evaluated by an X-ray micro-CT scanner, coupled with histopathological observations at 1, 2, and 4 weeks post-implantation. Before surgical implantation, the surface topography and contact angle of each implant surface were examined. Bone formation increased over time on both implant surfaces, with both implant types yielding statistically equivalent bone volume at 4 weeks post-implementation. However, at 1 week post-implantation, amount of new bone at EDM-processed implant was markedly greater than that at machined-surface implant. Moreover, new bone appeared to initiate directly from the EDM surfaces, while new bone appeared to generate from pre-existing host bone to the machined surfaces. Thus, EDM seemed to be a promising method for surface modification of titanium implants to support enhanced osteogenesis.

  8. Intensification of the Students' Self-Development Process When Performing Design and Settlement Works on the "Machine Parts" Course

    Science.gov (United States)

    Timerbaev, Rais Mingalievich; Muhutdinov, Rafis Habreevich; Danilov, Valeriy Fedorovich

    2015-01-01

    The article addresses issues related to the methodology of intensifying self-development process when performing design and settlement works on the "Machine Parts" course for the students studying in such areas of training as "Technology" and "Vocational Education" with the use of computer technologies. At the same…

  9. nestor Guideline for Preservation Planning – a Process Model

    Directory of Open Access Journals (Sweden)

    Sabine Schrimpf

    2014-02-01

    Full Text Available The nestor guideline for preservation planning is the latest in a series of nestor publications. nestor is the German competence network for digital preservation and it offers all interested parties from the private and public domains the possibility to participate in working groups. The guideline for preservation planning is the result of such a working group, which discussed the conceptual and practical issues of implementing the OAIS Functional Entity “Preservation Planning”.The guideline describes a process model and offers some guidance on potential implementations. It integrates and builds on recognized community concepts like Significant Properties, the OAIS Designated Community, the National Archives of Australia’s Performance Model, the PREMIS concept of Intellectual Entities and Representations, and the PLANET’s approach to preservation planning. Furthermore, it introduces the concepts “intended use” (Nutzungsziele, “information type” (Informationstyp and “preservation group” (Erhaltungsgruppe. The purpose of these new categories is that information objects shall be grouped by information type (e.g., audio, video, text… and intended use (e.g., reading for pleasure, search for specific information… to preservation groups for automatic processing. Significant properties can then be derived for whole preservation groups. The file format alone is considered as not completely sufficient for such categorisation. Some exemplary implementation solutions of the new concepts are presented in an annex.The guideline takes into account that resources for preservation planning and preservation actions are limited and has therefore adopted 4 premises: adequacy, financial viability, automation, and authenticity of archived objects. Its pragmatic approach becomes apparent in the definition and explanation of these dimensions. The guideline is written from the point of view of representatives of memory institutions, i

  10. Current breathomics-a review on data pre-processing techniques and machine learning in metabolomics breath analysis

    DEFF Research Database (Denmark)

    Smolinska, A.; Hauschild, A. C.; Fijten, R. R. R.

    2014-01-01

    been extensively developed. Yet, the application of machine learning methods for fingerprinting VOC profiles in the breathomics is still in its infancy. Therefore, in this paper, we describe the current state of the art in data pre-processing and multivariate analysis of breathomics data. We start...... different conditions (e.g. disease stage, treatment). Independently of the utilized analytical method, the most important question, 'which VOCs are discriminatory?', remains the same. Answers can be given by several modern machine learning techniques (multivariate statistics) and, therefore, are the focus...

  11. Linking human and natural systems in the planning process

    Science.gov (United States)

    Susan I. Stewart; Miranda H. Mockrin; Roger B. Hammer

    2012-01-01

    Planning links human and natural systems in the urban-rural interface by engaging people in consideration of the future of natural resources. We review evolving ideas about what planning entails, who it involves, and what its outcomes should be. Sense of place, collaboration, emergent planning, and other new developments in planning are discussed. Smaller plans,...

  12. Effect of cutting parameters on sustainable machining performance of coated carbide tool in dry turning process of stainless steel 316

    Science.gov (United States)

    Bagaber, Salem A.; Yusoff, Ahmed Razlan

    2017-04-01

    The manufacturing industry aims to produce many products of high quality with relatively less cost and time. Different cutting parameters affect the machining performance of surface roughness, cutting force, and material removal rate. Nevertheless, a few studies reported on the effects of sustainable factors such as power consumed, cycle time during machining, and tool life on the dry turning of AISI 316. The present study aims to evaluate the machining performance of coated carbide in the machining of hard steel AISI 316 under the dry turning process. The influence of cutting parameters of cutting speed, feed rate, and depth of cut with their five (5) levels is established by a central composite design. Highly significant parameters were determined by analysis of variance (ANOVA), and the main effects of power consumed and time during machining, surface roughness, and tool wear were observed. Results showed that the cutting speed was proportional to power consumption and tool wear. Meanwhile, insignificant to surface roughness, feed rate most significantly affected surface roughness and power consumption followed by depth of cut.

  13. Development of Client-Server Application by Using UDP Socket Programming for Remotely Monitoring CNC Machine Environment in Fixture Process

    Directory of Open Access Journals (Sweden)

    Darmawan Darmawan

    2016-08-01

    Full Text Available The use of computer technology in manufacturing industries can improve manufacturing flexibility significantly, especially in manufacturing processes; many software applications have been utilized to improve machining performance. However, none of them has discussed the abilities to perform direct machining. In this paper, an integrated system for remote operation and monitoring of Computer Numerical Control (CNC machines is put into consideration. The integrated system includes computerization, network technology, and improved holding mechanism. The work proposed by this research is mainly on the software development for such integrated system. It uses Java three-dimensional (3D programming and Virtual Reality Modeling Language (VRML at the client side for visualization of machining environment. This research is aimed at developing a control system to remotely operate and monitor a self-reconfiguration fixture mechanism of a CNC milling machine through internet connection and integration of Personal Computer (PC-based CNC controller, a server side, a client side and CNC milling. The performance of the developed system was evaluated by testing with one type of common protocols particularly User Datagram Protocol (UDP.  Using UDP, the developed system requires 3.9 seconds to complete the close clamping, less than 1 second to release the clamping and it can deliver 463 KiloByte.

  14. The CONSERT operations planning process for the Rosetta mission

    Science.gov (United States)

    Rogez, Yves; Puget, Pascal; Zine, Sonia; Hérique, Alain; Kofman, Wlodek; Altobelli, Nicolas; Ashman, Mike; Barthélémy, Maud; Biele, Jens; Blazquez, Alejandro; Casas, Carlos M.; Sitjà, Marc Costa; Delmas, Cédric; Fantinati, Cinzia; Fronton, Jean-François; Geiger, Bernhard; Geurts, Koen; Grieger, Björn; Hahnel, Ronny; Hoofs, Raymond; Hubault, Armelle; Jurado, Eric; Küppers, Michael; Maibaum, Michael; Moussi-Souffys, Aurélie; Muñoz, Pablo; O'Rourke, Laurence; Pätz, Brigitte; Plettemeier, Dirk; Ulamec, Stephan; Vallat, Claire

    2016-08-01

    The COmet Nucleus Sounding Experiment by Radio wave Transmission (CONSERT / Rosetta) has been designed to sound the interior of the comet 67P/Churyumov-Gerasimenko. This instrument consists of two parts: one onboard Rosetta and the other one onboard Philae. A good CONSERT science measurement sequence requires joint operations of both spacecrafts in a relevant geometry. The geometric constraints to be fulfilled involve the position and the orientation of both Rosetta and Philae. At the moment of planning the post-landing and long-term science operations for Rosetta instruments, the actual comet shape and the landing location remained largely unknown. In addition, the necessity of combining operations of Rosetta spacecraft and Philae spacecraft makes the planning process for CONSERT particularly complex. In this paper, we present the specific methods and tools we developed, in close collaboration with the mission and the science operation teams for both Rosetta and Philae, to identify, rank and plan the operations for CONSERT science measurements. The presented methods could be applied to other missions involving joint operations between two platforms, on a complex shaped object.

  15. The JPL Resource Allocation Planning and Scheduling Office (RAPSO) process

    Science.gov (United States)

    Morris, D. G.; Burke, E. S.

    2002-01-01

    The Jet Propulsion Laboratory's Resource Allocation Planning and Scheduling Office is chartered to divide the limited amount of tracking hours of the Deep Space Network amongst the various missions in as equitable allotment as can be achieved. To best deal with this division of assets and time, an interactive process has evolved that promotes discussion with agreement by consensus between all of the customers that use the Deep Space Network (DSN). Aided by a suite of tools, the task of division of asset time is then performed in three stages of granularity. Using this approach, DSN loads are either forecasted or scheduled throughout a moving 10-year window.

  16. Applied machining technology

    CERN Document Server

    Tschätsch, Heinz

    2010-01-01

    Machining and cutting technologies are still crucial for many manufacturing processes. This reference presents all important machining processes in a comprehensive and coherent way. It includes many examples of concrete calculations, problems and solutions.

  17. Consensus Control Design for 360 MN Extrusion Machine Producing Process

    Directory of Open Access Journals (Sweden)

    Chao Wang

    2014-01-01

    Full Text Available This paper mainly addresses the issue of 360 MN extrusion machine and focuses on the stabilization control of main table attitude. We will first introduce the problem and then model the extrusion machine. As the machine is a multi-input multioutput (MIMO and strong coupling system, it is challenging to apply existing control theory to design a controller to stabilize the main table attitude. Motivated by recent research in the field of multiagent systems, we design a consensus control protocol for our system and derive our convergence conditions based directly on Routh stability criterion. The advantages of the design are also demonstrated by numerical simulation.

  18. Optimization of multi-objective integrated process planning and scheduling problem using a priority based optimization algorithm

    Science.gov (United States)

    Ausaf, Muhammad Farhan; Gao, Liang; Li, Xinyu

    2015-12-01

    For increasing the overall performance of modern manufacturing systems, effective integration of process planning and scheduling functions has been an important area of consideration among researchers. Owing to the complexity of handling process planning and scheduling simultaneously, most of the research work has been limited to solving the integrated process planning and scheduling (IPPS) problem for a single objective function. As there are many conflicting objectives when dealing with process planning and scheduling, real world problems cannot be fully captured considering only a single objective for optimization. Therefore considering multi-objective IPPS (MOIPPS) problem is inevitable. Unfortunately, only a handful of research papers are available on solving MOIPPS problem. In this paper, an optimization algorithm for solving MOIPPS problem is presented. The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize the IPPS problem for various objectives like makespan, total machine load, total tardiness, etc. A fixed sized external archive coupled with a crowding distance mechanism is used to store and maintain the non-dominated solutions. To compare the results with other algorithms, a C-matric based method has been used. Instances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm. The experimental results show that the proposed method is an efficient approach for solving the MOIPPS problem.

  19. Modeling and multi-objective optimization of powder mixed electric discharge machining process of aluminum/alumina metal matrix composite

    Directory of Open Access Journals (Sweden)

    Gangadharudu Talla

    2015-09-01

    Full Text Available Low material removal rate (MRR and high surface roughness values hinder large-scale application of electro discharge machining (EDM in the fields like automobile, aerospace and medical industry. In recent years, however, EDM has gained more significance in these industries as the usage of difficult-to-machine materials including metal matrix composites (MMCs increased. In the present work, an attempt has been made to fabricate and machine aluminum/alumina MMC using EDM by adding aluminum powder in kerosene dielectric. Results showed an increase in MRR and decrease in surface roughness (Ra compared to those for conventional EDM. Semi empirical models for MRR and Ra based on machining parameters and important thermo physical properties were established using a hybrid approach of dimensional and regression analysis. A multi response optimization was also performed using principal component analysis-based grey technique (Grey-PCA to determine optimum settings of process parameters for maximum MRR and minimum Ra within the experimental range. The recommended setting of process parameters for the proposed process has been found to be powder concentration (Cp = 4 g/l, peak current (Ip = 3 A, pulse on time (Ton = 150 μs and duty cycle (Tau = 85%.

  20. Content-Based Image Retrieval Using Support Vector Machine in digital image processing techniques

    Directory of Open Access Journals (Sweden)

    G.V.Hari Prasad

    2012-04-01

    Full Text Available The rapid growth of computer technologies and the ad-vent of the World Wide Web have increased the amount and the complexity of multimedia information. A content-based image retrieval (CBIR system has been developed as an ef-ficient image retrieval tool, whereby the user can provide their query to the system to allow it to retrieve the user’s desired image from the image database. However, the tradi-tional relevance feedback of CBIR has some limitations that will decrease the performance of the CBIR system, such as the imbalance oftraining-set problem, classification prob-lem, limited information from user problem, and insuffi-cient trainingset problem. Therefore, in this study, we pro-posed an enhanced relevance-feedback method to support the user query based on the representative image selection and weight ranking of the images retrieved. The support vector machine (SVM has been used to support the learn-ing process to reduce the semantic gap between the user and the CBIR system. From these experiments, the proposed learning method has enabled users to improve their search results based on the performance of CBIR system. In addi-tion, the experiments also proved that by solving the imbal-ance training set issue, the performance of CBIR could be improved.

  1. Cost minimizing of cutting process for CNC thermal and water-jet machines

    Science.gov (United States)

    Tavaeva, Anastasia; Kurennov, Dmitry

    2015-11-01

    This paper deals with optimization problem of cutting process for CNC thermal and water-jet machines. The accuracy of objective function parameters calculation for optimization problem is investigated. This paper shows that working tool path speed is not constant value. One depends on some parameters that are described in this paper. The relations of working tool path speed depending on the numbers of NC programs frames, length of straight cut, configuration part are presented. Based on received results the correction coefficients for working tool speed are defined. Additionally the optimization problem may be solved by using mathematical model. Model takes into account the additional restrictions of thermal cutting (choice of piercing and output tool point, precedence condition, thermal deformations). At the second part of paper the non-standard cutting techniques are considered. Ones may lead to minimizing of cutting cost and time compared with standard cutting techniques. This paper considers the effectiveness of non-standard cutting techniques application. At the end of the paper the future research works are indicated.

  2. Seismic interpretation using Support Vector Machines implemented on Graphics Processing Units

    Energy Technology Data Exchange (ETDEWEB)

    Kuzma, H A; Rector, J W; Bremer, D

    2006-06-22

    Support Vector Machines (SVMs) estimate lithologic properties of rock formations from seismic data by interpolating between known models using synthetically generated model/data pairs. SVMs are related to kriging and radial basis function neural networks. In our study, we train an SVM to approximate an inverse to the Zoeppritz equations. Training models are sampled from distributions constructed from well-log statistics. Training data is computed via a physically realistic forward modeling algorithm. In our experiments, each training data vector is a set of seismic traces similar to a 2-d image. The SVM returns a model given by a weighted comparison of the new data to each training data vector. The method of comparison is given by a kernel function which implicitly transforms data into a high-dimensional feature space and performs a dot-product. The feature space of a Gaussian kernel is made up of sines and cosines and so is appropriate for band-limited seismic problems. Training an SVM involves estimating a set of weights from the training model/data pairs. It is designed to be an easy problem; at worst it is a quadratic programming problem on the order of the size of the training set. By implementing the slowest part of our SVM algorithm on a graphics processing unit (GPU), we improve the speed of the algorithm by two orders of magnitude. Our SVM/GPU combination achieves results that are similar to those of conventional iterative inversion in fractions of the time.

  3. Development of a perpendicular vibration-induced electrical discharge machining process for fabrication of partially wavy inner structures

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Ju Chul; Park, Sang Hu; Min, June Kee; Ha, Man Yeong; Shin, Bo Sung [Pusan National University, Busan (Korea, Republic of); Cho, Jong Rae [Korea Maritime University, Busan (Korea, Republic of)

    2016-05-15

    Heat transfer enhancement is an important issue in energy systems. To improve the efficiency of a cooling channel used inside injection molds, turbine blades, and high-temperature devices, channels with various shapes, such as wavy, elliptical, and twisted, have been studied. A cooling channel with a partially wavy inner structure has shown outstanding cooling performance despite a small increase in friction factor. However, generating a partially wavy inner structure inside a channel through conventional machining processes is not easy. To address this problem, we developed a new process called Perpendicular vibration-induced electrical discharge machining (PV-EDM). A specific electrode and one- and random-directional vibrating devices controlled by a pneumatic load were designed for the PV-EDM process. Experimental results showed that local shaping on the inner wall of a channel is possible, which confirmed the possibility of application of this process to actual industrial problems.

  4. Selection of machining datum and allocation of tolerance through tolerance charting technique

    Science.gov (United States)

    Thilak, Manoharan; Sivakumar, Karuppan; Jayaprakash, Govindharajalu

    2012-07-01

    Tolerance charting is an effective tool to determine the optimal allocation of working dimensions and working tolerances such that the blueprint dimensions and tolerances can be achieved to accomplish the cost objectives. The selection of machining datum and allocation of tolerances are critical in any machining process planning as they directly affect any setup methods/machine tools selection and machining time. This paper mainly focuses on the selection of optimum machining datums and machining tolerances simultaneously in process planning. A dynamic tolerance charting constraint scheme is developed and implemented in the optimization procedure. An optimization model is formulated for selecting machining datum and tolerances and implemented with an algorithm namely Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II).The computational results indicate that the proposed methodology is capable and robust in finding the optimal machining datum set and tolerances.

  5. Improving energy audit process and report outcomes through planning initiatives

    Science.gov (United States)

    Sprau Coulter, Tabitha L.

    Energy audits and energy models are an important aspect of the retrofit design process, as they provide project teams with an opportunity to evaluate a facilities current building systems' and energy performance. The information collected during an energy audit is typically used to develop an energy model and an energy audit report that are both used to assist in making decisions about the design and implementation of energy conservation measures in a facility. The current lack of energy auditing standards results in a high degree of variability in energy audit outcomes depending on the individual performing the audit. The research presented is based on the conviction that performing an energy audit and producing a value adding energy model for retrofit buildings can benefit from a revised approach. The research was divided into four phases, with the initial three phases consisting of: 1.) process mapping activity - aimed at reducing variability in the energy auditing and energy modeling process. 2.) survey analysis -- To examine the misalignment between how industry members use the top energy modeling tools compared to their intended use as defined by software representatives. 3.) sensitivity analysis -- analysis of the affect key energy modeling inputs are having on energy modeling analysis results. The initial three phases helped define the need for an improved energy audit approach that better aligns data collection with facility owners' needs and priorities. The initial three phases also assisted in the development of a multi-criteria decision support tool that incorporates a House of Quality approach to guide a pre-audit planning activity. For the fourth and final research phase explored the impacts and evaluation methods of a pre-audit planning activity using two comparative energy audits as case studies. In each case, an energy audit professionals was asked to complete an audit using their traditional methods along with an audit which involved them first

  6. Development of Mathematical Model for Lifecycle Management Process of New Type of Multirip Saw Machine

    National Research Council Canada - National Science Library

    B. V. Phung; M. H. Dang; S. S. Gavriushin

    2017-01-01

    ... investigation.Using the concept of lifecycle management of the considered machine in a unified information space is necessary to improve quality and competitiveness in the current production environment...

  7. Connecting the Dots--From Planning to Implementation: Translating Commitments into Action in a Strategic Planning Process

    Science.gov (United States)

    Mieso, Rob Roba

    2010-01-01

    This study examines the implementation of the Commitments to Action (CTAs) that were developed for the Outreach Institutional Initiative (OII) as part of the 2006 strategic planning process at De Anza College. Although the strategic planning process identified four Institutional Initiatives (IIs) [Outreach, Individualized Attention to Student…

  8. Connecting the Dots--From Planning to Implementation: Translating Commitments into Action in a Strategic Planning Process

    Science.gov (United States)

    Mieso, Rob Roba

    2010-01-01

    This study examines the implementation of the Commitments to Action (CTAs) that were developed for the Outreach Institutional Initiative (OII) as part of the 2006 strategic planning process at De Anza College. Although the strategic planning process identified four Institutional Initiatives (IIs) [Outreach, Individualized Attention to Student…

  9. Micro-Thermoelectric Generation Modules Fabricated with Low-Cost Mechanical Machining Processes

    Science.gov (United States)

    Liu, Dawei; Jin, A. J.; Peng, Wenbo; Li, Qiming; Gao, Hu; Zhu, Lianjun; Li, Fu; Zhu, Zhixiang

    2017-05-01

    Micro/small-scale thermoelectric generation modules are able to produce continuous, noise-free and reliable electricity power using low temperature differences that widely exist in nature or industry. These advantages bring them great application prospects in the fields of remote monitoring, microelectronics/micro-electromechanical systems (MEMS), medical apparatus and smart management system, which often require a power source free of maintenance and vibration. In this work, a prototypical thermoelectric module (12 mm × 12 mm × 0.8 mm) with 15 pairs of micro-scale thermoelectric legs (0.2 mm in width and 0.6 mm in height for each leg) is fabricated using a low-cost mechanical machining process. In this process, cutting and polishing are the main methods for the preparation of thermoelectric pairs from commercial polycrystalline materials and for the fabrication of electrode patterns. The as-fabricated module is tested for its power generation properties with the hot side heated by an electrical heater and the cold side by cold air. With the heater temperature of 375 K, the thermoelectric potential is about 9.1 mV, the short circuit current is about 14.5 mA, and the maximum output power is about 32.8 μW. The finite element method is applied to analyze the heat transfer of the module during our test. The temperature difference and heat flux are simulated, according to which the output powers at different temperatures are calculated, and the result is relatively consistent compared to the test results.

  10. Micro-Thermoelectric Generation Modules Fabricated with Low-Cost Mechanical Machining Processes

    Science.gov (United States)

    Liu, Dawei; Jin, A. J.; Peng, Wenbo; Li, Qiming; Gao, Hu; Zhu, Lianjun; Li, Fu; Zhu, Zhixiang

    2016-11-01

    Micro/small-scale thermoelectric generation modules are able to produce continuous, noise-free and reliable electricity power using low temperature differences that widely exist in nature or industry. These advantages bring them great application prospects in the fields of remote monitoring, microelectronics/micro-electromechanical systems (MEMS), medical apparatus and smart management system, which often require a power source free of maintenance and vibration. In this work, a prototypical thermoelectric module (12 mm × 12 mm × 0.8 mm) with 15 pairs of micro-scale thermoelectric legs (0.2 mm in width and 0.6 mm in height for each leg) is fabricated using a low-cost mechanical machining process. In this process, cutting and polishing are the main methods for the preparation of thermoelectric pairs from commercial polycrystalline materials and for the fabrication of electrode patterns. The as-fabricated module is tested for its power generation properties with the hot side heated by an electrical heater and the cold side by cold air. With the heater temperature of 375 K, the thermoelectric potential is about 9.1 mV, the short circuit current is about 14.5 mA, and the maximum output power is about 32.8 μW. The finite element method is applied to analyze the heat transfer of the module during our test. The temperature difference and heat flux are simulated, according to which the output powers at different temperatures are calculated, and the result is relatively consistent compared to the test results.

  11. Machine Learning

    CERN Document Server

    CERN. Geneva

    2017-01-01

    Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

  12. Process evaluation of discharge planning implementation in healthcare using normalization process theory.

    Science.gov (United States)

    Nordmark, Sofi; Zingmark, Karin; Lindberg, Inger

    2016-04-27

    Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge planning process have been developed and implemented for the past three decades. However, there are still high rates of reported medical errors and adverse events related to failures in the discharge planning. Using theoretical frameworks such as Normalization Process Theory (NPT) can support evaluations of complex interventions and processes in healthcare. The aim of this study was to explore the embedding and integration of the DPP from the perspective of registered nurses, district nurses and homecare organizers. The study design was explorative, using the NPT as a framework to explore the embedding and integration of the DPP. Data consisted of written documentation from; workshops with staff, registered adverse events and system failures, web based survey and individual interviews with staff. Using the NPT as a framework to explore the embedding and integration of discharge planning after 10 years in use showed that the staff had reached a consensus of opinion of what the process was (coherence) and how they evaluated the process (reflexive monitoring). However, they had not reached a consensus of opinion of who performed the process (cognitive participation) and how it was performed (collective action). This could be interpreted as the process had not become normalized in daily practice. The result shows necessity to observe the implementation of old practices to better understand the needs of new ones before developing and implementing new practices or supportive tools within healthcare to reach the aim of development and to accomplish sustainable implementation. The NPT offers a generalizable framework for analysis, which can explain and shape the

  13. Demystifying the Business Plan Process: An Introductory Guide.

    Science.gov (United States)

    Kuratko, Donald F.

    This article is designed as the starting point for writing a business plan. It first describes what a business plan is. These benefits are discussed: financing, increasing knowledge, preventing poor investment, and planning. A brief description follows of the 10 components of a business plan: executive summary; business description; marketing;…

  14. Wolfsberg Executive Director P. Guptara at ATLAS experiment with ATLAS Resources Coordinator M. Nordberg, LHC machine Technical Coordination and Planning P. Proudlock and Information Technology Department Head W. von Rüden on 21 September 2006.

    CERN Multimedia

    Maximilien Brice

    2006-01-01

    Wolfsberg Executive Director P. Guptara at ATLAS experiment with ATLAS Resources Coordinator M. Nordberg, LHC machine Technical Coordination and Planning P. Proudlock and Information Technology Department Head W. von Rüden on 21 September 2006.

  15. Architecture For The Optimization Of A Machining Process In Real Time Through Rule-Based Expert System

    Science.gov (United States)

    Serrano, Rafael; González, Luis Carlos; Martín, Francisco Jesús

    2009-11-01

    Under the project SENSOR-IA which has had financial funding from the Order of Incentives to the Regional Technology Centers of the Counsil of Innovation, Science and Enterprise of Andalusia, an architecture for the optimization of a machining process in real time through rule-based expert system has been developed. The architecture consists of an acquisition system and sensor data processing engine (SATD) from an expert system (SE) rule-based which communicates with the SATD. The SE has been designed as an inference engine with an algorithm for effective action, using a modus ponens rule model of goal-oriented rules.The pilot test demonstrated that it is possible to govern in real time the machining process based on rules contained in a SE. The tests have been done with approximated rules. Future work includes an exhaustive collection of data with different tool materials and geometries in a database to extract more precise rules.

  16. Generation Of Manufacturing Routing And Operations Using Structured Knowledge As Basis To Application Of Computer Aided In Process Planning

    Science.gov (United States)

    Oswaldo, Luiz Agostinho

    2011-01-01

    The development of computer aided resources in automation of generation of manufacturing routings and operations is being mainly accomplished through the search of similarities between existent ones, resulting standard process routings that are grouped by analysis of similarities between parts or routings. This article proposes the development of manufacturing routings and operations detailment using a methodology which steps will define the initial, intermediate and final operations, starting from the rough piece and going up to the final specifications, that must have binunivocal relationship with the part design specifications. Each step will use the so called rules of precedence to link and chain the routing operations. The rules of precedence order and prioritize the knowledge of various manufacturing processes, taking in account the theories of machining, forging, assembly, and heat treatments; also, utilizes the theories of accumulation of tolerances and process capabilities, between others. It is also reinforced the availability of manufacturing databases related to process tolerances, deviations of machine tool- cutting tool- fixturing devices—workpiece, and process capabilities. The statement and application of rules of precedence, linking and joining manufacturing concepts in a logical and structured way, and their application in the methodology steps will make viable the utilization of structured knowledge instead of tacit one currently available in the manufacturing engineering departments, in the generation of manufacturing routing and operations. Consequently, the development of Computer Aided in Process Planning will be facilitated, due to the structured knowledge applied with this methodology.

  17. 23 CFR 450.306 - Scope of the metropolitan transportation planning process.

    Science.gov (United States)

    2010-04-01

    ... Programming § 450.306 Scope of the metropolitan transportation planning process. (a) The metropolitan transportation planning process shall be continuous, cooperative, and comprehensive, and provide for... shall be reflected, as appropriate, in the metropolitan transportation planning process. The degree of...

  18. 23 CFR 450.206 - Scope of the statewide transportation planning process.

    Science.gov (United States)

    2010-04-01

    ... 23 Highways 1 2010-04-01 2010-04-01 false Scope of the statewide transportation planning process....206 Scope of the statewide transportation planning process. (a) Each State shall carry out a continuing, cooperative, and comprehensive statewide transportation planning process that provides for...

  19. 29 CFR 4041.42 - Administration of plan during termination process.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 9 2010-07-01 2010-07-01 false Administration of plan during termination process. 4041.42... TERMINATIONS TERMINATION OF SINGLE-EMPLOYER PLANS Distress Termination Process § 4041.42 Administration of plan during termination process. (a) General rule. Except to the extent specifically prohibited by...

  20. CABPRO: An expert system for process planning multiwire cables. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Schaefer, R.M.

    1994-04-01

    CABPRO (CABle PROcessor) is a set of computer programs using Artificial Intelligence programming to automatically generate process plans and work instructions in support of the manufacture of multiwire cables. Development of these programs required selecting appropriate hardware and software tools, defining engineering process planning activities, acquiring and representing process planning knowledge, and creating a prototype system. A successful prototype was developed and demonstrated.

  1. A Collaborative, Ongoing University Strategic Planning Framework: Process, Landmines, and Lessons

    Science.gov (United States)

    Hill, Susan E. Kogler; Thomas, Edward G.; Keller, Lawrence F.

    2009-01-01

    This article examines the strategic planning process at Cleveland State University, a large metropolitan state university in Ohio. A faculty-administrative team used a communicative planning approach to develop a collaborative, ongoing, bottom-up, transparent strategic planning process. This team then spearheaded the process through plan…

  2. A Collaborative, Ongoing University Strategic Planning Framework: Process, Landmines, and Lessons

    Science.gov (United States)

    Hill, Susan E. Kogler; Thomas, Edward G.; Keller, Lawrence F.

    2009-01-01

    This article examines the strategic planning process at Cleveland State University, a large metropolitan state university in Ohio. A faculty-administrative team used a communicative planning approach to develop a collaborative, ongoing, bottom-up, transparent strategic planning process. This team then spearheaded the process through plan…

  3. 15 CFR 713.4 - Advance declaration requirements for additionally planned production, processing, or consumption...

    Science.gov (United States)

    2010-01-01

    ... additionally planned production, processing, or consumption of Schedule 2 chemicals. 713.4 Section 713.4..., processing, or consumption of Schedule 2 chemicals. (a) Declaration requirements for additionally planned activities. (1) You must declare additionally planned production, processing, or consumption of Schedule 2...

  4. 提高数控加工质量的工艺措施%Improve the Quality of NC Machining Process Measures

    Institute of Scientific and Technical Information of China (English)

    窦金平

    2012-01-01

    在数控加工中,除了受机床、刀具、夹具的制造误差和安装误差的影响外,加工质量还与数控加工中所采取的工艺措施密切相关.从加工工艺角度出发,论述了提高数控加工精度和零件表面加工质量的若干措施,以利于高效地使用数控机床.%In NC machining, in addition to effected by manufacture errors and installation errors of machine tool, tool, fixture, machining quality is closely related to process measures taken in NC machining. From the process point of view, a number of measures for improving NC machining accuracy and surface quality of parts were discussed so as to use NC machine tools efficiently.

  5. Re-engineering the Federal planning process: A total Federal planning strategy, integrating NEPA with modern management tools

    Energy Technology Data Exchange (ETDEWEB)

    Eccleston, C.H.

    1997-09-05

    The National Environmental Policy Act (NEPA) of 1969 was established by Congress more than a quarter of a century ago, yet there is a surprising lack of specific tools, techniques, and methodologies for effectively implementing these regulatory requirements. Lack of professionally accepted techniques is a principal factor responsible for many inefficiencies. Often, decision makers do not fully appreciate or capitalize on the true potential which NEPA provides as a platform for planning future actions. New approaches and modem management tools must be adopted to fully achieve NEPA`s mandate. A new strategy, referred to as Total Federal Planning, is proposed for unifying large-scale federal planning efforts under a single, systematic, structured, and holistic process. Under this approach, the NEPA planning process provides a unifying framework for integrating all early environmental and nonenvironmental decision-making factors into a single comprehensive planning process. To promote effectiveness and efficiency, modem tools and principles from the disciplines of Value Engineering, Systems Engineering, and Total Quality Management are incorporated. Properly integrated and implemented, these planning tools provide the rigorous, structured, and disciplined framework essential in achieving effective planning. Ultimately, the goal of a Total Federal Planning strategy is to construct a unified and interdisciplinary framework that substantially improves decision-making, while reducing the time, cost, redundancy, and effort necessary to comply with environmental and other planning requirements. At a time when Congress is striving to re-engineer the governmental framework, apparatus, and process, a Total Federal Planning philosophy offers a systematic approach for uniting the disjointed and often convoluted planning process currently used by most federal agencies. Potentially this approach has widespread implications in the way federal planning is approached.

  6. Statewide Strategic Forest Resource Planning Programs: Evaluation Based on Context, Process, Outputs, and Performance.

    Science.gov (United States)

    Gray, Gerald J.; Ellefson, Paul V.

    1991-01-01

    Evaluation of strategic planning programs is illustrated using the examples of statewide forest resource planning programs implemented by state governments in 1986. Client-based perspectives were studied via a survey of 216 officials affected by the forestry planning program. Considering planning's context, process, outputs, and performance helped…

  7. Planning of process of physical education of students.

    Directory of Open Access Journals (Sweden)

    Pylypey L.P.

    2012-09-01

    Full Text Available Going is considered near the personality oriented system professionally-applied physical training of students. In an experiment 500 students of 1-3 courses took part in age from 17 to 23 years. In research of motivation to employments 52 students took part 3 courses. The results of cross-correlation analysis of computer-integrated indexes of level of physical training are resulted. Aims, functions of structure, typology and principles of physical education, are certain. Progress of professional training trends are exposed. The organizational and methodical aspects of construction of the system of physical education are recommended. Directions of planning of educational process are offered on physical education on the basis of professionally-applied physical training of students. Attention is accented on the necessity of exposure of terms for realization of creative capabilities of teacher, leaders and students.

  8. PERSPECTIVES ON INTEROPERABILITY INTEGRATION WITHIN NATO DEFENSE PLANNING PROCESS

    Directory of Open Access Journals (Sweden)

    Florian CIOCAN

    2011-01-01

    Full Text Available Interoperability is not a new area of effort at NATO level. In fact, interoperability and more specifi cally standardization, has been a key element of the Alliance’s approach to fi elding forces for decades. But as the security and operational environment has been in a continuous change, the need to face the new threats and the current involvement in challenging operations in Afghanistan and elsewhere alongside with the necessity to interoperate at lower and lower levels of command with an increasing number of nations, including non-NATO ISAF partners, NGOs, and other organizations, have made the task even more challenging. In this respect Interoperability Integration within NATO Defense Planning Process will facilitate the timely identifi cation, development and delivery of required forces and capabilities that are interoperable and adequately prepared, equipped, trained and supported to undertake the Alliance’s full spectrum of missions.

  9. Texture Analysis using The Neutron Diffraction Method on The Non Standardized Austenitic Steel Process by Machining,Annealing, and Rolling

    Directory of Open Access Journals (Sweden)

    Tri Hardi Priyanto

    2016-04-01

    Full Text Available Austenitic steel is one type of stainless steel which is widely used in the industry. Many studies on  austenitic stainless steel have been performed to determine the physicalproperties using various types of equipment and methods. In this study, the neutron diffraction method is used to characterize the materials which have been made from  minerals extracted from the mines in Indonesia. The materials consist of a granular ferro-scrap, nickel, ferro-chrome, ferro-manganese, and ferro-silicon added with a little titanium. Characterization of the materials was carried out in threeprocesses, namely: machining, annealing, and rolling. Experimental results obtained from the machining process generally produces a texture in the 〈100〉direction. From the machining to annealing process, the texture index decreases from 3.0164 to 2.434.Texture strength in the machining process (BA2N sample is  8.13 mrd and it then decreases to 6.99 in the annealing process (A2DO sample. In the annealing process the three-component texture appears, cube-on-edge type texture{110}〈001〉, cube-type texture {001}〈100〉, and brass-type {110}〈112〉. The texture is very strong leading to the direction of orientation {100}〈001〉, while the {011}〈100〉is weaker than that of the {001}, and texture withorientation {110}〈112〉is weak. In the annealing process stress release occurred, and this was shown by more randomly pole compared to stress release by the machining process. In the rolling process a brass-type texture{110}〈112〉with a spread towards the goss-type texture {110}〈001〉 appeared,  and  the  brass  component  is markedly  reinforced  compared  to  the undeformed state (before rolling. Moreover, the presence of an additional {110} component was observed at the center of the (110 pole figure. The pole density of three components increases withthe increasing degree of thickness reduction. By increasing degrees

  10. An Architecture of Computer Aided Process Planning System Integrated with Scheduling Using Decision Support System

    Institute of Scientific and Technical Information of China (English)

    Manish; Kumar; Sunil; Rajotia

    2002-01-01

    Process planning and scheduling are two major plann in g and control activities that consume significant part of the lead-time, theref ore all attempts are being made to reduce lead-time by automating them. Compute r Aided Process Planning (CAPP) is a step in this direction. Most of the existin g CAPP systems do not consider scheduling while generating a process plan. Sched uling is done separately after the process plan has been generated and therefore , it is possible that a process plan so generated is e...

  11. USGCRP's Sustained Assessment Process: Progress to date and future plans

    Science.gov (United States)

    DeAngelo, B. J.; Reidmiller, D.; Lipschultz, F.; Cloyd, E. T.

    2016-12-01

    One of the four main objectives of the U.S. Global Change Research Program's (USGCRP's) Strategic Plan is to "Conduct Sustained Assessments", which seeks to build a process that synthesizes and advances the state of scientific knowledge on global change, develops future scenarios and potential impacts, and evaluates how effectively science is being and can be used to inform and support the Nation's response to climate change. To do so, USGCRP strives to establish a standing capacity to conduct national climate assessments with sectoral and regional information to evaluate climate risks and opportunities, and to inform decision-making, especially with regard to resiliency planning and adaptation measures. Building on the success of the 3rd National Climate Assessment (NCA) (2014), we discuss the range of USGCRP activities that embody the sustained assessment concept. Special reports, such as the recent Climate and Human Health Assessment and upcoming Climate Science Special Report, fill gaps in our understanding and provide crucial building blocks for next NCA report (NCA4). To facilitate the use of consistent assumptions across NCA4, new scenario products for climate, population, and land use will be made available through initiatives such as NOAA's Climate Resilience Toolkit. NCA4 will be informed by user engagement to advance the customization of knowledge. The report will strive to advance our ability to quantify various risks, monetize certain impacts, and communicate the benefits (i.e., avoided impacts) of various mitigation pathways. NCAnet (a national network of climate-interested stakeholders) continues to grow and foster collaborations across levels of governance and within civil society. Finally, USGCRP continues to actively engage with other assessment processes, at international, state, city, and tribal levels, to exchange ideas and to facilitate the potential for "linked" assessments across spatial scales.

  12. City and Energy Infrastructures between Economic Processes and Urban Planning

    Directory of Open Access Journals (Sweden)

    Giuseppe Mazzeo

    2013-11-01

    Full Text Available The paper deals with the issues related to the relationship between city, energy, economic factors and city planning. These issues are analyzed from a theoretical point of view and are placed in a logical path based on three assumptions. The first considers the city as an intelligent system constantly evolving. The second considers the city as a system where economic processes come out at their highest level affecting other aspects of social and urban structure. The third considers the planning as the weak link in the process of urban development, one of the most exposed to economic and social pressures.Energy production has experienced a great progress since steam and electricity were discovered. Each stage of this evolution has affected city and territory introducing significant physical signs, changing the ways of carrying out functions and creating new needs and new activities. The energy revolution, based on sustainable sources and on skillful management of the networks, will strongly affect the city and the way of organizing the activities, their location, dimension, and the shape of the spaces.The paper explores some of the issues related to the relationship between urban system and energy.The first section analyzes the meaning of the intelligent city as an entity that is constantly changing and constantly adapting. The second section analyzes the role of the energy systems in the evolution of the activities and of the city’s image. The last section investigates the role of the economic factors in the evolution of the shape and meaning of city, pointing out that the way towards smart and green urban systems will largely depend on their economic advantage. 

  13. DESIGN OF CAMERA MOUNT AND ITS APPLICATION FOR MONITORING MACHINING PROCESS

    Directory of Open Access Journals (Sweden)

    Nadežda Čuboňová

    2015-05-01

    Full Text Available The article deals with the solution to the problem of holding a scanning device – GoPro camera in the vicinity of milling machine EMCO Concept MILL 105, practical part solves the design and production of the fixture. The proposal of the fixture includes the best placing of the fixture within the milling area. On this basis individual variants of this solution are elaborated. The best variant for holding of the camera was selected and fixture production was experimentally performed on a 3D printer – Easy 3D Maker. Fixture functionality was verified on the milling machine.

  14. Strategic Planning and the Marketing Process: Library Applications.

    Science.gov (United States)

    Wood, Elizabeth J.

    1983-01-01

    Illustrates how basic principles of marketing and strategic market planning can be applied to libraries and discusses some concepts of strategic planning (organization mission, objectives and goals, growth strategy, program portfolio plan) and marketing (opportunity analysis, target market selection, marketing mix strategy, marketing systems…

  15. Strategic Planning and the Marketing Process: Library Applications.

    Science.gov (United States)

    Wood, Elizabeth J.

    1983-01-01

    Illustrates how basic principles of marketing and strategic market planning can be applied to libraries and discusses some concepts of strategic planning (organization mission, objectives and goals, growth strategy, program portfolio plan) and marketing (opportunity analysis, target market selection, marketing mix strategy, marketing systems…

  16. 加工中心高效加工模式研究%Research on Efficient Processing Model Machining Center

    Institute of Scientific and Technical Information of China (English)

    廉国安; 杨泽; 廉洁

    2014-01-01

    Through innovative design of fixture, make full use of the machining center work table, a cutter replacement after processing a set of parts, in order to reduce tool change time, air knife walking time, opening and closing time, reduce the processing in the heart of then on-invasive effect time, increase the degree of separation machine, machining center, one of the more efficient processing of purpose.%通过夹具的创新设计,充分利用加工中心的工作台面,一次更换刀具后连续加工一组零件,以减少换刀时间、空刀行走时间、开关门时间,降低加工中心的非创效时间,增加人机分离程度,实现加工中心高效加工、一人多机的目的。

  17. Machining with abrasives

    CERN Document Server

    Jackson, Mark J

    2011-01-01

    Abrasive machining is key to obtaining the desired geometry and surface quality in manufacturing. This book discusses the fundamentals and advances in the abrasive machining processes. It provides a complete overview of developing areas in the field.

  18. Social Work Discharge Planning in Acute Care Hospitals in Israel: Clients' Evaluation of the Discharge Planning Process and Adequacy

    Science.gov (United States)

    Soskolne, Varda; Kaplan, Giora; Ben-Shahar, Ilana; Stanger, Varda; Auslander, Gail. K.

    2010-01-01

    Objective: To examine the associations of patients' characteristics, hospitalization factors, and the patients' or family assessment of the discharge planning process, with their evaluation of adequacy of the discharge plan. Method: A prospective study. Social workers from 11 acute care hospitals in Israel provided data on 1426 discharged…

  19. Social Work Discharge Planning in Acute Care Hospitals in Israel: Clients' Evaluation of the Discharge Planning Process and Adequacy

    Science.gov (United States)

    Soskolne, Varda; Kaplan, Giora; Ben-Shahar, Ilana; Stanger, Varda; Auslander, Gail. K.

    2010-01-01

    Objective: To examine the associations of patients' characteristics, hospitalization factors, and the patients' or family assessment of the discharge planning process, with their evaluation of adequacy of the discharge plan. Method: A prospective study. Social workers from 11 acute care hospitals in Israel provided data on 1426 discharged…

  20. KWARTA (Quality Assurance in the Radiotherapy centres of the Antwerp province): Quality control of the contract therapy machine and treatment planning system

    Energy Technology Data Exchange (ETDEWEB)

    De Ost, B.; Schaeken, B.; Vanregemorter, J. [Algemeen Ziekenhuis Middelheim, Antwerp (Belgium); Bellekens, L. [Sint-Vincentius Ziekenhuis, Antwerp (Belgium); Cardoen, R.; Pieters, D. [Medisch Instituut Sint Augustinus, Wilrijk (Belgium); Goossens, H. [Sint-Elisabeth Ziekenhuis, Turnhout (Belgium); Haest, K.; Mertens, N. [Sint Norbertus Ziekenhuis, Duffel (Belgium)

    1995-12-01

    During the first year of the provincial QA project, joint procedures were set up for the routine quality control of linear accelerators, Cobalt treatment machines and simulators. A set of standard forms was produced for use in all centres, respecting the differences in each individual machine. Since forms are now in use in all centres, the second year of the project mainly focused on the QA/QC of the contract therapy machine and treatment planning system. QC measurements for the contract therapy machines were performed in air or in a phantom. Since the output was checked with the same ionisation chamber (0.33 cc flat chamber calibrated for 50 kV) and the same type of electrometer in all centres, the results could be compared mutually and with the reference values. The major parameter groups, tested for the treatment planning system were: isodose distribution (visual control of all square fields in the database of the system), PDD data (analysing of 10 x 10 cm{sup 2}, 20 x 20 cm{sup 2}, 30 x 30 cm{sup 2} and 40 x 40 cm{sup 2} open or wedged fields), output factors, wedge and tray factors, inverse square law, geometrical testing of the digitizer - screen - printer and geometrical and densitometrical testing of the CT images - screen - printer. Between 496 and 1243 parameters were investigated in the different centres (depending on the presence of the electron data). Irregularities (0 % to 4 % of the total investigated parameters) were reported to the respective physicist.