Relevant bibliographies by topics / CNC machine; Distributed processor

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'CNC machine; Distributed processor'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "CNC machine; Distributed processor"

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Fountas, Nikolaos A., Constantinos I. Stergiou, Nikolaos M. Vaxevanidis, and Redha Benhadj-Djilali. "A Generic Multi-Axis Post-Processor Engine for Optimal CNC Data Creation and Intelligent Surface Machining." Solid State Phenomena 261 (August 2017): 463–69. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.463.

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This paper focuses on the development of a multi-axis post-processor engine with a curvature-based feed adaptation module, capable of extracting generic CNC data for high precision machining. The motivation of this work stems from the drawback of standard and commercial post-processors to modify their internal source codes so as to be implemented to newly-developed functions which integrate modern CNC units. The multi-axis post-processor proposed in this work operates as a stand-alone function of an artificial intelligent module that optimizes machining parameters for standard swept cut multi-axis surface tool-paths. The post-processor developed receives APT source files previously been optimized by means of a genetic algorithm that handles cutting tool selection; radial cut engagement; maximum discretization step; lead and tilt angles. The algorithm optimizes the aforementioned machining parameters towards the minimization of the number of cutter locations found in a specific APT source file as well as the surface machining error as a combined effect of chordal deviation and scallop height. The final APT output is then properly handled by the post-processor engine so as to extract the final ISO code for a double-pivoted head 5-axis CNC machine and compute optimal values for feed rate in each NC block considering the interpolation error and curvature analysis given the surface properties. To simulate and verify our proposals, the MAZAK Vortex 1000 gantry-type 5-axis CNC machine tool equipped with a Fanuc 15i CNC unit has been selected as the manufacturing resource corresponding to the final CNC output that the proposed post-processor computes. A benchmark sculptured part is created and used for the virtual material removal simulation in CATIA® V5 R18. For that part, both the proposed post-processor engine and a commercially available post-processor were employed to extract G-code data whilst it was shown that identical outputs were obtained.
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Xiang, Si Tong, Mu Wen Shen, and Jian Guo Yang. "Distributed Numerical Control Strategy for Error Compensation on CNC Machine Tools." Applied Mechanics and Materials 415 (September 2013): 188–91. http://dx.doi.org/10.4028/www.scientific.net/amm.415.188.

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A distributed numerical control (DNC) strategy for error compensation on Fanuc and Siemens CNC machine tools is proposed. A DNC network is built in multi-Fanuc CNC machine tools and the error compensation of all the machine tools is realized simultaneously. A human machine interface (HMI) is developed for Siemens 840D CNC machine tools, error components are decoupled in the X, Y and Z directions and they are compensated by 840Ds own function of thermal error compensation. Experimental verification is conducted and it proves that the proposed DNC strategy for error compensation is an effective and precision manner to improve the accuracy of machine tools.
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My, Chu Anh, and Vuong Xuan Hai. "Generalized pseudo inverse kinematics at singularities for developing five-axes CNC machine tool postprocessor." Vietnam Journal of Mechanics 35, no. 2 (2013): 147–55. http://dx.doi.org/10.15625/0866-7136/35/2/3074.

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This paper presents an analytical scheme for analyzing the singular configuration problem of general five-axes CNC machine tool. A computational technique based on the generalized pseudo inverse kinematics for finding out feasible solution of the problem is proposed. The technique is then used for developing post processor algorithm of five-axes CNC machine tool. Typical examples of singularity analysis are carried out, and real cutting parts are implemented for verifying the research result.
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Liu, Yadong, Xingui Guo, Wei Li, Kazuo Yamazaki, Keizo Kashihara, and Makoto Fujishima. "An intelligent NC program processor for CNC system of machine tool." Robotics and Computer-Integrated Manufacturing 23, no. 2 (2007): 160–69. http://dx.doi.org/10.1016/j.rcim.2006.04.003.

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Djurica, Danijel, Milenko Sekulić, Davorin Kramar, Pavel Kovač, and Marin Gostimirović. "Using Advanced CAM System in Modern Machining." Key Engineering Materials 686 (February 2016): 27–32. http://dx.doi.org/10.4028/www.scientific.net/kem.686.27.

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Goal of this paper highlight characteristics and spectrum of machining cutting sequences that programming system SolidCAM support. The practical goal of this paper is defining post-processor and machine simulation for 3-axis CNC machine like a tool for verification modern tool-path and generation G-code that will be used for cutting real part.
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Yudianto, Yudianto. "AN OVERVIEW OF DIRECT OR DISTRIBUTED NUMERICAL CONTROL IN COMPUTER NUMERICAL CONTROL APPLICATIONS." Journal of Mechanical Science and Engineering 7, no. 2 (2021): 025–29. http://dx.doi.org/10.36706/jmse.v7i2.38.

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Direct numerical control is also known as distributed numerical control (also abbreviated DNC), is a common manufacturing term for networking CNC machine tools. On some CNC machine controllers, the available memory is too small to contain the machining program (for example machining complex surfaces), so in this case the program is stored in a separate computer and sent directly to the machine, one block at a time. If the computer is connected to a number of machines it can distribute programs to different machines as required. Usually, the manufacturer of the control provides suitable DNC software. However, if this provision is not possible, some software companies provide DNC applications that fulfill the purpose. DNC networking or DNC communication is always required when Computer-Aided Manufacturing (CAM) programs are to run on some CNC machine control. Wireless DNC is also used in place of hard-wired versions. Controls of this type are very widely used in industries with significant sheet metal fabrication, such as the automotive, appliance, and aerospace industries. A DNC system has to fulfill two basic tasks such as first guaranteeing secure, timely data transfer from and to the CNC controllers, secondly administering many thousands of NC programs.
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Saputra, Roni Permana, Tinton Dwi Atmaja, and Budi Prawara. "Distributed Control System Design for Portable PC Based CNC Machine." Journal of Mechatronics, Electrical Power, and Vehicular Technology 5, no. 1 (2014): 37. http://dx.doi.org/10.14203/j.mev.2014.v5.37-44.

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Wang, Chao, Yuan Yao, Qian Sheng Zhao, and Qing Xi Hu. "Research about Numerical Control Machining of STL Files Based on Fagor CNC System." Advanced Materials Research 314-316 (August 2011): 1597–602. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1597.

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According to the situation that surface grid models are widely used, this article summarizes the research status of numerical control machining based on Triangle facets models, introduces the STL files in detail, expounds the process of machining STL files by using Pro/Toolmaker system, designs an independent post processor for generating NC code for Fagor machine, simulates the virtual machining process through Vericut software, verifies the actual machining process on Fagor three axis CNC milling machine. Proves the method of numerical control machining based on STL files is actually feasible for planar milling、cavity milling、profile milling, Realizes the machining of STL files based on Fagor CNC system.
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Chen, Guo Jin, Jing Ni, Ting Ting Liu, Ming Xu, and Lu Gao Lin. "Study on the Key Technology for Large-Scale High-Performance CNC Vertical Broaching Machine." Advanced Materials Research 705 (June 2013): 483–86. http://dx.doi.org/10.4028/www.scientific.net/amr.705.483.

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For the general broaching machines problems of structure bulkiness, poor cylinder synchronization, lack of optimization design, low-grade control system, low efficiency and operational reliability, the paper studied the structural optimization technology of the large-scale high-performance CNC vertical broaching machine, designed the new 360-degree high-load lateral rotary table, the axial-rotary multi-pass joint of the anti-leakage and the elastic-contact, and the modular slider rails, so as to improve the mechanical performance, the working stability and reliability. The remote network intelligent monitoring system and the multi-function data acquisition processor for the developed CNC broaching machine, realize the enterprise management information, the enterprise resource optimization, and the automation and intelligence of the manufacturing process.
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Altintas¸, Y., N. Newell, and M. Ito. "Modular CNC Design for Intelligent Machining, Part 1: Design of a Hierarchical Motion Control Module for CNC Machine Tools." Journal of Manufacturing Science and Engineering 118, no. 4 (1996): 506–13. http://dx.doi.org/10.1115/1.2831060.

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An hierarchical motion-control design strategy is presented to integrate various intelligent machining modules to CNC systems. There are two independent buses in the CNC system. Modular and independent processor boards reside in the primary bus which is global for manufacturing process monitoring, control and machine tool position commands. A digital signal processing board provides a secondary CNC bus, which has one imbedded microprocessor for the position control of each axis. The system is open to integration of new hardware and software modules. Any process control and monitoring task in the system can manipulate the feed, acceleration, control law parameters and position commands in real time. New process control, monitoring and position control algorithms can be integrated to the system by using globally available CNC parameters. The process control and monitoring functions are executed in the real-time multi-tasking environment within 1 ms time intervals without disturbing the position control system. The proposed design provides an open development platform for parallel testing of intelligent manufacturing algorithms on machine tools and robots.
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Dissertations / Theses on the topic "CNC machine; Distributed processor"

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Smith, Anthony Paul. "Improved axis synchronisation in a distributed machine control interpolator." Thesis, Nottingham Trent University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261374.

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Kanburoglu, Furkan A. "Distributed Control System For Cnc Machine Tools." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610599/index.pdf.

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&ldquo<br>Numerically Controlled&rdquo<br>(NC) machine tools, which are automatically operated by encoded (digital) commands, are capable of machining components with quality and quantity. Manufacturing industry heavily depends on these machines. Many different control architectures have been adapted in today&rsquo<br>s CNC technology. Centralized control system is quite popular in industry due to its ease of implementation. If the number of controlled axes on a CNC machine tool (&gt<br>3), increases so does the computational burden on the central processors. Hence, more powerful processors are needed. An alternative architecture, which is not commonly used in CNC technology, is the decentralized (distributed) control. In this topology, the tasks handled by the distributed controllers that are interconnected to each other by a communication network. As the need arises, a new controller can be added easily to the network without augmenting the physical configuration. Despite its attractive features, this architecture has not been fully embraced by the CNC industry. Synchronization among the axes in the coordinated motion is proven to be quite challenging. In this thesis, alternative distributed controller architecture was proposed for CNC machine tools. It was implemented on a 3-axis CNC milling machine. Open-loop control performance was investigated under various conditions. Different communication protocols along with different physical communication interfaces and a number of controller hardware were devised. An industry-standard network (RS-485) was set up by interconnecting these distributed controllers. Different data transmission protocols were devised in order to establish appropriate communication methods. Also, computer software (a.k.a. graphical user interface), which can coordinate the interconnected controllers, interpret NC part programs and generate reference position data for each axis, was designed within the scope of this thesis.
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Palomeque, Soto José Enrique. "DEVELOPMENT OF A MANUFACTURING CELL IN COMPLIANCE WITH IEC 61499 : Implementation of a function blocks network for controlling a CNC-based system." Thesis, Högskolan i Skövde, Institutionen för teknik och samhälle, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6316.

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Today’s   market   is   subjected   to   numerous   changes   due   to   the   need   of   continuous improvement  of  different  commercial  brands  in  order  to  survive  against  competitors.  This competition  drives  the  evolution  of  industrial  processes,  to  satisfy  the  high  customers’ requirements. It means that factors such as flexibility, adaptability and agility are crucial for the  successful  development  of  industries,  which  experience  some  degrees  of  uncertainty due  to  machine  breakdowns,  delays  and  market  fluctuations  among  others.  The  current trend  in  manufacturing  industries  consists  in  the  implementation  of  distributed  control systems (DCS), substituting the earlier programmable logic controllers (PLC) systems where a main  processor  operated  as  the  central  unit  of  the  system.  To  this  end,  the  application  of function  blocks  (FB)  compliant  with  the  IEC  61499  standard  represents  an  innovative technique  for  dealing  with  the  design  and  programming  of  DCSs.  These  FBs  enable  the creation  of  event-driven  networks  governed  by  embedded  algorithms  that  can  be  used  to enhance  the  flexibility  and  portability  of  industrial  job-shops  based  on  a  distributed architecture.  Job-shop  floors  represent  a  principal  concept  in  manufacturing  industries.  This  project  is focused on the integration of a computer numerically controlled (CNC) machine and a gantry robot  which  must  be  coordinated  and  cooperate  for  the  achievement  of  an  industrial machining  and  assembly  process.  It  implies  the  design  of  a  PLC-managed  distributed  cell using  nxtControl  software.  This  software  facilitates  the  construction  of  FBs-networks  to control both machines and enables the communication process via service interface function blocks (SI-FB). Likewise, the whole process will be monitored using an interface also created within nxtControl which will allow the operator to decide the batch and characteristics of the production.  This project is also intended to set the basis for the understanding of the FB concept defined in  IEC  61499  which  moves  away  from  earlier  scan-based  systems  to  event-driven  models, aiming to contribute to the development of future research in the function blocks area.
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Book chapters on the topic "CNC machine; Distributed processor"

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Xu, Xun. "Function Block-Enabled Integration." In Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-714-0.ch012.

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Function blocks are an IEC (International Electro-technical Commission) standard for distributed industrial processes and control systems (IEC 61499, 2005). It is based on an explicit event driven model and provides for data flow and finite state automata-based control. Based on previous research, function blocks can be used as the enabler to encapsulate process plans, integrate with a third-party dynamic scheduling system, monitor process plan during execution, and control machining jobs under normal and abnormal conditions. They are also considered to be suitable for machine-level monitoring, shop-floor execution control, and CNC control. Combination of STEP-NC and Function Blocks can be seen as a “natural marriage”. This is because the former provides an informationally complete data model but with no functionality, whereas the latter can embed intelligence and provide functionality in the data model for a more capable CNC regime. This chapter introduces the function block architecture which has been implemented in two types of integrations. The first brings together CAD, CAPP, and CAM. The key is to embed machining information in a function block system that is based on the concept of machining features. The second integration connects CAM with CNC. This is in fact an open CNC architecture that is function block driven, instead of G-code driven.
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Devare, Manoj Himmatrao. "Challenges and Opportunities in High Performance Cloud Computing." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch096.

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The scientist, engineers, and researchers highly need the high-performance computing (HPC) services for executing the energy, engineering, environmental sciences, weather, and life science simulations. The virtual machine (VM) or docker-enabled HPC Cloud service provides the advantages of consolidation and support for multiple users in public cloud environment. Adding the hypervisor on the top of bare metal hardware brings few challenges like the overhead of computation due to virtualization, especially in HPC environment. This chapter discusses the challenges, solutions, and opportunities due to input-output, VMM overheads, interconnection overheads, VM migration problems, and scalability problems in HPC Cloud. This chapter portrays HPC Cloud as highly complex distributed environment consisting of the heterogeneous types of architectures consisting of the different processor architectures, inter-connectivity techniques, the problems of the shared memory, distributed memory, and hybrid architectures in distributed computing like resilience, scalability, check-pointing, and fault tolerance.
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Devare, Manoj Himmatrao. "Challenges and Opportunities in High Performance Cloud Computing." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7335-7.ch005.

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The scientist, engineers, and researchers highly need the high-performance computing (HPC) services for executing the energy, engineering, environmental sciences, weather, and life science simulations. The virtual machine (VM) or docker-enabled HPC Cloud service provides the advantages of consolidation and support for multiple users in public cloud environment. Adding the hypervisor on the top of bare metal hardware brings few challenges like the overhead of computation due to virtualization, especially in HPC environment. This chapter discusses the challenges, solutions, and opportunities due to input-output, VMM overheads, interconnection overheads, VM migration problems, and scalability problems in HPC Cloud. This chapter portrays HPC Cloud as highly complex distributed environment consisting of the heterogeneous types of architectures consisting of the different processor architectures, inter-connectivity techniques, the problems of the shared memory, distributed memory, and hybrid architectures in distributed computing like resilience, scalability, check-pointing, and fault tolerance.
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Ben Othman, Slim, Ahmed Karim Ben Salem, and Slim Ben Saoud. "Performance Analysis of FPGA Architectures based Embedded Control Applications." In Reconfigurable Embedded Control Systems. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-086-0.ch011.

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The performances of System on Chip (SoC) and the Field Programmable Gate Array (FPGA) particularly, are increasing continually. Due to the growing complexity of modern embedded control systems, the need of more performance digital devices is evident. Recent FPGA technology makes it possible to include processor cores into the FPGA chip, which ensures more flexibility for digital controllers. Indeed, greater functionality of hardware and system software, Real-Time (RT) platforms and distributed subsystems are demanded. In this chapter, a design concept of FPGA based controller with Hardware/Software (Hw/Sw) codesign is proposed. It is applied for electrical machine drives. There are discussed different MultiProcessor SoC (MPSoC) architectures with Hw peripherals for the implementation on FPGA-based embedded processor cores. Hw accelerators are considered in the design to enhance the controller speed performance and reduce power consumption. Test and validation of this control system are performed on a RT motor emulator implemented on the same FPGA. Experimental results, carried on a real prototyping platform, are given in order to analyze the performance and efficiency of discussed architecture designs helping to support hard RT constraints.
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Au, Wai-Ho. "A Distributed Algorithm for Mining Fuzzy Association Rules in Traditional Databases." In Database Technologies. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-058-5.ch148.

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The mining of fuzzy association rules has been proposed in the literature recently. Many of the ensuing algorithms are developed to make use of only a single processor or machine. They can be further enhanced by taking advantage of the scalability of parallel or distributed computer systems. The increasing ability to collect data and the resulting huge data volume make the exploitation of parallel or distributed systems become more and more important to the success of fuzzy association rule mining algorithms. This chapter proposes a new distributed algorithm, called DFARM, for mining fuzzy association rules from very large databases. Unlike many existing algorithms that adopt the support-confidence framework such that an association is considered interesting if it satisfies some user-specified minimum percentage thresholds, DFARM embraces an objective measure to distinguish interesting associations from uninteresting ones. This measure is defined as a function of the difference in the actual and the expected number of tuples characterized by different linguistic variables (attributes) and linguistic terms (attribute values). Given a database, DFARM first divides it into several horizontal partitions and assigns them to different sites in a distributed system. It then has each site scan its own database partition to obtain the number of tuples characterized by different linguistic variables and linguistic terms (i.e., the local counts), and exchange the local counts with all the other sites to find the global counts. Based on the global counts, the values of the interestingness measure are computed, and the sites can uncover interesting associations. By repeating this process of counting, exchanging counts, and calculating the interestingness measure, it unveils the underlying interesting associations hidden in the data. We implemented DFARM in a distributed system and used a popular benchmark data set to evaluate its performance. The results show that it has very good size-up, speedup, and scale-up performance. We also evaluated the effectiveness of the proposed interestingness measure on two synthetic data sets. The experimental results show that it is very effective in differentiating between interesting and uninteresting associations.
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Conference papers on the topic "CNC machine; Distributed processor"

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Michaloski, John L., Johannes A. Soons, and Frederick M. Proctor. "Accessing the Performance of Model-Based Control in a Distributed Machine Tool Control Environment." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57792.

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Although Computerized Numerical Controller (CNC) machine tools have greatly improved precision, quality and productivity, there are still many areas where inaccuracies and inefficiencies remain. Model-Based Control (MBC) is a technique to advance machine tool accuracy and part quality by compensating for machine and process errors. Nominal Differential Expansion (NDE) thermal compensation is one MBC approach which we have integrated into a CNC turning machine testbed. To allow portability and redeployment of the CNC technology, the MBC testbed was implemented as a component-based system using a distributed programming infrastructure. This paper looks at software and performance issues related to distributed MBC architecture, which is slower due to increased overhead from network communication. We look at the requirements of distributed infrastructure as implemented by the Distributed Component Object Model (DCOM), and assess the performance of various DCOM configurations matching the MBC requirements. Results from our analysis of the distributed performance using MBC-based DCOM configurations are presented.
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Wang, Lihui. "DPP: A Distributed Process Planning Approach Using Function Blocks." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dfm-34194.

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The objective of this research is to develop a new methodology for intelligent and distributed process planning. The primary focus of this paper is on the architecture of the new process planning approach, using function blocks as controller language. The secondary focus is on the other supporting technologies such as machining feature-based design and agent-based decision-making. The methodology proposed for distributed process planning is based on a design-for-machining concept that can seamlessly integrate feature-based design and agent-based planning into function block-based CNC control. Different from traditional methods, the proposed approach has a two-layer structure – supervisory planning and operation planning. The supervisory planning is performed in advance at shop floor level, followed by the operation planning accomplished at run-time at machine level by open CNC controllers. Through decentralization, the distributed process planning shows promise of improving system performance within today’s continually changing shop floor environment.
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Chung, Moon Jung, Dave Keyes, Young K. Choi, Patrick Kwon, Hua Gu, and Markus Behr. "A Web-Based Framework for Design and Manufacturing a Mechanical System." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dac-5599.

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Abstract For industries to gain competitiveness in a global market, an infrastructure is necessary that efficiently coordinates a variety of design and manufacturing activities taking place simultaneously as well as sequentially at distant locations. We propose a web-based engineering framework for such infrastructure, which integrates various advanced design/manufacturing systems such as CAD, FEM and CAM, provides relationships among product data, and coordinates with manufacturing processes. This paper demonstrates the current capability of our framework with a benchmark study on a gearbox. Designers can access the framework through the WWW browser and start the design with a set of requirements such as the required torque and gear reduction ratio. Using the Common Gateway Interface (CGI) to execute the various tools distributed on the networks, the framework autonomously performs a sequence of engineering analysis and searches for a set of components that meets the overall requirement of our design. The framework also integrates the design results with manufacturing processes by selecting appropriate cutting tools, machining conditions, sequence of operations and surface finish. During the design process, designers can check the design results ranging from the graphical display of our design to the CNC code to machine designed shafts that are generated by the framework.
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Hull, Patrick V., and Stephen Canfield. "Optimal Synthesis of Compliant Mechanisms Using Subdivision and Commercial FEA." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57497.

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The field of distributed-compliance mechanisms has seen significant work in developing suitable topology optimization tools for their design. These optimal design tools have grown out of the techniques of structural optimization. This paper will build on the previous work in topology optimization and compliant mechanism design by proposing an alternative design space parameterization through control points and adding another step to the process, that of subdivision. The control points assist a specific design to be represented as a solid model during the optimization process. The process of subdivision creates an additional number of control points that help smooth the surface (for example a C2 continuous surface depending on the method of subdivision chosen) creating a manufacturable design free of traditional numerical instabilities. Note that these additional control points do not add to the number of design parameters. This alternative parameterization and description as a solid model effectively and completely separates the design variables from the analysis variables during the optimization procedure. The motivation behind this work is to avoid several of the numerical instabilities that occur in topology optimization and to create an automated design tool from task definition to functional prototype created on a CNC or rapid-prototype machine. This paper will describe the complaint mechanism design process including subdivision and will demonstrate the procedure on several common examples.
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Yong, Yang, and Wen Shan. "Distributed Intelligent Maintenance System for CNC Machine Tools Based on Kansei Engineering." In 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.268.

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Suh, Jinwoo, Richard Lethin, Stephen P. Crago, Janice O. McMahon, and Dong-In Kang. "Evaluation of Stream Virtual Machine on Raw Processor." In 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370403.

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Gosavi, Nisha R., Sunil S. Morade, and Dipankar D. Khartad. "Designing of USB Based FAT32 File System for CNC Machine Using Dual Core DSP Processor." In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2017. http://dx.doi.org/10.1109/iccubea.2017.8463760.

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Jiao, Yibo, and Dragan Djurdjanovic. "Allocation of Flexible Tooling for Optimal Stochastic Multistation Manufacturing Process Quality Control." In ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASMEDC, 2008. http://dx.doi.org/10.1115/msec_icmp2008-72443.

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Stream of Variance (SoV) modeling of multi-station manufacturing process has been studied for the past 15 years and was used for identification of root causes of manufacturing errors, characterization and optimal allocation of measurements in multi-station manufacturing processes, process-oriented tolerance allocation, and most recently, for optimal in-process adaptations of programmable, flexible tooling (flexible fixtures, CNC machines) for autonomous minimization of errors in dimensional product quality. However, due to the high cost of flexible tooling, it is plausible to strategically position such devices across a manufacturing system in a way that one’s ability to mitigate quality problems is maximized. In this paper, a distributed stochastic feed-forward control method is devised which gives the optimal (in least square sense) reduction of the variance-covariance matrix of errors in dimensional workpiece quality in a multi-station manufacturing process with a limited number of flexible tooling components. Genetic Algorithm is proposed to enable optimal allocation of flexible tooling devices. Theoretical results have been evaluated and demonstrated using the SoV model of a real industrial process.
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Leene, Lieuwe B., та Timothy G. Constandinou. "A 2.7μW/MIPS, 0.88GOPS/mm2 distributed processor for implantable brain machine interfaces". У 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2016. http://dx.doi.org/10.1109/biocas.2016.7833806.

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Murakami, Kou, Kazuhiko Komatsu, Masayuki Sato, and Hiroaki Kobayashi. "A Processor Selection Method based on Execution Time Estimation for Machine Learning Programs." In 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2021. http://dx.doi.org/10.1109/ipdpsw52791.2021.00116.

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