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contributor authorPatrick N. Bless
contributor authorShiv G. Kapoor
contributor authorRichard E. DeVor
contributor authorDiego Klabjan
date accessioned2017-05-09T00:16:52Z
date available2017-05-09T00:16:52Z
date copyrightNovember, 2005
date issued2005
identifier issn1087-1357
identifier otherJMSEFK-27899#866_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132147
description abstractThis paper describes an algorithmic strategy to facilitate the generation of multicomponent software tools for computer-aided manufacturing (CAM) and virtual manufacturing (VM). Components that are often used to build CAM and VM applications include a wide range of domain-specific knowledge sources and also more general utility components with often very heterogeneous characteristics. The identification of a suitable and compatible set of these components is the first and arguably most important step during the development process of any CAM or VM application. This paper presents an algorithmic strategy that automates this development step by solving a time-expanded network problem, referred to as the component set identification (CSI) problem. A definition of the CSI problem, a mathematical formulation, a solution procedure, and some computational results are presented. Finally, an application to predict hole quality in drilling is used to illustrate the functionality of the proposed algorithmic strategy.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Algorithmic Strategy for Automated Generation of Multicomponent Software Tools for Virtual Manufacturing
typeJournal Paper
journal volume127
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1954792
journal fristpage866
journal lastpage874
identifier eissn1528-8935
keywordsDrilling
keywordsEquipment and tools
keywordsComputer software
keywordsNetworks
keywordsVirtual assembly
keywordsHole quality
keywordsManufacturing
keywordsDrills (Tools)
keywordsOptimization
keywordsForce AND Geometry
treeJournal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 004
contenttypeFulltext


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