UM
Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach
Philip Chen C.L.2; LeClair S.R.1
1994
Source PublicationComputer-Aided Design
ISSN00104485
Volume26Issue:1Pages:59-75
AbstractAn approach to the integration of design and manufacturing knowledge is presented that uses a feature-based design environment and an unsupervised learning algorithm to categorize features into a setup for machining. Setup generation is a pivotal step in automated process planning as it greatly influences machine/tool selection, machining sequences and fixture configuration. The proposed algorithm and architecture incorporate multiple objective functions into setup generation. Intersecting and nonintersecting features within a setup are identified and classified using an associative memory. After the feature sequence has been determined, several algorithms are proposed to obtain the best tool sequence for creating the features in a setup. © 1994.
Keywordassociative memory feature intersection feature sequencing feature-based design self organization setup generation tool sequencing unsupervised learning
DOI10.1016/0010-4485(94)90007-8
URLView the original
Language英語
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Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Wright-Patterson AFB
2.Wright State University
Recommended Citation
GB/T 7714
Philip Chen C.L.,LeClair S.R.. Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach[J]. Computer-Aided Design,1994,26(1):59-75.
APA Philip Chen C.L.,&LeClair S.R..(1994).Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach.Computer-Aided Design,26(1),59-75.
MLA Philip Chen C.L.,et al."Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach".Computer-Aided Design 26.1(1994):59-75.
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