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Article: Recognition of machining features - A hybrid approach

TitleRecognition of machining features - A hybrid approach
Authors
Issue Date2000
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
Citation
International Journal Of Production Research, 2000, v. 38 n. 17 SPEC., p. 4301-4316 How to Cite?
AbstractThis paper describes a hybrid system which endeavours to recognize machining features automatically from a boundary representation (b-rep)-based solid modeller. The graph-based approach and the volume approach are adopted in consecutive stages in a prototype feature recognition system to combine the positive aspects of both strategies. The graph-based approach is based on feature edge sequence (FES) graph, a new graph structure introduced in this system. The FES graph approach is used to extract primitive features from the three-dimensional solid model; and the volume decomposition approach is incorporated to generate multiple interpretations of the feature sets. In addition, a neural network (NN)-based technique is used to tackle the problem of nonorthogonal and arbitrary features. Using the hybrid system, a workpiece designed in b-rep solid modeller will be interpreted and represented by a set of primitive features attached with significant manufacturing parameters, including multiple interpretations, tool directions and machining sequences, etc. The overall hybrid system is able to transform a pure geometric model into a machining feature-based model which is directly applicable for downstream manufacturing applications. © 2000 Taylor & Francis Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/74253
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
References

 

DC FieldValueLanguage
dc.contributor.authorLam, SMen_HK
dc.contributor.authorWong, TNen_HK
dc.date.accessioned2010-09-06T06:59:28Z-
dc.date.available2010-09-06T06:59:28Z-
dc.date.issued2000en_HK
dc.identifier.citationInternational Journal Of Production Research, 2000, v. 38 n. 17 SPEC., p. 4301-4316en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74253-
dc.description.abstractThis paper describes a hybrid system which endeavours to recognize machining features automatically from a boundary representation (b-rep)-based solid modeller. The graph-based approach and the volume approach are adopted in consecutive stages in a prototype feature recognition system to combine the positive aspects of both strategies. The graph-based approach is based on feature edge sequence (FES) graph, a new graph structure introduced in this system. The FES graph approach is used to extract primitive features from the three-dimensional solid model; and the volume decomposition approach is incorporated to generate multiple interpretations of the feature sets. In addition, a neural network (NN)-based technique is used to tackle the problem of nonorthogonal and arbitrary features. Using the hybrid system, a workpiece designed in b-rep solid modeller will be interpreted and represented by a set of primitive features attached with significant manufacturing parameters, including multiple interpretations, tool directions and machining sequences, etc. The overall hybrid system is able to transform a pure geometric model into a machining feature-based model which is directly applicable for downstream manufacturing applications. © 2000 Taylor & Francis Ltd.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.aspen_HK
dc.relation.ispartofInternational Journal of Production Researchen_HK
dc.titleRecognition of machining features - A hybrid approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7543&volume=38&issue=17&spage=4301&epage=4316&date=2000&atitle=Recognition+of+machining+features+-+a+hybrid+approachen_HK
dc.identifier.emailWong, TN: tnwong@hku.hken_HK
dc.identifier.authorityWong, TN=rp00192en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0034694478en_HK
dc.identifier.hkuros63137en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034694478&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume38en_HK
dc.identifier.issue17 SPEC.en_HK
dc.identifier.spage4301en_HK
dc.identifier.epage4316en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLam, SM=7402279658en_HK
dc.identifier.scopusauthoridWong, TN=55301015400en_HK

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