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Article: Recognition of machining features - A hybrid approach
Title | Recognition of machining features - A hybrid approach |
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Authors | |
Issue Date | 2000 |
Publisher | Taylor & 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? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/74253 |
ISSN | 2023 Impact Factor: 7.0 2023 SCImago Journal Rankings: 2.668 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Lam, SM | en_HK |
dc.contributor.author | Wong, TN | en_HK |
dc.date.accessioned | 2010-09-06T06:59:28Z | - |
dc.date.available | 2010-09-06T06:59:28Z | - |
dc.date.issued | 2000 | en_HK |
dc.identifier.citation | International Journal Of Production Research, 2000, v. 38 n. 17 SPEC., p. 4301-4316 | en_HK |
dc.identifier.issn | 0020-7543 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/74253 | - |
dc.description.abstract | This 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.language | eng | en_HK |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp | en_HK |
dc.relation.ispartof | International Journal of Production Research | en_HK |
dc.title | Recognition of machining features - A hybrid approach | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+approach | en_HK |
dc.identifier.email | Wong, TN: tnwong@hku.hk | en_HK |
dc.identifier.authority | Wong, TN=rp00192 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-0034694478 | en_HK |
dc.identifier.hkuros | 63137 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0034694478&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 38 | en_HK |
dc.identifier.issue | 17 SPEC. | en_HK |
dc.identifier.spage | 4301 | en_HK |
dc.identifier.epage | 4316 | en_HK |
dc.identifier.isi | WOS:000165846400025 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Lam, SM=7402279658 | en_HK |
dc.identifier.scopusauthorid | Wong, TN=55301015400 | en_HK |
dc.identifier.issnl | 0020-7543 | - |