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Article: Intelligent dimensioning for mechanical parts based on feature extraction

TitleIntelligent dimensioning for mechanical parts based on feature extraction
Authors
KeywordsDimensioning
Expert system
Feature extraction
Intelligent CAD
Issue Date2001
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/cad
Citation
Computer Aided Design, 2001, v. 33 n. 13, p. 949-965 How to Cite?
AbstractThis paper presents an intelligent dimensioning approach to generate dimensions for 2D drawing of mechanical parts automatically from their 3D part models based on feature extraction. The key issues include the strategies and methods for identifying dimension redundancy, recognizing dimensioning features, determining dimensioning scheme, assigning necessary dimensions to suitable views, and locating the dimensions in reasonable positions for each view using artificial intelligent technology. Based on the approach, a corresponding software prototype was developed. Finally, it is demonstrated, from an example of dimensioning a box-type part, that its dimensions were generated successfully using this intelligent dimensioning software prototype. © 2001 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/156606
ISSN
2015 Impact Factor: 2.149
2015 SCImago Journal Rankings: 1.078
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, KZen_HK
dc.contributor.authorFeng, XAen_HK
dc.contributor.authorLu, QSen_HK
dc.date.accessioned2012-08-08T08:43:10Z-
dc.date.available2012-08-08T08:43:10Z-
dc.date.issued2001en_HK
dc.identifier.citationComputer Aided Design, 2001, v. 33 n. 13, p. 949-965en_HK
dc.identifier.issn0010-4485en_HK
dc.identifier.urihttp://hdl.handle.net/10722/156606-
dc.description.abstractThis paper presents an intelligent dimensioning approach to generate dimensions for 2D drawing of mechanical parts automatically from their 3D part models based on feature extraction. The key issues include the strategies and methods for identifying dimension redundancy, recognizing dimensioning features, determining dimensioning scheme, assigning necessary dimensions to suitable views, and locating the dimensions in reasonable positions for each view using artificial intelligent technology. Based on the approach, a corresponding software prototype was developed. Finally, it is demonstrated, from an example of dimensioning a box-type part, that its dimensions were generated successfully using this intelligent dimensioning software prototype. © 2001 Elsevier Science Ltd. All rights reserved.en_HK
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/caden_HK
dc.relation.ispartofComputer Aided Designen_HK
dc.subjectDimensioningen_HK
dc.subjectExpert systemen_HK
dc.subjectFeature extractionen_HK
dc.subjectIntelligent CADen_HK
dc.titleIntelligent dimensioning for mechanical parts based on feature extractionen_HK
dc.typeArticleen_HK
dc.identifier.emailChen, KZ: kzchen188@gmail.comen_HK
dc.identifier.authorityChen, KZ=rp00097en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0010-4485(00)00132-9en_HK
dc.identifier.scopuseid_2-s2.0-0035501274en_HK
dc.identifier.hkuros67086-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035501274&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume33en_HK
dc.identifier.issue13en_HK
dc.identifier.spage949en_HK
dc.identifier.epage965en_HK
dc.identifier.isiWOS:000171805400004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChen, KZ=7410237952en_HK
dc.identifier.scopusauthoridFeng, XA=7403047129en_HK
dc.identifier.scopusauthoridLu, QS=37043927200en_HK

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