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dc.contributor.authorWu, MCen_US
dc.contributor.authorLiu, CRen_US
dc.date.accessioned2014-12-08T15:02:28Z-
dc.date.available2014-12-08T15:02:28Z-
dc.date.issued1996-08-01en_US
dc.identifier.issn0010-4485en_US
dc.identifier.urihttp://dx.doi.org/10.1016/0010-4485(95)00075-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/1137-
dc.description.abstractSolving the machine feature recognition problem has been widely recognized as a cornerstone for developing an automated process planning system directly linked to a CAD system. Various recognition techniques have been developed; however, they are in general deficient in robustness. That is, valid machined features may not be recognized and features which are recognized may not be valid in practice. This paper is intended to analyse the existing machined feature recognition techniques, which are based on the B-rep solid modelling scheme, in order to give the reasons why the robustness problem would occur. The pros and cons for recognizing machined features are also analysed. Finally, a cutter selection methodology, known as process requirement modelling, is introduced; this methodology seems to provide a promising way to solve the machined feature recognition problem. Copyright (C) 1996 Elsevier Science Ltd.en_US
dc.language.isoen_USen_US
dc.subjectmachined feature recognitionen_US
dc.subjectcutter selectionen_US
dc.subjectcomputer-aided process planningen_US
dc.titleAnalysis on machined feature recognition techniques based on B-repen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/0010-4485(95)00075-5en_US
dc.identifier.journalCOMPUTER-AIDED DESIGNen_US
dc.citation.volume28en_US
dc.citation.issue8en_US
dc.citation.spage603en_US
dc.citation.epage616en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:A1996UT26000003-
dc.citation.woscount35-
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