Title: Analysis on machined feature recognition techniques based on B-rep
Authors: Wu, MC
Liu, CR
工業工程與管理學系
Department of Industrial Engineering and Management
Keywords: machined feature recognition;cutter selection;computer-aided process planning
Issue Date: 1-Aug-1996
Abstract: Solving 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.
URI: http://dx.doi.org/10.1016/0010-4485(95)00075-5
http://hdl.handle.net/11536/1137
ISSN: 0010-4485
DOI: 10.1016/0010-4485(95)00075-5
Journal: COMPUTER-AIDED DESIGN
Volume: 28
Issue: 8
Begin Page: 603
End Page: 616
Appears in Collections:Articles


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  1. A1996UT26000003.pdf