Analysis on machined feature recognition techniques based on B-rep

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 ma...

Full description

Saved in:

Bibliographic Details
Published in:	Computer aided design 1996-08, Vol.28 (8), p.603-616
Main Authors:	Wu, MC, Lit, CR
Format:	Article
Language:	eng
Subjects:	Applied sciences Artificial intelligence Computer aided design Computer science control theory systems computer-aided process planning cutter selection Exact sciences and technology Industrial design, planning, organization, safety machined feature recognition Mechanical engineering. Machine design Pattern recognition. Digital image processing. Computational geometry Software
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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.
ISSN:	0010-4485 1879-2685