Analysis on machined feature recognition techniques based on B-rep

Muh-Cherng Wu*, C. Richard Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Scopus citations


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.

Original languageEnglish
Pages (from-to)603-616
Number of pages14
JournalCAD Computer Aided Design
Issue number8
StatePublished - 1 Jan 1996


  • Computer-aided process planning
  • Cutter selection
  • Machined feature recognition

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