Integration of feature based design and feature recognition

Jung Hyun Han, Aristides A.G. Requicha

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

Process planning for machined parts typically requires that a part be described through machining features such as holes, slots and pockets. This paper presents a novel feature finder, which automatically generates a part interpretation in terms of machining features, by utilizing information from a variety of sources such as nominal geometry, tolerances and attributes, and design features. The feature finder strives to produce a desirable interpretation of the part as quickly as possible. If this interpretation is judged unacceptable by a process planner, alternatives can be generated on demand. The feature finder uses a hint-based approach, and combines artificial intelligence techniques, such as blackboard architecture and uncertain reasoning, with the geometric completion procedures first introduced in the OOFF system previously developed at USC.

Original languageEnglish
Pages (from-to)393-403
Number of pages11
JournalCAD Computer Aided Design
Volume29
Issue number5
DOIs
Publication statusPublished - 1997 May
Externally publishedYes

Keywords

  • Feature model conversion
  • Feature recognition
  • Multiple interpretations

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering

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