Special panel session for feature recognition at the 1997 ASME Computers in Engineering Conference

Junghyun Han, David Rosen

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Feature recognition is a discipline focusing on the design and implementation of algorithms for detecting manufacturing information such as holes, slots, etc. in a solid model. Automated feature recognition has been an active research area in solid modeling for many years, and is considered to be a critical component for CAD/CAM integration. These technical notes report the special panel session for feature recognition at the 17th ASME International Computers in Engineering Conference, held in Sacramento, CA, USA, Sept. 14-17, 1997. Four research groups participated in the pane session and reported the results of executing their feature recognition systems on a collected set of benchmark parts. The pana session aimed to be a catalyst for the feature recognition community to collaborate in establishing standard test parts and performance measures and in identifying and resolving research issues. Such an aim was successfully achi eved, and these notes report the pane sessi on.

Original languageEnglish
Pages (from-to)979-982
Number of pages4
JournalCAD Computer Aided Design
Volume30
Issue number13
Publication statusPublished - 1998 Dec 1
Externally publishedYes

Fingerprint

Feature Recognition
Engineering
Computer aided manufacturing
Computer aided design
Solid Modeling
CAD/CAM
Solid Model
Catalysts
Catalyst
Performance Measures
Manufacturing
Benchmark

Keywords

  • Feature recognition
  • Process planning

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering
  • Geometry and Topology

Cite this

Special panel session for feature recognition at the 1997 ASME Computers in Engineering Conference. / Han, Junghyun; Rosen, David.

In: CAD Computer Aided Design, Vol. 30, No. 13, 01.12.1998, p. 979-982.

Research output: Contribution to journalArticle

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