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

โœ Scribed by JungHyun Han; David Rosen

Book ID
104110624
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
275 KB
Volume
30
Category
Article
ISSN
0010-4485

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โœฆ Synopsis

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 panel session and reported the results of executing their feature recognition systems on a collected set of benchmark parts. The panel 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 achieved, and these notes report the panel session.

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This paper is a summary of the results we presented at the Feature Panel Session of the 1997 ASME Computers in Engineering Conference. Five participating groups submitted a total of nine test parts for feature recognition. To these test parts, we have applied our feature recognition method using a c