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Automatic feature recognition using artificial neural networks to integrate design and manufacturing: Review of automatic feature recognition systems

Published online by Cambridge University Press:  17 December 2010

Bojan R. Babić ,
Nenad Nešić  and
Zoran Miljković
Bojan R. Babić
Affiliation:
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia
Nenad Nešić
Affiliation:
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia
Zoran Miljković
Affiliation:
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia
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Abstract

Feature technology is considered an essential tool for integrating design and manufacturing. Automatic feature recognition (AFR) has provided the greatest contribution to fully automated computer-aided process planning system development. The objective of this paper is to review approaches based on application of artificial neural networks for solving major AFR problems. The analysis presented in this paper shows which approaches are suitable for different individual applications and how far away we are from the formation of a general AFR algorithm.

Keywords

Computer-Aided Process PlanningFeature ExtractionISO 10303 Standard SeriesNeural Networks
Type
Review Article
Information
AI EDAM , Volume 25 , Issue 3: The Role of Gesture in Designing , August 2011 , pp. 289 - 304
Copyright
Copyright © Cambridge University Press 2011

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