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Towards Multiprocessor Feature Recognition

Published

Author(s)

William Regli, Satyandra K. Gupta, D Nau

Abstract

The availability of low-cost computational power is enabling the development of increasingly sophisticated CAD software. Automation of design and manufacturing activities poses many difficult computational problems-significant among them is how to develop interactive systems that enable designers to explore and experiment with alternative ideas. As more downstream manufacturing activities are considered during the design phase, computational costs become problematic. Creating working software-based solutions requires a sophisticated allocation of computational resources in order to perform realistic design analyses and generate feedback. This paper presents our initial efforts to employ multiprocessor algorithms to recognize machining features from solid models of parts with large numbers of features and many geometric and topological entities. Our goal is to outline how improvements in computation time can be obtained by migrating existing software tools to multiprocessor architectures. An implementation of our approach is discussed.
Citation
Journal of Computer-Aided Design, Pub. by Elsevier Science LTD., Printed in Great Britain
Volume
29:1

Keywords

distributed computing, feature recognition, feature-based modeling, multiprocessor solid modeling

Citation

Regli, W. , Gupta, S. and Nau, D. (1997), Towards Multiprocessor Feature Recognition, Journal of Computer-Aided Design, Pub. by Elsevier Science LTD., Printed in Great Britain, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821989 (Accessed June 15, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created December 31, 1996, Updated October 12, 2021