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Proceedings Paper

Optimum cutting parameters selection strategy based on neural network and artificial intelligence
Author(s): Jian Cheng Liang; Xisen Wen; Shengyi Li; Shuzi Yang
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Paper Abstract

In this paper an optimum cutting parameters selection strategy based on neural network and artificial intelligence is proposed. It combines NN with AI and solves the problems of intelligent decision-making for cutting parameters during machining process. BP algorithm and inference engine design are discussed. Application examples of the strategy are simulated. The results show that the proposed strategy is very effective.

Paper Details

Date Published: 28 August 1995
PDF: 5 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217532
Show Author Affiliations
Jian Cheng Liang, Changsha Institute of Technology (China)
Xisen Wen, Changsha Institute of Technology (China)
Shengyi Li, Changsha Institute of Technology (China)
Shuzi Yang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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