28 August 1995 Optimum cutting parameters selection strategy based on neural network and artificial intelligence
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Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217532
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Cheng Liang, Xisen Wen, Shengyi Li, Shuzi Yang, "Optimum cutting parameters selection strategy based on neural network and artificial intelligence", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217532; https://doi.org/10.1117/12.217532
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