Development of Al2O3/TiN Ceramic Cutting Tool Materials by Artificial Neural Networks
Author(s): Ning FAN, Xiangbo ZE, Zihui GAO
Pages: 797-800
Year: 2004 Issue: 6
Journal: JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
Keyword: Multiphase ceramics; Artificial neural network; BP algorithm;
Abstract: The artificial neural networks (ANN) which have broad application were proposed to develop multiphase ceramic cutting tool materials. Based on the back propagation algorithm of the forward multilayer perceptron, the models to predict volume content of composition in particle reinforced ceramics are established. The Al2O3/TiNl ceramic cutting tool material was developed by ANN, whose mechanical properties fully satisfy the cutting requirements.
Pages: 797-800
Year: 2004 Issue: 6
Journal: JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
Keyword: Multiphase ceramics; Artificial neural network; BP algorithm;
Abstract: The artificial neural networks (ANN) which have broad application were proposed to develop multiphase ceramic cutting tool materials. Based on the back propagation algorithm of the forward multilayer perceptron, the models to predict volume content of composition in particle reinforced ceramics are established. The Al2O3/TiNl ceramic cutting tool material was developed by ANN, whose mechanical properties fully satisfy the cutting requirements.
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