Journal of Chemical Software
Online ISSN : 1883-8359
Print ISSN : 0918-0761
ISSN-L : 0918-0761
Original Papers
Development of a Neural Network Simulator for Structure-Activity Correlation of Molecules: Neco (6)- Estimation of Mechanical Properties of Cr-Mo Steel, Ni Steel, Ni-Cr Steel and Ni-Cr-Mo Steel -
Tomoko FUKUDASumie TAJIMATakatoshi MATSUMOTOUmpei NAGASHIMAHaruo HOSOYATomoo AOYAMA
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2001 Volume 7 Issue 4 Pages 179-190

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Abstract

In order to estimate mechanical properties of high tension steels for machine tools: Cr-Mo steel, Ni steel, Ni-Cr steel and Ni-Cr-Mo steel, we applied property prediction by a perceptron type neural network. It was found that six mechanical properties: yield point, tensile strength, diaphragm, impulsive force and hardness are predictable within experimental error, almost 20%, using only the amount of C, Mn, Ni, Cr and Mo in the steels.

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© 2001 by the Chemical Software Society of Japan
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