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 -

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.