Modelling the correlation between processing parameters and properties of maraging steels using artificial neural network

被引:140
作者
Guo, Z [1 ]
Sha, W [1 ]
机构
[1] Queens Univ Belfast, Sch Civil Engn, Met Res Grp, Belfast BT9 5AG, Antrim, North Ireland
基金
英国工程与自然科学研究理事会;
关键词
artificial neural network; precipitation hardening; mechanical properties; processing; maraging steels;
D O I
10.1016/S0927-0256(03)00092-2
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An artificial neural network (ANN) model is developed for the analysis and simulation of the correlation between the properties of maraging steels and composition, processing and working conditions. The input parameters of the model consist of alloy composition, processing parameters (including cold deformation degree, ageing temperature, and. ageing time), and working temperature. The outputs of the ANN model include property parameters namely ultimate tensile strength, yield strength, elongation, reduction in area, hardness, notched tensile strength, Charpy impact energy, fracture toughness, and martensitic transformation start temperature. Good performance of the ANN model is achieved. The model can be used to calculate properties of maraging steels as functions of alloy composition, processing parameters, and working condition. The combined influence of Co and Mo on the properties of maraging steels is simulated using the model. The results are in agreement with experimental data. Explanation of the calculated results from the metallurgical point of view is attempted. The model can be used as a guide for further alloy development. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:12 / 28
页数:17
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