The prediction of hot flow behavior of Al-6%Mg alloy

被引：76
作者：
Gholamadeh, A. [1 ]
Taheri, A. Karimi [1 ]
机构：
[1] Sharif Univ Technol, Dept Mat Sci & Engn, Tehran, Iran
来源：
MECHANICS RESEARCH COMMUNICATIONS | 2009年 / 36卷 / 02期
关键词：
Hot deformation; Al-6%Mg; Artificial neural network; Constitutive equation; ARTIFICIAL NEURAL-NETWORK; MG-SI ALLOYS; COMPRESSION TEST; DEFORMATION; WORKING; MICROSTRUCTURE; PARAMETERS; EVOLUTION; STRESS; STEEL;
D O I：
10.1016/j.mechrescom.2008.06.011
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
In this research, the plastic flow behavior of Al-6%Mg alloy was studied by analyzing the results of hot compression tests in a range of temperature and strain rate. Then, an artificial neural network (ANN) model was trained at which the temperature, strain-rate, and strain parameters were used as the input layer and the flow stress as the output. The comparison of the predicted and experimental results of stress-strain curve proved the prediction capability of the ANN model. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：252 / 259
页数：8
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