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

被引：81

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

页码：252 / 259

页数：8

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