Flow softening behavior during high temperature deformation of AZ31Mg alloy

被引:78
作者
Lee, Byoung Ho
Reddy, N. S.
Yeom, Jong Taek
Lee, Chong Soo
机构
[1] Pohang Univ Sci & Technol, Dept Mat Sci & Engn, Pohang 790784, South Korea
[2] Korea Inst Machinery & Mat, Mat Technol Inst, Chang Won 641010, South Korea
关键词
AZ31 Mg alloy; hot-forging; finite elements method; dynamic recrystallization; neural networks;
D O I
10.1016/j.jmatprotec.2006.11.053
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the present study, the flow softening behavior occurring during high temperature deformation of AZ31 Mg alloy was investigated. Flow softening of AZ31 Mg alloy was considered to arise mainly due to thermal softening by deformation heating and microstructural softening by dynamic recrystallization (DRX). Artificial neural networks method was used to derive the accurate amounts of thermal softening by deformation heating. To quantify the microstructural softening, a series of mechanical tests (high temperature compressions and load relaxation tests) were conducted at various temperatures (250-500 degrees C) and strain rates (10(-4)-10(2)/s). To verify the proposed formulations, the hot-forging of AZ31 Mg alloy was conducted at the condition of 250 degrees C, 0.5/s (optimum DRX condition) with the 970 tonnes press. The Finite Element Method (FEM) was also used to simulate the hot-forging of AZ31 Mg alloy using identical conditions as experimental ones. The effect of DRX kinetics on microstructure evolution (fraction of recrystallization and recrystallized grain sizes) was implemented in a commercial FEM code followed by remapping of the state variables of temperatures, strain rates and strains. The predicted grain sizes and fractions of DRX showed good agreement with experimental results. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:766 / 769
页数:4
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