Modeling of high temperature rheological behavior of AZ61 Mg-alloy using inverse method and ANN

被引:31
作者
Anaraki, M. Talebi [2 ]
Sanjari, M. [1 ]
Akbarzadeh, A. [2 ]
机构
[1] Mat & Energy Res Ctr, Tehran, Iran
[2] Sharif Univ Technol, Dept Mat Sci & Engn, Tehran, Iran
关键词
AZ61 magnesium alloy; rheological behavior; hot deformation; ANN; inverse method;
D O I
10.1016/j.matdes.2008.03.027
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Inverse method and artificial neural network were employed in modeling the theological behavior of the AZ61 Mg alloy. The hot deformation behavior of these alloys was investigated by compression tests in the temperature range 250-350 degrees C and strain rate range 0.0005-0.1 s(-1). Investigation of stress-strain curves and microstructure of the compression specimen illustrate occurrence of dynamic recrystallization. To determining parameters of two suggested constitutive equations global optimization technique, genetic algorithm, was used. The predicted results by inverse method and ANN depicted a good agreement with the experimental data even if the ANN results has shown the best predicted capability. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1701 / 1706
页数:6
相关论文
共 34 条
[1]   Plastic anisotropy and the role of non-basal slip in magnesium alloy AZ31B [J].
Agnew, SR ;
Duygulu, Ö .
INTERNATIONAL JOURNAL OF PLASTICITY, 2005, 21 (06) :1161-1193
[2]  
ANIJDAN SHM, 2005, MAT DESIGN, V28, P609
[3]  
[Anonymous], 2000, ASM SPEC HDB, P2
[4]  
[Anonymous], 1975, Adaptation in neural and artificial systems
[5]   Compressive plastic deformation of an AS21X magnesium alloy produced by high pressure die casting at elevated temperatures [J].
Barbagallo, S ;
Cavaliere, P ;
Cerri, E .
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2004, 367 (1-2) :9-16
[6]  
CAVALIERE P, COMP MATER SCI, DOI DOI 10.1016/J.C0MMATSCI.2006.05.002
[7]  
CHENOT JL, 1994, WORLD C COMP MECH CH
[8]   Using neural networks to predict parameters in the hot working of aluminum alloys [J].
Chun, MS ;
Biglou, J ;
Lenard, JG ;
Kim, JG .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 86 (1-3) :245-251
[9]   Application of a genetic algorithm to process optimal design in non-isothermal metal forming [J].
Chung, JS ;
Hwang, SM .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1998, 80-1 :136-143
[10]   A globally convergent Lagrangian barrier algorithm for optimization with general inequality constraints and simple bounds [J].
Conn, AR ;
Gould, N ;
Toint, PL .
MATHEMATICS OF COMPUTATION, 1997, 66 (217) :261-+