Paper Title:
Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization
  Abstract

A hybrid global optimization method combining the Real-coded genetic algorithm and some classical local optimization methods is constructed and applied to develop a special program for parameter identification. Finally, the parameter identification for both 26Cr2Ni4MoV steel and AZ31D magnesium alloy is carried out by using the program. A comparison of deformation test and numerical simulation shows that the parameter identification and the obtained two sets of material parameters are all available.

  Info
Periodical
Materials Science Forum (Volumes 561-565)
Main Theme
Edited by
Young Won Chang, Nack J. Kim and Chong Soo Lee
Pages
1869-1874
DOI
10.4028/www.scientific.net/MSF.561-565.1869
Citation
Q. L. Jin, Y. S. Zhang, "Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization", Materials Science Forum, Vols. 561-565, pp. 1869-1874, 2007
Online since
October 2007
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Price
$32.00
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