Optimizing welding sequence with genetic algorithm

被引：0
|
作者：
M. H. Kadivar
K. Jafarpur
G. H. Baradaran
机构：
[1] Department of Mechanical Engineering,
[2] School of Engineering,undefined
[3] Shiraz University,undefined
[4] Shiraz,undefined
[5] Iran,undefined
来源：
Computational Mechanics | 2000年 / 26卷
关键词：
Experimental Data; Welding; Objective Function; Genetic Algorithm; Residual Stress;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The genetic algorithm method has been utilized with a thermomechanical model to determine an optimum welding sequence. The thermomechanical model developed for this purpose predicts residual stress and distortion in thin plates. The thermal history of the plate is computed using a transient two-dimensional finite element model which serves as an input to the mechanical analysis. The mechanical response of the plate is estimated through a thermoelastic-viscoplastic finite element model. The proposed model is verified by comparison with the experimental data where available. By choosing the appropriate objective function for the considered case, an optimum welding sequence is determined by a genetic algorithm.
引用
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页码：514 / 519
页数：5
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