The improvement on constitutive modeling of Nb-Ti micro alloyed steel by using intelligent algorithms
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- 作者：Si-Wei Wu ; wusiwei2015@foxmail.com ; Xiao-Guang Zhou ; Guang-Ming Cao ; Zhen-Yu Liu ; Guo-Dong Wang
- 关键词：Nb-Ti micro alloyed steel ; Hot deformation behavior ; Flow stress ; Arrhenius-type model ; Genetic algorithm ; Artificial neural network
- 刊名：Materials & Design
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：116
- 期：Complete
- 页码：676-685
- 全文大小：1680 K
- 卷排序：116
文摘
The hot deformation behavior of Nb-Ti micro alloyed steel was studied by hot compression tests. The Arrhenius-type model considering compensation of strain was established. Artificial neural network was applied to model material parameters in Arrhenius-type model. Genetic algorithm was used to optimize material parameters in Arrhenius-type model. The constitutive models optimized by intelligent algorithms were compared and analyzed.