期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Artificial intelligence model of complicated flow behaviors for Ti-13Nb-13Zr alloy and relevant applications 被引量:3
1
作者 ze-yan shi Guo-zheng QUAN +3 位作者 Chao AN Hui-min QIU Wei-yong WANG Zhi-hua ZHANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2019年第10期2090-2098,共9页
The comprehensive nonlinear flow behaviors of a ductile alloy play a significant role in the numerical analysis of its forming process. The accurate characterization of as-forged Ti-13 Nb-13 Zr alloy was conducted by ... The comprehensive nonlinear flow behaviors of a ductile alloy play a significant role in the numerical analysis of its forming process. The accurate characterization of as-forged Ti-13 Nb-13 Zr alloy was conducted by an improved intelligent algorithm, GA-SVR, the combination of genetic algorithm(GA) and support vector regression(SVR). The GA-SVR model learns from a training dataset and then is verified by a test dataset. As for the generalization ability of the solved GA-SVR model, no matter in β phase temperature range or(α+β) phase temperature range, the correlation coefficient R-values are always larger than 0.9999, and the AARE-values are always lower than 0.18%. The solved GA-SVR model accurately tracks the highly-nonlinear flow behaviors of Ti-13 Nb-13 Zr alloy. The stress-strain data expanded by this model are input into finite element solver, and the computation accuracy is improved. 展开更多
关键词 Ti-13Nb-13Zr alloy flow stress constitutive model support vector regression genetic algorithm
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部