A comparative study on modified Zerilli–Armstrong, Arrhenius-type and artificial neural network models to predict high-temperature deformation behavior in T24 steel
发布时间:2021-07-20
点击次数:
DOI码:10.1016/j.msea.2011.12.108
发表刊物:Materials Science and Engineering A
合写作者:Xiao-Feng Wang, Dong-Dong Wei, Ji-Dong Hu, Yang-Hua Li
第一作者:Hong-Ying Li
通讯作者:Hong-Ying Li
卷号:536
页面范围:216-222
是否译文:否
发表时间:2012-02-01