中南大学李红英

当前位置: 中文主页 >> 论文成果

Application of artificial neural network and constitutive equations to describe the hot compressive behavior of 28CrMnMoV steel

发布时间：2021-07-20

点击次数：

DOI码：10.1016/j.matdes.2011.08.049

发表刊物：Materials & Design

合写作者：Dong-Dong Wei, Yang-Hua Li, Xiao-Feng Wang

第一作者：Hong-Ying Li

通讯作者：Hong-Ying Li

卷号：35

页面范围：557-562

是否译文：否

发表时间：2012-03-01

上一条： Artificial neural network and constitutive equations to predict the hot deformation behavior of modified 2.25Cr-1Mo steel

下一条： A comparative study on modified Zerilli–Armstrong, Arrhenius-type and artificial neural network models to predict high-temperature deformation behavior in T24 steel