Application of a sparse mixed regression method to design the optimal composition and heat treatment conditions for transformation-induced plasticity steel with high strength and large elongation
Application of a sparse mixed regression method to design the optimal composition and heat treatment conditions for transformation-induced plasticity steel with high strength and large elongation
复制标题
DOI：
10.1016/j.scriptamat.2022.115028
复制
发表时间：
--
影响因子：
6
通讯作者：
R. Ueji;Kenji Nagata;H. Somekawa;M. Demura
中科院分区：
文献类型：
--
作者：
R. Ueji;Kenji Nagata;H. Somekawa;M. Demura
采用稀疏混合回归方法（SMRM）自动自发地选择了几种回归模型，设计了获得低合金相变诱发塑性（TRIP）钢的化学成分和热处理条件。有关元素组成（Fe、C、Si、Mn、Cr、Ni）和等温淬火条件的输入数据来自已发表的报告。基于SMRM的这些数据的分析建立了三个模型，每个模型都提出了获得高强度和大延伸率的合金和工艺的条件。实验结果证实，所有三组条件提供贝氏体与残余奥氏体，这是必要的低合金TRIP钢。拉伸试验表明，所有三种情况都表现出> 1.6GPa的强度和> 11%的伸长率。评价冶金参数突出了两种不同的设计理念，其中一个关键因素是减少Mn含量，这是不同于大多数制备低合金TRIP钢的常规方法。
The chemical compositions and heat treatment conditions for obtaining low-alloyed transformation-induced plasticity (TRIP) steel were designed using a sparse mixed regression method (SMRM) that automatically and spontaneously selected several regression models. The input data concerning the elemental compositions (Fe, C, Si, Mn, Cr, Ni) and austempering conditions were collected from published reports. The SMRM-based analysis of these data established three models, which each proposed conditions for the alloy and process for obtaining high strength and large elongation. Experimental results confirmed that all three sets of conditions provided bainite with retained austenite, which was necessary for the low-alloyed TRIP steel. The tensile tests revealed that all three cases exhibited strengths >1.6 GPa and elongations >11%. Evaluating the metallurgical parameters highlighted two different design concepts, in one of which key factor is to reduce the Mn content, which is different from most of the conventional approach for preparing low-alloyed TRIP steel.