钢的马氏体转变开始温度预测研究进展  

Advances in Prediction of Martensite Start Temperature for Steel

作　　者：刘鹏[1] 何亮[2] 张玉祥[2] 朱丙坤[2] 

机构地区：[1]海军驻洛阳407厂军事代表室,河南洛阳471039 [2]中国船舶重工集团公司第七二五研究所,河南洛阳471023

出　　处：《材料开发与应用》2015年第4期88-92,共5页Development and Application of Materials

摘　　要：钢的马氏体转变开始温度(MS点)对分析马氏体相变过程、指导合金成分设计、制定热处理工艺和焊接工艺等方面具有重要意义。本文着重介绍了MS点的预测方法,主要分为经验回归模型、热力学模型和神经网络模型,并对三种模型的研究进展和优缺点进行详细评述。Martensite start temperature（ MS） for steel is very important for analysis of martensite transformation process,guidance of alloy design,establishment of heat treatment process and welding process. This article introduced the methods of predicting MS,which can be divided into empirical regression model,thermodynamic model and neural network model. Research progress,advantage and disadvantage of the three models were also discussed in detail.

关 键 词：MS点 经验回归 热力学 神经网络 模型 

分 类 号：TG151[金属学及工艺—热处理]