奥氏体
过冷
材料科学
铁氧体(磁铁)
贝氏体
马氏体
冶金
人工神经网络
热力学
大气温度范围
转化(遗传学)
复合材料
微观结构
计算机科学
人工智能
化学
物理
生物化学
基因
标识
DOI:10.1515/amm-2015-0029
摘要
Abstract The paper presents empirical formulae for the calculation of austenite supercooled transformation temperatures, basing on the chemical composition, austenitising temperature and cooling rate. The multiple regression method was used. Four equations were established allowing to calculate temperature of the start area of ferrite, perlite, bainite and martensite at the given cooling rate. The calculation results obtained do not allow to determine the cooling rate range of ferritic, pearlitic, bainitic and martensite transformations. Classifiers based on logistic regression or neural network were established to solve this problem.
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