Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis

被引：56

作者：

Lee, Sang-In ^{[1
]}

Lee, Joonho ^{[2
]}

Hwang, Byoungchul ^{[1
]}

机构：

[1] Seoul Natl Univ Sci & Technol, Dept Mat Sci & Engn, Seoul 01811, South Korea

[2] Korea Univ, Dept Mat Sci & Engn, Seoul 02841, South Korea

来源：

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING | 2019年 / 758卷

基金：

新加坡国家研究基金会;

关键词：

Microstructure-based; Prediction; Bainitic steel; Multiple linear regression analysis; Yield ratio; Uniform elongation; COOLED LOW-CARBON; API X60; STRAIN; DEFORMATION; BEHAVIOR;

D O I：

10.1016/j.msea.2019.04.113

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Microstructures of high-strength bainitic steels were quantitatively analyzed using EBSD analysis based on transformation behavior and morphological characteristics. According to multiple linear regression analysis, reliable empirical equations to predict yield ratio and uniform elongation were proposed. From the results, the fraction of the granular bainite and polygonal ferrite microstructure were estimated to be the most influential factors on the yield ratio and uniform elongation of high-strength bainitic steels, respectively.

引用

页码：56 / 59

页数：4

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