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

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 prop...

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Published in:Materials science & engineering. A, Structural materials : properties, microstructure and processing Structural materials : properties, microstructure and processing, 2019-06, Vol.758, p.56-59
Main Authors: Lee, Sang-In, Lee, Joonho, Hwang, Byoungchul
Format: Article
Language:English
Subjects:
Bainite
Bainitic steel
Elongation
Empirical equations
High strength
Microstructure
Microstructure-based
Multiple linear regression analysis
Prediction
Regression analysis
Steels
Uniform elongation
Yield ratio
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description 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.
doi_str_mv 10.1016/j.msea.2019.04.113
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subjects Bainite
Bainitic steel
Elongation
Empirical equations
High strength
Microstructure
Microstructure-based
Multiple linear regression analysis
Prediction
Regression analysis
Steels
Uniform elongation
Yield ratio
title Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis
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