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

Authors
Lee, Sang-InLee, JoonhoHwang, Byoungchul
Issue Date
5-6월-2019
Publisher
ELSEVIER SCIENCE SA
Keywords
Microstructure-based; Prediction; Bainitic steel; Multiple linear regression analysis; Yield ratio; Uniform elongation
Citation
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, v.758, pp.56 - 59
Indexed
SCIE
SCOPUS
Journal Title
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
Volume
758
Start Page
56
End Page
59
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/64801
DOI
10.1016/j.msea.2019.04.113
ISSN
0921-5093
Abstract
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.
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공과대학 (신소재공학부)
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