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.
| Original language | English |
|---|---|
| Pages (from-to) | 56-59 |
| Number of pages | 4 |
| Journal | Materials Science and Engineering A |
| Volume | 758 |
| DOIs | |
| Publication status | Published - 2019 Jun 5 |
Fingerprint
Keywords
- Bainitic steel
- Microstructure-based
- Multiple linear regression analysis
- Prediction
- Uniform elongation
- Yield ratio
ASJC Scopus subject areas
- Materials Science(all)
- Condensed Matter Physics
- Mechanics of Materials
- Mechanical Engineering
Cite this
Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis. / Lee, Sang In; Lee, Joonho; Hwang, Byoungchul.
In: Materials Science and Engineering A, Vol. 758, 05.06.2019, p. 56-59.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis
AU - Lee, Sang In
AU - Lee, Joonho
AU - Hwang, Byoungchul
PY - 2019/6/5
Y1 - 2019/6/5
N2 - 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.
AB - 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.
KW - Bainitic steel
KW - Microstructure-based
KW - Multiple linear regression analysis
KW - Prediction
KW - Uniform elongation
KW - Yield ratio
UR - http://www.scopus.com/inward/record.url?scp=85065231981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065231981&partnerID=8YFLogxK
U2 - 10.1016/j.msea.2019.04.113
DO - 10.1016/j.msea.2019.04.113
M3 - Article
AN - SCOPUS:85065231981
VL - 758
SP - 56
EP - 59
JO - Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
JF - Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
SN - 0921-5093
ER -