Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang-In | - |
dc.contributor.author | Lee, Joonho | - |
dc.contributor.author | Hwang, Byoungchul | - |
dc.date.accessioned | 2021-09-01T13:53:34Z | - |
dc.date.available | 2021-09-01T13:53:34Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2019-06-05 | - |
dc.identifier.issn | 0921-5093 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/64801 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE SA | - |
dc.subject | COOLED LOW-CARBON | - |
dc.subject | API X60 | - |
dc.subject | STRAIN | - |
dc.subject | DEFORMATION | - |
dc.subject | BEHAVIOR | - |
dc.title | Microstructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Joonho | - |
dc.identifier.doi | 10.1016/j.msea.2019.04.113 | - |
dc.identifier.scopusid | 2-s2.0-85065231981 | - |
dc.identifier.wosid | 000471737800007 | - |
dc.identifier.bibliographicCitation | MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, v.758, pp.56 - 59 | - |
dc.relation.isPartOf | MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING | - |
dc.citation.title | MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING | - |
dc.citation.volume | 758 | - |
dc.citation.startPage | 56 | - |
dc.citation.endPage | 59 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Metallurgy & Metallurgical Engineering | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Metallurgy & Metallurgical Engineering | - |
dc.subject.keywordPlus | COOLED LOW-CARBON | - |
dc.subject.keywordPlus | API X60 | - |
dc.subject.keywordPlus | STRAIN | - |
dc.subject.keywordPlus | DEFORMATION | - |
dc.subject.keywordPlus | BEHAVIOR | - |
dc.subject.keywordAuthor | Microstructure-based | - |
dc.subject.keywordAuthor | Prediction | - |
dc.subject.keywordAuthor | Bainitic steel | - |
dc.subject.keywordAuthor | Multiple linear regression analysis | - |
dc.subject.keywordAuthor | Yield ratio | - |
dc.subject.keywordAuthor | Uniform elongation | - |
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