Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Sang-In-
dc.contributor.authorLee, Joonho-
dc.contributor.authorHwang, Byoungchul-
dc.date.accessioned2021-09-01T13:53:34Z-
dc.date.available2021-09-01T13:53:34Z-
dc.date.created2021-06-18-
dc.date.issued2019-06-05-
dc.identifier.issn0921-5093-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/64801-
dc.description.abstractMicrostructures 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.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE SA-
dc.subjectCOOLED LOW-CARBON-
dc.subjectAPI X60-
dc.subjectSTRAIN-
dc.subjectDEFORMATION-
dc.subjectBEHAVIOR-
dc.titleMicrostructure-based prediction of yield ratio and uniform elongation in high-strength bainitic steels using multiple linear regression analysis-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Joonho-
dc.identifier.doi10.1016/j.msea.2019.04.113-
dc.identifier.scopusid2-s2.0-85065231981-
dc.identifier.wosid000471737800007-
dc.identifier.bibliographicCitationMATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, v.758, pp.56 - 59-
dc.relation.isPartOfMATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING-
dc.citation.titleMATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING-
dc.citation.volume758-
dc.citation.startPage56-
dc.citation.endPage59-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaMetallurgy & Metallurgical Engineering-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMetallurgy & Metallurgical Engineering-
dc.subject.keywordPlusCOOLED LOW-CARBON-
dc.subject.keywordPlusAPI X60-
dc.subject.keywordPlusSTRAIN-
dc.subject.keywordPlusDEFORMATION-
dc.subject.keywordPlusBEHAVIOR-
dc.subject.keywordAuthorMicrostructure-based-
dc.subject.keywordAuthorPrediction-
dc.subject.keywordAuthorBainitic steel-
dc.subject.keywordAuthorMultiple linear regression analysis-
dc.subject.keywordAuthorYield ratio-
dc.subject.keywordAuthorUniform elongation-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Materials Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, Joon ho photo

LEE, Joon ho
공과대학 (신소재공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE