Detailed Information

Cited 16 time in webofscience Cited 17 time in scopus
Metadata Downloads

Influence of Yield Stress Determination in Anisotropic Hardening Model on Springback Prediction in Dual-Phase Steel

Full metadata record
DC Field Value Language
dc.contributor.authorLee, J.-
dc.contributor.authorBong, H. J.-
dc.contributor.authorHa, J.-
dc.contributor.authorChoi, J.-
dc.contributor.authorBarlat, F.-
dc.contributor.authorLee, M-G-
dc.date.accessioned2025-03-21T08:30:13Z-
dc.date.available2025-03-21T08:30:13Z-
dc.date.issued2018-08-
dc.identifier.issn1047-4838-
dc.identifier.issn1543-1851-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/77515-
dc.description.abstractIn this study, a numerical sensitivity analysis of the springback prediction was performed using advanced strain hardening models. In particular, the springback in U-draw bending for dual-phase 780 steel sheets was investigated while focusing on the effect of the initial yield stress determined from the cyclic loading tests. The anisotropic hardening models could reproduce the flow stress behavior under the non-proportional loading condition for the considered parametric cases. However, various identification schemes for determining the yield stress of the anisotropic hardening models significantly influenced the springback prediction. The deviations from the measured springback varied from 4% to 13.5% depending on the identification method.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleInfluence of Yield Stress Determination in Anisotropic Hardening Model on Springback Prediction in Dual-Phase Steel-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1007/s11837-018-2910-4-
dc.identifier.scopusid2-s2.0-85051134272-
dc.identifier.wosid000440845900034-
dc.identifier.bibliographicCitationJOM, v.70, no.8, pp 1560 - 1566-
dc.citation.titleJOM-
dc.citation.volume70-
dc.citation.number8-
dc.citation.startPage1560-
dc.citation.endPage1566-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaMetallurgy & Metallurgical Engineering-
dc.relation.journalResearchAreaMineralogy-
dc.relation.journalResearchAreaMining & Mineral Processing-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMetallurgy & Metallurgical Engineering-
dc.relation.journalWebOfScienceCategoryMineralogy-
dc.relation.journalWebOfScienceCategoryMining & Mineral Processing-
dc.subject.keywordPlusHIGH-STRENGTH STEELS-
dc.subject.keywordPlusPLASTIC BEHAVIOR-
dc.subject.keywordPlusBACK PREDICTION-
dc.subject.keywordPlusALLOY SHEETS-
dc.subject.keywordPlusLARGE-STRAIN-
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 나노신소재공학부금속재료공학전공 > Journal Articles

qrcode

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

Related Researcher

Researcher Bong, Hyuk Jong photo

Bong, Hyuk Jong
대학원 (나노신소재융합공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE