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dc.contributor.authorHariharan, K-
dc.contributor.authorNguyen, NT-
dc.contributor.authorChakraborti, N-
dc.contributor.authorLee, MG-
dc.contributor.authorBarlat, F-
dc.contributor.author이명규-
dc.date.accessioned2016-03-31T07:36:55Z-
dc.date.available2016-03-31T07:36:55Z-
dc.date.issued2014-12-
dc.identifier.citationSTEEL RESEARCH INTERNATIONAL-
dc.identifier.citationv.85-
dc.identifier.citationno.12-
dc.identifier.citationpp.1597-1607-
dc.identifier.issn1611-3683-
dc.identifier.other2015-OAK-0000031707-
dc.identifier.urihttp://oasis.postech.ac.kr/handle/2014.oak/13824-
dc.description.abstractFormability of a tailor welded blank (TWB) is affected by the strength ratio of the base metals joined. In this paper, formability of TWB with very high strength ratio made by joining twinning-induced plasticity (TWIP) and low carbon steels is numerically studied using a limiting dome height test. The drawbead geometry at the weaker side is modified to increase the dome height. The design of drawbead is optimized by treating it as a multi-objective problem with maximum dome height and minimum weldline movement as objectives, which were constructed as metamodels through a genetic algorithms based approach. The necessary data for the metamodeling are generated by finite element (FE) simulation using the commercial solver, LS-DYNA (R). The multi-objective optimization is carried out using a predator-prey genetic algorithm. The Pareto front estimated using this evolutionary approach is validated using FE simulations and a good correlation is obtained.-
dc.description.statementofresponsibilityX-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.subjectTWB-
dc.subjectdrawbead-
dc.subjectTWIP steel-
dc.subjectmulti-objective optimization-
dc.subjectgenetic algorithm-
dc.subjectneural net-
dc.subjectSHEET-METAL FORMABILITY-
dc.subjectNATURE-INSPIRED TOOL-
dc.subjectMATERIALS SCIENCE-
dc.subjectBLAST-FURNACE-
dc.subjectAUTOMOTIVE APPLICATIONS-
dc.subjectLINE MOVEMENTS-
dc.subjectDUAL-PHASE-
dc.subjectDESIGN-
dc.subjectMODEL-
dc.subjectPREDICTION-
dc.titleMulti-Objective Genetic Algorithm to Optimize Variable Drawbead Geometry for Tailor Welded Blanks Made of Dissimilar Steels-
dc.typeARTICLE-
dc.contributor.college철강대학원-
dc.identifier.doi10.1002/SRIN.201300471-
dc.author.googleHariharan, K-
dc.author.googleNguyen, NT-
dc.author.googleChakraborti, N-
dc.author.googleLee, MG-
dc.author.googleBarlat, F-
dc.relation.volume85-
dc.relation.issue12-
dc.relation.startpage1597-
dc.relation.lastpage1607-
dc.contributor.id10118042-
dc.publisher.locationGE-
dc.relation.journalSTEEL RESEARCH INTERNATIONAL-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-

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