DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hariharan, K | - |
dc.contributor.author | Nguyen, NT | - |
dc.contributor.author | Chakraborti, N | - |
dc.contributor.author | Lee, MG | - |
dc.contributor.author | Barlat, F | - |
dc.contributor.author | 이명규 | - |
dc.date.accessioned | 2016-03-31T07:36:55Z | - |
dc.date.available | 2016-03-31T07:36:55Z | - |
dc.date.issued | 2014-12 | - |
dc.identifier.citation | STEEL RESEARCH INTERNATIONAL | - |
dc.identifier.citation | v.85 | - |
dc.identifier.citation | no.12 | - |
dc.identifier.citation | pp.1597-1607 | - |
dc.identifier.issn | 1611-3683 | - |
dc.identifier.other | 2015-OAK-0000031707 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/13824 | - |
dc.description.abstract | Formability 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.statementofresponsibility | X | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.subject | TWB | - |
dc.subject | drawbead | - |
dc.subject | TWIP steel | - |
dc.subject | multi-objective optimization | - |
dc.subject | genetic algorithm | - |
dc.subject | neural net | - |
dc.subject | SHEET-METAL FORMABILITY | - |
dc.subject | NATURE-INSPIRED TOOL | - |
dc.subject | MATERIALS SCIENCE | - |
dc.subject | BLAST-FURNACE | - |
dc.subject | AUTOMOTIVE APPLICATIONS | - |
dc.subject | LINE MOVEMENTS | - |
dc.subject | DUAL-PHASE | - |
dc.subject | DESIGN | - |
dc.subject | MODEL | - |
dc.subject | PREDICTION | - |
dc.title | Multi-Objective Genetic Algorithm to Optimize Variable Drawbead Geometry for Tailor Welded Blanks Made of Dissimilar Steels | - |
dc.type | Article | - |
dc.contributor.college | 철강대학원 | - |
dc.identifier.doi | 10.1002/SRIN.201300471 | - |
dc.author.google | Hariharan, K | - |
dc.author.google | Nguyen, NT | - |
dc.author.google | Chakraborti, N | - |
dc.author.google | Lee, MG | - |
dc.author.google | Barlat, F | - |
dc.relation.volume | 85 | - |
dc.relation.issue | 12 | - |
dc.relation.startpage | 1597 | - |
dc.relation.lastpage | 1607 | - |
dc.contributor.id | 10118042 | - |
dc.publisher.location | GE | - |
dc.relation.journal | STEEL RESEARCH INTERNATIONAL | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.docType | Article | - |
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