Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최동훈 | - |
dc.date.accessioned | 2018-03-22T06:22:07Z | - |
dc.date.available | 2018-03-22T06:22:07Z | - |
dc.date.issued | 2013-09 | - |
dc.identifier.citation | 한국자동차공학회논문집(Transactions of Korea Society of Automotive Engineers), 2014, 21(5), P.8-14 | en_US |
dc.identifier.issn | 1225-6382 | - |
dc.identifier.issn | 2234-0149 | - |
dc.identifier.uri | http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JDCGCC_2013_v21n5_8 | - |
dc.description.abstract | In this study, we propose the method of optimally selecting material of front pillar (A-pillar) and package tray for minimizing weight while satisfying vehicle requirements on static stiffness and dynamic stiffness. First, we formulate a material selection optimization problem. Next, we establish the CAE procedure of evaluating static stiffness and dynamic stiffness. Then, to enhance the efficiency of design work, we integrate and automate the established CAE procedure using a commercial process integration and design optimization (PIDO) tool, PIAnO. For effective optimization, we adopt the approach of metamodel based approximate optimization. As a sampling method, an orthogonal array (OA) is used for selecting sampling points. The response values are evaluated at the sampling points and then these response values are used to generate a metamodel of each response using the radial basis function regression (RBFr). Using the RBFr models, optimization is carried out an evolutionary algorithm that can handle discrete design variables. Material optimization result reveals that the weight is reduced by 49.8% while satisfying all the design constraints. | en_US |
dc.description.sponsorship | 본 연구는 지식경제부 산업원천기술개발사업인 “Multi-Material Mix 초경량 승용차체 개발” 사업과2011년도 2단계 두뇌한국21사업의 지원을 받아 수행되었으며, 이 연구를 위하여 PIDO 툴인 PIAnO 소프트웨어를제공한(주)피도텍에 감사드립니다. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국자동차공학회, 2013. | en_US |
dc.subject | Metamodel | en_US |
dc.subject | Orthogonal array | en_US |
dc.subject | Radial basis function regression | en_US |
dc.subject | Evolutionary algorithm | en_US |
dc.subject | Design optimization | en_US |
dc.title | 경량화를 위한 RBFr 메타모델 기반 A-필러와 패키지 트레이의 소재 선정 최적화 | en_US |
dc.type | Article | en_US |
dc.relation.no | 5 | - |
dc.relation.volume | 21 | - |
dc.identifier.doi | 10.7467/KSAE.2013.21.5.008 | - |
dc.relation.page | 8-14 | - |
dc.relation.journal | 한국자동차공학회 논문집 | - |
dc.contributor.googleauthor | 진성완 | - |
dc.contributor.googleauthor | 박도현 | - |
dc.contributor.googleauthor | 이갑성 | - |
dc.contributor.googleauthor | 김창원 | - |
dc.contributor.googleauthor | 양희원 | - |
dc.contributor.googleauthor | 김대승 | - |
dc.contributor.googleauthor | 최동훈 | - |
dc.relation.code | 2012210715 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | dhchoi | - |
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