Application of Central Composite Design for Optimization of Two-Stage Forming Process Using Ultra-thin Ferritic Stainless Steel
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bong, Hyuk Jong | - |
dc.contributor.author | Barlat, Frederic | - |
dc.contributor.author | Lee, Jinwoo | - |
dc.contributor.author | Lee, Myoung-Gyu | - |
dc.contributor.author | Kim, Jong Hee | - |
dc.date.accessioned | 2021-09-04T02:03:40Z | - |
dc.date.available | 2021-09-04T02:03:40Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-03 | - |
dc.identifier.issn | 1598-9623 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/89309 | - |
dc.description.abstract | Two-stage forming process for manufacturing micro-channels of bipolar plate as a component of a proton exchange membrane fuel cell was optimized. The sheet materials were ultra-thin ferritic stainless steel (FSS) sheets with thicknesses of 0.1 and 0.075 mm. For the successful micro-channel forming in the two-stage forming approach, three process variables during the first stage were selected: punch radius, die radius, and forming depth. In this study, the effect of the three process variables on the formability of ultra-thin FSSs was investigated by finite element (FE) simulations, experiments, and central composite design (CCD) method. The optimum forming process designed by the CCD showed good agreement with those by experiments and FE simulations. The newly adopted optimization tool, CCD, was found to be very useful for optimization of process parameters in the multi-step sheet metal forming processes. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | KOREAN INST METALS MATERIALS | - |
dc.subject | RESPONSE-SURFACE METHODOLOGY | - |
dc.subject | NEURAL-NETWORK | - |
dc.subject | MULTISTAGE | - |
dc.subject | PARAMETERS | - |
dc.subject | RESISTANCE | - |
dc.subject | RATIO | - |
dc.title | Application of Central Composite Design for Optimization of Two-Stage Forming Process Using Ultra-thin Ferritic Stainless Steel | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Myoung-Gyu | - |
dc.identifier.doi | 10.1007/s12540-015-4325-x | - |
dc.identifier.scopusid | 2-s2.0-84961112281 | - |
dc.identifier.wosid | 000371651300016 | - |
dc.identifier.bibliographicCitation | METALS AND MATERIALS INTERNATIONAL, v.22, no.2, pp.276 - 287 | - |
dc.relation.isPartOf | METALS AND MATERIALS INTERNATIONAL | - |
dc.citation.title | METALS AND MATERIALS INTERNATIONAL | - |
dc.citation.volume | 22 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 276 | - |
dc.citation.endPage | 287 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002084797 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Metallurgy & Metallurgical Engineering | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Metallurgy & Metallurgical Engineering | - |
dc.subject.keywordPlus | RESPONSE-SURFACE METHODOLOGY | - |
dc.subject.keywordPlus | NEURAL-NETWORK | - |
dc.subject.keywordPlus | MULTISTAGE | - |
dc.subject.keywordPlus | PARAMETERS | - |
dc.subject.keywordPlus | RESISTANCE | - |
dc.subject.keywordPlus | RATIO | - |
dc.subject.keywordAuthor | metals | - |
dc.subject.keywordAuthor | deformation | - |
dc.subject.keywordAuthor | fracture | - |
dc.subject.keywordAuthor | finite element method | - |
dc.subject.keywordAuthor | response surface methodology | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.