Cited 9 time in
Practical approach for determining material parameters when predicting grain size after static recrystallization
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Razali, Mohd Kaswandee | - |
| dc.contributor.author | Abd Ghawi, Afaf Amera | - |
| dc.contributor.author | Irani, M. | - |
| dc.contributor.author | Chung, S.H. | - |
| dc.contributor.author | Choi, J.M. | - |
| dc.contributor.author | Joun, Man Soo | - |
| dc.date.accessioned | 2023-03-24T08:47:51Z | - |
| dc.date.available | 2023-03-24T08:47:51Z | - |
| dc.date.issued | 2023-03 | - |
| dc.identifier.issn | 2238-7854 | - |
| dc.identifier.issn | 2214-0697 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/30165 | - |
| dc.description.abstract | The static recrystallization (SRX) behavior of 42CrMo steel was investigated by a non-isothermal hot compression test. The conventional empirical equation for SRX was applied to a finite element (FE) simulator using a nonconventional manner of parameter characterization. Parameter characterization was conducted by applying the FE-coupled optimization method to cylinder compression, which is an axisymmetric upsetting process. An accurate and practical flow stress model was used to precisely determine the critical strain value and define the instant when SRX occurred. The results revealed that the microstructural evolution during SRX was substantially influenced by temperature, strain rate, degree of deformation, and initial austenite grain size. The predicted recrystallized SRX grain sizes exhibited good agreement with the measured values when the model's parameters for the calculation of grain size were obtained using a FE-coupled optimization scheme. © 2023 The Author(s) | - |
| dc.format.extent | 14 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier Editora Ltda | - |
| dc.title | Practical approach for determining material parameters when predicting grain size after static recrystallization | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.jmrt.2023.02.054 | - |
| dc.identifier.scopusid | 2-s2.0-85149809615 | - |
| dc.identifier.wosid | 000963488200001 | - |
| dc.identifier.bibliographicCitation | Journal of Materials Research and Technology, v.23, pp 3928 - 3941 | - |
| dc.citation.title | Journal of Materials Research and Technology | - |
| dc.citation.volume | 23 | - |
| dc.citation.startPage | 3928 | - |
| dc.citation.endPage | 3941 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| 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 | TEMPERATURE FLOW BEHAVIOR | - |
| dc.subject.keywordPlus | DYNAMIC RECRYSTALLIZATION | - |
| dc.subject.keywordPlus | MICROSTRUCTURAL EVOLUTION | - |
| dc.subject.keywordPlus | HOT DEFORMATION | - |
| dc.subject.keywordPlus | ALLOY | - |
| dc.subject.keywordPlus | STEEL | - |
| dc.subject.keywordPlus | KINETICS | - |
| dc.subject.keywordPlus | STRESS | - |
| dc.subject.keywordAuthor | 42CrMo steel | - |
| dc.subject.keywordAuthor | FE-Coupled optimization | - |
| dc.subject.keywordAuthor | Microstructural evolution | - |
| dc.subject.keywordAuthor | Parameter characterization | - |
| dc.subject.keywordAuthor | SRX grain sizes | - |
| dc.subject.keywordAuthor | Static recrystallization (SRX) | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. 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.
