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Evaluation of Fatigue Characteristics of Aluminum Alloys and Mechanical Components Using Extreme Value Statistics and C-Specimens

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dc.contributor.authorLee, Jungsub-
dc.contributor.authorPark, Sang-Youn-
dc.contributor.authorChoi, Byoung-Ho-
dc.date.accessioned2022-02-23T21:40:17Z-
dc.date.available2022-02-23T21:40:17Z-
dc.date.created2022-02-15-
dc.date.issued2021-12-
dc.identifier.issn2075-4701-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/136664-
dc.description.abstractIn this study, the fatigue characteristics of aluminum alloys and mechanical components were investigated. To evaluate the effect of forging, fatigue specimens with the same chemical compositions were prepared from billets and forged mechanical components. To evaluate the cleanliness of the aluminum alloys, the cross-sectional area of specimens was observed, and the maximum inclusion sizes were obtained using extreme value statistics. Rotary bending fatigue tests were performed, and the fracture surfaces of the specimens were analyzed. The results show that the forging process not only elevated the fatigue strength but also reduced the scatter of the fatigue life of aluminum alloys. The fatigue characteristics of C-specimens were obtained to develop finite-element method (FEM) models. With the intrinsic fatigue properties and strain-life approach, the FEM analysis results agreed well with the test results.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectLIMIT-
dc.subjectPREDICTION-
dc.subjectBEHAVIOR-
dc.titleEvaluation of Fatigue Characteristics of Aluminum Alloys and Mechanical Components Using Extreme Value Statistics and C-Specimens-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Byoung-Ho-
dc.identifier.doi10.3390/met11121915-
dc.identifier.scopusid2-s2.0-85119978516-
dc.identifier.wosid000736603100001-
dc.identifier.bibliographicCitationMETALS, v.11, no.12-
dc.relation.isPartOfMETALS-
dc.citation.titleMETALS-
dc.citation.volume11-
dc.citation.number12-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaMetallurgy & Metallurgical Engineering-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMetallurgy & Metallurgical Engineering-
dc.subject.keywordPlusBEHAVIOR-
dc.subject.keywordPlusLIMIT-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordAuthorextreme value statistics-
dc.subject.keywordAuthorfatigue-
dc.subject.keywordAuthorfinite-element method analysis-
dc.subject.keywordAuthorforging-
dc.subject.keywordAuthorwrought aluminum-
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