Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/30040
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKalaycı, Can B.-
dc.contributor.authorKaragöz, Sevcan-
dc.contributor.authorKarakaş, Özler-
dc.date.accessioned2020-06-08T12:11:00Z
dc.date.available2020-06-08T12:11:00Z
dc.date.issued2019-
dc.identifier.issn0142-1123-
dc.identifier.urihttps://hdl.handle.net/11499/30040-
dc.identifier.urihttps://doi.org/10.1016/j.ijfatigue.2019.05.032-
dc.description.abstractThe fatigue life of magnesium alloy is influenced by many factors such as stress concentration factor, stress ratio and stress amplitude as well as different material states. Since all these factors affect the fatigue life of the alloy, the effects of these parameters need to be investigated. This study aims to obtain fatigue life values with satisfactory results on the samples of magnesium alloy AZ31. In order to solve the problem, firstly an exponential-trigonometric function model is constructed. Secondly, an artificial bee colony algorithm is used to optimize the weights of this function. Sample data of the alloy is used to verify the correctness of the fatigue life estimation model. The estimated results are compared with the results of experimental studies. Simulation results show that the fatigue life prediction model proposed in this paper can fit the experimental Wöhler lines with high estimation accuracy. The model based on artificial bee colony is a good candidate to estimate the fatigue life of magnesium alloy. © 2019 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial bee colonyen_US
dc.subjectFatigue lifeen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectMagnesium alloyen_US
dc.subjectMagnesium alloysen_US
dc.subjectOptimizationen_US
dc.subjectStress concentrationen_US
dc.subjectArtificial bee coloniesen_US
dc.subjectArtificial bee colony algorithmsen_US
dc.subjectFatigue life estimationen_US
dc.subjectFatigue life prediction modelsen_US
dc.subjectMagnesium alloy AZ31en_US
dc.subjectStress amplitudesen_US
dc.subjectStress concentration factorsen_US
dc.subjectTrigonometric function modelsen_US
dc.subjectFatigue of materialsen_US
dc.titleBee colony intelligence in fatigue life estimation of simulated magnesium alloy weldsen_US
dc.typeArticleen_US
dc.identifier.volume127en_US
dc.identifier.startpage36
dc.identifier.startpage36en_US
dc.identifier.endpage44en_US
dc.identifier.doi10.1016/j.ijfatigue.2019.05.032-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85066474093en_US
dc.identifier.wosWOS:000482492600005en_US
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale University-
item.languageiso639-1en-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept10.07. Mechanical Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

16
checked on Jun 29, 2024

WEB OF SCIENCETM
Citations

15
checked on Jul 10, 2024

Page view(s)

32
checked on May 27, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.