Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/5869
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKarakaş, Özler-
dc.date.accessioned2019-08-16T12:03:02Z
dc.date.available2019-08-16T12:03:02Z
dc.date.issued2011-
dc.identifier.issn0933-5137-
dc.identifier.urihttps://hdl.handle.net/11499/5869-
dc.identifier.urihttps://doi.org/10.1002/mawe.201100848-
dc.description.abstractThe aim of this investigation was determining the fatigue behaviour of welded aluminium joints and so the appertaining SN-lines by application of Artificial Neural Network (ANN) architectures. For this, fatigue data obtained with aluminium welded joints subjected to constant amplitude loading were used. The main benefit of ANN is the good description of the effects of different factors on fatigue life. The results determined by the ANN method for four aluminium alloys are displayed in scatter bands of SN-lines. It is observed that the trained results are in good agreement with the tested data and enable the estimation of SN-lines. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.en_US
dc.language.isoenen_US
dc.relation.ispartofMaterialwissenschaft und Werkstofftechniken_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAluminium alloysen_US
dc.subjectartificial neural networksen_US
dc.subjectSN-linesen_US
dc.subjectwelded jointsen_US
dc.subjectAluminium welded jointsen_US
dc.subjectArtificial Neural Networken_US
dc.subjectConstant amplitude loadingen_US
dc.subjectFatigue behaviouren_US
dc.subjectFatigue dataen_US
dc.subjectScatter banden_US
dc.subjectTested dataen_US
dc.subjectAluminumen_US
dc.subjectAluminum alloysen_US
dc.subjectFatigue of materialsen_US
dc.subjectTin alloysen_US
dc.subjectWeldingen_US
dc.subjectWeldsen_US
dc.subjectNeural networksen_US
dc.titleEstimation of fatigue life for aluminium welded joints with the application of artificial neural networksen_US
dc.typeArticleen_US
dc.identifier.volume42en_US
dc.identifier.issue10en_US
dc.identifier.startpage888
dc.identifier.startpage888en_US
dc.identifier.endpage893en_US
dc.authorid0000-0002-6648-7865-
dc.identifier.doi10.1002/mawe.201100848-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-80054990792en_US
dc.identifier.wosWOS:000296906100007en_US
dc.identifier.scopusqualityQ2-
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

15
checked on Jun 29, 2024

WEB OF SCIENCETM
Citations

14
checked on Jul 17, 2024

Page view(s)

34
checked on May 27, 2024

Google ScholarTM

Check




Altmetric


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