Fatigue life modeling of gear like products using ANN

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dc.authoridAYER, ONDER/0000-0001-8970-145X
dc.authoridAYER, ONDER/0000-0001-8970-145X
dc.authorwosidBingöl, Sedat/GSE-0879-2022
dc.authorwosidAYER, ONDER/HGD-5388-2022
dc.authorwosidAYER, ONDER/ABA-3901-2020
dc.contributor.authorAyer, Onder
dc.contributor.authorBingol, Sedat
dc.contributor.authorAltinbalik, Tahir
dc.contributor.authorKilicgedik, Hidir Yanki
dc.date.accessioned2024-06-12T11:01:48Z
dc.date.available2024-06-12T11:01:48Z
dc.date.issued2016
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThe expected life of a gear is important parameter especially for the gears to secure of the mechanics of it. Related to this importance, fatigue failure is one of the most seen failures occurred on gears working under cyclic loads. It is not possible to eliminate fatigue failure effects but it is possible to reduce by appropriate materials selection and design criteria. Due to demand for gears with higher load-carrying capacity and increased fatigue life, it is important to determine the fatigue strengths of the gears. hi this study, forward extrusion method with cosine and tapered profile dies is carried out to obtain gear-like products. The products are then tested under cyclic loads to determine the fatigue life. The results obtained from the experiments are used as inputs in developing the ANN models. Different ANN models are developed for cosine curved and straight tapered profiles to obtain the best models. A comparative analysis is performed in order to evaluate the accuracy of the developed models, in terms of statistical measurements (R-2, MSE, MAE). Results revealed that proposed ANN models for both cosine curved and tapered profiles are able to predict the fatigue life of the gear-like profiles.en_US
dc.identifier.endpage246en_US
dc.identifier.issn0971-4588
dc.identifier.issn0975-1017
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85012131873en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage239en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21027
dc.identifier.volume23en_US
dc.identifier.wosWOS:000400805700004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherNatl Inst Science Communication-Niscairen_US
dc.relation.ispartofIndian Journal Of Engineering And Materials Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFatigueen_US
dc.subjectGear Formingen_US
dc.subjectANNen_US
dc.subjectExtrusionen_US
dc.subjectArtificial Neural-Networken_US
dc.subjectStress-Strain Curveen_US
dc.subjectSpur Gearsen_US
dc.subjectBending Fatigueen_US
dc.subjectAluminum-Alloyen_US
dc.subjectMaximum Filleten_US
dc.subjectTitanium-Alloyen_US
dc.subjectContact Ratioen_US
dc.subjectFlow-Stressen_US
dc.subjectPredictionen_US
dc.titleFatigue life modeling of gear like products using ANNen_US
dc.typeArticleen_US

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