Application of Genetic Algorithm (GA) for Optimum Design of Module, Shaft Diameter and Bearing for Bevel Gearbox

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dc.contributor.authorMendi, Faruk
dc.contributor.authorBaskal, Tamer
dc.contributor.authorKulekci, Mustafa Kemal
dc.date.accessioned2020-06-25T18:06:46Z
dc.date.available2020-06-25T18:06:46Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.descriptionKulekci, Mustafa Kemal/0000-0002-5829-3489; BASKAL, TAMER/0000-0001-9530-2922
dc.description.abstractIn this study selection of optimum module, shaft diameter and rolling bearing for conical gear has been done using genetic algorithm (GA). GA, is a novel stochastic method of optimization. GAs are based on the principles of natural selection and evolutionary theory. Objective function was optimized for the design variables between determined boundary values. The GA was constrained by taking into account the power, moment, velocity, wall thickness and bearing distances. Tooth strength and surface crush were considered to be design constraints for module optimization. The other algorithm constraints are maximum bending and torsion moments for shaft optimization, and working life for bearing optimization.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.3139/120.110349
dc.identifier.endpage436en_US
dc.identifier.issn0025-5300
dc.identifier.issue6en_US
dc.identifier.startpage431en_US
dc.identifier.urihttps://doi.org/10.3139/120.110349
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5350
dc.identifier.volume54en_US
dc.identifier.wosWOS:000307325000009
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherCarl Hanser Verlagen_US
dc.relation.ispartofMaterials Testing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleApplication of Genetic Algorithm (GA) for Optimum Design of Module, Shaft Diameter and Bearing for Bevel Gearboxen_US
dc.typeArticle

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