Optimizing tribological performance in elevated temperature of TiC reinforced A356 matrix composites designed as automotive friction materials using dragonfly algorithm

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dc.authoridsimsek, dogan/0000-0002-5509-9314
dc.contributor.authorSimsek, Dogan
dc.contributor.authorOzyurek, Dursun
dc.contributor.authorIleri, Erol
dc.contributor.authorKaraoglan, Aslan Deniz
dc.date.accessioned2024-09-29T16:05:01Z
dc.date.available2024-09-29T16:05:01Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe objective of this study designed in three steps is to evaluate the optimization of tribological performance in the elevated temperature of TiC reinforced A356 matrix composites, produced by mechanical alloying (MA), using the dragonfly algorithm (DA). In the first step, an experimental design is created to formulate the problem as an optimization problem with the help of regression modeling, and wear tests by adding a temperature module according to ASTM G99-05 standards are performed at various reinforced rates, operating temperatures, and loads. In the second step, regression models are fitted to the experimental results. In the third step, the dragonfly algorithm (DA) - one of the recent nature inspired metaheuristic optimization algorithms - has been adapted to optimize the formulated problem. The results of DA indicate that the optimum factor levels for the reinforced rate, operating temperature, and load are determined as 7%, 10 degrees C, and 20 N respectively to optimize the responses, namely weight loss, wear rate, and friction coefficient.en_US
dc.identifier.doi10.1177/09544062221123999
dc.identifier.endpage984en_US
dc.identifier.issn0954-4062
dc.identifier.issn2041-2983
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85139060152en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage973en_US
dc.identifier.urihttps://doi.org/10.1177/09544062221123999
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6454
dc.identifier.volume237en_US
dc.identifier.wosWOS:000860131700001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompositesen_US
dc.subjectelevated temperatureen_US
dc.subjectTiCen_US
dc.subjectoptimizationen_US
dc.subjectdragonfly algorithmen_US
dc.titleOptimizing tribological performance in elevated temperature of TiC reinforced A356 matrix composites designed as automotive friction materials using dragonfly algorithmen_US
dc.typeArticleen_US

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