Abrasive wear model for Al2O3 particle reinforced MMCs using Genetic Expression Programming

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dc.authorscopusid8325310700
dc.authorscopusid13613326500
dc.contributor.authorKök, Metin
dc.contributor.authorKanca, Erdogan
dc.date.accessioned2024-09-19T15:48:30Z
dc.date.available2024-09-19T15:48:30Z
dc.date.issued2010
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractIn this investigation, a new model was developed to predict the wear rate of Al2O3 particle-reinforced aluminum alloy composites by Genetic Expression Programming (GEP). The training and testing data sets were obtained from the well established abrasive wear test results. The volume fraction of particle, particle size of reinforcement, abrasive grain size and sliding distance were used as independent input variables, while wear rate (WR) as dependent output variable. Different models for wear rate were predicted on the basis of training data set using genetic programming and accuracy of the best model was proved with testing data set. The two-body abrasive wear tests of the specimens was performed using a pin-on-disc abrasion test apparatus where the sample slid against different SiC abrasives under the loads of 2N at the room conditions. The test results showed that GEP model has produced correlation coefficient (R) values about 0.988 for the training data and 0.987 for the test data. The predicted wear rate results were compared with experimental results and found to be in good agreement with the experimentally observed ones. Copyright © 2010 Tech Science Press.en_US
dc.identifier.endpage235en_US
dc.identifier.issn1546-2226
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-79952036295en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage213en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/15108
dc.identifier.volume18en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofComputers, Materials and Continuaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic Expression Programmingen_US
dc.subjectMetal matrix compositesen_US
dc.subjectSliding wearen_US
dc.subjectTwo-body abrasionen_US
dc.subjectWear modelingen_US
dc.titleAbrasive wear model for Al2O3 particle reinforced MMCs using Genetic Expression Programmingen_US
dc.typeArticleen_US

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