Modeling corrosion performance of the hydroxyapatite coated CoCrMo biomaterial alloys

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dc.authoridCoskun, Mehmet I./0000-0002-8035-556X
dc.contributor.authorCoskun, M. Ibrahim
dc.contributor.authorKarahan, Ismail H.
dc.date.accessioned2024-09-18T20:11:32Z
dc.date.available2024-09-18T20:11:32Z
dc.date.issued2018
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractUsing artificial intelligence (AI) applications such as, Artificial neural network (ANN) and Gene expression programming (GEP) to model corrosion performance of the hydroxyapatite coated metallic biomaterials were performed. Created models were analyzed and compared with a response surface methodology (RSM) study. Electrodeposition parameters of the hydroxyapatite on CoCrMo implant materials were used as independent variables in the modeling study. Corrosion potential, E-corr values calculated from potentiodynamic polarization measurements were used as dependent variable (output data) in AI models. Effect of the deposition parameters on the in vitro corrosion performance of the hydroxyapatite coatings were modeled by ANN and GEP models. ANN models were built with 3 input and 1 output variables using Multilayer Perception Topology. Total 21 electrodeposition and corrosion experiments were used in the ANN and GEP modeling. AI applications were successful for modeling the effect of deposition parameters on the corrosion performance of the hydroxyapatite coatings. Individual effect of the each parameter was investigated statistically. According to the model results predictive capacity and effectiveness of the ANN model is slightly better compared to the GEP and RSM model. (c) 2018 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipScientific Research Commission of Mustafa Kemal University [10640]en_US
dc.description.sponsorshipThis study was supported by Scientific Research Commission of Mustafa Kemal University under Grant no: 10640.en_US
dc.identifier.doi10.1016/j.jallcom.2018.02.253
dc.identifier.endpage848en_US
dc.identifier.issn0925-8388
dc.identifier.issn1873-4669
dc.identifier.scopus2-s2.0-85042653840en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage840en_US
dc.identifier.urihttps://doi.org/10.1016/j.jallcom.2018.02.253
dc.identifier.urihttps://hdl.handle.net/20.500.12483/8929
dc.identifier.volume745en_US
dc.identifier.wosWOS:000429163800102en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Saen_US
dc.relation.ispartofJournal of Alloys and Compoundsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCoating materialsen_US
dc.subjectChemical synthesisen_US
dc.subjectCorrosionen_US
dc.subjectComputer simulationsen_US
dc.titleModeling corrosion performance of the hydroxyapatite coated CoCrMo biomaterial alloysen_US
dc.typeArticleen_US

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