Estimation of adhesive wear behavior of the glass fiber reinforced polyester composite materials using ANFIS model

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dc.contributor.authorYilmaz, Serhat
dc.contributor.authorİlhan, Recep
dc.contributor.authorFeyzullahoglu, Erol
dc.date.accessioned2022-08-05T06:28:39Z
dc.date.available2022-08-05T06:28:39Z
dc.date.issued2021en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractGlass fiber reinforced polyester (GFRP) composite materials are widely used in various applications. The prediction of wear values for composite materials is very complex and nonlinear phenomena. Artificial intelligence methods (AI) and expert systems such as artificial neural networks (ANNs) and fuzzy inference systems (FIS) have a series of properties on modeling nonlinear systems. In some situations, ANNs are insufficient under abrupt changes in input variables. Adaptive Neuro Fuzzy Inference System (ANFIS) is capable of integrating the linguistic expressions of FIS with the adaptation and learning skills of the ANNs. The aim of this study is to determine the optimum material content and working conditions in terms of wear resistance. This study proposes an ANFIS sub-clustering based prediction model for estimation of wear behavior of GFRP composites within various concentrations of materials and under diverse loads and speeds. Proposed ANFIS model extracted optimum concentrations and operating parameters to obtain the minimum wear rate. Due to the wear rate estimation model, optimum wear rate value is reached to 25.0013 (mm(3)/Nm)*10(-6) at CaCO3, polystyrene, glass fiber, glass bead, alumina, load and speed values of 49%, 0%, 11%, 10%, 0.8%, 10 N and 100 rpm respectively. A high estimation capability (R-2 = 0.964) has been achieved using ANFIS Model.en_US
dc.identifier.doi10.1177/00952443211020793en_US
dc.identifier.endpage110en_US
dc.identifier.issn0095-2443
dc.identifier.issn1530-8006
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage86en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/2012
dc.identifier.volume54en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorİlhan, Recep
dc.language.isoenen_US
dc.publisherSAGE Publications Ltden_US
dc.relation.ispartofJOURNAL OF ELASTOMERS AND PLASTICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGlass fiber reinforced polyesteren_US
dc.subjectANNsen_US
dc.subjectANFISen_US
dc.subjectadhesive wearen_US
dc.subjectcomposite materialen_US
dc.titleEstimation of adhesive wear behavior of the glass fiber reinforced polyester composite materials using ANFIS modelen_US
dc.typeArticleen_US

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