Modelling surface roughness in WEDM process using ANFIS method

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dc.contributor.authorAldaş, Kemal
dc.contributor.authorÖzkul, İskender
dc.contributor.authorAkkurt, Adnan
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T08:22:34Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T08:22:34Z
dc.date.issued2014
dc.departmentMühendislik Fakültesi
dc.description.abstractIn this study, adaptive neuro-fuzzy inference system (ANFIS) modelling was used for estimation surface roughness based on experimental study of after processing with wire electrical discharge machining (WEDM) in Dievar hot work tool steel. Feed rate (fr), current (C), and pulse on time (POn) as independent variables were carried out in experimental study and modelling. Two different membership functions and different estimation types were conducted. The model based plots showed the machining parameters effects on the surface roughness and Gaussian membership function type performed better results than Bell-shaped membership function.
dc.identifier.endpage558en_US
dc.identifier.issn1310-4772
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ4
dc.identifier.startpage548en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2592
dc.identifier.volume20en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherScibulcom Ltd.
dc.relation.ispartofJournal of the Balkan Tribological Association
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectANFIS
dc.subjectRoughness
dc.subjectTool steel
dc.subjectWEDM
dc.titleModelling surface roughness in WEDM process using ANFIS method
dc.typeArticle

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