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  • ArticleYalnız künye2014
    Experimental design and artificial neural network model for turning the 50CrV4 (SAE 6150) alloy using coated carbide/Cermet cutting tools

    Ozkan, Murat Tolga; Ulas, Hasan Basri; Bilgin, Musa

    In this experimental study, the 50CrV4 (SAE 6150) steel was subjected to the machining tests with coated carbide and cermet cutting tools in a turning operation. The tests were carried out at various cutting speeds, feed rates and cutting depths. In the light of these parameters, cutting forces and surface-roughness values were determined. Three components (Fa, Fr and Fc) of the cutting forces were measured during the tests using a dynamometer, while the machined surface-roughness values were determined using a surface roughness measuring unit. A multiple regression analysis and experimental design were performed statistically. The measured surface-roughness values were used for the modeling with an artificial neural network system (ANNS). The relations between the cutting forces and the surface-roughness values were also defined.

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creativeworkseries.issn1580-2949
creativeworkseries.issn1580-3414
dc.date.accessioned2026-10-20T15:42:56.126493228Z
dc.date.available2026-10-20T15:42:56.126493228Z
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/24968
dc.publisherInstitute of Metals Technology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleMateriali in Tehnologije
dspace.entity.typeJournal