Selection of optimal machining conditions for the composite materials by using Taguchi and GONNs

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dc.contributor.authorErkan, Ömer
dc.contributor.authorDemetgül, Mustafa
dc.contributor.authorIşık, Birhan
dc.contributor.authorTansel, İbrahim Nur
dc.date.accessioned2020-04-30T23:31:49Z
dc.date.available2020-04-30T23:31:49Z
dc.date.issued2014
dc.departmentDÜ, Teknik Eğitim Fakültesi, Makine Eğitimi Bölümüen_US
dc.descriptionERKAN, Omer/0000-0002-9428-4299en_US
dc.descriptionWOS: 000329207400034en_US
dc.description.abstractMilling has been widely used in industry for machining parts to their final dimensions without requiring additional operations. Extensive experimental work is necessary to determine the optimal cutting conditions of glass-fiber reinforced polymer composite (GFRP) materials to achieve the desired surface quality. In this study, a series of machining operations were done for data collection by varying the flute number, feed rate, depth of cut and cutting speed. The relationship between the cutting parameters of end milling operations and the surface roughness of the machined surface was studied. For the analysis of the data and selection of the optimal cutting parameters the Taguchi method and genetically optimized neural network systems (GONNs) were used. Published by Elsevier Ltd.en_US
dc.identifier.doi10.1016/j.measurement.2013.11.011en_US
dc.identifier.endpage313en_US
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage306en_US
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2013.11.011
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4487
dc.identifier.volume48en_US
dc.identifier.wosWOS:000329207400034en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMeasurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGFRPen_US
dc.subjectMillingen_US
dc.subjectNeural networken_US
dc.subjectGenetic algorithmen_US
dc.subjectGONNsen_US
dc.titleSelection of optimal machining conditions for the composite materials by using Taguchi and GONNsen_US
dc.typeArticleen_US

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