Comparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steel

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dc.contributor.authorKara, Fuat
dc.contributor.authorÖztürk, Burak
dc.date.accessioned2020-04-30T22:41:12Z
dc.date.available2020-04-30T22:41:12Z
dc.date.issued2019
dc.departmentDÜ, Teknoloji Fakültesi, Makine ve İmalat Mühendisliği Bölümüen_US
dc.descriptionWOS: 000456513000004en_US
dc.description.abstractPurpose This paper aims to examine the performance of the machining parameters used in the hard-turning process of DIN 1.2738 mold steel and identify the optimum machining conditions. Design/methodology/approach Experiments were carried out via the Taguchi L18 orthogonal array. The evaluation of the experimental results was based on the signal/noise ratio. The effect levels of the control factors on the surface roughness and flank wear were specified with analysis of variance performed. Two different multiple regression analyses (linear and quadratic) were conducted for the experimental results. A higher correlation coefficient (R-2) was obtained with the quadratic regression model, which showed values of 0.97 and 0.95 for Ra and Vb, respectively. Findings The experimental results indicated that generally better results were obtained with the TiAlN-coated tools, in respect to both surface roughness and flank wear. The Taguchi analysis found the optimum results for surface roughness to be with the cutting tools of coated carbide using physical vapor deposition (PVD), a cutting speed of 160 m/min and a feed rate of 0.1 mm/rev, and for flank wear, with cutting tools of coated carbide using PVD, a cutting speed of 80 m/min and a feed rate of 0.1 mm/rev. The results of calculations and confirmation tests for Ra were 0.595 and 0.570 mu m, respectively, and for the Vb, 0.0244 and 0.0256 mm, respectively. Developed quadratic regression models demonstrated a very good relationship. Originality/value Optimal parameters for both Ra and Vb were obtained with the TiAlN-coated tool using PVD. Finally, confirmation tests were performed and showed that the optimization had been successfully implemented.en_US
dc.identifier.doi10.1108/SR-12-2017-0266en_US
dc.identifier.endpage33en_US
dc.identifier.issn0260-2288
dc.identifier.issn1758-6828
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage24en_US
dc.identifier.urihttps://doi.org/10.1108/SR-12-2017-0266
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3143
dc.identifier.volume39en_US
dc.identifier.wosWOS:000456513000004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofSensor Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSurface roughnessen_US
dc.subjectTaguchi methoden_US
dc.subjectFlank wearen_US
dc.subjectHard machiningen_US
dc.titleComparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steelen_US
dc.typeArticleen_US

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