Investigation of the effect of cutting parameters on the milling process of cryogenically treated aluminum alloy with cryogenically treated and untreated inserts, using the Taguchi and Gray Relational Analysis methods

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dc.contributor.authorSamtaş, Gürcan
dc.contributor.authorBektaş, Berat Serhat
dc.date.accessioned2023-07-26T11:57:52Z
dc.date.available2023-07-26T11:57:52Z
dc.date.issued2021
dc.departmentDÜ, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.description.abstractThe aluminum 6061 alloy is commonly employed in the automotive industry in the manufacture of rims, panels and even the chasses of vehicles and has excellent machinability. In this study, the surface of the cryogenically processed aluminum 6061-T651 alloy was milled using both untreated and cryogenically treated TiN-TiCN-Al2O3-coated cutting inserts. The Taguchi L18 orthogonal array was chosen as the experimental design. As the cutting parameters in the experiments, two different cutting inserts (untreated and cryogenically treated, TiN-TiCN-Al2O3-coated), three different cutting speeds (250, 350 and 450 m min(-1)) and three different feed rates (0.15, 0.30 and 0.45 mm/rev) were used. After each experiment, the surface roughness and wear values of the cutting inserts were measured, the latter after repeating the experiment five times. Wear and roughness values were optimized using the Taguchi method. Additionally, Gray Relational Analysis (GRA) was used for the combined optimization of wear and roughness values. The optimized findings determined using Taguchi optimization for minimum surface roughness were the cryogenically treated cutting insert, 250 m min(-1) cutting speed and 0.45 mm/rev feed rate. The optimized findings for wear were the cryogenically treated cutting insert, 350 m min(-1) cutting speed and 0.30 mm/rev feed rate. In the optimization with GRA, the common optimum parameters for surface roughness and wear were the cryogenically treated cutting insert, 250 m min(-1) cutting speed and 0.15 mm/rev feed rate. According to the Taguchi and GRA results, the cryogenically treated cutting inserts performed the best in terms of minimum wear and surface roughness. The Gray-based Taguchi methodology proposed in this study was found to be effective in solving the decision-making problem in multi-specific results as wear and surface roughness.en_US
dc.description.sponsorshipDuzce University Research Fund [2019.06.06.910]; Duzce University, Department of Scientific Research Projects, Duzce, Turkeyen_US
dc.description.sponsorshipThis project was supported by the Duzce University Research Fund with the Project No. 2019.06.06.910. The authors would like to thank the Duzce University, Department of Scientific Research Projects, Duzce, Turkey, for financially supporting this research.en_US
dc.identifier.doi10.1088/2051-672X/ac41fe
dc.identifier.issn2051-672X
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85122493436en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1088/2051-672X/ac41fe
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13331
dc.identifier.volume9en_US
dc.identifier.wosWOS:000731165800001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSamtaş, Gürcan
dc.institutionauthorBektaş, Berat Serhat
dc.language.isoenen_US
dc.publisherIop Publishing Ltden_US
dc.relation.ispartofSurface Topography-Metrology and Propertiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectAa 6061; Milling; Taguchi Method; Gra; Flank Wear; Surface Roughnessen_US
dc.subjectSurface-Roughness; Machining Parameters; Inconel 718; Optimization; Performance; Machinability; Toolsen_US
dc.titleInvestigation of the effect of cutting parameters on the milling process of cryogenically treated aluminum alloy with cryogenically treated and untreated inserts, using the Taguchi and Gray Relational Analysis methodsen_US
dc.typeArticleen_US

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