Optimization of process parameters for micro milling of Ti-6Al-4V alloy using Taguchi-based gray relational analysis

Basit Öğe Kaydı
dc.authoridCicek, Adem/0000-0002-9510-3242
dc.authoridAslantas, Kubilay/0000-0003-4558-4516
dc.contributor.authorAslantas, K.
dc.contributor.authorEkici, E.
dc.contributor.authorCicek, A.
dc.date.accessioned2025-01-27T20:17:03Z
dc.date.available2025-01-27T20:17:03Z
dc.date.issued2018
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIn this study, the effects of the cutting parameters on the surface quality and burr width were investigated in the micro milling of Ti-6Al-4V alloy. Spindle speed, feed per tooth and depth of cut are selected as the control factors. Taguchi-based gray relational analysis was used in the optimization of the cutting parameters for minimal burr width (for up and down milling operations) and surface roughness (Ra). The contribution percentages of the control factors were determined by using analysis of variance (ANOVA). According to the obtained results, it was determined that the feed rate value for the best surface quality was 0.25 mu m/tooth. At lower feed rate values, ploughing takes place and the surface quality deteriorates. On the other hand, it was found that it is more appropriate to use values a(p) of 0.1mm and n of 10,000 rev/min to produce minimal Ra. The burr width on the down milling side is higher than that on the up milling side. A lower feed rate and greater depth of cut lead to an increase in burr width. In addition, higher spindle speeds increased the burr width due to rapid tool wear.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK); Support Program for Scientific and Technological Research Projects-1001 [213M572]
dc.description.sponsorshipThis work was supported by grants from the Scientific and Technological Research Council of Turkey (TUBITAK) and the Support Program for Scientific and Technological Research Projects-1001, Project No: 213M572.
dc.identifier.doi10.1016/j.measurement.2018.06.066
dc.identifier.endpage427
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopus2-s2.0-85049484096
dc.identifier.scopusqualityQ1
dc.identifier.startpage419
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2018.06.066
dc.identifier.urihttps://hdl.handle.net/20.500.12428/21475
dc.identifier.volume128
dc.identifier.wosWOS:000440449800043
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofMeasurement
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectMicro milling
dc.subjectSurface roughness
dc.subjectBurr formation
dc.subjectGray relational analysis
dc.titleOptimization of process parameters for micro milling of Ti-6Al-4V alloy using Taguchi-based gray relational analysis
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu