Multi-Criteria optimization of surface roughness in wire EDM of Inconel 718 by Taguchi based gray relational analysis method
Yükleniyor...
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pamukkale Univ
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, the effect of machining parameters on Ra (average surface roughness), Rq (quadratic average roughness) and Rz (maximum roughness) values were measured on the material cut surface as a result of machining Inconel 718 (IN718) superalloy on a CNC wire erosion machine were investigated. As the processing parameters; voltage, wire feed rate and dielectric fluid pressure were determined. In the experiments, pure water was used as the dielectric fluid and 0.3 mm brass wire was used as the wire. The aim of the study is to determine the optimum values of the cutting parameters in order to obtain the lowest Ra, Rq and Rz values. Gray Relational Analysis (GRA), which is one of the multi-criteria decision-making methods, has been applied for the optimization of the machining parameters in the cutting process with the wire erosion machine. The experiments and the levels of the parameters used were designed and optimized according to the Taguchi L-9 (3(3)) orthogonal array. Analysis of Variance (ANOVA) was used to determine the effect percentages of the cut-off parameters. The parameter with the highest effect was determined as voltage with a ratio of 79.18% for Ra, 84.05% for Rq, and 89.25% for Rz. The lowest Ra, Rq and Rz values were obtained as 0.123 mu m, 0.178 mu m and 0.740 mu m, respectively.
Açıklama
Anahtar Kelimeler
Inconel 718, WEDM, Surface Roughness, Taguchi Method, Grey Relational Analysis
Kaynak
Pamukkale University Journal of Engineering Sciences-Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
28
Sayı
4
Künye
Altın Karataş, M. Multi-Criteria optimization of surface roughness in wire EDM of Inconel 718 by Taguchi based gray relational analysis method. Pamukkale University Journal of Engineering Sciences, 28(4), 516-532.
