Optimization of cryogenic treatment effects on the surface roughness of cutting tools
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Carl Hanser Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, surface roughness tests were performed on AISI 02 cold work tool steel using coated and uncoated carbide cutting tools applying deep cryogenic treatment. Cutting parameters with optimum surface roughness for turning cold work tool steel were determined by the Taguchi method Turning experiments were made according to the Taguchi L-16 (43) orthogonal array. The evaluation of the experimental results was based on the signal/noise (S/N) ratio. Cutting parameters were selected for four different cutting tools, cutting speeds (150, 200, 250, 300 m x min(-1)) and feed rates (0.08, 0.16, 0.24, 0.32 mm x rev(-1)). The effect levels on the surface roughness of the cutting parameters by analysis of variance (ANOVA) were performed using the experimental results. Multiple regression analyses (linear) was conducted for the experimental results. The correlation coefficient (R-2) was obtained via the linear regression model which showed a value of 0.914 for Ra. Finally, confirmation tests were performed and showed that optimization was successfully implemented.
Açıklama
WOS: 000500588200012
Anahtar Kelimeler
Hot work steel, flank wear, regression analysis, surface roughness, Taguchi method
Kaynak
Materials Testing
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
61
Sayı
11