Optimization of cryogenic treatment effects on the surface roughness of cutting tools

Küçük Resim Yok

Tarih

2019

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

Künye