Kara, FuatTakmaz, Aysun2020-04-302020-04-3020190025-5300https://doi.org/10.3139/120.111427https://hdl.handle.net/20.500.12684/3978WOS: 000500588200012In 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.en10.3139/120.111427info:eu-repo/semantics/closedAccessHot work steelflank wearregression analysissurface roughnessTaguchi methodArticle611111011104WOS:000500588200012Q4