In this study, in different cutting parameters in turning operations, the effects of coated and uncoated cutting tools on main cutting forces generated during chip removal have been investigated experimentally and statistically. In the experiments, as cutting tool type, coated and uncoated cutting tools and as cutting parameters, five different cutting speeds (150, 200, 250, 300, 350 m/min), three different feed rates (0.15, 0.25, 0.35 mm/rev) and two different depth of cut (1,6 and 2,5 mm) values were used. Measured main cutting force values were statistically modelled with the help linear, second order and exponential regression equations. To determine the influence of independent variables on the dependent variables, ANOVA (Analysis of Variance) test was conducted. The most important parameters affecting main cutting forces in all three regression models were feed rate, depth of cut, and cutting tool type. The most appropriate model giving the closest results of the values of main cutting forces obtained from experimental results was found to be the exponential regression model with the highest squared correlation coefficient value as R2 = 97,4.
Key Words: Multiple regression, ANOVA, Cutting tools, Main cutting forces, AISI 1050