Statistical analysis of surface roughness in turning process

Abstract

In this study, for the turning of AISI 1040 steel that has cylindrical shape and hardened up to 46 HRc, Taguchi L-16 experimental design was created according to the parameters of cutting speed, feed rate and cutting depth which consist from four levels. Formed in result of turning, the total surface roughness (Rt) were measured. Regression models have been built Taguchi analyzes were carried out utilizing by MINITAB 14 Program for measured values of Rt The closest results of the test results, generated for the Rt regression model, were obtained with 99.8% specify coefficients in order second degrees regression model Signal/Noise (S/N) ratios were determined in design of the Taguchi. In ANOVA analysis, it was obtained as an effect of the 95% confidence level on Rt values in order feed rate. cutting depth and cutting speed. The result of the regression model and Taguchi analysis was determined as feed rate to be the optimum parameter for Rt values.