The present work studies the effect of three variables (spindle speed, feed rate, and depth of cut) towards surface roughness by adopting orthogonal design and surrogate model. Experiment in hard turning of AISI 1045 steel with YT5 tool were carried out. The analysis of variance (ANOVA) and the regression model suggest that the feed rate has great effect on the surface roughness compared to the other two variables. The contour plot and the surface plot based on the regression model show the correlation between the response (surface roughness) and all possible pairwise combinations of the three variables. In order to get the desired surface roughness, the optimum cutting parameters are obtained by developing an optimization method.
Surface roughness Orthogonal array Regression model ANOVA Response surface Optimization
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