Optimization of Cutting Parameters of EN9 Steel with Plain Carbide Tool Using Response Surface Methodology

The present work deals with the optimization study on cutting performance of plain carbide inserts in turning of EN9 steel. The design of experiments (DOE) was done using response surface methodology (RSM) technique. The cutting parameters were spindle speed, feed, and depth of cut (DOC). The combined interactions of cutting parameters on crater wear were analyzed. The crater wear was observed using machine vision system. The work concentrated on the building up a mathematical relation between cutting parameters and output responses. Analysis of variance (ANOVA) was used for checking the adequacy of the model. The relation between input factors and the response parameters is determined using a cubic regression model. The optimization was done using desirability ramp plots.