Power Prediction Model for Milling 618 Stainless Steel Using Response Surface Methodology

Abstract

This study discussed the development of the first and second order power prediction model for milling 618 stainless steel with coated carbides cutting tool. The first and second order model has been developed by using response surface methodology with 4 factors. The surface methodology has been analysis by using statistical software Minitab. From the model the equation that relates the factors (cutting speed, feed rate, axial depth and radial depth) with the response (power) can be developed. Beside the relationship, the effect of the factors can be investigated from the equation develop. From the equation develop; the contour plot can be generated to predict the power at any zone of experimental zone. The model generated show that the power increases when cutting speed, feed rate, axial depth and radial depth are increased. The second-order is more accurate compare with the first order.