Multi – Objective Optimization of Machining Parameters of En36 Steel Using RSM

Abstract

This paper reports on the optimization of turning process on all geared lathe by the effects of machining parameters applying Response Surface Methodology (RSM) to improve the quality of manufactured goods, and engineering development of designs for studying variations. EN36 is used as the work piece material and TNMG insert is used as a tool for carrying out the experimentation to optimize the Temperature, and Surface Roughness. There are three machining parameters i.e. Spindle speed, Feed rate, Depth of cut. Twenty Seven experiments are done by varying all the parameters. Regression equations are generated from RSM. Their functional relationship and effect on different parameters is studied. ANOVA is applied to know which input parameter has most significant effect on temperature and surface roughness. It is observed that as the spindle speed and depth of cut decreases the temperature decreases. The surface roughness is minimum when the spindle speed is high and feed is less. Optimum value of each parameter will be obtained by using Minitab16 Software.