Prediction of MRR for VMC Five Axis Machining of D3 Steel Using Desirability Function Approach

Abstract

The optimum selection of machining parameters plays a important role to achieve the desired performance of the machining process at a low cost within short time. Aim of the present research investigation is to develop a mathematical model for predicting material removal rate (MRR) in terms of speed, feed and depth of cut. Experiment are conducted on D3 tool steel material in VMC five axis operation based on the full factorial design. A second order mathematical model in terms of machining parameters and MRR is developed by response surface methodology (RSM). Analysis of variance (ANOVA) technique is utilized to determine the significant process parameters which expected to influence MRR. Contour plots are developed by RSM approach from the mathematical model to study the interaction effects of machining parameters on MRR. Desirability function approach has been applied to solve the mathematical model of MRR to maximize it.