Bi-Objective Optimization of MQL Based Turning Process Using NSGA II

Minimum quantity lubrication (MQL) based machining methods are widely used in industry now-a days as they environment friendly and save cutting fluid costs. In the present work to augment the advantages of MQL in turning, a bi-objective optimization of process parameters in MQL turning is presented. The optimum selection of process parameters in turning has a significant role to ensure quality of product, to reduce the machining cost and to increase the productivity. The two conflicting objectives under investigation in this study are material removal rate and surface roughness subjected to the parameter constraints of cutting speed, feed and depth of cut. A non-dominated solution set within the experimental range has been obtained and reported which provides a wide range of trade-off operating conditions. An appropriate operating combination set can be selected by the decision maker based on norm.