Optimization of milling process parameters-a review

In this paper, a comprehensive and in-depth review on optimization of different process parameters were carried out using different optimization tools. Milling machine is superior to other machine as regards accuracy and better surface finish. Every manufacturing industry is trying to achieve the high quality products in a very short period of time with less input. In milling machine, there are many process parameters like spindle speed, feed rate, depth of cut, coolant, tool geometry etc. which affected on required quality parameters. So, selections of process parameters are the important for any quality parameters. But, selected process parameters for required quality parameters are not run at optimal condition. So, process parameters are required to be optimizing for required quality parameters. Taguchi methodology is widely used for single optimization. But, sometime multi objective quality parameters are required to be optimized. For multi objective optimization Utility concept, Grey relation analysis, PCA etc. are widely used. ANOVA analysis is also used to determine which parameters are the most significant effect on the selected quality parameters.