Multi-Response Optimization of Machining Parameters On Phenolic Bakelite Hgw 2088 using Desirability Function Approach

The present investigation is, to determine the optimum parameter conditions in CNC turning process of Phenolic Bakelite HGW 2088 rod with multi response characteristics using Taguchi combined desirability function approach (DFA). The cutting speed (V), feed rate (F) and depth of cut (D) are the essential key process parameters that seriously affect the machining performance characteristics such as material removal rates (MRR) and surface roughness (SR). The experimental work was planned as per Taguchi's L9 orthogonal array design of experiments. A Taguchi combined desirability function analysis was employed to find out the optimum level of turning parameters with an objective to maximize the MRR and minimize the SR. Analysis of variance (ANOVA) was used to determine the significant effect of each process parameter on the multiple response characteristics. Experimental result shows that feed rate was the most influential parameter followed by depth of cut. The multiple response characteristics were improved drastically at the optimal level conditions as verified by the confirmation experiment