Multi Objective Optimization during Turning of AISI 8620 Alloy Steel using Desirability Function Analysis

Quality and productivity plays a significant role in today’s manufacturing industry. In multi objective optimization multiple performance characteristics need to be taken care of in order to avoid severe quality loss and also to ensure highest productivity. In order to tackle such a multi objective optimizaation problem, the present study applied Desirability functional analysis. The study aimed at evaluating optimum process parameters which could simultaneously satisfy the requirement of both quality as well as productivity. Experimentation is carried out using Taguchi’s L9 orthogonal array on CNC lathe with AISI 8620 alloy steel and CVD coated tool combination. The process parameters such as spindle speed, feed and depth of cut are optimized by multi response consideration namely surface roughness and material removal rate. The optimal process parameters have been determined by the composite desirability value obtained from desirability function analysis and the contribution made by each parameters are determined by Analysis of variance (ANOVA). Confirmation test is also conducted to validate the experimentation. From the present study, it is concluded that surface roughness and material removal rate are significantly improved.