Optimization of Hot Turning Parameters by using Taguchi based Grey Relation Analysis

This paper investigates the multi response optimization of machining parameters in hot turning of Inconel 718 based on Taguchi based grey relational analysis technique. Cutting parameters such as cutting speed, feed rate, depth of cut and temperature of workpiece were taken as process parameters where as surface roughness, tool wear and material removal rate (MRR) were considered as performance characteristics for the present study. From the Taguchi based grey relational, an optimum level of cutting parameters has been identified. Furthermore, analysis of variance (ANOVA) has been carried out and identified that feed rate is the dominant process parameter on multiple performance characteristics.