Optimization Of Shoulder Milling Process Parameters Of Aa6082t6 Using Taguchi Coupled Grey Relational Analysis

Abstract

The Paper Is Presented To Optimize The Process Parameters Of Vmc Shoulder Milling Of Aa6082 T6 Material For Improvement Of Multi Performance Features By Taguchi Based Grey Relational Analysis (Gra) Method. The Four Main Input Process Parameters I.E., Coolant, Feed Rate, Depth Of Cut And Speed Are Taken Out For The Experimental Study. According To Taguchi L₁₈ Orthogonal Array 18 Experiments Were Performed By Taking Two Values Of Coolant, Three Values For Remaining Three Parameters, Surface Roughness Of Product, Micro Hardness And Material Removal Rate (Mrr) Were Taken As Performance Features For Improvement. Taguchi With Gra Was Applied For Improvement In Multi Performance Features And After That Taguchi Response Table And Analysis Of Variance (Anova) Were Used To Examine The Data. Validation Of Outcomes Was Completed By A Confirmation Test And After That Microstructure Photographs Before And After The Operation Were Captured And Examined.