Multiobjective Optimization of End Milling Process on Monel Using Grey Relational Analysis

Abstract

The present examination manages the machining of Monel K-400 to enhance the processing procedure parameters to limit the surface roughness and machining time and to amplify the material removal rate. L16 symmetrical exhibit utilizing Taguchi’s procedure with 4 levels and 3 factors are considered in end milling process. In this work, spindle speed, feed and depth of cut are taken as information process parameters of end milling process. Surface roughness, machining time and material removal rate are taken as response parameters. CBN-coated end milling cutter is utilized in this work. Grey relational analysis is used to solve the end milling process with multiple performance characteristics. Analysis of variance was additionally applied to identify the most significant factor of machining process on Monel K-400. Experimental results shown that machining performance in the milling can be improved effectively through this Taguchi-based grey relational analysis approach.