Optimization of machining parameters for turning process by using grey relational analysis

Abstract

This paper presents an optimization of process parameters of turning operation using multi-response optimization Grey Relational Analysis (GRA) method instead of single response optimization. These parameters were optimized based on a three level two factor factorial design with three center points was used for the experimental design with Grey Relational Analysis. The machining parameters such as cutting speed, feed rate, and depth of cut were chosen for experimentation. The performance characteristics chosen for this study are material removal rate (MRR), tool life, and surface roughness. Experiments were conducted using coated carbide tool (KC5010) as the tool and martensitic stainless steel (AISI 420) as the workpiece. Experimental results have been improved through this approach.

Optimization of Material Removal Rate in Computer Numerical Control Lathe Machine in Turning AISI 1040 Steel

“…Implementation of ANFIS-PSO to maximize material removal rate yielded optimal cutting parameters: 101 m/min cutting speed, 0.43 mm/rev feed rate, and 0.54 mm depth of cut. Elsiti and Elmunafi (2023) conducted a multi-response optimization study on turning martensitic stainless steel (AISI 420) using Grey Relational Analysis (GRA). The study aimed to optimize the material removal rate (MRR), tool life, and surface roughness.…”