Multi-response optimization of laser cutting parameters using grey relational analysis

Abstract

This paper presents an approach for the optimization of laser cutting process of aluminium alloy with multi-response outputs based on the Grey relational analysis (GRA). For experimental design, tests are planned based on Taguchi’s L9 orthogonal array. The laser cutting parameters such as laser power and cutting speed are optimized with consideration of multi-response outputs such as top kerf width and surface roughness. It is observed that the laser power has stronger effect on multi-response outputs than cutting speed. According to multi-response optimization results, which are obtained from the highest value of the grey relational grade (GRG), the optimum combination is 2500 W laser power and 2.4 m/min cutting speed to simultaneously minimize the kerf width and surface roughness.