Solving problem the multiple-response optimization of laser cutting for SM490 steel using grey relational analysis

Abstract

The objective of this research was to determine an optimal cutting condition of laser cutting. The cutting parameters investigated in this study on power, gas pressure, and cutting speed. Full factorial design was employed as the experimental strategy. Design and analysis of experiment (DOE) and Grey relational analysis using determine optimization parameter. Results showed that the optimal cutting condition was reliability that more DOE. In addition, grey relational analysis method was an effective optimal solving solution in case of multiple responses. The optimal cutting conditions received from grey relational analysis provided an improvement of the cutting characteristics compared to responses of the pre-improvement cutting conditions.