Multi-objective Optimization of Photochemical Machining Parameters Using Taguchi Grey Relational Analysis

Abstract

This research paper describes the multi-objective optimization of process parameters of photochemical machining process. Aluminium was selected as workpiece for obtaining maximum rate of material removal, minimum surface roughness and minimum edge deviation of predefined pattern. The selected machining parameters were etching concentration, etching temperature and etching time. To determine optimal solution, grey relational analysis was performed. To determine the most significant input parameter, analysis of variance of grey relational grade was carried out. The optimal condition of input parameters was found to be 400 g/L of concentration, 60 °C of temperature and 8 min of etching time. Etching temperature was found to be the most dominant parameter on the output response followed by etching time, while concentration being the least significant. ANOVA of grey relational grade showed the etching temperature was the only significant factor for machining of aluminium workpiece.