Multi performance optimisation of wire-cut EDM process parameters of Incoloy 800 alloy using grey relational analysis

Abstract

Abstract Wire Electric Discharge Machining is one of the non-conventional machining processes, used to machine alloy materials with high mechanical strength and also cuts intricate shapes. This paper presents a study in multi performance optimization of machining parameters of Wire electric discharge machining of Incoloy 800 alloy using Taguchi method and grey relational analysis. Incoloy 800 alloy is a nickel, iron and chromium based alloy. The variation in process parameters affects the response variables such as Surface roughness and Material removal rate. Taguchi L27 Orthogonal array is used to perform the experiments. Experiments are performed by considering machining parameters such as Pulse on time, Pulse off time, Gap Voltage, Peak current. By varying the machining parameters accordingly the optimum values are obtained for performance characteristics. The optimization is performed in order to obtain best Surface Roughness and maximum Material Removal Rate. By Grey relational analysis the optimal combination of machining parameters is obtained. ANOVA reveals the most influential factor for Surface roughness and MRR. The results show that the machining parameter Pulse ON time has the greater impact on the performance characteristics.