Optimization of Micro EDM Process Using Multi Objective Grasshopper Optimization Algorithm (MOGOA)

Abstract

The complex cross sectional micro-operation entails precise and stable micro machining processes. Localized electrochemical deposition in micro EDM operation is an inexpensive meticulous machining approach which can maneuver a variation of structures. The discharge energy of RC type pulse generator depends on capacitance and pulse voltage which have direct impact on Material Removal Rate (MRR), Relative Wear Ratio (RWR), Average Spark Gap (ASG) and Average Taper Angle (ATA). In this book, the optimal performance of MRR, RWR, ASG and ATA are optimized using Multi Objective Grasshopper Optimization Algorithm (MOGOA) on steel, copper, brass and aluminium are investigated. The desired condition of micro EDM operation is higher MRR and lower RWR, ASG and ATA in order to minimize the discharge energy of the machining process. The objective of the book is to find the optimal set of parameters that satisfies the multi conflicting optimizing parameters. The effect of the workpiece materials at different operating conditions are investigated to determine the effect of the optimizing parameters on the tool efficiency, workpiece efficiency and dimensional accuracy are studied. The optimization algorithm is evaluated with diverse optimization algorithms.