EXPERIMENTAL INVESTIGATION ON EDM MACHINING PARAMETERS OF AL/ALUMINA COMPOSITE AND OPTIMIZATION BY GENETIC ALGORITHM
Keywords:EDM, Alumina, Genetic Algorithm
Metal Matrix Composites (MMCs) are extremely difficult to Machine using conventional manufacturing processes due to heavy tool wear caused by the presence of the hard particle reinforcement in the metallic matrix. Electro Discharge Machining (EDM) is capable of machining geometrically complex or hard material components. Since the machining cost is so high, it becomes necessary to find out the best combination of parameters before the material is put in to production. The machining information for the particle-reinforced material using EDM is inadequate. This paper presents details and results of an investigation in to the machinability and selection of optimal parametric combination for Alumina (Al2O3) particle reinforced aluminium matrix composites using Electro Discharge Machining process. Genetic Algorithm is used to optimize the objectives such as Metal Removal Rate (MRR) and Surface Roughness (Ra) with parameters Current(I),Pulse on Time(T ON),Pulse off Time(T OFF),Gap control voltage(V)and Flush Pressure(P). The deviation of actual results from the predicted results are in the negligible range.
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