Process Optimization of EDM Parameters Using TAGUCHI while Machining Aluminium Metal Matrix Composite
Divya Chandra
Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
Search for more papers by this authorNathi Ram Chauhan
Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
Search for more papers by this authorS. Rajesha
Department of Mechanical Engineering, Sayadhri College of Engineering Technology and Management, Mangalore, India
Search for more papers by this authorDivya Chandra
Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
Search for more papers by this authorNathi Ram Chauhan
Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
Search for more papers by this authorS. Rajesha
Department of Mechanical Engineering, Sayadhri College of Engineering Technology and Management, Mangalore, India
Search for more papers by this authorDilbagh Panchal
Search for more papers by this authorMohit Tyagi
Search for more papers by this authorAnish Sachdeva
Search for more papers by this authorDragan Pamucar
Search for more papers by this authorSummary
The unique property of composite materials is better volume to weight ratio, owing to prominent material for components design. The applications of composite materials are not only limited to the automobile and aircraft industry, but are extended to domestic appliance and electronic devices also. However, some challenges occur in the machining of Metal Matrix Composites (MMC) due to different phases of the material bonded together. In this study, Electric Discharge Machining has been used to evaluate the machining parameters on three different composition samples of Al6063, Flyash, and Al 2 O 3 . The optimization of input parameters has been carried out to minimize tool wear rate and maximize material removal rate for input process parameters using a TAGUCHI L9 Orthogonal Array. The machining results indicate that MRR directly depends upon Pulse Current, hence it increases with an increase in pulse current for all the three samples.
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