Optimisation of EDM process parameters for AA7050-10 (WT) % B4C composite through ARAS, grey and Taguchi technique Online publication date: Mon, 30-Sep-2019
by Arvind Kumar; Ram Naresh Rai
International Journal of Materials and Product Technology (IJMPT), Vol. 59, No. 2, 2019
Abstract: The present paper discusses the development of AA7050-10(wt.) % B4C composite through flux assisted stir casting method and its machinability using die sinking EDM. Taguchi L16 orthogonal array were used to perform experiments. Material removal rate, surface roughness and tool wear rate were evaluated as machinability measure by considering the concurrent effect of various process parameters. The collected responses were optimised using additive ratio assessment (ARAS) and grey relation analysis and Taguchi technique. Pulse current of 16 A, pulse on time of 200 μs, and pulse off time of 30 μs were obtained as the optimum machining parameters. The validity of the Taguchi analysis was further verified by conducting a confirmation experiment. The error estimation for both methods is less than 5%. However, ARAS method gives the least percentage error than grey relation analysis. Hence, ARAS model is suitable to optimise the process parameters of electro discharge machining.
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