Multi Objective Optimization of Near-Dry EDM using MOORA-PCA based Taguchi Optimization Method IJTSRD
In any machining operation, the correct and optimized selection of process parameters is the most important aspect. Particularly in Electric Discharge Machining (EDM) also, its process parameters should be optimized to get the best result. Near-Dry EDM is an advancement in conventional EDM process, which is an eco-friendly process compared to the conventional EDM. In this paper work has attempted to simultaneously optimize all the parameters of near-dry EDM. Near-dry EDM uses liquid-gas mixture as dielectric. Input parameters considered are discharge current, gap voltage, air pressure, pulse on time electrode material and duty factor. The performance parameters were material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra). L18 orthogonal array based on Taguchi method is used as design of experiment. For multi objective optimization MOORA combined with PCA analysis is used and then Taguchi method is applied.
By Manish Verma | Ritu Shrivastava”Multi Objective Optimization of Near-Dry EDM using MOORA-PCA based Taguchi Optimization Method”
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,
Multi Objective Optimization of Near-Dry EDM using MOORA-PCA based Taguchi Optimization Method IJTSRD IEEE PAPER
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