MOGA approach in WEDM of advanced aluminium alloy. (2020)

• Record Type: Journal Article
• Authors: Biswas, Md. S.; Mandal, K.; Sarkar, S.
• Is Part Of: Materials today. Volume 26:Part 2(2020)
• Page Start: 887
• Page End: 890
• Publication Date: 2020
• Subjects: WEDM -- Al 7075 -- MOGA -- Cutting speed -- Surface roughness -- SEM; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.01.127
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: An experimental study on Wire Electrical Discharge Machining (WEDM) of 7075 aluminium (Al 7075) alloy has been carried out for the selection of the optimal machining parameter. Based on the Taguchi Methodology (L16 orthogonal array), number of experiments have been performed by considering pulse-on time, pulse-off time and wire tension as control parameters. The cutting speed and surface roughness have been considered responses. A mathematical model has been employed in order to predict the response parameters as the function of different control factors using non-linear regression analysis and the model has been verified by verification experiments. Finally, Multi objective genetic algorithm (MOGA) has been used to optimize the WEDM process parameters for this alloy. The present study demonstrates extremely useful for maximizing the productivity with desired surface finish.