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Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach

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Abstract

The present work aims to study the influence of adding nano graphene powder in dielectric on the circularity and surface roughness of nickel super alloy (Inconel 718) during electrical discharge machining (EDM). The mixing of suitable powder in nano form with dielectric oil enhances the machining efficacy of EDM by altering the electric field intensity and energy distribution. The experimental investigations were performed using Taguchi L27 orthogonal array by considering peak current (Ip), pulse on time (Ton) and pulse off time (Toff) as input variables. The optimal process conditions have been determined using efficient intelligent methods namely fuzzy logic and ANFIS model giving excellent prediction of machining performance in terms of surface roughness (Ra) and circularity. Based on ANFIS results, the minimum circularity and surface roughness achieved for nano graphene mixed EDM are 0.0126 mm and 1.590 µm respectively, which is 12.27% and 32.91% superior in comparison to traditional EDM results. The ANOVA analysis was performed for confirming adequacy of developed models and based on analysis, peak current was found to have most influencing effect on surface roughness with contribution of 54.96% and pulse on time proved to be the most contributing factor for circularity with contribution of 50.93%. The ANFIS model was found out to be giving more significant predictions than fuzzy model. The scanning electron microscopy shows the improvement in surface finish of nano graphene mixed dielectric EDM in comparison to traditional EDM.

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Acknowledgements

The authors would like to express their sincere gratitude to the School of Automobile, Mechanical and Mechatronics (SAMM) Engineering for supporting to carry out this research work by providing machining and results testing equipment. Furthermore, we would like to acknowledge BSDU Jaipur for providing Coordinate Measuring Machine (CMM) to analyse the Geometric Dimensioning and tolerances.

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  1. Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India

    Ashish Goyal, Deepesh Sharma & Arnab Bhowmick

  2. Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India

    Vimal Kumar Pathak

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  1. Ashish Goyal
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Correspondence to Vimal Kumar Pathak.

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Goyal, A., Sharma, D., Bhowmick, A. et al. Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach. Int J Interact Des Manuf 16, 1135–1154 (2022). https://doi.org/10.1007/s12008-021-00826-5

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