journal article·2024-12

Enhanced Powder Mixed Electrical Discharge Machining Performance toward Improved Machining Characteristics for Inconel 625 Super Alloy by Response Surface Methodology and Fuzzy Logic Techniques

Ashish Goyal, Arpit Srivastava, Vimal Kumar Pathak, A. Yvaz

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Abstract

Electrical discharge machining (EDM) is a broadly used advanced technique, especially for producing precise and intricate geometrical designs to hard alloys. The proper selection of dielectric fluid plays an important role in the performance of the EDM process. In the present work, powder mixed dielectric EDM is used for the fabrication of slots in 625 alloy. The process parameters and type of dielectric (silicon carbide, graphene nanoparticles, and mixture of nanoparticles) are considered. The material removal rate (MRR) and surface roughness (SR) have been revealed as responses. The experimental design has been made, and results were optimized by using the response surface methodology (RSM) and fuzzy logic technique. The significant and non-significant parameters have been analyzed by the ANOVA approach. The R2 value of the fuzzy model for responses is 0.978 and 0.9253 obtained, respectively, showing good correlation with experimental data. The higher value of R2 signifies a better fuzzy model that fits the data adequately with powder mixed electrical discharge machining (PMEDM). The results show that the SR varies within a range of 1.5 to 3.8 μm. Also, scanning electron microscopy (SEM) and energy-dispersive spectrometer (EDS) studies have been performed to explore the material characteristics of specimens.
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Research context

OpenAlex topics: Advanced Machining and Optimization Techniques · Advanced machining processes and optimization · Advanced Surface Polishing Techniques

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