Adaptive Neuro-Fuzzy Interference System Modelling of EDM Process Using CNT Infused Copper Electrode

This study deals with the experimental investigation of the machining characteristics of AISI D2 Tool Steel on the EDM process by using Carbon Nanotube (CNT) infused nano copper electrode, and checking the improvement in machinability characteristics like Material Removal Rate (MRR), Electrode wear rate (EWR) and Surface finish (SR). The work material is spark machined with pure copper and CNT-infused copper electrodes by varying parameters on an EDM. Experiment work is conducted based on Taguchi L9 orthogonal array. The various results of the machining characteristics of with and without CNT are compared and analyzed by means of Adaptive Neuro-Fuzzy Inference System (ANFIS) approach; Analysis of variance (ANOVA) and F-test are used to check the validity of regression model and determine the significant parameter affecting the surface roughness. The output values are found to be close to predicted values with an error of less than 5%.

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