Effect of Two Different Dielectrics on the Machining Performance and Their Parametric Optimization Through Response Surface Methodology

The present experimental work addresses a comparative analysis of machining performance in two different dielectrics fluid, i.e., EDM oil and deionized water onNimonic (grade C-263) alloy. The performance measures specifically MRR, TWR, and SR were analyzed and optimized through response surface methodology. Furthermore, regression models were established to study the inter-relationship between the input variables and performance outcomes. Different values for the TON (20, 60 and 100 mu s), duty factor (0.2, 0.5, 0.8), and I-p (4, 10, 16 A) were selected to perform the experiments. The experimental results revealed the fact that the machining condition significantly influenced the MRR, TWR, and SR. The competency of the developed model has been verified through analysis of variance (ANOVA). The outcomes of the analysis of variance indicate that the proposed regression models are well suited. Meanwhile, the predicted results were validated by performing a confirmation test, and error was found within the acceptable level.