Hybrid RSM-NSGA-II based multi-objective optimization of electrical discharge machining of AISI D2 steel.

PLoS One · 2026 · PMC13327271 · PMID 42391195

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closest p · 0.0× alpha

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highly significantp < 0.001actually significant

Results and discussion Effect of process parameters on MRR The ANOVA results and standard regression coefficient for MRR are presented in Tables 5 and 6 respectively at a 95% confidence level and the results showing that the regression model for MRR is highly significant (F = 67.84, p < 0.001).

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