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Computational intelligence in optimization of wire electrical discharge machining of cold-work steel 2601

In this study, two parameters of surface roughness and volumetric material removal rate are optimized based on computational intelligence method. Wire electrical discharge machine is used for machining of cold-work steel 2601. The relation between Input parameters including electrical current, pulse-off time, open-circuit voltage and gap voltage and output parameters is studied via Experimental result analysis and mathematical modeling. Subsequently, with use of variance analysis, importance and effective percentages of each parameter are studied. Outputs extracted from Non-dominated Sorting Genetic Algorithm used for optimization of output parameters resulted in optimal solutions.