Computational Intelligence in Optimization of Wire Electrical Discharge Machining of Cold-Work Steel
نویسندگان
چکیده
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. Index Term-Wire electrical discharge machining, Surface roughness, volumetric material removal rate, Multi-objective optimization, none dominated sorting genetic algorithm
منابع مشابه
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...
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