چکیده مقاله
electrical discharge machining EDM is themost widely and successfully applied for the machining ofconductive parts In this process, the tool has no mechanicalcontact with the specimen and the hardness of work piece hasno effect on the machining pace Hence, this technique couldbe employed to machine hard materials such as super alloys Inconel 718 super alloy is a nickel based alloy that is mostlyused in oil and gas, power stations and aerospace industries In this study the effect of input EDM process parameters onInconel 718 super alloy, is modeled and optimized Theprocess input parameters considered here include voltage V , peak current I , pulse on time Ton and duty factor η The process quality measure is material removal rate MRR The objective is to determine a combination of processparameters to maximize MRR The experimental data aregathered based on D optimal design of experiments DOE Then, statistical analyses and validation experiments havebeen carried out to select the best and most fitted regressionmodels In the last section of this research, genetic algorithm GA has been employed for optimization of the performancecharacteristics Using the proposed optimization procedure,proper levels of input parameters for any desirable group ofprocess outputs can be identified A set of verification tests isalso performed to verify the accuracy of optimizationprocedure in determining the optimal levels of machiningparameters The results indicate that the proposed modelingtechnique and genetic algorithm are quite efficient inmodeling and optimization of EDM process parameters
کلیدواژهها
نویسندگان
Samira Shami
مقاله Mathematical Modeling and Optimization of Material Removal Rate in EDM Process Using Design of Experiments and Genetic Algorithm
شیوه ارجاع
Shami, Samira,1396,Mathematical Modeling and Optimization of Material Removal Rate in EDM Process Using Design of Experiments and Genetic Algorithm,3th Internatioal Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی مهندسی صنایع و سیستمها (ICISE ۲۰۱۷)22 شهریور 1396 · مشهد