Materials and Manufacturing Processes · 2010 · 90 citations · 26 references
EngineeringManufacturing EngineeringMaterials EngineeringManufacturing ProcessesMaterials ProcessingProcess DesignAbrasive WearComputer Numerical ControlMachiningProcess OptimizationSurface RoughnessTool SteelsAbrasive MachiningMachining ProcessesProcess ParametersProcess Parameters OptimizationProcess Performance IndicesSiliconSurface Roughness OptimizationSurface Roughness Parameters
In this article, a technique for optimization of abrasive mixed electrical discharge machining (AEDM) process with multiple performance characteristics based on the orthogonal array with grey relational analysis has been studied. The process input parameters, i.e., concentration of silicon abrasive powder in dielectric fluid, peak current, pulse-on time, and duty factor, were chosen to study process performance in the form of MRR and surface roughness. The research outcome identifies significant parameters and their effect on process performance on EN-24 tool steel using copper electrode with silicon powder (2 g/l) suspended in kerosene dielectric. The optimum process conditions have been verified by conducting the confirmation experiments.
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Jiang Lin, C.L Lin · International Journal of Machine Tools and Manufacture · 2002 · 493 citations
Engineering, Electrical Engineering, Manufacturing Engineering +7