OPTIMIZATION OF MACHINING PARAMETERS IN ECM OF Al/B4C COMPOSITES USING GENETIC ALGORITHMS
نویسندگان
چکیده
Performance criteria namely Material Removal Rate (MRR), Surface Roughness (SR) and Radial Over Cut (ROC) in electrochemical machining process greatly affected by the machining parameters like electrical parameters, electrode parameters, electrolyte parameters and workpiece properties. In the present work applied voltage (electrical parameter), tool feed rate (electrode parameter), electrolyte concentration (electrolyte parameter) and reinforcement content (workpiece property) are considered as input machining parameters. Multiple linear regression models are developed for MRR, SR and ROC. Optimum machinating parameters to maximize MRR, minimize SR and minimize ROC are found out using genetic algorithms.
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