Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—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
Index Terms—Al/B4C composites, Electrochemical machining, Genetic algorithms, Optimization
Cite: A Giribabu*, Sadineni Rama Rao and G Padmanbhan, "Optimization of Machining Parameters in ECM of Al/B4C Composites Using Genetic Algorithms," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 3, pp. 32-38, July 2014.
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