The present work is focused on optimization of machining characteristics of Al/SiCp composites. The machiningcharacteristics such as specific energy, tool wear and surface roughness were studied. The parameters such asvolume fraction of SiC, cutting speed and feed rate were considered. Artificial neural networks (ANN) was usedto train and simulate the experimental data. Genetic algorithms (GA) was interfaced with ANN to optimize themachining conditions for the desired machining characteristics. Validation of optimized results was also performedby confirmation experiments.
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