GLOBAL OPTIMIZATION OF CNC TURNING OF AL/SIC MMC USING RSM AND GENETIC ALGORITHM
Keywords:
Al/SiC MMC, Stir casting, RSM, CNC Turning, Surface roughness, Genetic algorithmAbstract
Composite materials, are now-a-days preferred as an alternative for conventional engineering materials and have got many applications in engineering fields such as automobiles, aerospace where less weight and high strength is required. Metal matrix composites are mostly preferred because of their excellent properties. In the present work, metal matrix composite specimens with 10% silicon carbide particles blended with aluminum metal matrix and casted using stir casting process. Experiments for turning operation were designed using response surface methodology. Cutting speed, feed and depth of cut were considered as control factors and surface roughness was considered as output response. A mathematical model was developed and the model was utilized in the process of optimization. A popular global optimization technique, genetic algorithm is used for optimization.
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