Multi Response Optimization for Processing Al-SiCp Composites: An Approach Towards Enhancement of Mechanical Properties

The present study illustrates the manufacturing aspects of composite with different wt% of SiC particulates as reinforcement in the aluminum alloy matrix developed through investment casting route. The composites were prepared by varying certain process parameters like preheating temperature of particulates, percentage reinforcement and stirring speed. Detailed micro-structural characterization and estimation of mechanical properties (viz., strength, hardness and porosity measurement) are necessary supplements to this investigation. A mathematical model is developed using regression analysis technique for prediction of optimum process parameters viz. percentage reinforcement, preheating temperature of particulates and stirring speed for producing MMCs with enhanced mechanical properties and adequacy of the model has been validated using analysis of variance techniques. Finally the optimization of parameters has also been done using design expert software. The authors have achieved 81.56 % desirability level using multi-response optimization; the optimum value of process parameters would lead to enhanced mechanical properties of cast component.