Multi-Response Optimization of Stir Casting Parameter of New Nanocomposites Formulation of Al-Si-Mg Alloy Reinforced with Synthesis Carbon Nanotube and Periwinkle Shell Nanoparticles via Taguchi-Grey Approach

The optimal parameter settings for stir casting of the A-Si-Mg alloy reinforced with carbon nanotubes synthesized from rice husk (CNTs -derived RH) and periwinkle shell nanoparticle (PWSnp) nanocomposites were determined using the Taguchi-grey relational method. The wt% CNTs derived RH, wt% PWSnp stirring speed, and time were the stir casting parameters, and porosity, hardness values, and compressive strength were used in the multi-response for the study. The optimal condition is 0.5wt CNTs derived RH, 1.5wt% PWSnp, 250rpm stirring speed, and 5-minute stirring time. The Taguchi Grey method is applicable for the multi-response optimization of aluminum waste beverage cans, CNTs derived from RH, and PWSnp nanocomposites, as the experimental results fall within the range of the predicted values.