Incorporating Optimization to Improve Durability of A356 Metal Matrix Composites with Nanoparticles of TiO2 and SiC

This research evaluates adaptive and statistical techniques to enhance the wear behaviour of A356 metal matrix composites supplemented by nanoparticles of TiO2 and SiC.The composites were created by the stir casting technique, and their wear behaviour was studied using a pin-on-disc device.Scanning electron microscopy (SEM) analysis confirmed an even distribution of strengthening particles over the A356 aluminum matrix surface.This research revealed that the addition of these SiC and TiO2 nanoparticles to composites resulted in a more refined particulate structure in the end product.For an examination of the composites' wear behaviour in contrast to basic alloy, the data was optimized using the Taguchi approach and Improved particle swarm optimization (I.P.S.O.) algorithm.The findings indicated that speed, applied load and sliding distance significantly influenced the rate of wear for the base alloy matrix, A356 containing 3% TiO2 nanocomposite, and A356 containing 3% SiC nanocomposite, correspondingly.Composites using nanoparticles of SiC and TiO2 have much improved tribological characteristics.