Optimization and Prediction of Tribological Behaviour of Al-Fe-Si Alloy-Based Nanograin-Refined Composites Using Taguchi with Response Surface Methodology

Aluminium matrix composites (AMCs) are broadly used to change the monolithic materials in aviation, automotive, and defense industries owing their superior characteristics such as specific strength with light weight, greater hardness, good wear resistance, better thermal properties. This novel work was aimed at estimating rate (SWR) of zirconium dioxide- (ZrO2-) filled AA8011 (Al-Fe-Si alloy) composites. A Taguchi method response surface methodology (RSM) were find out optimum range control parameters on SWR proposed The stir casting technique fabricate composite specimens varying proportions (5, 10, 15 wt.%) ZrO2 particle addition. tests performed per L27 orthogonal design by using a pin-on-disk apparatus under dry conditions. For this test, four wt.% ZrO2, load, disc velocity, sliding distance each three levels selected. Based experimental results, 29.43 N 0.94 m/s 1000 m provide minimum developed sample. ANOVA result revealed that load (49.04%) primary dominant factor for affecting SWR, followed content (29.24%), respectively. Moreover, scanning electron microscopy (SEM) analysis study mechanism worn-out test specimens.