Optimization of dry sliding wear process parameters for Al-Mg-Si hybrid composites using taguchi method

Abstract EN

The aim of the presents study was to investigates the influence of different sliding velocity 1.4, 2.8, 4.2 m/sec, applied load 5, 10, N and time 10, 20, 30 min on wear rate of Al-Mg-Si alloy reinforced with varying weight fraction of TiO₂/SiC 1.5:0 ,3:0 , 4.5:0 , 0:1.5 , 0:3 , 0:4.5 , 1.5:1.5 , 3:3 , 4.5:4.5 wt.% with the same particle size (>75μm) by using pin-on-disk techniques.

In this research Al-Mg-Si alloy TiO₂/SiC hybrid composites was prepared by vortex technique.

The primary objective is to use taguchi method for predicting the better parameter that give the highest wear resistance.

A L9 orthogonal array was selected for each present to analysis of data and use ANOVA to determine parameters significantly influencing the wear rate of hybrid composite.

Optical microscope and SEM with EDS examination were utilized to study the worn surface.

The experimental and analytical results showed that the taguchi method was successful in predicting the parameters that give the highest properties and the volume fraction was the most influential parameter on the wear rate.

The results demonstrated that when the applied load and time increased the wear rate increasing, but when the sliding velocity increased the wear rate decreasing and showed the minimum wear in hybrid composite with 4.5% reinforcement this observed with highest ratio of S/N 156.787