Developed Mathematical Model of Wear Rate for Al Alloy with Nanoparticle Reinforcement

Abstract

The wear behavior of squeeze cast Al5456alloy with TiC/Flyash nanoparticles is examined. L27 orthogonal array design is preferred to perform the wear experiments to study the influence of various applied loads, sliding distances and sliding speed. ANOVA is carried out to detect the significant and non-significant factors. The maximum and minimum amount of wear is attained as 0.012957mm3 /Nm and 0.002387mm3 /Nm in the 21th and 5th experiments respectively and The optimal factors are recognized to be a sliding distance of 700 m, load of 70 N, and sliding speed of 9 m/s. A model of the regression with three operational factors and three levels was developed for this study. The equations for WR were created by decreasing the sum of the square residuals using the conventional least square method. The regression output and experimental results are compared to estimate the predicted error.

Keywords

• al alloy
• squeeze casting method
• wear test
• taguchi
• optimization and anova