The prediction of wear resistance model for the metal matrix composites

Abstract

The prediction of wear resistance model for the metal matrix composites was developed based on the Taguchi method. The two-body abrasive wear behaviour of the specimens was investigated using pin-on-disc method where the samples slid against various size of SiC grits under different conditions. The orthogonal array, signal-to-noise (S/N) ratio and analysis of variance were employed to find out the optimal testing parameters. The experimental results show that abrasive grain size was found to be the major parameter among the other control factors on abrasive wear, followed by weight fraction of reinforcement. However, the applied load had a much lower effect while sliding distance was not significant. Moreover, the optimal combination of the testing parameters could be determined and predicted. A good agreement between the predicted and actual wear resistance was observed within ±5% significance level.