An Effect of Wear Behaviour on B4C Particles Reinforced with Prepared through Powder Metallurgy Method using Response Surface Methodology

This present study is to develop the statistical model that might be used to forecast the wear of Al–12Si-x B4C (x = 0, 4, and 8 wt. % of B4C) composites have faith in densification of the powder throughout compaction and sintering. The L17 orthogonal array was selected for investigating the response surface methodology (RSM) design using three factors with one replicate. Analysis of Variance (ANOVA) was utilized to explore the influencing input factors on Wear Loss (WL). The hardness of the composites will rise because of the increased wt. % of B4C. The Pin-on-disc and Scanning Electron Microscope (SEM) were used to examine the wear and friction, and characterization of Al–12Si-x B4C composites respectively. The mathematical model was applied by design expert software so as to precise the influence degrees of the most wear variables like reinforcement, sliding distance and load on WL. The results specify that the load and sliding distance is that the dominant factor affecting WL mainly.