| Popis: |
In recent industrial applications the utilization of monolithic materials is finding quite difficulty due to their untailored properties. In this concern newer composite materials are emerging day-by-day due to their tailored properties and benefits like low cost, high strength to low weight, and availability. In the present research work, the optimization of wear behavior of aluminum–boron carbide composites using factorial analysis has been studied. The composite was synthesized using stir casting route. Different variables like testing temperature, testing time and particle size of B4C were selected to optimize the wear behavior of composite. The weight percentage of boron carbide was kept constant at 8 wt%. The tests were conducted by employing the pin-on-disc wear testing machine. After performing ANOVA and factorial analysis, it is noted that the wear rate increases with the increase in particle size and testing temperature for a given weight fraction of B4C and decreases with the increase in the testing time. Further, it can be concluded that the factors, like particle size and the testing temperature, significantly affect the wear rate of the composite. |
