TO ANALYZE THE EFFECT OF SILICON CARBIDE AND CARBON NANOTUBES ON WEAR BEHAVIOR OF ALUMINIUM

Mechanical Engineering

Aluminum based metal matrix composites (MMCs) are appropriate materials for applications in the aircraft and automotive industries. Wear behavior of Aluminium with various weight percentage Multiwall carbon nanotubes and 20% Silicon Carbide reinforcement through Powder metallurgy method was investigated. The dry sliding wear tests were conducted on composite material using a pin-on-disc wear testing setup for varying Load, Sliding Velocity, Sliding Time and CNT content. Analytical modelling of composite material is carried out by Taguchi’s design of experiments (DOE) using L27 orthogonal array. The experimental results were transformed into a signal-to-noise (S/N) ratios. Analysis of Variance (ANOVA) was used to determine the design parameters significantly influencing the wear rate of the composite material. Based on the experimental results, a multiple linear regression model was developed. A regression equation thus generated establishes correlation between the significant terms obtained from ANOVA. In order to validate the regression model, confirmation wear tests were conducted. The error associated with the relationship between the experimental values and the Predicted values of the regression model for composites was around ±9.5%. The results shows that, for dry sliding wear analysis CNT, Load and Sliding Velocity has great influence on the wear.

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