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Metal matrix composites (MMCs) are attracting considerable interest worldwide
because of their superior mechanical and tribological properties. This investigation presents
the use of Taguchi method for minimizing the specific wear and coefficient of friction in red
mud based aluminum MMC. Response Surface Methodology (RSM) is also employed to
develop mathematical model for specific wear rate and coefficient of friction. A plan of
experiments, based on L27 Taguchi design method, the orthogonal array, signal- to- noise
ratio, and analysis of variance (ANOVA) are employed to investigate the influence of
parameters like applied load, sliding velocity, % of reinforcement and hardness of the
counterpart material. Pin on Disc apparatus is used to conduct the experiment to analyze the
effect of input parameters on output performance characteristics. From the analysis of signal
to noise ratio (S/N) and ANOVA, the optimal combination levels and the effect of input
parameter on output response are obtained. RSM is employed to develop mathematical model,
capability of the model is good in prediction of results and results are very closer to the
measured value. Analysis of variance (ANOVA) technique is applied to check the validity of
the developed model. The result stress that the developed model could be effectively
employed to predict the specific wear rate and the coefficient of friction.
Keywords: aluminum; red mud; MMC; Taguchi; response surface methodology; ANOVA |
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