Wear Resistivity of Al7075/6wt.%SiC Composite by Using Grey-Fuzzy Optimization Technique

The application of SiC particulate reinforcement impact greatly for making aluminium matrix composite because of its superb heat conductivity, oxidation stability and high resistance to mechanical erosion. Present work based on dry sliding wear analysis of Al7075/6wt.%SiC composite fabricated by liquid state stir casting method. To acquire a productive wear rate, three major process parameters viz. load, sliding speed and covering sliding distance were compared at four different levels. ANOVA analysis showed that the probability rate of the load is less than 0.05 that revealed their significant factor. From the study, the highest GRG and GFG values are found 0.914 and 0.854, respectively, for the optimal operating parameters of 10 Newton load, 2 m/s sliding speed and 500-m sliding distance. Finally, it is revealed that the grey-fuzzy technique effectively authenticates the decision making of wear performance characteristics rather than a plain grey relational grade.