Study of tribology behavior of hybrid composites of aluminium matrix using taguchi gray relational analysis system
DOI:
https://doi.org/10.47392/irjash.2020.220Keywords:
Hybrid Aluminium matrix composites, Stir casting, Taguchi Design of Experiments, Grey Relational analysis, ANOVAAbstract
his paper introduces an efficient approach to optimising the tribological characteristics of Hybrid Aluminium Matrix Composites (356-B4Cp-MoS2) and (356-B4Cp-Gr) manufactured by stir casting, with multiple performance characteristics dependent on grey relational study. B4C was kept constant at 6 percent for all two composites in this study (356-6 percent B4C-2 percent MoS2 and 356-6 percent B4C-2 percent Gr) and Gr and MoS2 were used at 2 percent wt. Dry sliding wear tests were performed using a standard pin on disc test setup based on Taguchi's orthogonal arrays following a well planned experimental schedule. Considering several performance characteristics: wear rate, basic wear rate and friction coefficient, the input parameters such as sliding speed, sliding distance, load and reinforcement percentages are optimised. From the response table and response graph of the grey relational grade, the
optimal levels of input parameters were selected. The meaning of the wear parameters was discovered using ANOVA.
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