Optimization of Wear Reduction on Al–TiO2–Gr Powder Metallurgy Composites Using D-Optimal Method

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Abstract

The aluminum hybrid composite is prepared in powder metallurgy route aluminum with equal wt% nanoTiO2 and nanoGr reinforcements (5 wt% TiO2 + 5 wt% Gr). The wear behavior was experimentally investigated on three different specimens weight of same volume such as 4, 5, 6 g at different sliding velocities of 1.5, 2.0, 2.5 m/s and normal loads of 5, 10, 15 N were considered. The effect of specific wear rate and co-efficient of friction was optimized by D-Optimal method. The results predicted by the developed mathematical model are compatible well within the measured values. The correlation co-efficient of model, regarding the specific wear rate and co-efficient of friction, were about 0.9895 and 0.8468, respectively. The optimal condition of specific wear rate and co-efficient of friction is attained at sliding velocity 1.62 m/s and normal load 10 N with specimen weight of 5 g. The predicted value of specific wear rate is 5.5548e-6 mm3/Nm and co-efficient of friction is 0.23, respectively.

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Balaji, D., Vetrivel, M., & Ekambaram, M. (2021). Optimization of Wear Reduction on Al–TiO2–Gr Powder Metallurgy Composites Using D-Optimal Method. In Springer Proceedings in Materials (Vol. 7, pp. 667–674). Springer Nature. https://doi.org/10.1007/978-981-15-6267-9_76

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