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- W4383618504 abstract "In the current study, we report on the modeling and characterization studies of wear behavior of aluminium metal matrix composites reinforced with reduced graphene oxide (rGO), silicon carbide (SiC), and alumina (Al2O3). A double stir casting process was utilized in the production of the metal matrix composites using a 10 wt% ratio of the reinforcements. The wear test was performed using a pin-on-disc at room temperature, by varying loads and sliding speed. The results show that the sliding speed, load, and interactions between the sliding speed and load as well as the load and the composition were significant model terms. The optimum predicted conditions were attained at a sliding speed of 750 rpm at a of load 750 g for composition C. The P-values was less than 0.0500, indicating that the model terms are significant. At lower load, a rubbing type of debris feature characterizes the debris morphology. However, at higher loads, a severe sliding feature with striations and straight edges was evident. The EDX peak suggests a mechanically mixed layer comprising Al2O3 on the surface." @default.
- W4383618504 created "2023-07-09" @default.
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- W4383618504 date "2023-07-01" @default.
- W4383618504 modified "2023-09-25" @default.
- W4383618504 title "Modeling and characterization studies of wear behavior of aluminium metal matrix composites reinforced with reduced graphene oxide, silicon carbide, and alumina" @default.
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- W4383618504 doi "https://doi.org/10.1016/j.matpr.2023.06.367" @default.
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