Abstract
Abrasive wear was simulated for tungsten carbide-nickel (WC–Ni) composite coatings with different volume fractions of reinforcing particles under abrasive cyclic loading. Using parallelized computing approaches, for the first time in the literature, the effects of reinforcing particle and normal load on material removal mechanisms and wear rates were numerically analyzed for multi-cycle loading. The results demonstrated how various material removal mechanisms compete with each other for varying load, cycles, and particle concentrations. This both confirmed previous experimental observations, as well as motivates future areas towards materials tailoring and optimization. Finally, a statistical predictive model was developed to define the relationship between the wear rate, reinforcing particle volume fraction, and load in order to inform future efforts in materials design.
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