Designing effective mechanical brakes for wind turbines has been hindered by the historical reliance on simplistic criteria such as wear rate and friction coefficient for material selection. In this study, a novel approach to predicting wear rate was proposed, utilizing Archard's wear coefficient and considering factors such as material composition, hardness, sliding distance, and axial load. Furthermore, we developed a numerical model to simulate the tribological behavior of wind turbine brake pads, integrating the novel wear coefficient derived from a hybrid mathematical model with cubic and radial basis functions. This comprehensive approach bridges the gap between experimental data and theoretical insights, offering a robust framework for optimizing brake pad design and performance.
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