An effective prediction model for dynamic wear evolution of unmodified and modified helical gear pairs

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Abstract
An effective dynamic wear prediction model for helical gear pairs considering tooth surface modification is established by deeply integrating the Archard wear model, the loaded tooth contact analysis (LTCA) model, and the lumped-parameter dynamic model of helical gear pairs. The dynamic contact stress can be obtained by introducing the dynamic mesh force into the LTCA model. By substituting the dynamic contact stress, relative sliding distance, and dynamic wear coefficient into the Archard wear model, the wear depth can be determined. A cyclic tooth-surface-updating strategy is employed during the wear prediction process. The impacts of input speed and input torque on contact stress and tooth surface wear distribution are discussed. The changes in mesh stiffness, dynamic contact stress, and dynamic responses of unmodified and modified helical gear pairs before and after wear are investigated.
Funding Information
  • National Natural Science Foundation of China (52375062)
  • National Natural Science Foundation of China (52005382)
  • Natural Science Basic Research Program of Shaanxi Province (2025JC-YBMS-399)
  • Natural Science Basic Research Program of Shaanxi Province (2025JC-YBQN-651)

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