Gear and Bearing Dynamics Analysis Open access Peer reviewed

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

Bing Yuan, Yuzheng Tan, Songtao Zhao, Jingyi Gong and 1 more

Mechanical sciences | Jul 29, 2026

Abstract

Abstract

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.

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Authors

Researchers on this paper

Bing Yuan

first | Xi'an Technological University

Yuzheng Tan

middle | Xi'an Technological University

Songtao Zhao

middle | Tongji University

Jingyi Gong

middle | Xi'an Shiyou University | ORCID 0000-0003-3622-0366

Hao Dong

last | Xi'an Technological University | ORCID 0000-0003-1048-9017

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Citation

BibTeX

@article{Yuan2026effective,
  title = {An effective prediction model for dynamic wear evolution of unmodified and modified helical gear pairs},
  author = {Bing Yuan and Yuzheng Tan and Songtao Zhao and Jingyi Gong and Hao Dong},
  journal = {Mechanical sciences},
  year = {2026},
  doi = {10.5194/ms-17-799-2026},
  url = {https://doi.org/10.5194/ms-17-799-2026}
}

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