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

Yuan, Bing; Tan, Yuzheng; Zhao, Songtao; Gong, Jingyi; Dong, Hao

doi:10.5194/ms-17-799-2026

Articles | Volume 17, issue 2

https://doi.org/10.5194/ms-17-799-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/ms-17-799-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 2

Research article

|

29 Jul 2026

Research article |

| 29 Jul 2026

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

Bing Yuan, Yuzheng Tan, Songtao Zhao, Jingyi Gong, and Hao Dong

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Short summary

We developed a wear model for helical gears with surface modifications, coupling wear with dynamic contact forces and a dynamic wear coefficient. Unlike traditional constant‑rate models, our approach captures real‑time changes in contact stress. Results show wear has little effect on gear stiffness, but its distribution varies strongly with modification type, which also alters vibration evolution. This work aids selection of surface designs to improve gear reliability and reduce noise.