Bing Yuan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Bing Yuan has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
Yuzheng Tan
School of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China
2 shared publicationsBing Han
Northwestern Polytechnical University
1 shared publicationGeng Liu
Northwestern Polytechnical University
1 shared publication- Hao Dong
School of Mechatronic Engineering, Xi’an Technological University, Xi’an, China
1 shared publication Jingyi Gong
School of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China
1 shared publicationSongtao Zhao
Harbin Marine Boiler and Turbine Research Institute, Harbin, 150078, China
1 shared publication
Latest Publications
- Open Access
- 29 July 2026
- Published by Copernicus GmbH in Mechanical Sciences
- Vol. 17 (2) , 799-811
An effective prediction model for dynamic wear evolution of unmodified and modified helical gear pairs
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.
- 29 July 2026
- Published by Copernicus GmbH in Mechanical Sciences
- Vol. 17 (2) , 799-811
Open AccessAn effective prediction model for dynamic wear evolution of unmodified and modified helical gear pairs
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.
- 2 January 2026
- Published by Springer Nature
- p. 731-741
A Novel Tooth Surface Wear Prediction Model for Thin-webbed Gear Pairs Considering Manufacturing Errors
- 2 January 2026
- Published by Springer Nature
- p. 731-741
A Novel Tooth Surface Wear Prediction Model for Thin-webbed Gear Pairs Considering Manufacturing Errors