Investigation on meshing characteristics of spiral bevel gear under wear fault evolution with assembly errors

Spiral bevel gears have the advantage of transmitting high torque and power comparing to helical gear and straight bevel gear. However, they are susceptible to wear due to factors such as high loads, poor lubrication, and surface imperfections resulting from machining. In this study, we propose an autonomous model for predicting tooth wear and analyze the meshing characteristics of spiral bevel gear (SBG) pairs under different assembly errors. Concurrently, we establish a finite element model to validate the accuracy of our meshing characteristic analyses. We also compare the distribution patterns of wear depth on the tooth surface with existing literature. Our investigation delves into meshing characteristics, encompassing transmission errors and Time-varying mesh stiffness (TVMS), considering wear evolution under assembly errors. The results demonstrate that the fluctuations in TVMS remain consistent across all four types of assembly errors examined. Gear tooth wear leads to an increase in gear backlash and fluctuations in unloaded transmission error. The meshing stiffness fluctuation of the SBG pair enlarges under wear evolution. Assembly errors result in shifts in the initial contact line and contact pattern, subsequently altering the distribution of wear depth. Different forms of assembly errors may cause a similar effect on the distribution of wear depth and meshing characteristics.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology
Published
2024-10-25
DOI
https://doi.org/10.1177/13506501241292499
Citations
2
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.43

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article

Investigation on meshing characteristics of spiral bevel gear under wear fault evolution with assembly errors

Weimin Ding, Linqiao Wang, Zhanwei Li, Ruijun Liang et al.
2 citations
Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology
Gear and Bearing Dynamics Analysis
0.43
article

Investigation on meshing characteristics of spiral bevel gear under wear fault evolution with assembly errors

Weimin Ding, Linqiao Wang, Zhanwei Li, Ruijun Liang, Hui Ma, Juntao Zhang, Hetao Song, Rupeng Zhu
article en
2 citations

Abstract

Spiral bevel gears have the advantage of transmitting high torque and power comparing to helical gear and straight bevel gear. However, they are susceptible to wear due to factors such as high loads, poor lubrication, and surface imperfections resulting from machining. In this study, we propose an autonomous model for predicting tooth wear and analyze the meshing characteristics of spiral bevel gear (SBG) pairs under different assembly errors. Concurrently, we establish a finite element model to validate the accuracy of our meshing characteristic analyses. We also compare the distribution patterns of wear depth on the tooth surface with existing literature. Our investigation delves into meshing characteristics, encompassing transmission errors and Time-varying mesh stiffness (TVMS), considering wear evolution under assembly errors. The results demonstrate that the fluctuations in TVMS remain consistent across all four types of assembly errors examined. Gear tooth wear leads to an increase in gear backlash and fluctuations in unloaded transmission error. The meshing stiffness fluctuation of the SBG pair enlarges under wear evolution. Assembly errors result in shifts in the initial contact line and contact pattern, subsequently altering the distribution of wear depth. Different forms of assembly errors may cause a similar effect on the distribution of wear depth and meshing characteristics.

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering TribologyVol. 239(4)
University of Nottingham Ningbo China (CN), Chongqing University (CN), State Key Laboratory of Mechanical Transmission, Northeastern University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 41%
Gear and Bearing Dynamics Analysis
0.43
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