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Forecast of bending fatigue life for gears considering the influence of residual stress and hardness
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Pengbo ZHAO1, Yong CHEN2, Hui YOU2, Xingyun ZHOU3, Guangxin LI1, Yimin WU1, Xianghuan LIU4
Journal of Mechanical Strength | 2025, 47(2) : 53 - 60
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Journal of Mechanical Strength | 2025, 47(2): 53-60
• Fatigue∙Damage∙Fracture∙Failure Analysis •
Forecast of bending fatigue life for gears considering the influence of residual stress and hardness
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Pengbo ZHAO1, Yong CHEN2, Hui YOU2, Xingyun ZHOU3, Guangxin LI1, Yimin WU1, Xianghuan LIU4
Affiliations
  • 1.Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Hebei University of Technology,Tianjin 300401, China
  • 2.School of Mechanical Engineering, Guangxi University, Nanning 530004, China
  • 3.Zhejiang Yili Auto Parts Co., Ltd., Yiwu 322000, China
  • 4.Zhuzhou Gear Co., Ltd., Zhuzhou 412000, China
Published: 2025-02-15 doi: 10.16579/j.issn.1001.9669.2025.02.007
Outline
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In order to study the influence of residual stress and hardness on bending fatigue performance of gear, the 20MnCrS5 steel gear with carburizing heat treatment was taken as the research object, and composite small diameter shot peening strengthening treatment was carried out to realize the gear with different hardness and residual stress states of the same material.Based on the maximum principal strain criterion, incorporating separate factors for residual stress influence and residual stress-hardness coupling influence were introduced respectively to establish the fatigue life prediction model.Through shot-peened gear bending fatigue tests, optimal values for both the residual stress influence coefficient and correction coefficient were determined.The two models’ accuracy for life prediction was contrasted, and the accuracy of these models was further verified through unshot peened gear bending fatigue test.The results show that considering only residual stress influence yielded an optimal value of 0.09 for the residual stress influence coefficient, the model achieving high life predictive accuracy.Whereas considering the effects of residual stresses and hardness, it requires a correction coefficient with an optimal value of 0.04, the model achieve even higher predictive accuracy.

20MnCrS5 carburized gear  /  Bending fatigue  /  Composite small diameter shot peening  /  Life forecast  /  Maximum principal strain criterion
Pengbo ZHAO, Yong CHEN, Hui YOU, Xingyun ZHOU, Guangxin LI, Yimin WU, Xianghuan LIU. Forecast of bending fatigue life for gears considering the influence of residual stress and hardness[J]. Journal of Mechanical Strength, 2025 , 47 (2) : 53 -60 . DOI: 10.16579/j.issn.1001.9669.2025.02.007
Funding
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  • National Key R&D Program of China(2018YFE0207000)
  • Hebei Province Full-Time Introduction of High-End Talent Project(20181228)
Appendix
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Year 2025 volume 47 Issue 2
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96
46
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.02.007
  • Receive Date：2023-07-04
  • Online Date：2026-03-18
  • Published：2025-02-15
Article Data
Affiliations
History
  • Received：2023-07-04
  • Revised：2023-08-07
Funding
National Key R&D Program of China(2018YFE0207000)
Hebei Province Full-Time Introduction of High-End Talent Project(20181228)
Affiliations
    1.Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Hebei University of Technology,Tianjin 300401, China
    2.School of Mechanical Engineering, Guangxi University, Nanning 530004, China
    3.Zhejiang Yili Auto Parts Co., Ltd., Yiwu 322000, China
    4.Zhuzhou Gear Co., Ltd., Zhuzhou 412000, China

Corresponding:

CHEN Yong, E-mail：
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表12种不同金属材料的力学参数
科
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Number of
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Number of
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Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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