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A life evaluation methed for front axle based on front axle dynamics model
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Jinzhi FENG1, 2, 3, Wuzhuang SANG1, Dongdong ZHANG1, 2, 3, Liangliang LI4, Xinrong LIU4, Lihui ZHAO1, 2, 3
Journal of Mechanical Strength | 2025, 47(4) : 9 - 19
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Journal of Mechanical Strength | 2025, 47(4): 9-19
·Fatigue·Damage·Fracture·Failure Analysis·
A life evaluation methed for front axle based on front axle dynamics model
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Jinzhi FENG1, 2, 3, Wuzhuang SANG1, Dongdong ZHANG1, 2, 3, Liangliang LI4, Xinrong LIU4, Lihui ZHAO1, 2, 3
Affiliations
  • 1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2.CMIF Key Laboratory for Strength and Reliability Evaluation of Automotive Structures, Shanghai 200093, China
  • 3.Shanghai Technical Service Platform for Reliability Evaluation of New Energy Vehicles, Shanghai 200093, China
  • 4.Technology Center, Yihe Axle Co., Ltd., Zhucheng 262200, China
Published: 2025-04-15 doi: 10.16579/j.issn.1001.9669.2025.04.002
Outline
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In view of the difficulty of obtaining durability test specifications for axle components, a method of constructing driving load of the front axle dynamic model was proposed to provide the input for system-level bench test and life verification of front axle components. The life of front axle was obtained based on the whole vehicle dynamics model and the measured road load, and the useful information and life prediction results in the above process were employed to guide the construction of driving load applied on front axle. Firstly, the frequency band of the measured six-component forces at the wheel center was adjusted. Then, with the goal of minimizing the difference between the damage/life of the front axle and the reference value under each working condition, the adjustment coefficient of the amplitude of the three-way forces at the wheel center was optimized by combining the response surface method and genetic algorithm. The optimized three-way forces at the wheel center and the other three-way torques constituted the driving signal of the front axle model. The results show that the constructed wheel center drive signal is used to simulate the dynamic load of the front axle model. The life of the front axle,the failure sequence of risk points and the damage contribution ratio of various road conditions to dangerous points are obtained and in good agreement with the reference results, which verified the effectiveness of the proposed method and provided reference for the drive signal construction and component life evaluation of system-level bench durability test.Finally, the damage distribution of the front axle can be consistent with the reference results by modifying the main damage load of the shaft tube.

Dynamics model of front axle  /  Life of front axle  /  Surface response method  /  Dynamic load simulation  /  Bench test
Jinzhi FENG, Wuzhuang SANG, Dongdong ZHANG, Liangliang LI, Xinrong LIU, Lihui ZHAO. A life evaluation methed for front axle based on front axle dynamics model[J]. Journal of Mechanical Strength, 2025 , 47 (4) : 9 -19 . DOI: 10.16579/j.issn.1001.9669.2025.04.002
  • National Natural Science Foundation of China(51705322)
Year 2025 volume 47 Issue 4
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.04.002
  • Receive Date:2023-08-02
  • Online Date:2026-03-20
  • Published:2025-04-15
Article Data
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History
  • Received:2023-08-02
  • Revised:2023-09-20
Funding
National Natural Science Foundation of China(51705322)
Affiliations
    1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
    2.CMIF Key Laboratory for Strength and Reliability Evaluation of Automotive Structures, Shanghai 200093, China
    3.Shanghai Technical Service Platform for Reliability Evaluation of New Energy Vehicles, Shanghai 200093, China
    4.Technology Center, Yihe Axle Co., Ltd., Zhucheng 262200, China

Corresponding:

ZHAO Lihui, E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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