PREDICTION AND OPTIMIZATION OF FATIGUE LIFE OF ELECTRIC DRIVE AXLE HOUSING FOR COMMERCIAL VEHICLE UNDER MULTIPLE CONDITIONS
·Optimization·Reliability·|更新时间:2025-04-03
|
PREDICTION AND OPTIMIZATION OF FATIGUE LIFE OF ELECTRIC DRIVE AXLE HOUSING FOR COMMERCIAL VEHICLE UNDER MULTIPLE CONDITIONS
Journal of Mechanical StrengthVol. 47, Issue 3, Pages: 129-135(2025)
作者机构:
1.湖北汽车工业学院 机械工程学院,十堰 442002
2.湖北汽车工业学院 艺术与设计学院,十堰 442002
3.武汉科技大学 机械自动化学院,武汉 430065
作者简介:
LIU Min, E-mail: 654276858@qq.com
基金信息:
National Natural Science Foundation of China(52375508);Key Project of Hubei Provincial Department of Education(D20211803);Hubei University of Automotive Technology Doctoral Fund(BK202001)
ZHANG Zhiyang,GONG Qingshan,LIU Min,et al. Prediction and optimization of fatigue life of electric drive axle housing for commercial vehicle under multiple conditions[J]. Journal of Mechanical Strength,2025,47(3):129-135.
ZHANG Zhiyang,GONG Qingshan,LIU Min,et al. Prediction and optimization of fatigue life of electric drive axle housing for commercial vehicle under multiple conditions[J]. Journal of Mechanical Strength,2025,47(3):129-135. DOI: DOI:10.16579/j.issn.1001.9669.2025.03.016.
PREDICTION AND OPTIMIZATION OF FATIGUE LIFE OF ELECTRIC DRIVE AXLE HOUSING FOR COMMERCIAL VEHICLE UNDER MULTIPLE CONDITIONS
the drive axle housing is likely to undergo fatigue failure due to prolonged exposure to cyclic alternating loads.To determine whether the drive axle housing of a commercial vehicle’s wheel-side electric motor complying with fatigue life requirements at the design stage
a three-dimensional model and finite element model of the drive axle were established. Firstly
an initial inertia release analysis was performed,indicating that its static strength and stiffness met the requirements.Secondly
based on this foundation,utilizing nCode DesignLife software
using the nominal stress method in conjunction with the material’s
S
⁃
N
curve and fatigue loading curve
a new automotive industry standard was employed to predict the fatigue life of the housing under multiple conditions,such as vertical bending fatigue
braking fatigue and lateral fatigue.The results revealed that the fatigue life of the drive axle housing under braking fatigue and lateral fatigue conditions did not meet the requirements set out in the standard
necessitating structural optimization. Finally
reinforcement optimization was performed on the drive axle housing. The results show that
through optimization,the maximum stress of the drive axle housing is reduced by 95.8 MPa and the maximum deformation is decreased by 1.064 mm under the maximum impact conditions.Additionally
the minimum fatigue life under three different fatigue conditions is improved respectively by 1.076 million cycles
289 000 cycles
and
497 000 cycles
exceeding the requirements stated in the standards.This validates the feasibility of optimizing the drive axle housing structure
effectively shortening and reducing the research and development cycles and associated costs.
HUANG Jianfei , WANG Jianhua , LE Di , et al . Research review of electric drive axle [J]. Journal of Mechanical Transmission , 2020 , 44 ( 11 ): 171 - 176 . (In Chinese)
WU Wei , SHI Qijun , WANG Lei , et al . Fatigue life analysis of the frame of a semitrailer special vehicle [J]. Journal of Mechanical Strength , 2023 , 45 ( 2 ): 481 - 487 . (In Chinese)
KUMAR G S , KUMARASWAMIDHAS L A . Design optimization focused on failures during developmental testing of the fabricated rear-axle housing [J]. Engineering Failure Analysis , 2021 , 120 : 104999 .
TAN X F , WANG C L , XIE K , et al . Research on fatigue reliability prediction model and structural improvement of welded drive axle housing based on master S - N curve method [J]. Quality and Reliability Engineering International , 2023 , 39 ( 1 ): 302 - 319 .
YU Heng , YANG Huiping , LIU Zhi’en , et al . Fatigue life analysis of truck axle load [J]. Journal of Wuhan University of Technology (Transportation Science & Engineering) , 2014 , 38 ( 3 ): 667 - 671 . (In Chinese)
ZHOU Donglong . Fatigue analysis of a light truck rear bridge based on virtual iteration [D]. Taiyuan : North University of China , 2019 : 70 - 75 . (In Chinese)
Editorial Board of Mechanical Engineering Material Performance Data Manual . Mechanical engineering material performance data manual [M]. Beijing : China Machine Press , 1995 : 83-91,178-180,232-236 . (In Chinese)