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Load Spectrum Compiling and Fatigue Life Estimation of the Automobile Wheel Hub

Author(s):

Xintian Liu*, Yang Qu, Xiaobing Yang and Yongfeng Shen   Pages 1 - 14 ( 14 )

Abstract:


Background: In the process of high-speed driving, the wheel hub is constantly subjected to the impact load from the ground. Therefore, it is important to estimate the fatigue life of the hub in the design and production process.

Objective: This paper introduces a method to study the fatigue life of car hub based on the road load collected from test site.

Methods: Based on interval analysis, the distribution characteristics of load spectrum are analyzed. The fatigue life estimation of one - dimensional and two - dimensional load spectra is compared by compiling load spectra.

Results: According to the S-N curve cluster and the one-dimensional program load spectrum, the estimated range fatigue life of the hub is 397,100 km to 529,700 km. For unsymmetrical cyclic loading, each level means and amplitude of load were obtained through the Goodman fatigue empirical formula, and then according to S-N curve clusters in the upper and lower curves and two-dimensional program load spectrum, estimates the fatigue life of wheel hub of the interval is 329900 km to 435200 km, than one-dimensional load spectrum fatigue life was reduced by 16.9% - 17.8%.

Conclusion: This paper lays a foundation for the prediction of fatigue life and the bench test of fatigue durability of auto parts subjected to complex and variable random loads. At the same time, the research method can also be used to estimate the fatigue life of other bearing parts or high-speed moving parts and assemblies.

Keywords:

Fatigue, fatigue life, fatigue strength, life prediction, road load spectrum, wheel hub

Affiliation:

School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600,, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600,, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201600,, Mechanics Institute, Shanghai DianJi University, Shanghai 200120



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