Lightweight Design of Front Axle Structure of A Certain Type of Automobile
LIChuanqi (Yingkou Institute of Technology), ZOUJian (Yingkou Institute of Technology), ZOUJian (Yingkou Institute of Technology), LIBing (Yingkou Institute of Technology), LIBing (Yingkou Institute of Technology), LEIYiming (Yingkou Institute of Technology), LEIYiming (Yingkou Institute of Technology), ZHANGMingshuo (Yingkou Institute of Technology), ZHANGMingshuo (Yingkou Institute of Technology)
Abstract
In this paper, the front axle of a certain model is taken as the research object, and the stress and deformation of the front axle under three typical working conditions are analyzed by finite element technology.Based on the simulation results, the 3D model of the front axle was optimized, and the finite element analysis of the optimized structure of the front axle under three typical working conditions was carried out to verify the correctness of the model.Finally, the fatigue tool module of ANSYS Workbench was used to analyze the fatigue life of the front axle under the optimized emergency conditions, and the feasibility of the model was verified.The analysis data shows that the design of the front axle components still has a lot of potential for lightweighting, and the weight of the front axle can be reduced by 6.73% through optimization, and the performance of the front axle can also meet the needs of use.The research conclusion has a certain reference value for the lightweight design of automobile front axle.
Keywords
automobile front axle; structural optimization; Fatigue life
References
Lee Y L, Pan J, Hathaway R, etal．Fatigue Testing and Analysis [M]. New York: Elsevier Inc, 2005.
Allegri G,Zhang X．On The Inverse Power Laws for Accelerated Random Fatigue Testing [J]. International Journal of Fatigue, 2008(30):967-977．
Benasciutti D,TovoR．Frequency Based Analysis of Random Fatigue Loads: Models, reality [J]. Material Wissen Schaft and Werk Stoffte Chnik, 2018,3(49):345-367．
Han Q,J Li, J Xu, etal.A New Frequency Domain Method for Random Fatigue Life Estimation in a Wide-band Stationary Gaussian Random Process [J]. Fatigue & Fracture of Engineering Materials & Structures, 2018,42(10-11).
Yuan Y H ,He W M .Based on 3D Virtual Prototype Technology and Finite Element Analysis of the Optimization of the Automobile Front Axle [J]. Applied Mechanics and Materials, 2014,3615(684-684):330-334.
DOI:
https://doi.org/10.33142/mes.v7i1.16752
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