The non-linear factors, such as contact nonlinearity and geometric nonlinearity,existing in leaf springs multiply difficulties in its model establish and performance analysis. Based on nonlinearity contact dynamics theories and CAD/CAE technologies, this paper proposes a method for this kind of problem.
Firstly, according to the nonlinearity contact dynamics theory, this paper analyzed the contact and friction between spring-leaves and proposed a modeling method based on the contact analysis between spring- leaves. Combined the finitee lement method with the multi-body dynamics, the contact andfrictionparameters were obtained by introducing the small-population genetic algorithm. Then established a leaf spring's multi-body dynamics model for a heavy truck.
Secondly, the stiffness characteristic simulation analysis was implemented to theleaf spring. According to the conditions in staging testing for vehicle's leaf spring,the stiffness value was obtained after a stiffness characteristic test for a heavy truck'sbalanced suspension. The feasibility and the credibility of this model are proved, bycomparing the testing results and the simulation results of the case, which showed that the testing curve accords with simulation curve basically and its relatively erroris 0.79%. When compared to discrete beam element model, the model presented in this paper proved to have a better accuracy.
Thirdly, a simplified rigid-flexible multi-body dynamics model for a heavy truck was set up, in which the leaf springs were modeled by flexible bodies. The model's ride performance under pulse input and static roll stability were simulated. Then the same items were tested in a road testing for the data and curves in real working condition. Comparison between simulation results and testing results indicated that the results were valid, because the testing curve accorded with simulation curve basically. Besides, the maximum relatively error in ride performance under pulse
input analysis was 9.79% and the maximum relatively error in static roll stability analysis was 4.75%. Therefore, it is proved that the modeling method presented in this paper is accurate and effective.
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