Structural Strength Analysis And Fatigue Life Prediction Of New Mechanical Elastic Wheel

Tire is an important safety component in the vehicle driving system, and the structure performance of tire has an important influence on the safety of the vehicle. In this paper, the structural strength and fatigue life of a new mechanical elastic wheel, as well as the influence of the structure and size factors on the fatigue life of the wheel were studied. The research achievements provide an important reference for the design optimization and application of mechanical elastic wheel.(1)The structure and loading mode of mechanical elastic wheel were discussed in detail, and the geometric model was established by using the three-dimensional modeling software PROE on the basis of reasonable simplifications. The finite element mesh division, material properties and other preprocessing work by ANSYS software were performed. The finite element simulation under radial loading was carried out on the skeleton of mechanical elastic wheel. The comparison between the simulation results and the experimental results verified the correctness of the simplified model of mechanical elastic wheel.(2)The finite element model of fatigue tests was established based on dynamic bending fatigue test of wheel. Sine and cosine load with the same amplitude and frequency were applied to simulate a load cycle process of the wheel skeleton. Based on Miner linear fatigue cumulative damage theory, the fatigue life were predicted. Analysis results show that, the fatigue failures of the wheel skeleton are mainly in connecting parts of flexible ring composite card and hinge group, and the minimum fatigue life of the 12 group hinge wheel is 40.3 thousand times.(3)The influence factors of the fatigue life of mechanical elastic wheel were studied. The results shows that as the number and cross section area of the hinge group increase, the fatigue life increases nonlinearly. With the increase of the actual load, the fatigue life decreases. 12 group hinge wheel was optimized, taking thickness of hub and hinge as the design variables, and minimum weight and maximum fatigue life of mechanical elastic wheel as the design goal. The optimization design of mechanical elastic wheel proceeded by sample selection algorithm, multi-objective genetic algorithm. Fatigue life and weight of optimized mechanical elastic wheel respectively increases by 48.5% and 4.1%.