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Fatigue Life Analysis And Structural Optimization For Vehicle Wheel Hub Bearing

Posted on:2017-03-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y J ShenFull Text:PDF
GTID:2322330509962762Subject:Vehicle Engineering
Abstract/Summary:
The automobile parts industry has been rapidly developed with the increase of domestic automobile production. As the key part of the automobile, the wheel bearing has always been the focus of attention. There is a huge gap between domestic and abroad wheel bearings. Therefore, it is of great significance to the fatigue life analysis and optimization design of the wheel bearing.First, the fatigue life of the wheel bearing is theoretically analyzed. The mechanical analyzing model of the wheel bearing is established based on the static method. The loads distribution of the wheel bearing under combined loads is studied. Besides, the L-P theory is modified by taking the rolling element and raceway into account. The rules of the wheel bearing life in different structure parameters and load parameters are analyzed.Then, the fatigue simulation of the wheel bearing is carried out based on the result of finite element analysis. The 3D model of the wheel bearing is built by Catia. The finite element model is established by Hypermesh, and the mechanical properties of the wheel bearing are calculated by Ansys. Meanwhile, the simulation results are compared with the results tested by the rigid torque testing machine. Then the finite element model is verified. Based on the result of the stress analysis, the fatigue life of the wheel bearing is simulated by nCode DesignLife. The position of the fatigue failure is determined in order to offer reference of further design and optimization.At last, multi-objective optimization for the wheel bearing is conducted. The dynamic capacity and the static capacity are regarded as the objective functions, and main inner structure parameters are chosen as the design variables. The multi-objective particle swarm optimization is used to optimize the structure of the wheel bearing. The optimized results show that, the two target performances of the wheel bearing are improved to varying degrees. Besides, through the finite element simulation, the overall maximum stress and the fatigue life of the wheel bearing are compared with those of the original one to verify the optimized results.
Keywords/Search Tags:wheelbearing, loads distribution, fatigue life, multi-objective optimization, particle swarm optimization
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