發(fā)布時間：2018-06-13 10:54

  本文選題：輪轂軸承 + 載荷分布��； 參考：《南京航空航天大學》2016年碩士論文

【摘要】：隨著國內汽車產量的增加,汽車零部件行業(yè)迅猛發(fā)展。輪轂軸承作為汽車關鍵的零部件之一,一直是人們關注的重點。國內的輪轂軸承和國外的相比,還有很大的差距。因此,對其開展疲勞壽命分析以及結構優(yōu)化設計有著重要的意義。本文首先對輪轂軸承疲勞壽命進行了理論分析。采用靜力學法,建立輪轂軸承力學分析模型,研究了在徑向、軸向以及力矩載荷聯(lián)合作用下的輪轂軸承的內部載荷分布。此外,綜合考慮滾動體和滾道的影響,基于修正的Lundberg-Palmgren理論,分析了不同的載荷參數以及結構參數對輪轂軸承疲勞壽命的影響規(guī)律。然后,基于有限元分析結果,對輪轂軸承進行了疲勞壽命仿真分析。在Catia中建立了輪轂軸承三維模型,采用Hypermesh和ANSYS對輪轂軸承進行有限元建模,并展開了力學性能分析。同時,根據力矩剛性試驗,將仿真結果和試驗結果進行對比,驗證了有限元模型的正確性。在此基礎上,利用應力分析結果,采用nCode DesignLife對輪轂軸承進行了疲勞壽命仿真分析,確定了容易發(fā)生疲勞失效的部位,為進一步的設計與優(yōu)化提供了參考。最后,對輪轂軸承進行多目標優(yōu)化設計。選取額定動載荷與額定靜載荷作為目標函數,以輪轂軸承主要內部結構參數為設計變量,采用多目標粒子群算法(MOPSO)對輪轂軸承進行了結構優(yōu)化設計。優(yōu)化結果表明,各目標性能指標都得到了不同程度的提升。此外,通過有限元仿真對輪轂軸承優(yōu)化前后的疲勞壽命以及應力分布進行對比,驗證了優(yōu)化結果的有效性。
[Abstract]:With the increase of domestic automobile output, auto parts industry develops rapidly. As one of the key parts of automobile, hub bearing has always been the focus of attention. Domestic hub bearings and foreign comparison, there is a big gap. Therefore, it is of great significance to carry out fatigue life analysis and structural optimization design. In this paper, the fatigue life of hub bearing is analyzed theoretically. The mechanical analysis model of hub bearing is established by statics method. The internal load distribution of hub bearing under the combined action of radial axial and torque loads is studied. In addition, based on the modified Lundberg-Palmgren theory, the effects of different load parameters and structural parameters on the fatigue life of hub bearings are analyzed. Then, based on the results of finite element analysis, the fatigue life of hub bearing is simulated. The three-dimensional model of hub bearing is established in Catia. The finite element model of hub bearing is modeled by HyperMesh and ANSYS, and the mechanical properties are analyzed. At the same time, the correctness of the finite element model is verified by comparing the simulation results with the experimental results according to the moment rigidity test. Based on the results of stress analysis, the fatigue life of hub bearing is simulated by nCode Design Life, and the position of fatigue failure is determined, which provides a reference for further design and optimization. Finally, the multi-objective optimization design of hub bearing is carried out. Selecting rated dynamic load and rated static load as objective function and taking the main internal structure parameters of hub bearing as design variables, multi-objective particle swarm optimization algorithm (MOPSO) is used to optimize the structure of hub bearing. The optimization results show that each target performance index has been improved to varying degrees. In addition, the fatigue life and stress distribution of hub bearing before and after optimization are compared by finite element simulation, which verifies the effectiveness of the optimization results.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：U463.343

【參考文獻】

相關期刊論文 前4條

1 李佳琪;王曉紅;孫軍;;粒子群算法參數選擇對動壓滑動軸承優(yōu)化設計的影響[J];機械設計;2014年03期

2 王偉;林h，

本文編號：2013786