梁文宏, 刘凯, 崔亚辉. 基于有限元分析的直齿轮搅油损失计算及实验验证[J]. 工程力学, 2016, 33(5): 220-226. DOI: 10.6052/j.issn.1000-4750.2014.07.0592
引用本文: 梁文宏, 刘凯, 崔亚辉. 基于有限元分析的直齿轮搅油损失计算及实验验证[J]. 工程力学, 2016, 33(5): 220-226. DOI: 10.6052/j.issn.1000-4750.2014.07.0592
LIANG Wen-hong, LIU Kai, CUI Ya-hui. Theoretical calculations and experimental study of spur gears churning power loss based on finite element analysis[J]. Engineering Mechanics, 2016, 33(5): 220-226. DOI: 10.6052/j.issn.1000-4750.2014.07.0592
Citation: LIANG Wen-hong, LIU Kai, CUI Ya-hui. Theoretical calculations and experimental study of spur gears churning power loss based on finite element analysis[J]. Engineering Mechanics, 2016, 33(5): 220-226. DOI: 10.6052/j.issn.1000-4750.2014.07.0592

基于有限元分析的直齿轮搅油损失计算及实验验证

Theoretical calculations and experimental study of spur gears churning power loss based on finite element analysis

  • 摘要: 搅油损失的影响因素包括润滑油的运动粘度、工作温度,齿轮的模数、齿数、齿宽,旋转速度、齿轮的浸油深度,当地重力数值等,多种因素并存且形成了复杂的函数关系,难以直接用理论确定解析解。在对上述各种影响进行分析的基础上使用流体力学中边界层理论对齿轮搅油功率损失进行了理论分析,使用FLUENT软件中的多相流VOF模型、涡流Kε模型对建立的搅油流动偏微分方程进行数值仿真计算分析,最后通过齿轮搅油功率损失实验对仿真结果进行了验证。分析结果表明,在低转速条件下使用仿真计算的方法可以有效地预测搅油功率损失数值。

     

    Abstract: The influencing factors of spur gear churning loss include the kinematical viscosity, peripheral velocity and operating temperature of lubricant, module of gear, number of teeth, gear width, oil immersion depth of gear and local gravity values. The coexistence of these factors forms complex functions, and these functions are difficult to determine a direct analytic solution. For the reason, the theoretical analysis of spur gear churning power loss is carried on by using the boundary layer theory of fluid mechanics based on the partial simplification of above factors, and the churning flow partial differential equations are established. By using the multiphase flow VOF model and eddy current Kε model in FLUENT software, the numerical simulation analysis is carried out. Finally, the simulation results are experimentally verified. The results show that under the condition of low rotation speed, the value of churning power loss can be efficiently predicted by using this simulation method.

     

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