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低温下高速齿轮传动飞溅润滑特性分析及挡板结构优化

李洛楠 许建民 韩勇 王鹏川 姚栓

李洛楠, 许建民, 韩勇, 等. 低温下高速齿轮传动飞溅润滑特性分析及挡板结构优化[J]. 航空动力学报, 2025, 40(12):20240864 doi: 10.13224/j.cnki.jasp.20240864
引用本文: 李洛楠, 许建民, 韩勇, 等. 低温下高速齿轮传动飞溅润滑特性分析及挡板结构优化[J]. 航空动力学报, 2025, 40(12):20240864 doi: 10.13224/j.cnki.jasp.20240864
LI Luonan, XU Jianmin, HAN Yong, et al. Analysis and optimization of splash lubrication characteristics of high speed gear under low temperature conditions[J]. Journal of Aerospace Power, 2025, 40(12):20240864 doi: 10.13224/j.cnki.jasp.20240864
Citation: LI Luonan, XU Jianmin, HAN Yong, et al. Analysis and optimization of splash lubrication characteristics of high speed gear under low temperature conditions[J]. Journal of Aerospace Power, 2025, 40(12):20240864 doi: 10.13224/j.cnki.jasp.20240864

低温下高速齿轮传动飞溅润滑特性分析及挡板结构优化

doi: 10.13224/j.cnki.jasp.20240864
基金项目: 国家重点研发计划项目(2023YFB3406500)
详细信息
    作者简介:

    李洛楠(1998-),男,硕士生,主要从事高速精密齿轮传动方面的研究。E-mail:qqrwsr@163.com

    通讯作者:

    许建民(1981-),男,副教授,博士,主要从事高速精密齿轮传动方面的研究。E-mail:xujianmin1020@163.com

  • 中图分类号: V233.1

Analysis and optimization of splash lubrication characteristics of high speed gear under low temperature conditions

  • 摘要:

    针对低温工况下高速齿轮传动润滑特性不明确及传统挡板对润滑效果提升有限的问题,开展了高速齿轮传动飞溅润滑特性研究。首先基于计算流体力学理论,建立高速齿轮传动飞溅润滑两相流分析模型,分析了两相流分布特性;然后在此基础上,研究了转动圈数、齿轮转速以及浸油深度对飞溅润滑特性与力矩损失的影响规律;最后提出一种仿生蜂巢挡板结构并采用多岛遗传算法对其结构进行优化。结果表明:在低温工况下的高速齿轮传动飞溅润滑过程中,齿面润滑油的体积分数随着齿轮转速的增加而下降,而随着浸油深度的增加则有所上升;力矩损失随着齿轮转速和浸油深度的增加而增大,其中齿轮转速对力矩损失的影响远大于浸油深度的影响;优化后的仿生蜂巢挡板结构在相同工况下,相较于无挡板,齿面润滑油的平均体积分数提高了68.46%,与原始挡板相比提升了7.88%。研究结果为低温工况下高速齿轮传动两相流分布特性研究及高速齿轮传动飞溅润滑优化设计提供了依据。

     

  • 图 1  飞溅润滑模型二维示意图

    Figure 1.  2D schematic of splash lubrication model

    图 2  飞溅润滑三维模型

    Figure 2.  Three-dimensional model of splash lubrication

    图 3  计算域及网格示意图

    Figure 3.  Schematic diagram of computing domain and grid

    图 4  仿真与实验对比图

    Figure 4.  Comparison between simulation and experiment

    图 5  高速齿轮飞溅润滑过程油气分布

    Figure 5.  Oil and gas distribution during splash lubrication of high speed gears

    图 6  齿轮飞溅润滑过程速度场分布

    Figure 6.  Velocity field distribution of gear splash lubrication process

    图 7  飞溅润滑过程润滑油体积分数

    Figure 7.  Volume fraction of lubricating oil in splash lubrication process

    图 8  润滑油体积分数随齿轮转速变化规律

    Figure 8.  Variation of lubricating oil volume fraction with gear speed

    图 9  润滑油体积分数随浸油深度变化规律

    Figure 9.  Variation of lubricating oil volume fraction with immersion depth

    图 10  飞溅润滑过程力矩损失

    Figure 10.  Torque loss during splash lubrication

    图 11  力矩损失随齿轮转速变化规律

    Figure 11.  Variation of torque loss with gear speed

    图 12  力矩损失随浸油深度变化规律

    Figure 12.  Variation of torque loss with immersion depth

    图 13  自然界中的蜂巢

    Figure 13.  Honeycomb in nature

    图 14  仿生蜂巢挡板结构示意图

    Figure 14.  Schematic diagram of bionic honeycomb baffle structure

    图 15  仿生蜂巢挡板位置示意图

    Figure 15.  Schematic diagram of the location of the bionic honeycomb baffle

    图 16  算法优化流程

    Figure 16.  Algorithm optimization process

    图 17  仿生蜂巢挡板设计变量尺寸图

    Figure 17.  Bionic honeycomb baffle design variable size diagram

    图 18  润滑油平均体积分数的Pareto图

    Figure 18.  Pareto plot of average volume fraction of lubricating oil

    图 19  平均体积分数实际值与预测值关系图

    Figure 19.  Relationship between actual and predicted values of average volume fraction

    图 20  优化过程中迭代曲线

    Figure 20.  Iterative curve during optimization process

    图 21  高速齿轮飞溅润滑两相流分布

    Figure 21.  Two-phase flow distribution of splash lubrication for high-speed gears

    图 22  齿轮及轴向截面润滑油体积分数云图

    Figure 22.  Cloud diagram of lubricating oil volume fraction of gear and axial section before and after optimization

    表  1  齿轮及箱体参数

    Table  1.   Gear and box parameters

    参数数值
    主动轮齿数20
    从动轮齿数40
    模数/mm3
    压力角/(°)20
    齿宽/mm12
    箱体长度/mm240
    箱体宽度/mm80
    箱体高度/mm160
    下载: 导出CSV

    表  2  设计变量取值范围

    Table  2.   Value range of design variables mm

    设计变量 原始值 设计变量取值范围
    $ {l}_{1} $ 190 (180, 200)
    $ {l}_{2} $ 135 (130, 140)
    $ h $ 9 (8, 10)
    $ r $ 4 (3, 5)
    下载: 导出CSV

    表  3  部分设计实验样本点及结果

    Table  3.   Sample points and results of partial design experiment

    序号 $ {l}_{1}/ $mm $ {l}_{2}/ $mm $ h/ $mm $ r/ $mm 体积分数
    1 198.46 135.64 8.46 4.17 0.0208
    2 190.77 139.23 9.48 4.74 0.02180
    3 18.59 134.36 9.84 3.82 0.0213
    4 19.85 137.69 8.05 3.46 0.0212
    5 187.18 139.49 9.53 3.71 0.0212
    6 195.38 138.97 8.56 4.84 0.0214
    7 181.03 1.08 8.71 3.61 0.0197
    8 187.69 130.51 8.35 3.30 0.0192
    9 185.13 131.03 9.43 3.25 0.0194
    10 197.44 137.18 8.92 3.10 0.0196
    $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $
    36 18.56 134.1 8.25 4.53 0.0211
    37 200 1.31 9.12 4.69 0.0200
    38 194.87 139.74 8.87 3.92 0.0208
    39 195.38 131.54 9.23 3 0.0192
    40 184.1 137.44 8.82 5 0.0213
    下载: 导出CSV

    表  4  多岛遗传算法参数设置

    Table  4.   Parameter settings for multi island genetic algorithm

    参数数值
    子群规模15
    岛数10
    遗传代数10
    交叉率1
    变异率0.01
    迁移率0.01
    下载: 导出CSV

    表  5  挡板参数优化结果

    Table  5.   Optimization results of baffle parameters

    参数数值
    l1/mm188.89
    l2/mm137.22
    h/mm9.99
    r/mm4.56
    预测值0.0225
    仿真值0.0219
    下载: 导出CSV

    表  6  模型平均体积分数对比

    Table  6.   Comparison of model average volume fraction

    模型平均体积分数润滑效果改进率/%
    无挡板0.013
    原始挡板0.020356.15
    最优挡板0.021968.46
    下载: 导出CSV
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  • 收稿日期:  2024-12-31
  • 网络出版日期:  2025-04-18

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