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颗粒运动学特性对风扇叶片侵蚀规律影响研究

史磊 卢志强 彭鸿博 袁堂龙 姜琪

史磊, 卢志强, 彭鸿博, 等. 颗粒运动学特性对风扇叶片侵蚀规律影响研究[J]. 航空动力学报, 2026, 41(8):20250025 doi: 10.13224/j.cnki.jasp.20250025
引用本文: 史磊, 卢志强, 彭鸿博, 等. 颗粒运动学特性对风扇叶片侵蚀规律影响研究[J]. 航空动力学报, 2026, 41(8):20250025 doi: 10.13224/j.cnki.jasp.20250025
Shi Lei, Lu Zhiqiang, Peng Hongbo, et al. Study on influence of particle kinematics on fan blade erosion[J]. Journal of Aerospace Power, 2026, 41(8):20250025 doi: 10.13224/j.cnki.jasp.20250025
Citation: Shi Lei, Lu Zhiqiang, Peng Hongbo, et al. Study on influence of particle kinematics on fan blade erosion[J]. Journal of Aerospace Power, 2026, 41(8):20250025 doi: 10.13224/j.cnki.jasp.20250025

颗粒运动学特性对风扇叶片侵蚀规律影响研究

doi: 10.13224/j.cnki.jasp.20250025
基金项目: 中央高校基本科研业务费中国民航大学专项(3122024028)
详细信息
    作者简介:

    史磊(1988-),男,讲师,博士,研究方向为轴流叶轮机械气动热力学。E-mail:lshi@cauc.edu.cn

  • 中图分类号: V231.3

Study on influence of particle kinematics on fan blade erosion

More Information
    Author Bio:

    颗粒物侵蚀最严重的就是叶片前缘部分,前缘变钝不仅严重影响通道内气动损失,还会间接影响颗粒物的侵蚀规律,甚至使叶片进入恶性循环的阶段。因此,部分学者针对钝头前缘形状进行研究,史磊等、彭鸿博等针对航空发动机风扇超声叶型前缘侵蚀造成的性能衰退问题,构造Kriging优化模型。其优化叶型能够改善前缘流动,减弱唇形激波强度。卢志强等通过构造钝头前缘及优化后前缘的方法进行颗粒物侵蚀研究,结果发现:钝头前缘会一定程度上增加颗粒物侵蚀速率,而优化前缘形状后,侵蚀速率出现降低的趋势。他们通过对模型的构造,进一步为颗粒物侵蚀问题提供有力支撑

  • 摘要:

    以高涵道比涡扇发动机风扇增压级部件为研究对象,针对中国西北和东南沿海地区飞机在起降时产生的颗粒侵蚀现象进行模拟研究,采用拉格朗日粒子追踪理论精确抓捕颗粒撞击壁面的位置参数及运动参数。结果发现:西北地区叶片压力面侵蚀速率远高于沿海地区;随转速降低,侵蚀区域扩大并向尾缘延伸,进入内涵道颗粒数量增加,进入外涵道颗粒数量减少,撞击风扇叶片颗粒数量降低,粒径较大的颗粒数量增加或减少幅度更为明显。当全速工况降低至80%转速工况时,西北地区叶片磨损速率降低约49.4%,95%叶高截面最大侵蚀速率降低约54.1%,压力面上颗粒撞击速度下降约7.5%~24.6%;沿海地区叶片磨损速率降低约45.8%,95%叶高截面最大侵蚀速率降低约60.6%,压力面上颗粒撞击速度下降约12.5%~22.9%。

     

  • 图 1  风扇增压级模型

    Figure 1.  Fan booster stage model

    图 2  网格图

    Figure 2.  Grid diagram

    图 3  网格数无关性校验

    Figure 3.  Grid number independence check

    图 4  y+值云图

    Figure 4.  y+ value cloud map

    图 5  入射点数无关性校验

    Figure 5.  Incident point independence check

    图 6  风扇叶片特性曲线

    Figure 6.  Characteristic curve of fan blades

    图 7  颗粒轨迹速度云图

    Figure 7.  Particle trajectory velocity cloud image

    图 8  压力面侵蚀速率云图

    Figure 8.  Erosion rate cloud map of pressure surface

    图 9  入射角度示意图

    Figure 9.  Schematic diagram of incident angle

    图 10  95%叶高截面颗粒平均体积分数

    Figure 10.  Average volume fraction of particles at 95% span cross section

    图 11  压力面附近颗粒平均体积分数

    Figure 11.  Average volume fraction of particles near the pressure surface

    图 12  颗粒滑移速度

    Figure 12.  Particle slip velocity

    图 13  颗粒数量占比

    Figure 13.  Proportion of the number of particles

    图 14  叶片磨损速率

    Figure 14.  Blade wear rate

    图 15  沿叶高面积平均侵蚀速率变化

    Figure 15.  Area-averaged erosion rate changes along leaf height

    图 16  95%叶高截面侵蚀速率

    Figure 16.  Erosion rate of 95% span cross section

    图 17  数据点示意图

    Figure 17.  Schematic diagram of data points

    图 18  西北地区前缘网格点侵蚀数据

    Figure 18.  Erosion data of northwest region at front grid point

    图 19  沿海地区前缘网格点侵蚀数据

    Figure 19.  Erosion data of coastal region at front grid point

    图 20  叶片壁面撞击位置及角度分布

    Figure 20.  Impact position and angle distribution of blade wall

    图 21  西北地区叶片壁面撞击速度分布

    Figure 21.  Impact velocity distribution on blade wall of northwestern region

    图 22  沿海地区叶片壁面撞击速度分布

    Figure 22.  Impact velocity distribution on blade wall of coastal region

    表  1  侵蚀模型数据

    Table  1.   Erosion model data

    参数数值
    k120.05
    V1/(m/s)1 348.93
    V2/(m/s)644.99
    V3/(m/s)625.00
    $ {\theta }_{0} $/(°)30.00
    下载: 导出CSV

    表  2  模型设计参数

    Table  2.   Model design parameter

    参数数值
    设计转速/(r/min)5 175
    进口质量流量/(kg/s)260.24
    等熵效率0.89
    总温比1.17
    总压比1.65
    叶尖间隙/mm0.50
    下载: 导出CSV

    表  3  模型叶片数量

    Table  3.   Number of model blades

    叶片数量
    风扇叶片24
    外涵道导流叶片76
    内涵道导流叶片108
    第一级动/静叶74/136
    第二级动/静叶78/136
    第三级动/静叶74/136
    下载: 导出CSV

    表  4  沙粒粒径分布

    Table  4.   Sand particle size distribution

    沙粒种类粒径范围/μm
    美国标准砂350~700
    塔克拉玛干沙粒150~300
    厦门沙粒300~800
    海南沙粒200~900
    腾格里沙漠沙粒200~500
    下载: 导出CSV

    表  5  侵蚀工况

    Table  5.   Erosion condition

    转速/% 地区 粒径/μm 质量浓度/(mg/m3
    100 西北地区 150~300 17.4
    沿海地区 300~800 2
    80 西北地区 150~300 17.4
    沿海地区 300~800 2
    下载: 导出CSV

    表  6  QAR数据中N1参数

    Table  6.   N1 parameter in QAR data

    阶段时间/s转速/%
    滑出77425±5
    起飞3095±5
    起飞航段895±5
    爬升68692/95/98
    巡航336083±3
    下降279770±10
    进近25340±10
    最终进近18050±3
    着陆3560±10
    滑入42020±3
    下载: 导出CSV
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  • 收稿日期:  2025-01-16
  • 网络出版日期:  2026-05-30

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