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射流预冷对航空发动机进气温度的特征性分析

冯爽 李宝宽 杨晓晰 谢业平 张海洋

冯爽, 李宝宽, 杨晓晰, 等. 射流预冷对航空发动机进气温度的特征性分析[J]. 航空动力学报, 2024, 39(7):20220131 doi: 10.13224/j.cnki.jasp.20220131
引用本文: 冯爽, 李宝宽, 杨晓晰, 等. 射流预冷对航空发动机进气温度的特征性分析[J]. 航空动力学报, 2024, 39(7):20220131 doi: 10.13224/j.cnki.jasp.20220131
FENG Shuang, LI Baokuan, YANG Xiaoxi, et al. Response surface characteristic analysis of jet precooling on aero-engine inlet temperature[J]. Journal of Aerospace Power, 2024, 39(7):20220131 doi: 10.13224/j.cnki.jasp.20220131
Citation: FENG Shuang, LI Baokuan, YANG Xiaoxi, et al. Response surface characteristic analysis of jet precooling on aero-engine inlet temperature[J]. Journal of Aerospace Power, 2024, 39(7):20220131 doi: 10.13224/j.cnki.jasp.20220131

射流预冷对航空发动机进气温度的特征性分析

doi: 10.13224/j.cnki.jasp.20220131
基金项目: 中央高校基本科研业务费专项基金(N2025013)
详细信息
    作者简介:

    冯爽(1997-),女,硕士生,主要研究领域为多相流热物理。E-mail:475160225@qq.com

    通讯作者:

    李宝宽(1963-),男,教授、博士生导师,博士,主要研究领域为多相流热物理。E-mail:libk@mail.neu.edu.cn

  • 中图分类号: V236

Response surface characteristic analysis of jet precooling on aero-engine inlet temperature

  • 摘要:

    为了研究射流预冷技术对预压段温度场的影响,采用欧拉-拉格朗日方法建立了液滴雾化蒸发过程的三维数学模型。气液两相之间的传质和动量交换是通过双向耦合的方法实现的。通过与已有试验结果的比较,验证了该数学模型的准确性。采用响应面法分析了水气比、喷射速度、液滴尺寸和喷嘴锥角对航空发动机进气温度的影响,建立了四因素三水平响应面法。结果表明:发动机进气空气温度的降温比为3.67%~26.02%。建立了基于多元回归方法的可视化非线性多变量设计优化方程,得到了水气比、喷射速度、液滴尺寸和喷嘴锥角对进气冷却效果的影响。当水气比为0.08、液滴尺寸为10.47 μm、喷射速度为39.52 m/s、喷嘴锥角为24.79°时,发动机最低预压缩冷却段温度为449.60 K。

     

  • 图 1  物理模型及网格划分

    Figure 1.  Physical model and grid division

    图 2  网格无关性验证

    Figure 2.  Grid independence verification

    图 3  不同网格数量在3D截面处的温度分布

    Figure 3.  Temperature distribution of different mesh numbers at 3D section

    图 4  不同截面试验温度和模拟温度的比较

    Figure 4.  Comparison of test temperature and simulated temperature of different sections

    图 5  Box-Behnken组合设计法的实验点分布

    Figure 5.  Distribution of experimental points of Box-Behnken combined design method

    图 6  预测值-实际值、概率-预测值分布图

    Figure 6.  Distribution of residual error and predicted value,predicted value and actual value

    图 7  射流预冷参数对发动机进气温度的交互影响

    Figure 7.  Interaction of jet precooling parameters on engine inlet air temperature

    图 8  射流预冷参数对发动机进气温度的影响

    Figure 8.  Effect of parameters on engine inlet air temperature

    图 9  液滴运动轨迹图和各截面的温度云图

    Figure 9.  Droplet trajectory diagram and temperature cloud diagram of each section

    图 10  不同水气比下出口截面的温度畸变分析图

    Figure 10.  Temperature distortion analysis of outlet section under different water gas ratio

    图 11  不同水气比下不同截面平均温度对比图

    Figure 11.  Comparison diagram of average temperature of different sections under different water gas ratio

    图 12  不同液滴粒径下不同截面平均温度对比图

    Figure 12.  Comparison of average temperature of different sections under different droplet sizes

    表  1  设计因素编码与水平

    Table  1.   Code and level of design factors

    因素变量代号水平值
    −10+1
    水气比X10.020.050.08
    液滴粒径X21055100
    喷射速度X31055100
    喷嘴锥角X4154575
    下载: 导出CSV

    表  2  响应面试验设计和结果

    Table  2.   Response surface test design and results

    试验号水气比液滴粒径/μm喷射速度/(m/s)喷嘴锥角/(°)
    10.02105545
    20.08105545
    30.021005545
    40.081005545
    50.05551015
    60.055510015
    70.05551075
    80.055510075
    90.02555515
    100.08555515
    110.02555575
    120.08555575
    130.05101045
    140.051001045
    150.051010045
    160.0510010045
    170.02551045
    180.08551045
    190.025510045
    200.085510045
    210.05105515
    220.051005515
    230.05105575
    240.051005575
    250.05555545
    260.05555545
    270.05555545
    280.05555545
    290.05555545
    下载: 导出CSV

    表  3  回归方程的方差分析表

    Table  3.   Variance analysis of regression equation

    来源平方和均方误差FP备注
    模型35601.002542.93270.52< 0.0001模型显著
    X121727.6621727.662311.40< 0.0001
    X29855.069855.061048.38< 0.0001
    X31412.571412.57150.27< 0.0001
    X4308.26308.2632.79< 0.0001
    X1X2732.44732.4477.92< 0.0001
    X1X3163.34163.3417.380.0009
    X2X3457.71457.7148.69< 0.0001
    X2X452.0252.025.530.0338
    X3X4100.59100.5910.700.0056
    X12741.86741.8678.92< 0.0001
    X3²64.0464.046.810.0206
    残差131.609.40
    失拟项131.6013.16
    纯误差00
    下载: 导出CSV

    表  4  回归方程误差统计分析

    Table  4.   Statistical analysis of regression equation error

    统计项目数值
    标准偏差3.07
    变异系数0.5771
    精密度64.5877
    多元相关系数0.9963
    调整后的多元相关系数0.9926
    预测的多元相关系数0.9788
    下载: 导出CSV
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  • 收稿日期:  2022-03-15
  • 网络出版日期:  2023-10-17

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