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基于RSM的带有热障涂层气膜孔参数优化的数值研究

闫浩楠 张丽 朱惠人 刘存良 何爱杰 刘松

闫浩楠, 张丽, 朱惠人, 等. 基于RSM的带有热障涂层气膜孔参数优化的数值研究[J]. 航空动力学报, 2023, 38(6):1328-1339 doi: 10.13224/j.cnki.jasp.20210295
引用本文: 闫浩楠, 张丽, 朱惠人, 等. 基于RSM的带有热障涂层气膜孔参数优化的数值研究[J]. 航空动力学报, 2023, 38(6):1328-1339 doi: 10.13224/j.cnki.jasp.20210295
YAN Haonan, ZHANG Li, ZHU Huiren, et al. Numerical study on parameter optimization of the film hole with thermal barrier coating based on RSM[J]. Journal of Aerospace Power, 2023, 38(6):1328-1339 doi: 10.13224/j.cnki.jasp.20210295
Citation: YAN Haonan, ZHANG Li, ZHU Huiren, et al. Numerical study on parameter optimization of the film hole with thermal barrier coating based on RSM[J]. Journal of Aerospace Power, 2023, 38(6):1328-1339 doi: 10.13224/j.cnki.jasp.20210295

基于RSM的带有热障涂层气膜孔参数优化的数值研究

doi: 10.13224/j.cnki.jasp.20210295
基金项目: 国家科技重大专项(2017-Ⅲ-0001-0025); 国家科技专项重点基础研究项目(2017-JCJQ-ZD-031-00)
详细信息
    作者简介:

    闫浩楠(1997-),男,硕士生,研究方向为航空发动机高温部件冷却和换热技术

  • 中图分类号: V232.4

Numerical study on parameter optimization of the film hole with thermal barrier coating based on RSM

  • 摘要:

    为解决有涂层时多种因素导致气膜冷效优化计算成本增大的问题,通过Box-Behnken方法合理设计3个吹风比(0.5、1.0和1.5)下,气膜孔流向倾角、长径比和涂层厚度3种参数的耦合模型,利用Realizable k-ε湍流模型进行数值模拟,将模拟结果通过响应面分析法(RSM)得到响应方程,最终通过响应方程预测最优参数。结果表明:孔倾角和涂层厚度为影响有涂层(TBC)气膜孔冷效的主要因素,长径比为影响冷效的次要因素。通过响应方程预测能达到最优气膜冷效时的模型,结果显示优化模型在所研究吹风比范围内气膜冷效相对于参考提升了55.45%~90.95%,响应方程的预测误差范围为2.71%~13.42%,具有较高的准确性。

     

  • 图 1  3阶22 BBD因子设计矩阵

    Figure 1.  Third-order 22 matrix designed by BBD

    图 2  计算模型及孔内几何参数

    Figure 2.  Calculation model and geometric parameters in hole

    图 3  TBC堵塞圆柱型气膜孔的剖视图[11]

    Figure 3.  Section view of TBC blocked cylindrical film hole[11]

    图 4  网格无关性验证

    Figure 4.  Grid independence validation

    图 5  流体域计算网格

    Figure 5.  Fluid domain computing grid

    图 6  计算结果与实验结果对比

    Figure 6.  Comparison of calculation results and experimental results

    图 7  设计结构在3种吹风比下的气膜冷效分布云图

    Figure 7.  Distribution contour of film cooling efficiency under three blow ratios was designed

    图 8  不同孔倾角的面平均气膜冷效

    Figure 8.  Surface average film cooling efficiency with different hole dip angles

    图 9  不同长径比下的面平均冷效

    Figure 9.  Surface average cooling efficiency with different aspect ratios

    图 10  不同热障涂层厚度下的面平均冷效

    Figure 10.  Surface average cooling efficiency with different thermal barrier coating thicknesses

    图 11  M=0.5时双因素交互曲面

    Figure 11.  Two-factor interactive surface when M=0.5

    图 12  M=1.0时双因素交互曲面

    Figure 12.  Two-factor interactive surface when M=1.0

    图 13  M=1.5时双因素交互曲面

    Figure 13.  Two-factor interactive surface when M=1.5

    图 14  优化模型与参考模型不同吹风比下的冷效云图

    Figure 14.  Distribution contour of film cooling efficiency of the optimization model and the reference model with different blowing ratios

    表  1  BBD方法设计的实验工况

    Table  1.   BBD method design of experimental conditions

    工况孔倾角/(°)长径比涂层厚度/mm
    参考451.750.325
    Case 1604.3750.5
    Case 24570.15
    Case 3454.3750.325
    Case 4304.3750.15
    Case 5451.750.15
    Case 6601.750.325
    Case 7454.3750.325
    Case 8451.750.5
    Case 96070.325
    Case 10301.750.325
    Case 11604.3750.15
    Case 12304.3750.5
    Case 134570.5
    Case 143070.325
    Case 15454.3750.325
    下载: 导出CSV

    表  2  各实验工况下游面平均气膜冷效

    Table  2.   Surface average film cooling efficiency of each experimental condition

    工况响应值ηave
    M=0.5M=1.0M=1.5
    参考0.03840.02680.0258
    Case 10.01610.00560.0044
    Case 20.05910.03370.0299
    Case 30.03240.02740.0248
    Case 40.07000.04290.0371
    Case 50.06170.03350.0303
    Case 60.02730.02190.0184
    Case 70.03240.02730.0248
    Case 80.02650.02180.0180
    Case 90.02340.02230.0164
    Case 100.06690.04100.0355
    Case 110.04980.02860.0255
    Case 120.05290.03840.0329
    Case 130.02880.02970.0209
    Case 140.05060.03440.0359
    Case 150.03240.02730.0248
    下载: 导出CSV

    表  3  M=0.5时孔出口下游面平均气膜冷效方差分析

    Table  3.   Variance analysis of surface average film cooling efficiency at the downstream of hole outlet when M=0.5

    方差来源平方和自由度均方P
    模型4174.749463.860.0011
    A(角度)1914.4711914.470.0001
    B(长径比)52.43152.430.147
    C(厚度)1691.311691.30.0002
    AB38.35138.350.2024
    AC69.1169.10.1061
    BC5.8815.880.5908
    A2152.621152.620.0328
    B239.05139.050.1989
    C2261.081261.080.0123
    残差89.15517.83
    失拟项89.15329.72< 0.0001
    纯误差1.67$ \times $10−728.33$ \times $10−8
    总和4263.8814
    下载: 导出CSV

    表  4  M=1.0时孔出口下游面平均气膜冷效方差分析

    Table  4.   Variance analysis of surface average film cooling efficiency at the downstream of hole outlet when M=1.0

    方差来源平方和自由度均方P
    模型1132.226188.70.0005
    A(角度)787.111787.11<0.0001
    B(长径比)0.421710.42170.8558
    C(厚度)242.451242.450.002
    AB11.86111.860.3485
    AC75.6175.60.0361
    BC14.77114.770.2988
    残差95.71811.96
    失拟项95.71615.95< 0.0001
    纯误差6.67$ \times $10−923.33$ \times $10−9
    总和1227.9314
    下载: 导出CSV

    表  5  M=1.5时孔出口下游面平均气膜冷效方差分析

    Table  5.   Variance analysis of surface average film cooling efficiency at the downstream of hole outlet when M=1.5

    方差来源平方和自由度均方P
    模型1133.186188.86< 0.0001
    A(角度)777.511777.51< 0.0001
    A (长径比)0.116210.11620.8265
    A (厚度)295.141295.14< 0.0001
    A1.4711.470.4439
    AC56.19156.190.0011
    BC2.7612.760.3018
    残差18.1382.27
    失拟项18.1363.02< 0.0001
    纯误差1.87$ \times $10−729.33$ \times $10−8
    总和1151.3114
    下载: 导出CSV

    表  6  RSM方法的优化参数与预测值

    Table  6.   Optimized parameters and predicted values with RSM method

    吹风比孔倾角/(°)长径比涂层厚度/mm预测响应值ηave
    M=0.5301.750.150.0832
    M=1.0301.750.150.0436
    M=1.5301.7530.150.0377
    下载: 导出CSV

    表  7  优化结果分析

    Table  7.   Analysis of optimization results

    吹风比参考模型
    冷效值
    优化模型响应
    方程预测值
    优化模型
    计算结果值
    相对于参考值
    的提升/%
    预测误差/%
    M=0.50.03770.08320.072090.9513.42
    M=1.00.02610.04360.043566.642.71
    M=1.50.02510.03770.038754.452.73
    下载: 导出CSV
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  • 收稿日期:  2020-06-10
  • 网络出版日期:  2023-03-29

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