Volume 39 Issue 8
Aug.  2024
Turn off MathJax
Article Contents
LI Xiangjun, LU Qing, YOU Fuhao, et al. Qualitative influence of blade machining deviation on cascade critical angle of attack[J]. Journal of Aerospace Power, 2024, 39(8):20220202 doi: 10.13224/j.cnki.jasp.20220202
Citation: LI Xiangjun, LU Qing, YOU Fuhao, et al. Qualitative influence of blade machining deviation on cascade critical angle of attack[J]. Journal of Aerospace Power, 2024, 39(8):20220202 doi: 10.13224/j.cnki.jasp.20220202

Qualitative influence of blade machining deviation on cascade critical angle of attack

doi: 10.13224/j.cnki.jasp.20220202
  • Received Date: 2022-04-11
    Available Online: 2023-01-04
  • In order to study the relationship between blade machining deviation and compressor stability, and establish the quantitative correlation between common machining accuracy and compressor working range, the middle section of two-stage stator blades of multi-stage high-load axial compressor was taken initially as the research object, a reduced order model of blade surface geometric uncertainty was constructed, and the deviation blade profile database under three kinds of common machining accuracy was generated. Combined with the relationship between the neural network prediction uncertainty input variables and the range of critical cascade angle of attack, pseudo-Monte Carlo method was used to generate a large number of samples and carry out statistical analysis. The results showed that, compared with the prototype, the introduction of machining deviation decreased the cascade positive critical angle of attack, and increased the negative critical angle of attack. Therefore, the range of critical angle of attack decreased, and the aerodynamic performance deteriorated more than the prototype. Taking the positive critical angle of attack as an example, when the machining accuracy increased from level 2 to level 1, the mean value of the positive critical angle of attack decreased from 7.4858° to 7.5571°, and the sensitive part of the blade changed from the whole blade area to the leading edge and the front half chord length, and the influence trend of the increase or decrease of the profile on the critical Angle of attack also changed. Given the statistical quantification from above analysis results, the research conclusions could provide a theoretical basis for the design and optimization of 3D cascades or compressor rotors in the future, thus further saving the machining cost.

     

  • loading
  • [1]
    郭正涛,楚武利,姬田园,等. 端壁倒圆半径误差对高负荷静叶栅性能影响的不确定性分析[J]. 航空动力学报,2021,36(10): 2173-2185.

    GUO Zhengtao,CHU Wuli,JI Tianyuan,et al. Uncertainty analysis of the effect of endwall radius error on the performance of high load static cascade[J]. Journal of Aerospace Power,2021,36(10): 2173-2185. (in Chinese)
    [2]
    郭正涛,楚武利,晏松,等. 加工误差对压气机叶栅气动性能及稳定性影响的数据挖掘[J]. 推进技术,2022,43(3): 133-145. doi: 10.13675/j.cnki.tjjs.200576

    GUO Zhengtao,CHU Wuli,YAN Song,et al. Data mining of influence of machining error on aerodynamic performance and stability of compressor Cascade[J]. Propulsion Technology,2022,43(3): 133-145. (in Chinese) doi: 10.13675/j.cnki.tjjs.200576
    [3]
    GARZON V E, DARMOFAL D L. On the aerodynamic design of compressor airfoils for robustness under geometric uncertainty[C]// ASME Turbo Expo 2004: Power for Land, Sea, and Air. Vienna, Austria: ASME, 2004: 191-202.
    [4]
    ROELKE R J,HAAS J E. The effect of rotor blade thickness and surface finish on the performance of a small axial flow turbine[J]. Journal of Engineering for Power,1983,105(2): 377-382. doi: 10.1115/1.3227426
    [5]
    刘业胜,曹玮,郭福水,等. 钛合金空心风扇叶片加工误差对其性能影响的初步分析[J]. 航空制造技术,2013(16): 58-64. doi: 10.3969/j.issn.1671-833X.2013.16.010

    LIU Yesheng,CAO Wei,GUO Fushui,et al. Preliminary analysis of the effect of machining error on performance of hollow fan blade of titanium alloy[J]. Aeronautical Manufacturing Technology,2013(16): 58-64. (in Chinese) doi: 10.3969/j.issn.1671-833X.2013.16.010
    [6]
    AHLFELD R, MONTOMOLI F. A single formulation for uncertainty propagation in turbomachinery: SAMBA PC[R]. ASME Paper GT-2016-56573, 2016.
    [7]
    AHLFELD R. A data-driven uncertainty quantification method for scarce data and rare events[D]. London: Aeronautical Engineering of Imperial College, 2017.
    [8]
    VOIGT P, HÖGNER L, FIEDLER B, et al. Comprehensive geometric description of manufacturing scatter of high pressure turbine nozzle guide vanes for probabilistic CFD analysis[R]. ASME Paper GT-2018 -76723, 2018.
    [9]
    JAN K,IVAN V,TOAL D J,et al. Robust turbine blade optimization in the face of real geometric variations[J]. Journal of Propulsion and Power,2018,34(6): 1479-1493. doi: 10.2514/1.B37091
    [10]
    RAZAALY N,PERSICO G,CONGEDO P M. Impact of geometric, operational, and model uncertainties on the nonIdeal flow through a supersonic ORC turbine cascade[J]. Energy,2019,169: 213-227. doi: 10.1016/j.energy.2018.11.100
    [11]
    颜勇,祝培源,宋立明,等. 基于非平稳高斯过程的叶栅加工误差不确定性量化[J]. 推进技术,2017,38(8): 1767-1775.

    YAN Yong,ZHU Peiyuan,SONG Liming,et al. Uncertainty quantization of cascade machining error based on non-stationary Gaussian process[J]. Journal of Propulsion Technology,2017,38(8): 1767-1775. (in Chinese)
    [12]
    LUO J Q,LIU F. Statistical evaluation of performance impact of manufacturing variability by an adjoint method[J]. Aerospace Science and Technology,2018,77: 471-484. doi: 10.1016/j.ast.2018.03.030
    [13]
    WANG X J,ZOU Z P. Uncertainty analysis of impact of geometric variations on turbine blade performance[J]. Energy,2019,176: 67-80. doi: 10.1016/j.energy.2019.03.140
    [14]
    刘佳鑫,于贤君,孟德君,等. 高压压气机出口级叶型加工偏差特征及其影响[J]. 航空学报,2021,42(2): 348-364.

    LIU Jiaxin,YU Xianjun,MENG Dejun,et al. Characteristics and influence of machining deviation of outlet profile of high pressure compressor[J]. Acta Aeronautica et Astronautica Sinica,2021,42(2): 348-364. (in Chinese)
    [15]
    GARZON V E. Probability aerothermal design of compressor airfoils[D]. Cambridge, Massachusetts: Massachusetts Institute of Technology, 2003.
    [16]
    CHEN H, WANG Q, HU R, et al. Conditional sampling and experiment design for quantifying manufacturing error of transonic airfoil[R]. AIAA-2011-658, 2011.
    [17]
    蔡雨桐,高丽敏,马驰,等. 基于NIPC的压气机叶片加工偏差不确定性分析[J]. 工程热物理学报,2017,38(3): 490-497.

    CAI Yutong,GAO Limin,MA Chi,et al. Uncertainty analysis of compressor blade machining deviation based on NIPC[J]. Journal of Engineering Thermophysics,2017,38(3): 490-497. (in Chinese)
    [18]
    高丽敏,蔡雨桐,徐浩亮,等. 压气机叶片加工偏差影响不确定分析[J]. 航空动力学报,2017,32(9): 2253-2259.

    GAO Limin,CAI Yutong,XU Haoliang,et al. Uncertainty analysis of influence of compressor blade machining deviation[J]. Journal of Aerospace Power,2017,32(9): 2253-2259. (in Chinese)
    [19]
    JU Y P,LIU Y M,JIANG W,et al. Aerodynamic analysis and design optimization of a centrifugal compres-sor impeller considering realistic manufacturing uncertain-ties[J]. Aerospace Science and Technology,2021,115(10): 1-16.
    [20]
    MA Yuchen, TENG Jinfang, ZHU Mingmin, et al. Non-axiaymmetric endwall contouring in a linear compressor cascade [C]// ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. New York: ASME, 2020: 5-8.
    [21]
    GOODHAND M N, MILLER R J, LUNG H W. The sensitivity of 2D compressor incidence range to in-service geometric variation[C]//ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. New York: ASME, 2012: 159-170.
    [22]
    CHU W,LI X,WU Y,et al. Reduction of end wall loss in axial compressor by using non-axisymmetric profiled end wall: A new design approach based on end wall velocity modification[J]. Aerospace Science and Technology,2016,55: 76-91. doi: 10.1016/j.ast.2016.05.011
    [23]
    李相君,董杰忠,崔义强,等. 扩压叶栅角区-吸力面造型设计及流动控制机理[J]. 航空动力学报,2020,35(12): 2642-2653.

    LI Xiangjun,DONG Jiezhong,CUI Yiqiang,et al. Modeling design of suction surface and flow control mechanism of diffuser cascade[J]. Journal of Aerospace Power,2020,35(12): 2642-2653. (in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (74) PDF downloads(22) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return