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Particle Image Velocimetry (PIV) Investigation of Blade and Purge Flow Impacts on Inter-Stage Flow Field in a Research Turbine

Author

Listed:
  • Zhenyang Zhang

    (School of Energy and Power Engineering, Beihang University, Beijing 100191, China)

  • Hongwei Ma

    (School of Energy and Power Engineering, Beihang University, Beijing 100191, China
    National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics, Beihang University, Beijing 100191, China)

Abstract

Flow field in the inter-stage is of great importance to jet engine turbine performance and efficiency. Investigation of flow fields is limited by the complex geometrical structure. Traditional measurement techniques, such as hot wire, pressure probe and laser Doppler velocimetry (LDV) can hardly obtain a planar information of the flow field simultaneously. To overcome this difficulty, an instantaneous planar velocimetry technique, the particle image velocimetry (PIV) technique is widely employed. However, there is no publication that studied the detailed flow field by PIV in a turbine inter-stage with the consideration of the influence of rotor blade and purge flow. This paper presents a quasi-three dimensional perspective of flow field between inlet guide vane (IGV) and rotor blade in a research turbine inter-stage by using a 2D PIV system. Coherent structures in the flow field are extracted by the proper orthogonal decomposition (POD) method. Time-averaged results show the ellipsoid structures caused by secondary flow in the inter-stage. Rotor blade influence to axial and radial flow is evaluated by time-averaged data and the first order POD mode. Egress of purge flow (9.4% of main annulus flow rate) leads to a domain with 60% axial velocity loss near hub and a growth over three times in radial velocity. POD analysis of purge flow shows detailed flow migration in the whole measurement plane.

Suggested Citation

  • Zhenyang Zhang & Hongwei Ma, 2019. "Particle Image Velocimetry (PIV) Investigation of Blade and Purge Flow Impacts on Inter-Stage Flow Field in a Research Turbine," Energies, MDPI, vol. 12(7), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1240-:d:218861
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    References listed on IDEAS

    as
    1. Mohammed El-Adawy & Morgan R. Heikal & A. Rashid A. Aziz & Muhammad I. Siddiqui & Shahzad Munir, 2017. "Characterization of the Inlet Port Flow under Steady-State Conditions Using PIV and POD," Energies, MDPI, vol. 10(12), pages 1-16, November.
    2. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Murata, Junsuke & Kawabata, Toshiaki & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2016. "Wind tunnel and numerical study of a straight-bladed Vertical Axis Wind Turbine in three-dimensional analysis (Part II: For predicting flow field and performance)," Energy, Elsevier, vol. 104(C), pages 295-307.
    3. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Murata, Junsuke & Kawabata, Toshiaki & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2016. "Wind tunnel and numerical study of a straight-bladed vertical axis wind turbine in three-dimensional analysis (Part I: For predicting aerodynamic loads and performance)," Energy, Elsevier, vol. 106(C), pages 443-452.
    4. Chao Jin & Hongwei Ma, 2018. "POD Analysis of Entropy Generation in a Laminar Separation Boundary Layer," Energies, MDPI, vol. 11(11), pages 1-18, November.
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