IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1240-d218861.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1240/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/7/1240/
    Download Restriction: no
    ---><---

    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 I: For predicting aerodynamic loads and performance)," Energy, Elsevier, vol. 106(C), pages 443-452.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2017. "Effect of rotor aspect ratio and solidity on a straight-bladed vertical axis wind turbine in three-dimensional analysis by the panel method," Energy, Elsevier, vol. 121(C), pages 1-9.
    2. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    3. Hui Tang & Yulong Lei & Xingzhong Li, 2019. "An Acoustic Source Model for Applications in Low Mach Number Turbulent Flows, Such as a Large-Scale Wind Turbine Blade," Energies, MDPI, vol. 12(23), pages 1-18, December.
    4. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Mori, Naoya, 2017. "Investigation of wake characteristics of a Horizontal Axis Wind Turbine in vertical axis direction with field experiments," Energy, Elsevier, vol. 141(C), pages 262-272.
    5. Ardaneh, Fatemeh & Abdolahifar, Abolfazl & Karimian, S.M.H., 2022. "Numerical analysis of the pitch angle effect on the performance improvement and flow characteristics of the 3-PB Darrieus vertical axis wind turbine," Energy, Elsevier, vol. 239(PD).
    6. Shukla, Vivek & Kaviti, Ajay Kumar, 2017. "Performance evaluation of profile modifications on straight-bladed vertical axis wind turbine by energy and Spalart Allmaras models," Energy, Elsevier, vol. 126(C), pages 766-795.
    7. Bhavsar, Het & Roy, Sukanta & Niyas, Hakeem, 2023. "Aerodynamic performance enhancement of the DU99W405 airfoil for horizontal axis wind turbines using slotted airfoil configuration," Energy, Elsevier, vol. 263(PA).
    8. Antar, E. & Elkhoury, M., 2019. "Parametric sizing optimization process of a casing for a Savonius Vertical Axis Wind Turbine," Renewable Energy, Elsevier, vol. 136(C), pages 127-138.
    9. Zanforlin, Stefania & Deluca, Stefano, 2018. "Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines," Energy, Elsevier, vol. 148(C), pages 179-195.
    10. Wong, Kok Hoe & Chong, Wen Tong & Poh, Sin Chew & Shiah, Yui-Chuin & Sukiman, Nazatul Liana & Wang, Chin-Tsan, 2018. "3D CFD simulation and parametric study of a flat plate deflector for vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 32-55.
    11. Elkhoury, M. & Kiwata, T. & Nagao, K. & Kono, T. & ElHajj, F., 2018. "Wind tunnel experiments and Delayed Detached Eddy Simulation of a three-bladed micro vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 63-74.
    12. Kamada, Yasunari & Li, Qing'an & Maeda, Takao & Yamada, Keisuke, 2019. "Wind tunnel experimental investigation of flow field around two-dimensional single hill models," Renewable Energy, Elsevier, vol. 136(C), pages 1107-1118.
    13. Lidong Zhang & Kaiqi Zhu & Junwei Zhong & Ling Zhang & Tieliu Jiang & Shaohua Li & Zhongbin Zhang, 2018. "Numerical Investigations of the Effects of the Rotating Shaft and Optimization of Urban Vertical Axis Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-25, July.
    14. Tahani, Mojtaba & Rabbani, Ali & Kasaeian, Alibakhsh & Mehrpooya, Mehdi & Mirhosseini, Mojtaba, 2017. "Design and numerical investigation of Savonius wind turbine with discharge flow directing capability," Energy, Elsevier, vol. 130(C), pages 327-338.
    15. Li, Qing'an & Murata, Junsuke & Endo, Masayuki & Maeda, Takao & Kamada, Yasunari, 2016. "Experimental and numerical investigation of the effect of turbulent inflow on a Horizontal Axis Wind Turbine (part II: Wake characteristics)," Energy, Elsevier, vol. 113(C), pages 1304-1315.
    16. Peng, H.Y. & Han, Z.D. & Liu, H.J. & Lin, K. & Lam, H.F., 2020. "Assessment and optimization of the power performance of twin vertical axis wind turbines via numerical simulations," Renewable Energy, Elsevier, vol. 147(P1), pages 43-54.
    17. Lee, Kung-Yen & Tsao, Shao-Hua & Tzeng, Chieh-Wen & Lin, Huei-Jeng, 2018. "Influence of the vertical wind and wind direction on the power output of a small vertical-axis wind turbine installed on the rooftop of a building," Applied Energy, Elsevier, vol. 209(C), pages 383-391.
    18. Lei, Hang & Zhou, Dai & Lu, Jiabao & Chen, Caiyong & Han, Zhaolong & Bao, Yan, 2017. "The impact of pitch motion of a platform on the aerodynamic performance of a floating vertical axis wind turbine," Energy, Elsevier, vol. 119(C), pages 369-383.
    19. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Visualization of the flow field and aerodynamic force on a Horizontal Axis Wind Turbine in turbulent inflows," Energy, Elsevier, vol. 111(C), pages 57-67.
    20. Xu, Wenhao & Li, Gaohua & Zheng, Xiaobo & Li, Ye & Li, Shoutu & Zhang, Chen & Wang, Fuxin, 2021. "High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part I, wind turbines on the side of single building," Renewable Energy, Elsevier, vol. 177(C), pages 461-474.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1240-:d:218861. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.