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Direct Numerical Simulations of Turbulent Flow over Low-Pressure Turbine Blades with Aeroelastic Vibrations and Inflow Wakes

Author

Listed:
  • Mahdi Erfanian Nakhchi

    (Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne NE1 8ST, UK)

  • Shine Win Naung

    (Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne NE1 8ST, UK)

  • Mohammad Rahmati

    (Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne NE1 8ST, UK)

Abstract

In the present work, direct numerical simulation is employed to investigate the unsteady flow characteristics and energy performance of low-pressure turbines (LPT) by considering the blades aeroelastic vibrations and inflow wakes. The effects of inflow disturbance (0 < φ < 0.91) and reduced blade vibration (0 < f < 250 Hz) on the turbulent flow behavior of LPTs are investigated for the first time. The transient governing equations on the vibrating blades are modelled by the high-order spectral/hp element method. The results revealed that by increasing the inflow disturbances, the separated bubbles tend to shrink, which has a noticeable influence on the pressure in the downstream region. The maximum wake loss value is reduced by 16.4% by increasing the φ from 0.31 to 0.91. The flow separation is majorly affected by inflow wakes and blade vibrations. The results revealed that the maximum pressure coefficient in the separated flow region of the vibrating blade has been increased by 108% by raising φ from 0 to 0.91. The blade vibration further intensifies the vortex generation process, adding more energy to the flow and the downstream vortex shedding. The vortex generation and shedding are intensified on the vibrating blade compared to the non-vibrating one that is subject to inflow wakes. The results and findings from this paper are also useful for the design and modeling of turbine blades that are prone to aeroelastic instabilities, such as large offshore wind turbine blades.

Suggested Citation

  • Mahdi Erfanian Nakhchi & Shine Win Naung & Mohammad Rahmati, 2023. "Direct Numerical Simulations of Turbulent Flow over Low-Pressure Turbine Blades with Aeroelastic Vibrations and Inflow Wakes," Energies, MDPI, vol. 16(6), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2803-:d:1100449
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    References listed on IDEAS

    as
    1. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2020. "Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(3), pages 1-20, January.
    2. Moriguchi, Shota & Miyazawa, Hironori & Furusawa, Takashi & Yamamoto, Satoru, 2021. "Large eddy simulation of a linear turbine cascade with a trailing edge cutback," Energy, Elsevier, vol. 220(C).
    3. Nakhchi, M.E. & Naung, S. Win & Rahmati, M., 2022. "Influence of blade vibrations on aerodynamic performance of axial compressor in gas turbine: Direct numerical simulation," Energy, Elsevier, vol. 242(C).
    4. Han, Wanlong & Zhang, Yifan & Li, Hongzhi & Yao, Mingyu & Wang, Yueming & Feng, Zhenping & Zhou, Dong & Dan, Guangju, 2019. "Aerodynamic design of the high pressure and low pressure axial turbines for the improved coal-fired recompression SCO2 reheated Brayton cycle," Energy, Elsevier, vol. 179(C), pages 442-453.
    5. Nakhchi, M.E. & Naung, S. Win & Rahmati, M., 2021. "High-resolution direct numerical simulations of flow structure and aerodynamic performance of wind turbine airfoil at wide range of Reynolds numbers," Energy, Elsevier, vol. 225(C).
    6. Niels Pynaert & Thomas Haas & Jolan Wauters & Guillaume Crevecoeur & Joris Degroote, 2023. "Wing Deformation of an Airborne Wind Energy System in Crosswind Flight Using High-Fidelity Fluid–Structure Interaction," Energies, MDPI, vol. 16(2), pages 1-16, January.
    7. Ali Awada & Rafic Younes & Adrian Ilinca, 2021. "Review of Vibration Control Methods for Wind Turbines," Energies, MDPI, vol. 14(11), pages 1-35, May.
    8. M. Salman Siddiqui & Eivind Fonn & Trond Kvamsdal & Adil Rasheed, 2019. "Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems," Energies, MDPI, vol. 12(7), pages 1-23, April.
    9. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
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