IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v220y2021ics0360544220328012.html
   My bibliography  Save this article

Large eddy simulation of a linear turbine cascade with a trailing edge cutback

Author

Listed:
  • Moriguchi, Shota
  • Miyazawa, Hironori
  • Furusawa, Takashi
  • Yamamoto, Satoru

Abstract

In this work, the effects of trailing edge (TE) cutback on the turbulent flow field and the aerodynamic loss of a turbine blade are investigated by Large-Eddy-Simulation (LES). A high-fidelity LES code was first developed based on a high-order finite difference method and applied to the simulation. The effects of the TE cutback on the blade surface boundary layer, pressure distribution, and loss generation are then discussed on the basis of time-mean flow fields of LES. The results represent that the cutback changed the boundary layer thickness just upstream of the TE and the base pressure around the TE, resulting in larger aerodynamic loss. Next, the time-dependent flow dynamics in the cascade is investigated. The results indicate that the dominant pressure fluctuation after the blade was influenced by the cutback. Furthermore, the phase-locked flow field is analyzed to reveal the flow dynamics responsible for the pressure fluctuation. Finally, the LES approach could clarify the underlying mechanisms of performance degradation of a turbine blade that caused by TE cutback.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:220:y:2021:i:c:s0360544220328012
    DOI: 10.1016/j.energy.2020.119694
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220328012
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.119694?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yamamoto, Satoru & Uemura, Akihiro & Miyazawa, Hironori & Furusawa, Takashi & Yonezawa, Koichi & Umezawa, Shuichi & Ohmori, Shuichi & Suzuki, Takeshi, 2020. "A numerical and analytical coupling method for predicting the performance of intermediate-pressure steam turbines in operation," Energy, Elsevier, vol. 198(C).
    2. Chung, Heeyoon & Sohn, Ho-Seong & Park, Jun Su & Kim, Kyung Min & Cho, Hyung Hee, 2017. "Thermo-structural analysis of cracks on gas turbine vane segment having multiple airfoils," Energy, Elsevier, vol. 118(C), pages 1275-1285.
    3. Cai, Liuxi & Xiao, Junfeng & Wang, Shunsen & Gao, Song & Duan, Jingyao & Mao, Jingru, 2017. "Gas-particle flows and erosion characteristic of large capacity dry top gas pressure recovery turbine," Energy, Elsevier, vol. 120(C), pages 498-506.
    4. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.

    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. Qian, Xiaoru & Yan, Peigang & Wang, Xiangfeng & Han, Wanjin, 2023. "Effect of thermal barrier coatings and integrated cooling on the conjugate heat transfer and thermal stress distribution of nickel-based superalloy turbine vanes," Energy, Elsevier, vol. 277(C).
    2. Peng Guan & Yan-Ting Ai & Cheng-Wei Fei, 2019. "An Enhanced Flow-Thermo-Structural Modeling and Validation for the Integrated Analysis of a Film Cooling Nozzle Guide Vane," Energies, MDPI, vol. 12(14), pages 1-20, July.
    3. Wang, Yuqi & Du, Qiuwan & Li, Yunzhu & Zhang, Di & Xie, Yonghui, 2022. "Field reconstruction and off-design performance prediction of turbomachinery in energy systems based on deep learning techniques," Energy, Elsevier, vol. 238(PB).
    4. Li, Jinxing & Liu, Tianyuan & Zhu, Guangya & Li, Yunzhu & Xie, Yonghui, 2023. "Uncertainty quantification and aerodynamic robust optimization of turbomachinery based on graph learning methods," Energy, Elsevier, vol. 273(C).
    5. Sheng Yin & Jimin Ni & Houchuan Fan & Xiuyong Shi & Rong Huang, 2022. "A Study of Evaluation Method for Turbocharger Turbine Based on Joint Operation Curve," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    6. Yao, Liming & Liu, Yuxi & Xiao, Zhongmin & Chen, Yang, 2023. "An algorithm combining sedimentation experiments for pipe erosion investigation," Energy, Elsevier, vol. 270(C).
    7. Wang, Xing & Zhang, Xuehui & Zhu, Yangli & Zhang, Xinjing & Li, Wen & Chen, Haisheng, 2019. "Effect of blade tip leakage flow on erosion of a radial inflow turbine for compressed air energy storage system," Energy, Elsevier, vol. 178(C), pages 195-206.
    8. Zhang, Jiankun & Liu, Haihu, 2023. "Effect of solid particles on performance and erosion characteristics of a high-pressure turbine," Energy, Elsevier, vol. 272(C).
    9. Haiwang Li & Dawei Zhang & Ruquan You & Yifan Zou & Song Liu, 2023. "Numerical Investigation of the Effects of the Hole Inclination Angle and Blowing Ratio on the Characteristics of Cooling and Stress in an Impingement/Effusion Cooling System," Energies, MDPI, vol. 16(2), pages 1-25, January.
    10. Zhang, Yueliang & Li, Jiangheng & Xie, Jin, 2022. "Effects of lateral cooling hole configuration on a swirl-stabilized combustor," Energy, Elsevier, vol. 259(C).
    11. Tian, Ke & Wang, Jin & Liu, Chao & Yang, Li & Sundén, Bengt, 2018. "Effect of blockage configuration on film cooling with and without mist injection," Energy, Elsevier, vol. 153(C), pages 661-670.
    12. Kumar, Dinesh & Bahauddin Alam, Syed & Ridwan, Tuhfatur & Goodwin, Cameron S., 2021. "Quantitative risk assessment of a high power density small modular reactor (SMR) core using uncertainty and sensitivity analyses," Energy, Elsevier, vol. 227(C).
    13. Wang, Qi & Yang, Li & Rao, Yu, 2021. "Establishment of a generalizable model on a small-scale dataset to predict the surface pressure distribution of gas turbine blades," Energy, Elsevier, vol. 214(C).
    14. Kumar, Manoj & Behera, Suraj K. & Kumar, Amitesh & Sahoo, Ranjit K., 2019. "Numerical and experimental investigation to visualize the fluid flow and thermal characteristics of a cryogenic turboexpander," Energy, Elsevier, vol. 189(C).
    15. 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).
    16. 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.
    17. Cao, Li-hua & Liu, Shuang & Li, Yan-chao & Si, He-yong, 2020. "Influence of valve governing mode on solid particle erosion and efficiency in governing stage of steam turbine," Energy, Elsevier, vol. 191(C).
    18. Li, Jinxing & Liu, Tianyuan & Wang, Yuqi & Xie, Yonghui, 2022. "Integrated graph deep learning framework for flow field reconstruction and performance prediction of turbomachinery," Energy, Elsevier, vol. 254(PC).
    19. McKeand, Austin M. & Gorguluarslan, Recep M. & Choi, Seung-Kyum, 2021. "Stochastic analysis and validation under aleatory and epistemic uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    20. Cao, Bo & Cui, Weijie & Chen, Chao & Chen, Yixue, 2020. "Development and uncertainty analysis of radionuclide atmospheric dispersion modeling codes based on Gaussian plume model," Energy, Elsevier, vol. 194(C).

    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:eee:energy:v:220:y:2021:i:c:s0360544220328012. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.