IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v299y2024ics0360544224011459.html
   My bibliography  Save this article

Numerical study on cooling characteristics of turbine blade based on laminated cooling configuration with clapboards

Author

Listed:
  • Chen, Zhimin
  • Chen, Xuejiao
  • Yang, XuFei
  • Yu, Bo
  • Wang, Bohong
  • Zhu, Jianqin
  • Chen, Yujie
  • Cai, Weihua

Abstract

The double-wall configuration, characterized by its notable overall cooling effectiveness, serves as a pivotal reference configuration in the design of next-generation turbine blades. In this study, a laminated cooling configuration with clapboards is developed, based on insights derived from both double-wall cooling configuration and laminated cooling configuration. Through a comparative analysis, with the double-wall cooling configuration and laminated cooling configuration as benchmarks, the newly constructed configuration is capable of enhancing overall cooling effectiveness while maintaining control over total pressure loss in the study. Specifically, in the context of external film cooling with an adiabatic condition, the laminated cooling configuration with clapboards attains the highest value at low blowing ratios, while the laminated cooling configuration excels in average adiabatic film cooling effectiveness at high blowing ratios. Importantly, the inclusion of clapboards significantly improves the internal heat transfer area, resulting in a greater internal total heat exchange in the laminated cooling configuration with clapboards. Consequently, this proposed configuration achieves the highest overall cooling effectiveness, achieving increases of 9.02%–14.08 % and 2.77 %–3.54 % relative to the double-wall cooling configuration and laminated cooling configuration, respectively. A comprehensive performance evaluation criterion is applied to assess cooling effectiveness and pressure loss. The results indicate that the laminated cooling configuration with clapboards enhances heat transfer effectiveness while effectively controlling pressure drop, with an evaluation value of over 1.0. Furthermore, the overall cooling effectiveness of the three cooling configurations is compared at two Reynolds numbers. It is found that the proposed configuration exhibits the best cooling performance, especially at the high Reynolds number.

Suggested Citation

  • Chen, Zhimin & Chen, Xuejiao & Yang, XuFei & Yu, Bo & Wang, Bohong & Zhu, Jianqin & Chen, Yujie & Cai, Weihua, 2024. "Numerical study on cooling characteristics of turbine blade based on laminated cooling configuration with clapboards," Energy, Elsevier, vol. 299(C).
    • Handle: RePEc:eee:energy:v:299:y:2024:i:c:s0360544224011459
    DOI: 10.1016/j.energy.2024.131372
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224011459
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131372?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. 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. 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. Liang Xu & Zineng Sun & Qicheng Ruan & Lei Xi & Jianmin Gao & Yunlong Li, 2023. "Development Trend of Cooling Technology for Turbine Blades at Super-High Temperature of above 2000 K," Energies, MDPI, vol. 16(2), pages 1-19, January.
    4. Wen Wang & Yan Yan & Yeqi Zhou & Jiahuan Cui, 2022. "Review of Advanced Effusive Cooling for Gas Turbine Blades," Energies, MDPI, vol. 15(22), pages 1-28, November.
    5. Wang, Qi & Yang, Li & Huang, Kang, 2022. "Fast prediction and sensitivity analysis of gas turbine cooling performance using supervised learning approaches," Energy, Elsevier, vol. 246(C).
    6. Ding, Chenwei & Wu, Yuwen & Huang, Yakun & Zheng, Quan & Li, Qun & Xu, Gao & Kang, Chaohui & Weng, Chunsheng, 2023. "Wave mode analysis of a turbine guide vane-integrated rotating detonation combustor based on instantaneous frequency identification," Energy, Elsevier, vol. 284(C).
    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. 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. Li, Haiwang & Wang, Meng & You, Ruquan & Liu, Song, 2023. "Thermal radiation correction formula of the scaling criteria for film cooling of turbine blades," Energy, Elsevier, vol. 282(C).
    4. Zhang, Fan & Liu, Cunliang & Ye, Lin & Ran, Yuan & Zhou, Tianliang & Yan, Haonan, 2024. "Study on the film superposition method for dense multirow film Hole layouts," Energy, Elsevier, vol. 293(C).
    5. Zhang, Yueliang & Li, Jiangheng & Xie, Jin, 2022. "Effects of lateral cooling hole configuration on a swirl-stabilized combustor," Energy, Elsevier, vol. 259(C).
    6. 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.
    7. 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).
    8. Li, Lele & Zhang, Weihao & Li, Ya & Zhang, Ruifeng & Liu, Zongwang & Wang, Yufan & Mu, Yumo, 2024. "A non-parametric high-resolution prediction method for turbine blade profile loss based on deep learning," Energy, Elsevier, vol. 288(C).
    9. Li, Jinxing & Li, Yunzhu & Liu, Tianyuan & Zhang, Di & Xie, Yonghui, 2023. "Multi-fidelity graph neural network for flow field data fusion of turbomachinery," Energy, Elsevier, vol. 285(C).
    10. 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.

    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:299:y:2024:i:c:s0360544224011459. 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.