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

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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
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    References listed on IDEAS

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    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).
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