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Investigation on cooling performance, effectiveness prediction and optimization of double-wall structure with shaped film holes

Author

Listed:
  • Qin, Tao-Jie
  • Liu, Fuqiang
  • Wang, Pei
  • Yang, Jinhu
  • He, Ya-Ling

Abstract

Studying the cooling performance and optimization of double-wall structure with shaped film holes is crucial for turbine blade design. This paper investigates the aerothermal performance of double-wall structures with four film hole shapes: cylindrical, fan-shaped, slot and converging slot holes. By analyzing the characteristics of thermal boundary layers, kidney vortices and anti-kidney vortices, the influence of Biot number Bi and coolant mass flow rate m∗ on cooling performance is revealed. It is found that double-wall structure with converging slot holes achieves the highest cooling effectiveness and lowest flow loss. At Bi = 0.36 and m∗ = 10, its averaged overall cooling effectiveness with pin-fins reaches 0.86, which is 39 % higher than that of cylindrical hole structure. The pin-fins enhance cooling performance only at low Bi, with cylindrical hole structure showing the most significant improvement. The double-wall structure with converging slot holes generates anti-kidney vortices, while other structures form only kidney vortices. Both vortex types narrow, elongate and eventually split along the flow direction. A multi-objective optimization method combining principal component analysis and neural network is proposed for cooling effectiveness prediction and optimization in both single-zone and multi-zone configurations. The optimal Bi clusters around 0.09, with m∗ ranging from 4.92 to 45 for single-zone optimization. Multi-zone optimization shows varied Bi and m∗ distributions across regions. The cooling effectiveness distribution on the Pareto front can be accurately predicted within seconds after optimization, with overall prediction accuracy exceeding 99.9 %. These findings provide valuable insights for optimizing double-wall structure.

Suggested Citation

  • Qin, Tao-Jie & Liu, Fuqiang & Wang, Pei & Yang, Jinhu & He, Ya-Ling, 2025. "Investigation on cooling performance, effectiveness prediction and optimization of double-wall structure with shaped film holes," Energy, Elsevier, vol. 337(C).
    • Handle: RePEc:eee:energy:v:337:y:2025:i:c:s0360544225042318
    DOI: 10.1016/j.energy.2025.138589
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    References listed on IDEAS

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    1. Jiang, Chiju & Zhang, Weihao & Li, Ya & Li, Lele & Wang, Yufan & Huang, Dongming, 2023. "Multi-scale Pix2Pix network for high-fidelity prediction of adiabatic cooling effectiveness in turbine cascade," Energy, Elsevier, vol. 265(C).
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    3. Qin, Tao-Jie & Tong, Zi-Xiang & Li, Dong & He, Ya-Ling & Hung, Tzu-Chen, 2024. "Aerothermal performance of cavity tip with flow structure effects in a transonic high-pressure turbine blade," Energy, Elsevier, vol. 291(C).
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