A solution-propagation-based two-scale framework towards high-fidelity, low-computational-cost modelling of film cooling applications

Jiazheng Fan, Penghao Duan*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Downloads (CityUHK Scholars)

Abstract

The computational fluid dynamics (CFD) simulation for film cooling applications is a complex multi-scale problem that often requires substantial, if not prohibitive, computational resources. The mesh resolution in the cooling domain must be sufficiently refined to capture the high-gradient flow resulting from the interactions between the coolant and the main flow. To address the length-scale disparity inherent in such applications, a two-scale method has been proposed, demonstrating the potential for high-fidelity, low-computational-cost simulations, particularly in cases involving a large number of cooling holes. This method utilizes the source terms mapped from the fine mesh domain to augment the governing equations in the coarse mesh domain, thereby reproducing the well-resolved solution within the coarse domain. However, the original two-scale method relies on propagated source terms as mapped variables, which can encounter challenges at the interface. In this study, the spatially averaged solutions are propagated from the fine mesh domains to the coarse mesh domains. The source terms are then locally evaluated in the coarse mesh using these mapped solutions. The advantages of propagating solution over propagating source terms are analysed theoretically. The two-scale framework is implemented in the open-source code SU2, which is validated on different flat plate film cooling configurations and extended to the film-cooled high-pressure turbine vane C3X. It is also found that the present method can correctly reproduce the cooling flow injection without cooling holes when appropriate boundary treatment is specified. The relevant results show that the current two-scale method holds significant potential for film cooling applications, offering high fidelity at a substantially lower computational cost. © 2025. Published by Elsevier Ltd.
Original languageEnglish
Article number128037
Number of pages14
JournalInternational Journal of Heat and Mass Transfer
Volume256
Issue numberPart 2
Online published4 Nov 2025
DOIs
Publication statusPublished - Mar 2026

Funding

The authors acknowledge the financial support from the National Natural Science Foundation of China (No. 52406057), the PI’s start-up fund at the City University of Hong Kong (Grant No 9610620) and the Research Grants Council of the Hong Kong Special Administrative Region (Grant No CityU 21206123).

Research Keywords

  • Computational fluid dynamics
  • Film cooling
  • Heat transfer
  • Two scale

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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