Abstract

Robust methods to predict heat transfer are vital to accurately control the blade-tip clearance in compressors and the radial growth of the disks to which these blades are attached. Fundamentally, the flow in the cavity between the co-rotating disks is a conjugate problem: the temperature gradient across this cavity drives large-scale buoyant structures in the core that rotate asynchronously to the disks, which in turn governs the heat transfer and temperature distributions in the disks. The practical engine designer requires expedient computational methods and low-order modeling. A conjugate heat transfer (CHT) methodology that can be used as a predictive tool is introduced here. Most simulations for rotating cavities only consider the fluid domain in isolation and typically require known disk temperature distributions as the boundary condition for the solution. This paper presents a novel coupling strategy for the conjugate problem, where unsteady Reynolds averaged Navier–Stokes (URANS) simulations for the fluid are combined with a series of steady simulations for the solid domain in an iterative approach. This strategy overcomes the limitations due to the difference in thermal inertia between fluid and solid; the method retains the unsteady flow features but allows a prediction of the disk temperature distributions, rather than using them as a boundary condition. This approach has been validated on the fundamental flow configuration of a closed co-rotating cavity. Metal temperatures and heat transfer correlations predicted by the simulation are compared to those measured experimentally for a range of engine-relevant conditions.

Original languageEnglish
Article number051007
Number of pages14
JournalJournal of Engineering for Gas Turbines and Power: Transactions of the ASME
Volume146
Issue number5
Early online date1 Oct 2023
DOIs
Publication statusPublished - 1 May 2024

Bibliographical note

ACKNOWLEDGEMENTS:
Siemens-Energy funded the computational aspects of this research. The xperimental work was funded by the UK Engineering and Physical Sciences Research Council (EPSRC), under grant number EP/P003702/1. This work used the Isambard UK National Tier-2 HPC Service operated by GW4 and the UK Met Office, and funded by EPSRC (EP/P020224/1) and the Cirrus UK National Tier-2 HPC Service at EPCC funded by the University of Edinburgh and EPSRC (EP/P020267/1).

DATA AVAILABILITY:
Due to confidentiality agreements with research collaborators, supporting data can only be made available to bona fide researchers subject to a nondisclosure agreement. Details of how to request access are available at the University of Bath data archive.

Funding

The authors would like to thank Hrovje Jasak, Stefano Oliani, and Roberto Maffuli for the constructive discussion and feedback. Siemens Energy. UK Engineering and Physical Sciences Research Council (EPSRC) (Grant Nos. EP/P003702/1, EP/P020224/1, and EP/ P020267/1; Funder ID: 10.13039/501100000266).

FundersFunder number
Engineering and Physical Sciences Research CouncilEP/P003702/1, EP/P020224/1, EP/ P020267/1

Keywords

  • buoyancy-induced flow
  • computational fluid dynamics
  • conjugate heat transfer
  • rotating cavity

ASJC Scopus subject areas

  • Mechanical Engineering
  • Aerospace Engineering
  • Energy Engineering and Power Technology
  • Fuel Technology
  • Nuclear Energy and Engineering

Fingerprint

Dive into the research topics of 'Conjugate Modeling of a Closed Co-Rotating Compressor Cavity'. Together they form a unique fingerprint.

Cite this