ht_140_10_104501.pdf (2.46 MB)
Conjugate heat transfer predictions for subcooled boiling flow in a horizontal channel using a volume-of-fluid framework
journal contribution
posted on 2023-06-09, 12:12 authored by M Langari, Z Yang, Julian DunneJulian Dunne, S Jafari, J-P Pirault, Christopher Long, Jisjoe Thalackottore JoseThe accuracy of computational fluid dynamic (CFD)-based heat transfer predictions have been examined of relevance to liquid cooling of IC engines at high engine loads where some nucleate boiling occurs. Predictions based on (i) the Reynolds Averaged Navier-Stokes (RANS) solution and (ii) large eddy simulation (LES) have been generated. The purpose of these simulations is to establish the role of turbulence modeling on the accuracy and efficiency of heat transfer predictions for engine-like thermal conditions where published experimental data are available. A multiphase mixture modeling approach, with a volume-of-fluid interface-capturing method, has been employed. To predict heat transfer in the boiling regime, the empirical boiling correlation of Rohsenow is used for both RANS and LES. The rate of vapor-mass generation at the wall surface is determined from the heat flux associated with the evaporation phase change. Predictions via CFD are compared with published experimental data showing that LES gives only slightly more accurate temperature predictions compared to RANS but at substantially higher computational cost.
Funding
Evaporative Cooling of Internal Combustion Engines; G1473; EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL; EP/M005755/1
History
Publication status
- Published
File Version
- Published version
Journal
Journal of Heat TransferISSN
0022-1481Publisher
American Society of Mechanical EngineersExternal DOI
Issue
10Volume
140Page range
1-6Article number
a104501Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Dynamics, Control and Vehicle Research Group Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-02-19First Open Access (FOA) Date
2020-09-03First Compliant Deposit (FCD) Date
2018-02-17Usage metrics
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