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Conjugate heat transfer predictions for subcooled boiling flow in a horizontal channel using a volume-of-fluid framework

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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 Jose
The 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 Transfer

ISSN

0022-1481

Publisher

American Society of Mechanical Engineers

Issue

10

Volume

140

Page range

1-6

Article number

a104501

Department 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

2018-02-19

First Open Access (FOA) Date

2020-09-03

First Compliant Deposit (FCD) Date

2018-02-17

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