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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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    Authors
    Langari, Mostafa
    Yang, Zhiyin cc
    Dunne, Julian F.
    Jafari, Soheil
    Pirault, Jean-Pierre
    Long, Chris A.
    Thalackottore Jose, Jisjoe
    Affiliation
    University of Derby
    University of Sussex
    Issue Date
    2018-06-07
    
    Metadata
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    Abstract
    The accuracy of 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 modelling on the accuracy and efficiency of heat transfer predictions for engine-like thermal conditions where published experimental data is available. A multi-phase mixture modelling 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 vapour-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.
    Citation
    Langari, M. et al (2018) 'Conjugate heat transfer predictions for subcooled boiling flow in a horizontal channel using a volume-of-fluid framework.', Journal of Heat Transfer, 140(10), 104501.
    Publisher
    ASME Journals
    Journal
    Journal of Heat Transfer
    URI
    http://hdl.handle.net/10545/622757
    DOI
    10.1115/1.4040358
    Additional Links
    http://heattransfer.asmedigitalcollection.asme.org/article.aspx?articleid=2682804&resultClick=3
    Type
    Article
    Language
    en
    ISSN
    00221481
    EISSN
    15288943
    ae974a485f413a2113503eed53cd6c53
    10.1115/1.4040358
    Scopus Count
    Collections
    Department of Mechanical Engineering & the Built Environment

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