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

Hdl Handle:
http://hdl.handle.net/10545/622757
Title:
Conjugate heat transfer predictions for subcooled boiling flow in a horizontal channel using a volume-of-fluid framework.
Authors:
Langari, Mostafa; Yang, Zhiyin ( 0000-0002-6629-1360 ) ; Dunne, Julian F.; Jafari, Soheil; Pirault, Jean-Pierre; Long, Chris A.; Thalackottore Jose, Jisjoe
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.
Affiliation:
University of Derby; University of Sussex
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
Issue Date:
7-Jun-2018
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
Sponsors:
N/A
Appears in Collections:
Department of Mechanical Engineering & the Built Environment

Full metadata record

DC FieldValue Language
dc.contributor.authorLangari, Mostafaen
dc.contributor.authorYang, Zhiyinen
dc.contributor.authorDunne, Julian F.en
dc.contributor.authorJafari, Soheilen
dc.contributor.authorPirault, Jean-Pierreen
dc.contributor.authorLong, Chris A.en
dc.contributor.authorThalackottore Jose, Jisjoeen
dc.date.accessioned2018-06-15T14:56:48Z-
dc.date.available2018-06-15T14:56:48Z-
dc.date.issued2018-06-07-
dc.identifier.citationLangari, 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.en
dc.identifier.issn00221481-
dc.identifier.doi10.1115/1.4040358-
dc.identifier.urihttp://hdl.handle.net/10545/622757-
dc.description.abstractThe 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.en
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherASME Journalsen
dc.relation.urlhttp://heattransfer.asmedigitalcollection.asme.org/article.aspx?articleid=2682804&resultClick=3en
dc.subjectSubcooled boiling flowen
dc.subjectLarge eddy simulation (LES)en
dc.titleConjugate heat transfer predictions for subcooled boiling flow in a horizontal channel using a volume-of-fluid framework.en
dc.typeArticleen
dc.identifier.eissn15288943-
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentUniversity of Sussexen
dc.identifier.journalJournal of Heat Transferen
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