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dc.contributor.authorAmzin, Shokri
dc.contributor.authorDomagała, Mariusz
dc.date.accessioned2021-03-08T12:22:25Z
dc.date.available2021-03-08T12:22:25Z
dc.date.created2021-02-23T09:17:18Z
dc.date.issued2021
dc.identifier.citationAmzin, S., & Domagała, M. (2021). Modelling of Conditional Scalar Dissipation Rate in Turbulent Premixed Combustion. Computation, 9(3).en_US
dc.identifier.issn2079-3197
dc.identifier.urihttps://hdl.handle.net/11250/2732167
dc.description.abstractIn turbulent premixed flames, for the mixing at a molecular level of reactants and products on the flame surface, it is crucial to sustain the combustion. This mixing phenomenon is featured by the scalar dissipation rate, which may be broadly defined as the rate of micro-mixing at small scales. This term, which appears in many turbulent combustion methods, includes the Conditional Moment Closure (CMC) and the Probability Density Function (PDF), requires an accurate model. In this study, a mathematical closure for the conditional mean scalar dissipation rate, <Nc|ζ>, in Reynolds, Averaged Navier–Stokes (RANS) context is proposed and tested against two different Direct Numerical Simulation (DNS) databases having different thermochemical and turbulence conditions. These databases consist of lean turbulent premixed V-flames of the CH4-air mixture and stoichiometric turbulent premixed flames of H2-air. The mathematical model has successfully predicted the peak and the typical profile of <Nc|ζ> with the sample space ζ and its prediction was consistent with an earlier study.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectdissipation rateen_US
dc.subjectturbulent premixed flamesen_US
dc.subjectCMCen_US
dc.titleModelling of Conditional Scalar Dissipation Rate in Turbulent Premixed Combustionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright: © 2021 by the authors.en_US
dc.source.volume9en_US
dc.source.journalComputationen_US
dc.source.issue3en_US
dc.identifier.doi10.3390/computation9030026
dc.identifier.cristin1892612
dc.source.articlenumber26en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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