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Erschienen in: Flow, Turbulence and Combustion 3/2019

08.08.2018

Reynolds Number Dependence of Higher Order Statistics for Round Turbulent Jets Using Large Eddy Simulations

verfasst von: Sasan Salkhordeh, Sagnik Mazumdar, Anirban Jana, Mark L. Kimber

Erschienen in: Flow, Turbulence and Combustion | Ausgabe 3/2019

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Abstract

Despite the large repository of experimental and computational studies on the topic of turbulent jets, inconclusive and conflicting estimates prevail in regard to certain terms in the turbulence energy budget and the dependence (or lack of dependence) of these and other flow physics on the jet Reynolds number. No comprehensive study exists which adequately addresses these inconsistencies. The purpose of this study is to resolve these contradictions and ascertain the true dependence of the flow statistics on the jet Reynolds number. This is accomplished through high fidelity Large Eddy Simulations (LES), which are performed for a single isothermal round jet at three different Reynolds numbers, encompassing nearly two orders of magnitude. In each case, results are compared to well-accepted experimental and computational studies, and excellent agreement is found with experimental quantities either directly acquired or computed directly from raw data. A separate discrete eddy simulation of the flow in the nozzle upstream of the jet inlet is performed and is found to be crucial in quantifying the flow physics in the near field (e.g., virtual origin). Results show a definite Reynolds number dependence for nearly all third order terms and this is non-negligible especially for the mean convection and production terms in the turbulent kinetic energy budget.

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Metadaten
Titel
Reynolds Number Dependence of Higher Order Statistics for Round Turbulent Jets Using Large Eddy Simulations
verfasst von
Sasan Salkhordeh
Sagnik Mazumdar
Anirban Jana
Mark L. Kimber
Publikationsdatum
08.08.2018
Verlag
Springer Netherlands
Erschienen in
Flow, Turbulence and Combustion / Ausgabe 3/2019
Print ISSN: 1386-6184
Elektronische ISSN: 1573-1987
DOI
https://doi.org/10.1007/s10494-018-9971-x

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