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Turbulent jet characteristics for axisymmetric and serrated nozzles
journal contributionposted on 2014-12-05, 14:47 authored by Hao XiaHao Xia
Turbulent jet large eddy simulations (LES) are performed at Mach 0.9 and Reynolds number around 106 . Implicit large-eddy simulation (ILES) is employed, namely omitting explicit subgrid scale models. The Reynolds-averaged Navier–Stokes (RANS) solution is blended into the near wall region. This makes an overall hybrid LES-RANS approach. A Hamilton–Jacobi equation is applied to remove the disparate turbulence length scales implied by hybridization. Computations are contrasted for a baseline axisymmetric (round) nozzle and a serrated (or chevron) nozzle with high bending and penetration. Jet characteristics for both nozzles are studied in detail with well documented experimental data compared. The chevron effects are demonstrated by comparing both solutions using the same mesh resolution and flow conditions. Higher order velocity moments with potential for aeroacoustic modeling and noise prediction, such as the two-point velocity spatial correlations, are also explored. Numerical simulations presented in this study utilize an in-house flow solver with improved parallel scalability and efficiency by means of data packeting and a scheduling algorithm similar to the Round Robin scheduling.
The author would like to acknowledge the European PRACE systems for providing computing resources for code testing and development. Original experimental data obtained from NASA Glenn Research Center is gratefully acknowledged. The author also thanks the University of Sussex ITS department for the local HPC support and the use of the Apollo cluster.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inComputers & Fluids
Pages189 - 197
CitationXIA, H., 2015. Turbulent jet characteristics for axisymmetric and serrated nozzles. Computers and Fluids, 110, pp. 189-197.
Publisher© Elsevier Ltd.
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesNOTICE: this is the author’s version of a work that was accepted for publication in Computers & Fluids. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Fluids, in press DOI http://dx.doi.org/ 10.1016/j.compfluid.2014.09.035