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Evaluation of turbulence-model performance as applied to jet-noise prediction
Author(s) -
S. Woodruff,
John Seiner,
M. Yousuff Hussaini,
Gordon Erlebacher
Publication year - 1998
Publication title -
45th aiaa aerospace sciences meeting and exhibit
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.1998-83
Subject(s) - turbulence , jet (fluid) , noise (video) , jet noise , computer science , statistical physics , physics , mechanics , artificial intelligence , image (mathematics)
The accurate prediction of jet noise is possible only if the jet flow field can be predicted accurately. Predictions for the mean velocity and turbulence quantities in the jet flowfield are typically the product of a Reynolds-averaged Navier-Stokes solver coupled with a turbulence model. To evaluate the effectiveness of solvers and turbulence models in predicting those quantities most important to jet noise prediction, two CFD codes and several turbulence models were applied to a jet configuration over a range of jet temperatures for which experimental data is available.

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