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Jet noise analysis using an efficient LES/high-order acoustic coupling method

journal contribution
posted on 10.01.2020 by Miguel Moratilla-Vega, Kilan Lackhove, J Janicka, Hao Xia, Gary Page
The use of a CFD/CAA method, where fluctuations are extracted on a surface and propagated analytically to the far-field, is becoming a practical approach for industrial jet noise prediction. However, the placement of the surface can be problematic and a source of error, so here an efficient LES/APE coupling method that relies on volumetric sources is utilised. This allows the use of an existing, well validated and robust finite volume LES code to compute the unsteady flow, from which the volumetric sources are extracted, to then compute the propagation of the acoustic waves to the far-field using a high-order finite element APE code with a grid more appropriate for this task. Furthermore, this coupled methodology allows the studying of noise propagation in complex configurations in which the use of surface integral methods could be challenging. In this work, a coupling strategy is used in which all the necessary data is exchanged directly via the high-speed communication network using an open-source library. The efficiency of the parallel-coupling strategy is demonstrated by applying it to a 2D canonical case and comparing it with an existing file-based approach. For the acoustic propagation, the APE solver used is called AcousticSolver, part of the high-order spectral/hp finite element open-source code Nektar++. The present LES/APE framework is fist validated for 3D jet applications by studying the noise propagation of a low-Reynolds number case. Then the method is applied to a more realistic high Reynolds number jet obtaining encouraging results in terms of flow and acoustic predictions.

Funding

EPSRC for the computational time made available on the UK supercomputing facility ARCHER via the UK Turbulence Consortium (EP/L000261/1)

CSE programme of the ARCHER UK National Supercomputing Service and the combustion noise project (JA 544/37-2) of the German Research Foundation (DFG)

EPSRC grant EP/P020232/1

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Computers and Fluids

Volume

199

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier Ltd.

Publisher statement

This paper was accepted for publication in the journal Computers and Fluids and the definitive published version is available at https://doi.org/10.1016/j.compfluid.2020.104438.

Acceptance date

09/01/2020

Publication date

2020-01-11

Copyright date

2020

ISSN

0045-7930

Language

en

Depositor

Dr Hao Xia. Deposit date: 9 January 2020

Article number

104438

Exports