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Prediction of jet mixing noise with Lighthill’s Acoustic Analogy and geometrical acoustics

Prediction of jet mixing noise with Lighthill’s Acoustic Analogy and geometrical acoustics
Prediction of jet mixing noise with Lighthill’s Acoustic Analogy and geometrical acoustics
A computational aeroacoustics prediction tool based on the application of Lighthill’s theory is presented to compute noise from subsonic turbulent jets. The sources of sound are modeled by expressing Lighthill’s source term as two-point correlations of the velocity fluctuations and the sound refraction effects are taken into account by a ray tracing methodology. Both the source and refraction models use the flow information collected from a solution of the Reynolds-Averaged Navier-Stokes equations with a standard k-epsilon turbulence model. By adopting the ray tracing method to compute the refraction effects a high-frequency approximation is implied, while no assumption about the mean flow is needed, enabling the authors to apply the new method to jet noise problems with inherently three-dimensional propagation effects. Predictions show good agreement with narrowband measurements for the overall sound pressure levels and spectrum shape in polar angles between 60 and 110 for isothermal and hot jets with acoustic Mach number ranging from 0.5 to 1.0. The method presented herein can be applied as a relatively low cost and robust engineering tool for industrial optimization purposes.
0001-4966
1203-1213
Ilário, Carlos R.
25510495-9261-46cf-8317-cff09117be7c
Azarpeyvand, Mahdi
4178b944-b17f-40a3-ae10-5aad7915eefe
Self, Rodney
8b96166d-fc06-48e7-8c76-ebb3874b0ef7
Pereira Da Rosa, Victor, Henrique
d9f356a5-1a66-43a4-9cb8-2a059699635c
Meneghini, Julio.R
1d38b6b4-60a8-46f5-b079-929da08ef920
Ilário, Carlos R.
25510495-9261-46cf-8317-cff09117be7c
Azarpeyvand, Mahdi
4178b944-b17f-40a3-ae10-5aad7915eefe
Self, Rodney
8b96166d-fc06-48e7-8c76-ebb3874b0ef7
Pereira Da Rosa, Victor, Henrique
d9f356a5-1a66-43a4-9cb8-2a059699635c
Meneghini, Julio.R
1d38b6b4-60a8-46f5-b079-929da08ef920

Ilário, Carlos R., Azarpeyvand, Mahdi, Self, Rodney, Pereira Da Rosa, Victor, Henrique and Meneghini, Julio.R (2017) Prediction of jet mixing noise with Lighthill’s Acoustic Analogy and geometrical acoustics. Journal of the Acoustical Society of America, 141 (2), 1203-1213, [1203]. (doi:10.1121/1.4976076).

Record type: Article

Abstract

A computational aeroacoustics prediction tool based on the application of Lighthill’s theory is presented to compute noise from subsonic turbulent jets. The sources of sound are modeled by expressing Lighthill’s source term as two-point correlations of the velocity fluctuations and the sound refraction effects are taken into account by a ray tracing methodology. Both the source and refraction models use the flow information collected from a solution of the Reynolds-Averaged Navier-Stokes equations with a standard k-epsilon turbulence model. By adopting the ray tracing method to compute the refraction effects a high-frequency approximation is implied, while no assumption about the mean flow is needed, enabling the authors to apply the new method to jet noise problems with inherently three-dimensional propagation effects. Predictions show good agreement with narrowband measurements for the overall sound pressure levels and spectrum shape in polar angles between 60 and 110 for isothermal and hot jets with acoustic Mach number ranging from 0.5 to 1.0. The method presented herein can be applied as a relatively low cost and robust engineering tool for industrial optimization purposes.

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JASA_Carlos_etal - Accepted Manuscript
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Accepted/In Press date: 14 January 2017
e-pub ahead of print date: 28 February 2017
Organisations: Acoustics Group, Education Hub

Identifiers

Local EPrints ID: 408316
URI: http://eprints.soton.ac.uk/id/eprint/408316
ISSN: 0001-4966
PURE UUID: f384fefd-5763-4208-b544-f18330a1b0c7
ORCID for Victor, Henrique Pereira Da Rosa: ORCID iD orcid.org/0000-0003-2862-4301

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Date deposited: 19 May 2017 04:03
Last modified: 16 Mar 2024 05:19

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Contributors

Author: Carlos R. Ilário
Author: Mahdi Azarpeyvand
Author: Rodney Self
Author: Victor, Henrique Pereira Da Rosa ORCID iD
Author: Julio.R Meneghini

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