Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach

Research output: Contribution to conferenceAbstract

Abstract

This presentation provides a summary of our recent results on supersonic jet noise prediction using the generalized acoustic analogy approach. The analogy poses a formula for the far-field sound as a convolution product of propagator tensor and the fluctuating Reynolds stress auto-covariance tensor. We found that approximating the propagator tensor using a non-parallel flow asymptotic approximation (Afsar et al., 2019. Phil. Trans. A, in press) of the vector Green's function that satisfies the adjoint linearized Euler equations allows accurate prediction of the peak jet noise. That is, in the small observation angle region, the predictions remain within 1-2 dB of experimental data up to a Strouhal number (based on jet diameter) of at least 0.5. We based the analogy on a model of the Reynolds stress auto-covariance that agrees with Large-Eddy Simulations in isothermal conditions. In general, our predictions recover both the spectral quietening observed in heated jets at fixed acoustic Mach number (Afsar et al. AIAA J., vol.49, p.2522, 2011) and the noise enhancement at fixed jet Mach number. We observed that in either of these cases, using the simpler non-spreading locally parallel flow based Green’s function results in a significant under prediction of sound.
Original languageEnglish
Publication statusPublished - 24 Nov 2019
Event72nd Annual Meeting of the APS Division of Fluid Dynamics : Division of Fluid Dynamics - Washington State Convention Center, Seattle, United States
Duration: 23 Nov 201926 Nov 2019
https://www.apsdfd2019.org/

Conference

Conference72nd Annual Meeting of the APS Division of Fluid Dynamics
Abbreviated titleAPS-DFD
CountryUnited States
CitySeattle
Period23/11/1926/11/19
Internet address

Fingerprint

Acoustic noise
Mach number
Acoustics
Tensors
Green's function
Strouhal number
Parallel flow
Euler equations
Acoustic fields
Large eddy simulation
Convolution
Acoustic waves

Keywords

  • jet noise
  • asymptotics
  • turbulence modeling

Cite this

@conference{ff020f68323d4cf99113bbbe29a8d3c8,
title = "Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach",
abstract = "This presentation provides a summary of our recent results on supersonic jet noise prediction using the generalized acoustic analogy approach. The analogy poses a formula for the far-field sound as a convolution product of propagator tensor and the fluctuating Reynolds stress auto-covariance tensor. We found that approximating the propagator tensor using a non-parallel flow asymptotic approximation (Afsar et al., 2019. Phil. Trans. A, in press) of the vector Green's function that satisfies the adjoint linearized Euler equations allows accurate prediction of the peak jet noise. That is, in the small observation angle region, the predictions remain within 1-2 dB of experimental data up to a Strouhal number (based on jet diameter) of at least 0.5. We based the analogy on a model of the Reynolds stress auto-covariance that agrees with Large-Eddy Simulations in isothermal conditions. In general, our predictions recover both the spectral quietening observed in heated jets at fixed acoustic Mach number (Afsar et al. AIAA J., vol.49, p.2522, 2011) and the noise enhancement at fixed jet Mach number. We observed that in either of these cases, using the simpler non-spreading locally parallel flow based Green’s function results in a significant under prediction of sound.",
keywords = "jet noise, asymptotics, turbulence modeling",
author = "Mohammed Afsar and Adrian Sescu and Edmondo Minisci",
year = "2019",
month = "11",
day = "24",
language = "English",
note = "72nd Annual Meeting of the APS Division of Fluid Dynamics : Division of Fluid Dynamics, APS-DFD ; Conference date: 23-11-2019 Through 26-11-2019",
url = "https://www.apsdfd2019.org/",

}

Afsar, M, Sescu, A & Minisci, E 2019, 'Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach' 72nd Annual Meeting of the APS Division of Fluid Dynamics , Seattle, United States, 23/11/19 - 26/11/19, .

Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach. / Afsar, Mohammed; Sescu, Adrian; Minisci, Edmondo.

2019. Abstract from 72nd Annual Meeting of the APS Division of Fluid Dynamics , Seattle, United States.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach

AU - Afsar, Mohammed

AU - Sescu, Adrian

AU - Minisci, Edmondo

PY - 2019/11/24

Y1 - 2019/11/24

N2 - This presentation provides a summary of our recent results on supersonic jet noise prediction using the generalized acoustic analogy approach. The analogy poses a formula for the far-field sound as a convolution product of propagator tensor and the fluctuating Reynolds stress auto-covariance tensor. We found that approximating the propagator tensor using a non-parallel flow asymptotic approximation (Afsar et al., 2019. Phil. Trans. A, in press) of the vector Green's function that satisfies the adjoint linearized Euler equations allows accurate prediction of the peak jet noise. That is, in the small observation angle region, the predictions remain within 1-2 dB of experimental data up to a Strouhal number (based on jet diameter) of at least 0.5. We based the analogy on a model of the Reynolds stress auto-covariance that agrees with Large-Eddy Simulations in isothermal conditions. In general, our predictions recover both the spectral quietening observed in heated jets at fixed acoustic Mach number (Afsar et al. AIAA J., vol.49, p.2522, 2011) and the noise enhancement at fixed jet Mach number. We observed that in either of these cases, using the simpler non-spreading locally parallel flow based Green’s function results in a significant under prediction of sound.

AB - This presentation provides a summary of our recent results on supersonic jet noise prediction using the generalized acoustic analogy approach. The analogy poses a formula for the far-field sound as a convolution product of propagator tensor and the fluctuating Reynolds stress auto-covariance tensor. We found that approximating the propagator tensor using a non-parallel flow asymptotic approximation (Afsar et al., 2019. Phil. Trans. A, in press) of the vector Green's function that satisfies the adjoint linearized Euler equations allows accurate prediction of the peak jet noise. That is, in the small observation angle region, the predictions remain within 1-2 dB of experimental data up to a Strouhal number (based on jet diameter) of at least 0.5. We based the analogy on a model of the Reynolds stress auto-covariance that agrees with Large-Eddy Simulations in isothermal conditions. In general, our predictions recover both the spectral quietening observed in heated jets at fixed acoustic Mach number (Afsar et al. AIAA J., vol.49, p.2522, 2011) and the noise enhancement at fixed jet Mach number. We observed that in either of these cases, using the simpler non-spreading locally parallel flow based Green’s function results in a significant under prediction of sound.

KW - jet noise

KW - asymptotics

KW - turbulence modeling

UR - http://meetings.aps.org/Meeting/DFD19/Session/G06.1

UR - https://www.apsdfd2019.org/

M3 - Abstract

ER -

Afsar M, Sescu A, Minisci E. Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach. 2019. Abstract from 72nd Annual Meeting of the APS Division of Fluid Dynamics , Seattle, United States.