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Leading edge noise predictions using anisotropic synthetic turbulence

Leading edge noise predictions using anisotropic synthetic turbulence
Leading edge noise predictions using anisotropic synthetic turbulence
An advanced digital filter method is presented to generate divergence-free synthetic turbulence with homogeneous anisotropic velocity spectra. The resulting fluctuating velocity field is obtained through a superposition of anisotropic Gaussian eddies. This method is used to generate a two-dimensional turbulent flow with the key statistics of homogeneous axisymmetric turbulence. This type of turbulence has been reported in aero-engine intakes, fan wakes and open-jet wind tunnel experiments. The advanced digital filter method is implemented in a linearized Euler solver in order to investigate potential effects of anisotropic turbulence on leading edge noise. Computational aeroacoustic simulations are performed for anisotropic turbulence with streamwise-to-transverse length scale ratios ranging from 0.33 to 3 on a number of isolated airfoil configurations, including variations in mean flow Mach number, airfoil thickness and angle of attack. Noise reduction due to airfoil thickness is assessed on a NACA 0012 airfoil at zero angle of attack, showing similar trends for both
isotropic and moderately anisotropic turbulent flows. Effects of anisotropic turbulence on noise become evident for airfoil configurations at non-zero angle of attack.
American Institute of Aeronautics and Astronautics
Gea Aguilera, Fernando
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Gill, James
1e31eb24-f833-462e-b610-23b5b28e7285
Zhang, Xin
3056a795-80f7-4bbd-9c75-ecbc93085421
Chen, Xiaoxian
1c7ce635-f117-4cb5-8f61-cb6a9b23d8a5
Node-Langlois, Thomas
746d8e36-a76a-449d-95d2-0da56af9ec44
Gea Aguilera, Fernando
8aaa69d6-7618-4b2e-9942-e1ab4084aba4
Gill, James
1e31eb24-f833-462e-b610-23b5b28e7285
Zhang, Xin
3056a795-80f7-4bbd-9c75-ecbc93085421
Chen, Xiaoxian
1c7ce635-f117-4cb5-8f61-cb6a9b23d8a5
Node-Langlois, Thomas
746d8e36-a76a-449d-95d2-0da56af9ec44

Gea Aguilera, Fernando, Gill, James, Zhang, Xin, Chen, Xiaoxian and Node-Langlois, Thomas (2016) Leading edge noise predictions using anisotropic synthetic turbulence. In 22nd AIAA/CEAS Aeroacoustics Conference. American Institute of Aeronautics and Astronautics. 18 pp . (doi:10.2514/6.2016-2840).

Record type: Conference or Workshop Item (Paper)

Abstract

An advanced digital filter method is presented to generate divergence-free synthetic turbulence with homogeneous anisotropic velocity spectra. The resulting fluctuating velocity field is obtained through a superposition of anisotropic Gaussian eddies. This method is used to generate a two-dimensional turbulent flow with the key statistics of homogeneous axisymmetric turbulence. This type of turbulence has been reported in aero-engine intakes, fan wakes and open-jet wind tunnel experiments. The advanced digital filter method is implemented in a linearized Euler solver in order to investigate potential effects of anisotropic turbulence on leading edge noise. Computational aeroacoustic simulations are performed for anisotropic turbulence with streamwise-to-transverse length scale ratios ranging from 0.33 to 3 on a number of isolated airfoil configurations, including variations in mean flow Mach number, airfoil thickness and angle of attack. Noise reduction due to airfoil thickness is assessed on a NACA 0012 airfoil at zero angle of attack, showing similar trends for both
isotropic and moderately anisotropic turbulent flows. Effects of anisotropic turbulence on noise become evident for airfoil configurations at non-zero angle of attack.

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Accepted/In Press date: 2 February 2016
e-pub ahead of print date: 30 May 2016
Venue - Dates: 22nd AIAA/CEAS Aeroacoustics Conference, France, 2016-05-30 - 2016-06-01
Organisations: Aeronautics, Astronautics & Comp. Eng

Identifiers

Local EPrints ID: 396454
URI: https://eprints.soton.ac.uk/id/eprint/396454
PURE UUID: 6439f218-fdc0-4704-9c47-0107e62859dd

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Date deposited: 08 Jun 2016 17:31
Last modified: 13 Mar 2019 18:52

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Contributors

Author: Fernando Gea Aguilera
Author: James Gill
Author: Xin Zhang
Author: Xiaoxian Chen
Author: Thomas Node-Langlois

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