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University of Southampton Southampton, UK
Numerical Investigation of Broadband Slat Noise Attenuation with Acoustic liner Treatment Authors: Zhaokai Ma, Xin Zhang and Malcolm Smith University of Southampton Southampton, UK Technical Supervisor: Stephen Chow Airbus, Bristol, UK
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Computational results
Outline Introduction Numerical models Computational results Aerodynamic flow field Noise radiation Summary and future work
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Introduction Slat noise is one of the dominating sources of aircraft noise during landing Approach noise of a Airbus A aircraft
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Introduction Hybrid noise prediction methods
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Numerical models Computational aeroacoustic solver: SotonCAA
Governing equations: Navier-Stokes equations Spatial discretization: 4th, 6th -order compact schemes Time integration: Implicit 2nd -order LU method Explicit 4th –order Runge-Kutta method Turbulence model: Spalart-Allmaras, DES, LES Linearized acoustic solver: SotonLEE Radiation Model: FW-H
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3D slat broadband noise simulation
Computation setup for LES Slat in landing conditions Flap in retracted position Freestream Mach = 0.2 Angle of attack = 12 deg. Re = 3.6×106 Total grid cells 5.5 million Δz/c=0.002, 26 points at span-wise Implicit solver, 2nd order temporal accuracy and 6th order spatial accuracy CFL=15, 5 subiterations Smagorinsky LES subgrid model A view of the grid around the high lift wing
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3D slat broadband noise simulation
Q iso surface colored with z-vorticity
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3D slat broadband noise simulation
Rapid distortion of coherent structures via mean-flow straining Secondary separation Vortex merging Cove vortex Edge scattering z-vorticity contours near the slat cove region
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3D slat broadband noise simulation
Location of the mixing layer profile monitoring lines Mean velocity profile on the monitoring lines
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3D slat broadband noise simulation
Velocity fluctuations along the monitoring line A 3D TKE and velocity fluctuations along the monitoring line C
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3D slat broadband noise simulation
Spanwise correlation of velocity fluctuations along monitoring line 1. Spanwise correlation of velocity fluctuations along monitoring line 2.
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3D slat broadband noise simulation
Power spectral density at different monitor points
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3D slat broadband noise simulation
Computation setup for LES source driven APE 3D APE with LES calculated sources Total grid cells 1.2 million Δz/c=0.002, 26 points at span-wise Explicit solver, 4nd order temporal accuracy and 6th order spatial accuracy Source terms: Ti me domain impedance boundary condition of Fung et. al. A view of the grid for LES sources driven APE calculation
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3D slat broadband noise simulation
A view of the liner treatment and the grid near the slat cove Pressure perturbation around the high lift wing
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3D slat broadband noise simulation
Comparison of the farfield directivity Attenuation along the frequency
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Summary and future work
Broadband slat noise generation was simulated using LES Broadband slat noise attenuation ability of acoustic liners was explored Future work Refined grid calculation of LES Different definitions of acoustic sources Optimization of the acoustic liner for broadband noise
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