Numerical and Experimental Investigation of the Flow-Induced Noise of a Wall Mounted Airfoil
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1 Numerical and Experimental Investigation of the Flow-Induced Noise of a Wall Mounted Airfoil Paul Croaker, Danielle Moreau, Manuj Awasthi, Mahmoud Karimi, Con Doolan, Nicole Kessissoglou School of Mechanical and Manufacturing Engineering UNSW Australia
2 Motivation for current work Previous work on wall mounted airfoil flow-induced noise Experimental measurements Hybrid RANS-BEM technique Current experimental and numerical investigation Experimental and numerical flow data Numerical prediction of flow-induced noise Conclusions Overview
3 Physically interesting case study Trailing edge noise Tip vortex noise Wall Mounted Airfoil Study Turbulence leading edge interaction noise Moreau et al demonstrated that the tip vortex noise scales with M 7.5 Low to moderate Reynolds numbers and low Mach number flows Expect scaling to be closer to M 6 (surface dipoles) or M 5 (sharp edge) Noise generating mechanism clearly complex and interesting
4 Wall Mounted Airfoil Study Croaker et al derived a hybrid RANS-BEM technique to predict flow-induced noise produced by bodies in flow Successfully predicted the sound generated by the wall mounted airfoil Lack of experimental flow data made it difficult to fully validate the model Devised an experimental and numerical study into the flow around and noise generated by a finite wall mounted airfoil Gain a deeper understanding into the tip noise mechanism Generate validation data for the RANS-BEM technique
5 RANS-BEM Motivation Reynolds Averaged Navier Stokes Computational aeroacoustic methods based on LES are time demanding LES techniques have a significant data storage and processing burden RANS based approaches are computationally efficient LES RANS
6 Hybrid RANS-BEM Motivation Boundary Element Method Scattering from simple geometries using analytical Green s function Extended by multiple scattering concept to include finite aerofoils BEM required to consider complex geometries or thick section aerofoil or hydrofoils S831 Profile
7 Hybrid RANS-BEM Challenges Reynolds Averaged Navier Stokes Only provides a statistical representation of turbulence Lacks knowledge of phase relationship between flow noise sources Boundary Element Method Requires the incident field on the body due to the flow noise sources Predicts the acoustic field scattered by the body Phase relationship between flow noise sources vital in accurate calculation of scattered field
8 Hybrid RANS-BEM Challenges Reynolds Averaged Navier Stokes Only provides a statistical representation of turbulence Lacks knowledge of phase relationship between flow noise sources Boundary Element Method Requires the incident field on the body due to the flow noise sources Predicts the acoustic field scattered by the body Phase relationship between flow noise sources vital in accurate calculation of scattered field
9 Phase Relationship from RANS RANS-based Statistical Noise Sources Accounts for phase relationship between flow noise sources through two point space-time correlations The space-time correlations are derived from the RANS-based turbulence statistics
10 RANS-BEM Solution Procedure
11 RANS-BEM Solution Procedure, Source, b Far-field point,
12 RANS-BEM Solution Procedure, Source, c Far-field point,
13 RANS-BEM Solution Procedure,,,, Φ,,,,
14 RANS-BEM Solution Procedure l s, ω s, u s
15 RANS-BEM Solution Procedure Velocity cross-spectra approximated from RANS turbulence statistics Requires extensive validation and empirical constant tuning Experimental and high-fidelity numerical flow and noise data required to achieve this Scattered sound field calculated for each flow noise source separately Total far-field acoustic power spectral density obtained by combining individual source contributions based on velocity cross-spectra
16 Finite Wall Mounted Foil Moreau, DJ, Doolan, CJ, Alexander, WN, Meyers, TW and Devenport, WJ 2016, Wall-mounted finite airfoil-noise production and prediction, AIAA Journal, vol. 54, 5, pp
17 Flow Structures
18 Flow Structures - Tip
19 Characteristic Scales - Tip z/s = 0.95 z/s = 0.975
20 Characteristic Scales - Tip z/s = z/s = 1.0
21 Characteristic Scales - Tip z/s = z/s = 1.025
22 Far-Field Acoustic Power Spectral Density Moreau, DJ, Doolan, CJ, Alexander, WN, Meyers, TW and Devenport, WJ 2016, Wall-mounted finite airfoil-noise production and prediction, AIAA Journal, vol. 54, 5, pp
23 Source Contribution Regions
24 Trailing and Leading Edge PSD Trailing edge Leading edge
25 Junction and Tip PSD Junction Tip
26 Conclusions of RANS-BEM work Hybrid RANS-BEM technique to predict flow-induced noise from wall mounted airfoil Velocity cross-spectra approximated from RANS turbulence statistics BEM used to calculate the scattered sound field Good comparison of results with experiment
27 Conclusions of RANS-BEM work Lack of available hydrodynamic validation data Need an extensive experimental and high-fidelity numerical dataset to Validate RANS-BEM technique Inform RANS-BEM model parameters
28 Current Numerical and Experimental Investigations Finite wall-mounted airfoil studied NACA0012 section airfoil Chord of 0.2m Span of 0.2m Trailing edge thickness of 3mm Flow velocity of 20 m/s Reynolds number of 274,000 Mach number of 0.06
29 Experimental Investigation at UNSW Perform flow and noise calculations on finite wall-mounted airfoils in the UNSW Anechoic Wind Tunnel
30 Experimental Investigation at UNSW
31 Experimental Investigation at UNSW Single hot wire measurements taken in the near wake of the airfoil at various spanwise locations Mean flow and turbulence statistics Spectral content of fluctuating velocities
32 Experimental Investigation at UNSW Acoustic measurements are currently not possible due to excessive background noise levels New fan and motor are being installed Outlet ductwork modifications including muffler are being installed Facility will be ready for acoustic measurements from June 2017
33 High-fidelity Numerical Simulations
34 High-fidelity Numerical Simulations Structured mesh with approximately 11 million cells y + ~ 1 Spanwise and streamwise resolution less refined Numerical discretisation schemes Second order backward differencing in time Second order central differencing in space, with 10% blending of second order upwind differencing Pressure and velocity coupling achieved using the PISO algorithm
35 Tip Vortex Flow Structures Trailing Edge Turbulence Laminar Flow over Leading Edge Horseshoe Vortex Rollup Transition to Turbulence
36 Mean flow statistics at 50% span
37 Velocity Autospectral Density at 50% span y = 0 mm y = 2 mm
38 Mean flow statistics at 75% span
39 Velocity Autospectral Density at 75% span y = 0 mm y = 2 mm
40 Mean flow statistics at 97.5% span
41 Velocity Autospectral Density at 97.5% span y = 0 mm y = 2 mm
42 High-fidelity flow noise prediction Flow-induced noise sources extracted from LES data based on Lighthill s acoustic analogy Pressure wave propagation from flow noise sources to the airfoil predicted Uses a near-field propagation algorithm which regularises the singular integrals Boundary element model used to predict the scattered and total acoustic fields Acoustic pressure predicted 1m perpendicular to airfoil surface at a height equal to the span
43 Boundary element model
44 Far-field pressure
45 Low frequency noise caused by laminar to turbulence transition Far-field pressure Blunt trailing edge vortex shedding
46 Conclusions Experimental and numerical investigation of flow around a wall mounted airfoil Experimental results exhibit a slight asymmetry which suggests airfoil is not aligned perfectly with 0 degrees Numerical results show reasonable results directly behind the airfoil, however a more rapid drop-off is observed transversely through the wake High-fidelity prediction of the flow induced noise Remains to be validated with experimental measurements Grid refinement study underway to improve grid resolution in streamwise and spanwise directions
PUBLISHED VERSION. Published version: https://www.acoustics.asn.au/conference_proceedings/aasnz2016/abstracts/themespapers.htm#p39
PUBLISHED VERSION Jesse Coombs, Con Doolan, Anthony Zander, Danielle Moreau and Laura Brooks Statistical estimation of trailing edge noise from finite wall-mounted airfoils Proceedings of the Acoustics2016
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