JACKSON, Beren and DAKKA, Sam (2018). Computational fluid dynamics investigation into flow behavior and acoustic mechanisms at the trailing edge of an airfoil. Noise and Vibration Worldwide, 49 (1), 20-31.
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Abstract
Airfoil self-noise or trailing edge noise and shear noise was investigated computationally for a NACA0012 airfoil section, focusing on noise mechanisms at the trailing edge to identify and understand sources of noise production using ANSYS Fluent. A two-dimensional computational fluid dynamics simulation has been performed for 0°, 8° and 16° airfoil angle of attack capturing surface pressure contours, contours of turbulent intensity, contours of surface acoustic power level, vorticity magnitude levels across the airfoil profile, and x and y directional self and shear noise sources across the airfoil profile. The results, indicate that pressure gradients at the upper surface do increase as the angle of attack increase which is a measure of vortices near the surface of the trailing edge associated with turbulence cease as the boundary layer begins to separate. Comparison of the turbulent intensity contours with surface acoustic power level contours demonstrated direct correlation between the energy contributed by turbulent structures (i.e. vortices), and the level of noise measured at the surface, and within the boundary layer of the airfoil. As angle of attack is increased both x and y sources have the same trends, however, y sources (perpendicular to the free-stream flow) appear to have a bigger impact as angle of attack is increased. Furthermore, as the angle of attack increased, shear noise contributes less and less energy further downstream of the airfoil, and becomes dominated by noise energy from vortical structures within turbulence. The two-dimensional computational fluid dynamics simulation revealed pressure, turbulent intensity and surface acoustic power contours, that further corroborated the previously tested noise observations phenomena at the trailing edge of the airfoil.
Item Type: | Article |
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Departments - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Engineering and Mathematics |
Identification Number: | https://doi.org/10.1177/0957456517751455 |
Page Range: | 20-31 |
Depositing User: | Sam Dakka |
Date Deposited: | 24 Jan 2018 15:57 |
Last Modified: | 18 Mar 2021 16:08 |
URI: | https://shura.shu.ac.uk/id/eprint/18455 |
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