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Aeroacoustic Benchmarking of Trailing-Edge Noise from NACA 633–018 Airfoil with Trailing-Edge Serrations
Experimental results on trailing-edge (TE) noise from a NACA [Formula: see text] airfoil are presented for a chord-based Reynolds number [Formula: see text] range between [Formula: see text] and [Formula: see text]. Far-field TE noise from the baseline airfoil with a straight TE and TE serrations is...
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Published in: | AIAA journal 2023-01, Vol.61 (1), p.329-354 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Experimental results on trailing-edge (TE) noise from a NACA [Formula: see text] airfoil are presented for a chord-based Reynolds number [Formula: see text] range between [Formula: see text] and [Formula: see text]. Far-field TE noise from the baseline airfoil with a straight TE and TE serrations is measured with varying [Formula: see text], angle of attack, and serration shape and flap angle. Additionally, aerodynamic coefficients and boundary-layer parameters at the TE are also reported. To cover such a broad [Formula: see text] range, two NACA [Formula: see text] airfoil models were tested in two different wind tunnels. The measurements include the emitted noise with natural and forced transition locations. For the straight TE, the forced transition location results in up to 5 dB increase of the far-field TE noise level, compared to the natural one. Scaling of the far-field noise spectra from the baseline TE shows that the Strouhal numbers [Formula: see text] at which the peak noise level is measured reduce as [Formula: see text] increases. TE noise spectra for the cases with the TE serrations are found to be dependent on the airfoil lift and [Formula: see text]. The present data are to be included in the framework of the Benchmark Problems for Airframe Noise Computations category I and are publicly available in a repository with the following digital object identifier (DOI): https://doi.org/10.4121/20940646 . |
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ISSN: | 0001-1452 1533-385X |
DOI: | 10.2514/1.J061630 |