The present study reports a novel wavelet-based method aimed at separating the noise emitted by a single propeller into two contributions, tonal and broadband. An assessment using two different experimental investigations of propellers operating in diverse configurations is presented. The first experiment focuses upon near-field polar microphone array data of a benchmarked low-Reynolds number propeller, in hover and cruise conditions. Measurements were performed in the anechoic tunnel (A-Tunnel) at the low-speed laboratory of TU Delft. The second set of data consists of a test campaign carried out at the Pininfarina Aerodynamic and Aeroacoustic Research Center in Turin (Italy) under the EU funded project ERaCLE. The model comprises a five-bladed propeller installed close to a wing. Pressure signals were acquired using a top-mounted linear microphone array that spans different polar locations. The wavelet-based algorithm able to separate the tonal and broadband contributions through the computation of two-point statistics. The assessment of the decomposition procedure on two very different databases is presented to validate the technique with the aim to extend its range of applications.

Meloni, S., de Paola, E., Grande, E., Ragni, D., Stoica, L.G., Di Marco, A., et al. (2022). Wavelet-based decomposition of the tonal-broadband components of propeller noise. In American Institute of Aeronautics and Astronautics, Inc [10.2514/6.2022-2876].

Wavelet-based decomposition of the tonal-broadband components of propeller noise

Meloni S.;de Paola E.;Stoica L. G.;Di Marco A.;Camussi R.
2022

Abstract

The present study reports a novel wavelet-based method aimed at separating the noise emitted by a single propeller into two contributions, tonal and broadband. An assessment using two different experimental investigations of propellers operating in diverse configurations is presented. The first experiment focuses upon near-field polar microphone array data of a benchmarked low-Reynolds number propeller, in hover and cruise conditions. Measurements were performed in the anechoic tunnel (A-Tunnel) at the low-speed laboratory of TU Delft. The second set of data consists of a test campaign carried out at the Pininfarina Aerodynamic and Aeroacoustic Research Center in Turin (Italy) under the EU funded project ERaCLE. The model comprises a five-bladed propeller installed close to a wing. Pressure signals were acquired using a top-mounted linear microphone array that spans different polar locations. The wavelet-based algorithm able to separate the tonal and broadband contributions through the computation of two-point statistics. The assessment of the decomposition procedure on two very different databases is presented to validate the technique with the aim to extend its range of applications.
978-1-62410-664-4
Meloni, S., de Paola, E., Grande, E., Ragni, D., Stoica, L.G., Di Marco, A., et al. (2022). Wavelet-based decomposition of the tonal-broadband components of propeller noise. In American Institute of Aeronautics and Astronautics, Inc [10.2514/6.2022-2876].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/422169
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