Abstract
An experimental investigation of the noise produced by a shrouded propeller interacting with grid-generated turbulence in an anechoic wind tunnel is presented. Inflow turbulence statistics and the far-field noise directivity were measured. Measured inflow turbulence statistics and propeller operating parameters were used in a theoretical model to predict the turbulent inflow noise spectra and directivity. The theoretical model uses rapid distortion theory to calculate the distorted turbulent field at the propeller plane. The unsteady loading on the rotating blades is calculated using isolated blade response functions. The noise radiated to the far-field is then evaluated using a tailored Green’s function approach which accounts for the acoustic scattering effect of the shroud. The theoretical model is able to capture the shape of the directivity pattern of the turbulent inflow noise produced by the shrouded propeller. The agreement between the measured and predicted spectra is reasonable, however the high frequency broadband levels tend to be underpredicted.
| Original language | English |
|---|---|
| Article number | 118044 |
| Journal | Journal of Sound and Vibration |
| Volume | 571 |
| Early online date | 8 Sept 2023 |
| DOIs | |
| Publication status | Published - 17 Feb 2024 |
Bibliographical note
Funding Information:Sung Tyaek Go gratefully acknowledges the support of a University of Auckland Doctoral scholarship. Luke Bowen and Mahdi Azarpeyvand would like to acknowledge the financial support of EPSRC via Grant No. EP/S013024/1. Sung Tyaek Go and Michael J. Kingan wish to acknowledge the use of New Zealand eScience Infrastructure (NeSI) high performance computing facilities as part of this research. New Zealand's national facilities are provided by NeSI and funded jointly by NeSI's collaborator institutions and through the Ministry of Business, Innovation & Employment's Research Infrastructure programme. URL https://www.nesi.org.nz.
Funding Information:
Sung Tyaek Go gratefully acknowledges the support of a University of Auckland Doctoral scholarship. Luke Bowen and Mahdi Azarpeyvand would like to acknowledge the financial support of EPSRC via Grant No. EP/S013024/1. Sung Tyaek Go and Michael J. Kingan wish to acknowledge the use of New Zealand eScience Infrastructure (NeSI) high performance computing facilities as part of this research. New Zealand's national facilities are provided by NeSI and funded jointly by NeSI's collaborator institutions and through the Ministry of Business, Innovation & Employment's Research Infrastructure programme. URL https://www.nesi.org.nz .
Publisher Copyright:
© 2023 The Author(s)