Numerical simulation of aeroacoustics of hovering helicopter rotor

Kusyumov, A.N., Mikhailov, S.A., Kusyumov, S.A., Fayzullin, K.V. and Barakos, G.N. (2018) Numerical simulation of aeroacoustics of hovering helicopter rotor. IOP Conference Series: Materials Science and Engineering, 449, 012017. (doi: 10.1088/1757-899X/449/1/012017)

Abstract

The specifics of the problem of estimating the noise of a hovering rotor, allows for some simplification of the Ffowcs Williams-Hawkins (FW-H) equation. Most published works dedicated to helicopter tonal noise estimates use the far-field formulation. This paper estimates the aeroacoustic emissions of a helicopter rotor in hover, for observers placed at different distances using the FW-H equation, including near-field and far-field terms. The blade pressure distribution is obtained from numerical simulations with the RANS equations. To demonstrate this approach, the near- and far-field contributions are analyzed for the model-scale UH-1H main helicopter rotor. For the numerical simulations, the HMB solver of Glasgow University and the ANSYS Fluent13 commercial solver are used. As the rotor blade behaviour is characterized by a complex motion in the computer program it is assumed that the blade is seen in as a rotating rigid body. The most commonly used mathematical model of the FW-H equation corresponds to the classical impermeable formulation. In this case, the source surface corresponds to the blade surface. Then, the acoustic pressure (based on the FW-H 1A formulation) is modified with empirical adjustments, based on the radiation Mach number. This was applied for the near- or far-field thickness noise depending on the rotor-observer distance.

• Item Type: Articles
• Additional Information: This work was supported by the grant No. 9.1577.2017/4.6 of the Ministry of Education and Science of the Russian Federation.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Barakos, Professor George
• Authors: Kusyumov, A.N., Mikhailov, S.A., Kusyumov, S.A., Fayzullin, K.V., and Barakos, G.N.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: IOP Conference Series: Materials Science and Engineering
• Publisher: IOP Publishing
• ISSN: 1757-8981
• ISSN (Online): 1757-899X
• Copyright Holders: Copyright © 2018 IOP Publishing
• First Published: First published in IOP Conference Series: Materials Science and Engineering 449:012017
• Publisher Policy: Reproduced under a Creative Commons License