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Method for the extraction of helicopter main and tail rotor noise

Olsman, W.F.J. (2018) Method for the extraction of helicopter main and tail rotor noise. Journal of Aircraft, 55 (2), pp. 805-816. American Institute of Aeronautics and Astronautics (AIAA). doi: 10.2514/1.C034525. ISSN 0021-8669.

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In this paper a method for the extraction of main and tail rotor noise from an acoustic pressure time history of a helicopter is described. The method is based on the classic Fourier series; however, modifications are made to account for nonperiodic and nonstationary data. Convergence of the method is demonstrated by the application of the method to artificial data. Thereafter the method is applied to wind tunnel data and flight test data for two different helicopters, one with a traditional tail rotor (Bo105) and one with a modern Fenestron (EC135). The results illustrate that a traditional tail rotor displays a rather tonal noise signature very similar to that of the main rotor, only smaller in amplitude and on a shorter time scale. The Fenestron displays a more chaotic noise signature with both a tonal and a broadband noise characteristic.

Item URL in elib:https://elib.dlr.de/114555/
Document Type:Article
Title:Method for the extraction of helicopter main and tail rotor noise
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:27 October 2018
Journal or Publication Title:Journal of Aircraft
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 805-816
Publisher:American Institute of Aeronautics and Astronautics (AIAA)
Keywords:acoustics, helicopter, main rotor, tail rotor, splitting
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:rotorcraft
DLR - Research area:Aeronautics
DLR - Program:L RR - Rotorcraft Research
DLR - Research theme (Project):L - The Quiet und Comfortable Rotorcraft (old)
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Helicopter, BS
Deposited By: Olsman, WFJ
Deposited On:18 Jun 2018 08:56
Last Modified:30 Oct 2023 14:31

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