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Quieter and Greener rotorcraft: concurrent aerodynamic and acoustic optimization

Wilke, Gunther Andreas (2021) Quieter and Greener rotorcraft: concurrent aerodynamic and acoustic optimization. CEAS Aeronautical Journal, 12 (1), pp. 1-14. Springer. doi: 10.1007/s13272-021-00513-x. ISSN 1869-5590.

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Official URL: https://link.springer.com/article/10.1007/s13272-021-00513-x


Within the DLR project VicToria an aerodynamic and aero-acoustic optimization of helicopter rotor blades is performed. During the optimization, three independent flight conditions are considered: hover, cruise and descent flight. The first two flight conditions drive the power requirements of the helicopter rotor, while the descent flight is the loudest flight condition for current helicopter generations. To drive down the required power and the emitted noise, a multi-objective design approach coupled with surrogate models is utilized to find a Pareto optimal set of rotors. This approach allows to identify the trade-offs to be made when laying emphasis on either goal function. The underlying CFD simulations utilize fourth-order accurate spatial schemes to capture the vortex dominated flow of helicopter rotor blades. The paper presents the validation of the setups, the optimization results and the off-design analysis of a chosen set of blades from the Pareto front. The conclusion is that the utilization of the Pareto front approach is necessary to find good rotor designs, while the utilization of high-order methods allows for efficient CFD setups.

Item URL in elib:https://elib.dlr.de/141931/
Document Type:Article
Title:Quieter and Greener rotorcraft: concurrent aerodynamic and acoustic optimization
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wilke, Gunther AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-1915-5307UNSPECIFIED
Date:April 2021
Journal or Publication Title:CEAS Aeronautical Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-14
Keywords:Rotorcraft, Multi-disciplinary optimization, Surrogate-based optimization, Multi-objective
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Rotorcraft and Validation
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Helicopter, BS
Deposited By: Wilke, Gunther Andreas
Deposited On:16 Jun 2021 13:37
Last Modified:23 Oct 2023 07:34

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