Effect of blade number on rotor efficiency and noise emission at hovering condition
Effect of blade number on rotor efficiency and noise emission at hovering condition
The configuration of rotors significantly impacts the aerodynamic efficiency and noise emission of multicopters. To date, there are no general guidelines regarding how many blades a rotor should use for optimal aerodynamic performance and minimum noise emission. From the perspectives of aerodynamics and acoustics during the hovering condition, two key parameters, i.e., figure of merit (FM) and overall sound pressure level (OASPL), are evaluated to determine the optimal blade number (BN). The number of blades chosen in this study is BN = 2–6, which is largely observed in commercial multicopters. A genetic algorithm was developed to optimize blade design for each BN-rotor configuration. The individuals are evaluated by steady computational fluid dynamics (CFD) simulations and acoustic analogy for optimizations, and the detailed analyses of optimal ones are further explored by unsteady CFD simulations. The planform of the baseline blade is maintained, and the radial distribution of twist angles is the parameter for optimization. While generating the same thrust, the value of FM keeps increasing as the number of blades increases from 2 to 4, after which the FM value reaches a plateau. The value of OASPL keeps decreasing as the number of blades increases. The reason for the FM and OASPL value trends vs blade number is explained with the numerical simulation results, and a general design rule is suggested at the end.
Li, Pengyu
5c0afdaa-e830-46fd-a480-cebc822db37e
Yang, Yannian
be5f9cce-200e-4133-be45-9934e76bca74
Li, Qingxi
25d1b0ff-8fd5-4ab7-9ddc-cbc076dfcdb1
Arcondoulis, Elias J. G.
4e0c8bdf-1810-4d4e-b8e8-9ba9ccd6b746
Noack, Bernd R.
0b41284f-5292-4a2e-86e6-0768e0c364f3
Liu, Yu
cf1371aa-096b-417e-a43f-42e2d53fdf67
1 February 2024
Li, Pengyu
5c0afdaa-e830-46fd-a480-cebc822db37e
Yang, Yannian
be5f9cce-200e-4133-be45-9934e76bca74
Li, Qingxi
25d1b0ff-8fd5-4ab7-9ddc-cbc076dfcdb1
Arcondoulis, Elias J. G.
4e0c8bdf-1810-4d4e-b8e8-9ba9ccd6b746
Noack, Bernd R.
0b41284f-5292-4a2e-86e6-0768e0c364f3
Liu, Yu
cf1371aa-096b-417e-a43f-42e2d53fdf67
Li, Pengyu, Yang, Yannian, Li, Qingxi, Arcondoulis, Elias J. G., Noack, Bernd R. and Liu, Yu
(2024)
Effect of blade number on rotor efficiency and noise emission at hovering condition.
Physics of Fluids, 36 (2), [027142].
(doi:10.1063/5.0190338).
Abstract
The configuration of rotors significantly impacts the aerodynamic efficiency and noise emission of multicopters. To date, there are no general guidelines regarding how many blades a rotor should use for optimal aerodynamic performance and minimum noise emission. From the perspectives of aerodynamics and acoustics during the hovering condition, two key parameters, i.e., figure of merit (FM) and overall sound pressure level (OASPL), are evaluated to determine the optimal blade number (BN). The number of blades chosen in this study is BN = 2–6, which is largely observed in commercial multicopters. A genetic algorithm was developed to optimize blade design for each BN-rotor configuration. The individuals are evaluated by steady computational fluid dynamics (CFD) simulations and acoustic analogy for optimizations, and the detailed analyses of optimal ones are further explored by unsteady CFD simulations. The planform of the baseline blade is maintained, and the radial distribution of twist angles is the parameter for optimization. While generating the same thrust, the value of FM keeps increasing as the number of blades increases from 2 to 4, after which the FM value reaches a plateau. The value of OASPL keeps decreasing as the number of blades increases. The reason for the FM and OASPL value trends vs blade number is explained with the numerical simulation results, and a general design rule is suggested at the end.
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Published date: 1 February 2024
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Local EPrints ID: 506127
URI: http://eprints.soton.ac.uk/id/eprint/506127
ISSN: 1070-6631
PURE UUID: 0792cfbe-343e-42fc-8c43-e7919ac4e098
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Date deposited: 28 Oct 2025 18:34
Last modified: 29 Oct 2025 03:15
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Author:
Pengyu Li
Author:
Yannian Yang
Author:
Qingxi Li
Author:
Elias J. G. Arcondoulis
Author:
Bernd R. Noack
Author:
Yu Liu
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