A revisit of the tonal noise of small rotors

In this study, asymptotic analysis of the frequency-domain formulation to compute the tonal noise of the small rotors in the now ubiquitously multi-rotor powered drones is conducted. Simple scaling laws are proposed to evaluate the impacts of the influential parameters such as blade number, flow spe...

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Published inProceedings of the Royal Society. A, Mathematical, physical, and engineering sciences Vol. 476; no. 2244; pp. 1 - 21
Main Authors Zhong, Siyang, Zhou, Peng, Fattah, Ryu, Zhang, Xin
Format Journal Article
LanguageEnglish
Published England Royal Society 01.12.2020
The Royal Society Publishing
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Summary:In this study, asymptotic analysis of the frequency-domain formulation to compute the tonal noise of the small rotors in the now ubiquitously multi-rotor powered drones is conducted. Simple scaling laws are proposed to evaluate the impacts of the influential parameters such as blade number, flow speed, rotation speed, unsteady motion, thrust and observer angle on the tonal noise. The rate of noise increment with thrust (or rotational speed) is determined by orders of blade passing frequency harmonics and the unsteady motion. The axial mean flow influence can be approximated by quadratic functions. At given thrust, the sound decreases rapidly with the radius and blade number as the surface pressure becomes less intensive. The higher tonal harmonics are significantly increased if unsteady motions, although of small-amplitude, are existed, as indicated by the defined sensitivity function, emphasizing that the unsteady motions should be avoided for quiet rotor designs. The scaling laws are examined by comparing with the full computations of the rotor noise using the frequency-domain method, the implementation of which has been validated by comparing with experiments. Good data collapse is obtained when the proposed scaling laws, which highlights the dominant influence of the design parameters, are incorporated.
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Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5232440.
ISSN:1364-5021
1471-2946
DOI:10.1098/rspa.2020.0491