XIE Xinglong, ZHU Qinghua, QIAO Moheng, et al. Parametric influence numerical simulation study on blade serrations for noise reduction[J]. Advances in Aeronautical Science and Engineering, 2026, 17(3): 144-154.(in Chinese)
XIE Xinglong, ZHU Qinghua, QIAO Moheng, et al. Parametric influence numerical simulation study on blade serrations for noise reduction[J]. Advances in Aeronautical Science and Engineering, 2026, 17(3): 144-154.(in Chinese)DOI: 10.16615/j.cnki.1674-8190.2026.03.15.
Parametric influence numerical simulation study on blade serrations for noise reduction
At present, the rotors of multi-rotor drones have serious noise problems. This study investigates the influence and noise reduction mechanism of trailing-edge serrations on rotor aerodynamic noise based on bionics principles. Using a variable-chord-length dual-blade rotor as the baseline model, seven serrated blades with different serration height (
A
) and width (
λ
) parameters are designed by inwardly cutting the trailing edge of the blades. The computational fluid dynamics (CFD) method, combined with sliding mesh technology, is employed to simulate the hover flow field. Detached eddy simulation (DES) and unsteady flow field data are u
tilized to solve the FW-H equations for predicting noise on the rotor tip plane and rotor shaft plane. The research results indicate that trailing-edge serrations can effectively reduce rotor noise. However, larger serration heights excessively reduce the blade lift area, significantly impairing aerodynamic performance. Wider serration widths are less effective at breaking down large vortex structures, hindering mid-to-high frequency noise suppression. Therefore, seeking an appropriate tooth height ratio is crucial for evaluating the comprehensive performance of the blade. Considering both aerodynamic performance and noise reduction effectiveness, the blade with serration parameters
A
6
λ
10 demonstrated optimal performance. Its hover efficiency is comparable to the original blade, while the overall sound pressure level (OASPL) is reduced by approximately 1.2 dB compared to the original blade.
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references
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