Wavelet analysis of the coherent structures in airfoil leading-edge separation control by bionic coverts
Wavelet analysis of the coherent structures in airfoil leading-edge separation control by bionic coverts
复制标题
仿生隐蔽控制翼型前缘分离相干结构的小波分析
DOI:
10.1177/09544062221135436
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发表时间:
2022-11
期刊:
影响因子:
--
通讯作者:
Nan Jiang
中科院分区:
文献类型:
--
作者:
Xuan Gong;Xingyu Ma;Ziye Fan;Xin Zhang;Nan Jiang
We experimentally investigate leading-edge separation control effect by bionic coverts with various materials and.sawteeth shapes in wind tunnel tests. The artificial flexible coverts, bio-inspired by bird covert feathers on upper wings,.are hinged at the trailing-edge of a NACA 0018 airfoil at a constant high angle-of-attack of 15. The chord-based.Reynolds number is 1.0 3 105 in the generic range of bird flight in nature and low-speed fixed-wing unmanned aerial.vehicles. The velocity profiles in the wake flow are measured by multi-channel hot-wire anemometer. By comparing the.mean velocity profiles and root-mean-square velocities, we find the trailing-edge coverts reduced the thickness of the.shear layers by 0.05 chord length. The turbulence intensity of the trailing- and leading-edge shear layers are reduced.34% and 5%, respectively. Further wavelet analysis reveals that the large sizes of vortices are considerably suppressed.in the time-frequency spectrum. Based on the hot-wire datasets, we develop a novel multi-dimensional genetic.algorithm to analyze the featured ordered structures in the shear layers and quantitatively characterize the amplitude.modulation between the large- and small-scale flow structures. As a result, we find that the coverts-generated.perturbations induce an increase in the high-frequency (f = 91.2 Hz) coherence between the leading- and trailing-edge.shear layers from 40% to 70%, leading to a reduction of the flow separation bubble on the upper wing. The present.work reveals that the artificial bionic coverts have leading-edge flow separation control effectiveness and shows the.engineering potential for aircrafts and unmanned aerial vehicles.
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影响因子:
8.6
作者:
SHE, ZS;LEVEQUE, E
通讯作者:
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影响因子:
3.4
作者:
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DOI:
10.1177/09544062211020773
发表时间:
2021-06
期刊:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
影响因子:
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作者:
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通讯作者:
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作者:
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