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从尾流估计滑翔鸟类飞行性能的模型研究。

Investigation of models to estimate flight performance of gliding birds from wakes.

作者信息

Song Jialei, Chen Changyao, Cheney Jorn A, Usherwood James R, Bomphrey Richard J

机构信息

School of Mechanical Engineering, Dongguan University of Technology, Dongguan, Guangdong, China.

School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom.

出版信息

Phys Fluids (1994). 2024 Sep;36(9):091912. doi: 10.1063/5.0226182. Epub 2024 Sep 16.

DOI:10.1063/5.0226182
PMID:39319010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11417957/
Abstract

Mathematical models based on inviscid flow theory are effective at predicting the aerodynamic forces on large-scale aircraft. Avian flight, however, is characterized by smaller sizes, slower speeds, and increased influence of viscous effects associated with lower Reynolds numbers. Therefore, inviscid mathematical models of avian flight should be used with caution. The assumptions used in such models, such as thin wings and streamlined bodies, may be violated by birds, potentially introducing additional error. To investigate the applicability of the existing models to calculate the aerodynamic performance of bird flight, we compared predictions using simulated wakes with those calculated directly from forces on the bird surface, both derived from computational fluid dynamics of a high-fidelity barn owl geometry in free gliding flight. Two lift models and two drag models are assessed. We show that the generalized Kutta-Joukowski model, corrected by the streamwise velocity, can predict not only the lift but also span loading well. Drag was predicted best by a drag model based on the conservation of fluid momentum in a control volume. Finally, we estimated force production for three raptor species across nine gliding flights by applying the best lift model to wake flow fields measured with particle tracking velocimetry.

摘要

基于无粘流理论的数学模型在预测大型飞机的气动力方面很有效。然而,鸟类飞行的特点是尺寸较小、速度较慢,且与较低雷诺数相关的粘性效应影响增大。因此,鸟类飞行的无粘数学模型应谨慎使用。此类模型中使用的假设,如薄翼和流线型机身,可能不适用于鸟类,这可能会引入额外误差。为了研究现有模型在计算鸟类飞行气动力性能方面的适用性,我们将使用模拟尾流的预测结果与直接根据鸟类表面力计算的结果进行了比较,这两种结果均来自自由滑翔飞行中高保真仓鸮几何形状的计算流体动力学。评估了两种升力模型和两种阻力模型。我们表明,通过流向速度修正的广义库塔 - 茹科夫斯基模型不仅可以很好地预测升力,还能很好地预测展向载荷。基于控制体积内流体动量守恒的阻力模型对阻力的预测效果最佳。最后,我们通过将最佳升力模型应用于用粒子跟踪测速法测量的尾流场,估算了三种猛禽在九次滑翔飞行中的力产生情况。

相似文献

1
Investigation of models to estimate flight performance of gliding birds from wakes.从尾流估计滑翔鸟类飞行性能的模型研究。
Phys Fluids (1994). 2024 Sep;36(9):091912. doi: 10.1063/5.0226182. Epub 2024 Sep 16.
2
High aerodynamic lift from the tail reduces drag in gliding raptors.来自尾部的高空气动力升力可降低滑翔猛禽的阻力。
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本文引用的文献

1
Virtual manipulation of tail postures of a gliding barn owl () demonstrates drag minimization when gliding.滑翔猫头鹰()的尾部姿势的虚拟操纵表明滑翔时阻力最小化。
J R Soc Interface. 2022 Feb;19(187):20210710. doi: 10.1098/rsif.2021.0710. Epub 2022 Feb 9.
2
Raptor wing morphing with flight speed.猛禽翼型随飞行速度变化。
J R Soc Interface. 2021 Jul;18(180):20210349. doi: 10.1098/rsif.2021.0349. Epub 2021 Jul 14.
3
Direct Numerical Simulations of a Great Horn Owl in Flapping Flight.大角鸮扑翼飞行的直接数值模拟。
Integr Comp Biol. 2020 Nov 1;60(5):1091-1108. doi: 10.1093/icb/icaa127.
4
High aerodynamic lift from the tail reduces drag in gliding raptors.来自尾部的高空气动力升力可降低滑翔猛禽的阻力。
J Exp Biol. 2020 Feb 10;223(Pt 3):jeb214809. doi: 10.1242/jeb.214809.
5
Avian surface reconstruction in free flight with application to flight stability analysis of a barn owl and peregrine falcon.鸟类在自由飞行中的表面重建及其在仓鸮和游隼飞行稳定性分析中的应用。
J Exp Biol. 2019 May 8;222(Pt 9):jeb185488. doi: 10.1242/jeb.185488.
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Vortices enable the complex aerobatics of peregrine falcons.涡流使游隼能够做出复杂的特技飞行。
Commun Biol. 2018 Apr 5;1:27. doi: 10.1038/s42003-018-0029-3. eCollection 2018.
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Wake analysis of drag components in gliding flight of a jackdaw () during moult.寒鸦换羽期滑翔飞行中阻力成分的尾流分析。
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Aerodynamic consequences of wing morphing during emulated take-off and gliding in birds.鸟类模拟起飞和滑翔过程中翅膀变形的空气动力学后果。
J Exp Biol. 2016 Oct 1;219(Pt 19):3146-3154. doi: 10.1242/jeb.136721. Epub 2016 Jul 29.
9
Wake analysis of aerodynamic components for the glide envelope of a jackdaw (Corvus monedula).寒鸦(小嘴乌鸦)滑翔包线空气动力学部件的尾流分析
J Exp Biol. 2016 May 15;219(Pt 10):1572-81. doi: 10.1242/jeb.132480. Epub 2016 Mar 18.
10
The complex aerodynamic footprint of desert locusts revealed by large-volume tomographic particle image velocimetry.通过大体积层析粒子图像测速技术揭示的沙漠蝗虫复杂空气动力学足迹。
J R Soc Interface. 2015 Jul 6;12(108):20150119. doi: 10.1098/rsif.2015.0119.