Lawley Jonathan, Ben-Gida Hadar, Krishnamoorthy Krishnan, Hackett Erin E, Kopp Gregory A, Morgan Gareth, Guglielmo Christopher G, Gurka Roi
Department of Coastal and Marine Systems Science, Coastal Carolina University, Conway, SC 29579, USA.
Faculty of Aerospace Engineering, Technion, Haifa 32000, Israel.
Integr Org Biol. 2019 Feb 19;1(1):obz001. doi: 10.1093/iob/obz001. eCollection 2019.
The mechanisms associated with the ability of owls to fly silently have been the subject of scientific interest for many decades and may be relevant to bio-inspired design to reduce noise of flapping and non-flapping flying devices. Here, we characterize the near wake dynamics and the associated flow structures produced during flight of the Australian boobook owl (). Three individual owls were flown at 8 ms in a climatic avian wind tunnel. The velocity field in the wake was sampled at 500 Hz using long-duration high-speed particle image velocimetry (PIV) while the wing kinematics were imaged simultaneously using high speed video. The time series of velocity maps that were acquired over several consecutive wingbeat cycles enabled us to characterize the wake patterns and to associate them with the phases of the wingbeat cycle. We found that the owl wake was dramatically different from other birds measured under the same flow conditions (i.e., western sandpiper, and European starling, ). The near wake of the owl did not exhibit any apparent shedding of organized vortices. Instead, a more chaotic wake pattern was observed, in which the characteristic scales of vorticity (associated with turbulence) are substantially smaller in comparison to other birds. Estimating the pressure field developed in the wake shows that owls reduce the pressure Hessian (i.e., the pressure distribution) to approximately zero. We hypothesize that owls manipulate the near wake to suppress the aeroacoustic signal by controlling the size of vortices generated in the wake, which are associated with noise reduction through suppression of the pressure field. Understanding how specialized feather structures, wing morphology, or flight kinematics of owls contribute to this effect remains a challenge for additional study.
几十年来,与猫头鹰无声飞行能力相关的机制一直是科学研究的热点,这可能与受生物启发的设计相关,以降低扑翼和非扑翼飞行装置的噪音。在此,我们描述了澳大利亚鹰鸮飞行过程中的近尾流动力学及相关流动结构。三只个体鹰鸮在气候模拟鸟类风洞中以8米/秒的速度飞行。使用长时间高速粒子图像测速技术(PIV)以500赫兹的频率对尾流中的速度场进行采样,同时使用高速视频对翅膀运动学进行同步成像。在几个连续的翅膀拍动周期内获取的速度图时间序列,使我们能够描述尾流模式,并将它们与翅膀拍动周期的阶段联系起来。我们发现,在相同流动条件下(即西部鹬和欧洲椋鸟)测量的鹰鸮尾流与其他鸟类有显著不同。鹰鸮的近尾流没有表现出任何明显的有组织涡旋脱落。相反,观察到一种更混乱的尾流模式,其中与湍流相关的涡度特征尺度与其他鸟类相比要小得多。对尾流中产生的压力场进行估计表明,鹰鸮将压力海森矩阵(即压力分布)降低到大约为零。我们推测,鹰鸮通过控制尾流中产生的涡旋大小来操纵近尾流,以抑制气动声学信号,而这与通过抑制压力场来降低噪音有关。了解猫头鹰特殊的羽毛结构、翅膀形态或飞行运动学如何促成这种效果,仍然是有待进一步研究的挑战。