Department of Mechanical Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Shandong University Virginia Tech International Laboratory, Jinan, China.
PLoS One. 2018 Nov 28;13(11):e0207613. doi: 10.1371/journal.pone.0207613. eCollection 2018.
The aerodynamic mechanisms of bat flight have been studied using a numerical approach. Kinematic data acquired using a high resolution motion capture system was employed to simulate the unsteady air flow around a bat's wings. A flapping bat wing contains many degrees of freedom, which make 3D motion tracking challenging. In order to overcome this challenge, an optical motion capture system of 21 cameras was used to reduce wing self-occlusion. Over the course of a meter-long flight, 108 discrete marker points on the bat's wings (Pratt's roundleaf bat, Hipposideros pratti) were tracked. The time evolution of the surface of each wing was computationally reconstructed in 3D space. The resulting kinematic model was interfaced with an unsteady incompressible flow solver using the immersed boundary method (IBM) and large eddy simulation (LES). Verification and validation of the flow simulation were conducted to establish accuracy. The aerodynamic forces calculated from the simulation compared well to the forces theoretically needed to sustain the observed flight trajectory. The transient flow field generated by the simulation allowed for the direct calculation of lift, drag, and power output of the bat during flight. The mean lift coefficient was found to be 3.21, and the flap cycle averaged aerodynamic power output was 1.05 W. Throughout the flap cycle, the planform area of the wings varied up to 46% between the largest and smallest values. During the upstroke, wing rotation was found to mitigate negative lift thereby improving overall flight efficiency. The high resolution motion capture and flow simulation framework presented here has the potential to facilitate the understanding of complex bat flight aerodynamics for both straight and maneuvering flight modes.
使用数值方法研究了蝙蝠飞行的空气动力学机制。使用高分辨率运动捕捉系统获取的运动学数据被用来模拟蝙蝠翅膀周围的非定常气流。拍动的蝙蝠翅膀包含许多自由度,这使得 3D 运动跟踪具有挑战性。为了克服这一挑战,使用了一个由 21 个摄像机组成的光学运动捕捉系统来减少翅膀的自遮挡。在一次 1 米长的飞行过程中,蝙蝠翅膀上的 108 个离散标记点(普拉特叶鼻蝠,Hipposideros pratti)被跟踪。每个翅膀的表面的时间演化在 3D 空间中被计算重建。所得到的运动学模型与使用浸没边界法(IBM)和大涡模拟(LES)的非定常不可压缩流求解器接口。进行了流模拟的验证和验证,以建立准确性。从模拟中计算出的空气动力与理论上维持观察到的飞行轨迹所需的力相比,吻合较好。模拟产生的瞬态流场允许直接计算蝙蝠在飞行过程中的升力、阻力和功率输出。发现平均升力系数为 3.21,扑翼周期平均空气动力输出为 1.05 W。在整个扑翼周期中,翅膀的平面图面积在最大和最小之间变化高达 46%。在上冲程中,发现翅膀的旋转减轻了负升力,从而提高了整体飞行效率。这里提出的高分辨率运动捕捉和流模拟框架有可能促进对直飞和机动飞行模式下复杂蝙蝠飞行空气动力学的理解。