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Hydrodynamic Performance of an Undulatory Robot: Functional Roles of the Body and Caudal Fin Locomotion

机译:过度机器人的流体动力学性能:身体和尾鳍运动的功能作用

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摘要

Both body undulation and caudal fin flapping play essential locomotive roles while a fish is swimming, but how these two affect the swimming performance and hydrodynamics of fish individually is yet to be known. We implemented a biomimetic robotic fish that travel along a servo towing system, which can be regarded as "treadmill" of the model. Hydrodynamics was studied as a function of the principal kinetic parameters of the undulatory body and caudal fin of the model in a self-propelled condition, under which the time-averaged measured axial net force becomes zero. Thrust efficiency was estimated from two-dimensional digital particle image velocimetry (DPIV) measurements in the horizontal and mid-caudal fin plane. The Single-Row Reverse Karman wake (2S) is commonly observed in many previous studies of live fish swimming. However, we show that a Double-Row Two-Paired vortices (2P) wake was generated by the robotic model for most kinetic parameter combinations. Interestingly, the 2S wake emerged within the results of a narrow range of robotic caudal fin pitch angles (0 <=theta <= 10 degrees), occurring concurrently with enhanced thrust efficiency. We also show that, compared with the effect of body wavelength (lambda), the wake structure behind the robotic swimmer is more sensitive to the Strouhal number (St) and caudal fin pitch angle (theta).
机译:在鱼类游泳时,身体波动和尾鳍扑振起到必要的机车角色,但这两个两者如何影响鱼类的游泳性能和流体动力学尚未知道。我们实施了一种沿着伺服牵引系统行进的生物摩托机器人鱼类,其可以被视为模型的“跑步机”。研究了流体动力学作为在自推进条件下模型的模型的主要动力学参数和尾鳍的函数,在该模型中的时间平均测量的轴向净力变为零。从水平和中尾鳍平面中的二维数字粒子图像速度(DPIV)测量估计推力效率。在众多对现场鱼类游泳的研究中通常观察到单排反向Karman唤醒(2S)。然而,我们表明,用于大多数动力学参数组合的机器人模型产生双列双链涡流(2P)唤醒。有趣的是,2S唤醒在窄范围的机器人尾鳍俯仰角(0 <= Thea <= 10度)的结果内出现,并同时以增强的推力效率发生。我们还表明,与体波长(Lambda)的影响相比,机器人游泳运动员背后的唤醒结构对Strouhal数(ST)和尾部鳍桨距角(θ)更敏感。

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