自由游动的机器人金枪鱼的动力能力

Nicholas Noviasky, Alexander Matta, J. Bayandor
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摘要

随着我们对海洋和海洋生物的了解越来越多,对有效的水上运输方式的需求变得越来越明显。从传统的基于螺旋桨的系统中退一步,我们向大自然和数百万年的自然选择寻找灵感。成功的设计因生物的生活方式而异。从鳐鱼到水母,所使用的推进方法都是为特定目的量身定制的。考虑到海洋的浩瀚和我们探索海洋的愿望,一种快速有效的移动方式将非常适合这项任务。这种类型的游泳者的一个很好的例子可以在金枪鱼属中找到。金枪鱼依靠一种基于升力的推进系统,被归类为鳍状游泳。这种推进方法的大部分推力来自尾鳍和尾部的一部分。当尾巴在水中扫过时,有趣的漩涡结构从月状鳍的后缘脱落。随着与鱼的运动平行的速度分量,两个独立的漩涡从尾鳍的顶部和底部内表面脱落,并在鱼的纵向中轴线处相遇。这些可以从尾鳍后面垂直于体长轴的平面内的流速分量分析中得到最好的可视化。随着时间的推移,一个反向卡门涡街是由多个尾拍的涡组合而成的。建立了一个机器人金枪鱼和CFD模型,以最小的关节数来近似金枪鱼的均匀游动。采用一种改进的苏格兰轭机构将无刷直流电动机的均匀旋转转换为模仿金枪鱼尾巴的振荡运动。金枪鱼的动态CFD模型采用ICEM CFD 18.2中创建的偏移网格技术,并在ANSYS Fluent 18.2中进行仿真。该模型在尾部开始和鳍的底部被驱动,以表示均匀游泳。当稳定的水流流经模型时,金枪鱼的身体保持静止。流速的选择是为了近似于大小和拍打尾巴频率相当的金枪鱼的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locomotive Capabilities of a Free-Swimming Robotic Tuna
As we try and understand more about the oceans and the creatures that inhabit them, the need for effective modes of aquatic transportation becomes abundantly clear. Taking a step back from traditional propeller-based systems, we look toward nature and the millions of years of natural selection to find inspiration. The successful designs that have prospered vary greatly from creature to creature depending on their lifestyle. From rays to jellyfish, the propulsion methods used are tailored for a specific purpose. Considering the vastness of the oceans and our desire to explore them, a quick and efficient mode of locomotion would be well suited for this task. A great example of this type of swimmer can be found within the genus Thunnus. Tuna rely on a lift-based propulsion system classified as thunniform swimming. The majority of thrust from this propulsion method is derived from the caudal fin and part of the tail. As the tail sweeps through the water, interesting vortex structures are shed from the trailing edge of the lunate fin. Along with velocity components that travel parallel to the movement of the fish, two separate vortices are shed from the top and bottom inner surfaces of the caudal fin and meet at the lengthwise center axis of the fish. These can be best visualized from the flow velocity components analyzed within a plane just behind the caudal fin and perpendicular to the body length axis. Over time, a reverse Karman vortex street is formed from the combination of vortices from multiple tail beats. A robotic tuna and CFD model were created with the minimum number of joints to approximate thunniform swimming. A modified scotch yoke mechanism was used to convert uniform rotation of a brushless DC motor to oscillatory motion that mimics the tail of a tuna. A servo is mounted on the tail to provide an adjustable angle of attack for the caudal fin. The dynamic CFD model of the tuna employs overset meshing techniques created in ICEM CFD 18.2 and is simulated within ANSYS Fluent 18.2. The model is actuated at the start of the tail and the base of the fin to represent thunniform swimming. The body of the tuna is held static as steady flow is passed around the model. The flow velocity was chosen as an approximation of the speed of a tuna of comparable size and tail-beat frequency.
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