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Tuna robotics: A high-frequency experimental platform exploring the performance space of swimming fishes.金枪鱼机器人:一个探索游泳鱼类性能空间的高频实验平台。
Sci Robot. 2019 Sep 18;4(34). doi: 10.1126/scirobotics.aax4615.
2
Tunabot Flex: a tuna-inspired robot with body flexibility improves high-performance swimming.金枪鱼启发的柔性机器人提高高性能游泳能力
Bioinspir Biomim. 2021 Mar 5;16(2). doi: 10.1088/1748-3190/abb86d.
3
How zebrafish turn: analysis of pressure force dynamics and mechanical work.斑马鱼如何转向:压力动力学与机械功分析
J Exp Biol. 2020 Aug 24;223(Pt 16):jeb223230. doi: 10.1242/jeb.223230.
4
A bio-inspired robotic fish utilizes the snap-through buckling of its spine to generate accelerations of more than 20g.一种受生物启发的机器鱼利用其脊柱的快速屈曲来产生超过20g的加速度。
Bioinspir Biomim. 2020 Aug 21;15(5):055006. doi: 10.1088/1748-3190/ab9a14.
5
Airfoil-like mechanics generate thrust on the anterior body of swimming fishes.翼型力学在游泳鱼类的前体产生推力。
Proc Natl Acad Sci U S A. 2020 May 12;117(19):10585-10592. doi: 10.1073/pnas.1919055117. Epub 2020 Apr 27.
6
Thrust generation during steady swimming and acceleration from rest in anguilliform swimmers.在仿鱼游动中稳定游动和从静止状态加速时的推力产生。
J Exp Biol. 2019 Nov 18;222(Pt 22):jeb212464. doi: 10.1242/jeb.212464.
7
Red muscle activity in bluegill sunfish Lepomis macrochirus during forward accelerations.蓝鳃太阳鱼(Lepomis macrochirus)在向前加速过程中的红肌活动。
Sci Rep. 2019 May 30;9(1):8088. doi: 10.1038/s41598-019-44409-7.
8
Hydrodynamics of linear acceleration in bluegill sunfish, .蓝鳃太阳鱼的线性加速度水动力
J Exp Biol. 2018 Nov 30;221(Pt 23):jeb190892. doi: 10.1242/jeb.190892.
9
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.DeepLabCut:基于深度学习的用户自定义身体部位无标记姿态估计。
Nat Neurosci. 2018 Sep;21(9):1281-1289. doi: 10.1038/s41593-018-0209-y. Epub 2018 Aug 20.
10
Understanding Fish Linear Acceleration Using an Undulatory Biorobotic Model with Soft Fluidic Elastomer Actuated Morphing Median Fins.利用具有软流体力弹性体驱动的可变形中鳍的波动仿生机器人模型来理解鱼类的线加速度。
Soft Robot. 2018 Aug;5(4):375-388. doi: 10.1089/soro.2017.0085. Epub 2018 Apr 10.

金枪鱼机器人:快速线性加速度的流体动力学

Tuna robotics: hydrodynamics of rapid linear accelerations.

作者信息

Thandiackal Robin, White Carl H, Bart-Smith Hilary, Lauder George V

机构信息

Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA.

Bio-Inspired Engineering Research Laboratory (BIERL), Department of Mechanical and Aerospace Engineering, University of Virginia, 122 Engineer's Way, Charlottesville, VA 22903, USA.

出版信息

Proc Biol Sci. 2021 Feb 24;288(1945):20202726. doi: 10.1098/rspb.2020.2726. Epub 2021 Feb 17.

DOI:10.1098/rspb.2020.2726
PMID:33593180
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8190629/
Abstract

Fish routinely accelerate during locomotor manoeuvres, yet little is known about the dynamics of acceleration performance. Thunniform fish use their lunate caudal fin to generate lift-based thrust during steady swimming, but the lift is limited during acceleration from rest because required oncoming flows are slow. To investigate what other thrust-generating mechanisms occur during this behaviour, we used the robotic system termed Tunabot Flex, which is a research platform featuring yellowfin tuna-inspired body and tail profiles. We generated linear accelerations from rest of various magnitudes (maximum acceleration of [Formula: see text] at [Formula: see text] tail beat frequency) and recorded instantaneous electrical power consumption. Using particle image velocimetry data, we quantified body kinematics and flow patterns to then compute surface pressures, thrust forces and mechanical power output along the body through time. We found that the head generates net drag and that the posterior body generates significant thrust, which reveals an additional propulsion mechanism to the lift-based caudal fin in this thunniform swimmer during linear accelerations from rest. Studying fish acceleration performance with an experimental platform capable of simultaneously measuring electrical power consumption, kinematics, fluid flow and mechanical power output provides a new opportunity to understand unsteady locomotor behaviours in both fishes and bioinspired aquatic robotic systems.

摘要

鱼类在运动 maneuvers 过程中经常加速,但对加速性能的动力学了解甚少。新月形尾鳍鱼类在稳定游泳时利用其新月形尾鳍产生基于升力的推力,但在从静止状态加速时升力有限,因为所需的迎面水流较慢。为了研究在这种行为过程中还会出现哪些其他推力产生机制,我们使用了名为 Tunabot Flex 的机器人系统,它是一个具有受黄鳍金枪鱼启发的身体和尾部轮廓的研究平台。我们从静止状态产生了各种大小的线性加速度(在[公式:见文本]尾拍频率下最大加速度为[公式:见文本]),并记录了瞬时电功率消耗。利用粒子图像测速数据,我们量化了身体运动学和流动模式,然后计算了随时间沿身体的表面压力、推力和机械功率输出。我们发现头部产生净阻力,而后部身体产生显著的推力,这揭示了这种新月形游泳者在从静止状态进行线性加速时,除了基于升力的尾鳍之外的另一种推进机制。使用一个能够同时测量电功率消耗、运动学、流体流动和机械功率输出的实验平台来研究鱼类的加速性能,为理解鱼类和受生物启发的水生机器人系统中的非稳定运动行为提供了新的机会。