Thrust and Drag Estimation of a Tensegrity Robotic Tuna by Linear Acceleration Analysis in Terms of Averaged Equation of Motion

IF 4.9 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY Journal of Bionic Engineering Pub Date : 2024-11-21 DOI:10.1007/s42235-024-00599-z
Hongzhou Jiang, Yanwen Liu
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Abstract

The averaged equation of motion for linear acceleration in the BCF swimming mode was derived using the Elongated Body Theory (EBT) through time averaging. An analytical solution for the linear acceleration swimming velocity was obtained, revealing that the average velocity follows a hyperbolic tangent function of time, which can be considered a semi-empirical formula for linear acceleration swimming. The formula’s parameters, such as the steady swimming velocity and the acceleration time constant, can be determined by conducting experiments on linear acceleration, enabling the estimation of drag coefficient, effective added mass, thrust, and drag force. We developed a tensegrity robotic tuna and conducted a linear acceleration experiment. The results confirmed both the averaged equation of motion and its empirical formula, indicating that the formula is not limited by EBT and can be extended to large amplitude swimming and thunniform swimmers with large aspect ratio caudal fins. This provides researchers with an efficient and easy-to-implement method to estimate the swimming thrust and drag forces through linear acceleration experiments, without the need for complex and expensive flow field and force measurement equipment.

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根据平均运动方程,通过线性加速度分析估算张力结构机器人金枪鱼的推力和阻力
利用拉长体理论(EBT),通过时间平均法推导出了 BCF 游泳模式下线性加速度的平均运动方程。得到了线性加速度游泳速度的解析解,发现平均速度遵循时间的双曲正切函数,可视为线性加速度游泳的半经验公式。该公式的参数,如稳定游泳速度和加速时间常数,可通过线性加速实验确定,从而估算出阻力系数、有效附加质量、推力和阻力。我们开发了一种张力格构金枪鱼机器人,并进行了线性加速实验。结果证实了平均运动方程及其经验公式,表明该公式不受 EBT 的限制,可扩展至大振幅游泳和具有大长宽比尾鳍的鳍状游泳者。这为研究人员通过线性加速度实验估算游泳推力和阻力提供了一种高效且易于实施的方法,而无需复杂昂贵的流场和测力设备。
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来源期刊
Journal of Bionic Engineering
Journal of Bionic Engineering 工程技术-材料科学:生物材料
CiteScore
7.10
自引率
10.00%
发文量
162
审稿时长
10.0 months
期刊介绍: The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to: Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion. Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials. Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices. Development of bioinspired computation methods and artificial intelligence for engineering applications.
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