Hydrodynamic pressure sensing for a biomimetic robotic fish caudal fin integrated with a resistive pressure sensor.

IF 3.1 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY Bioinspiration & Biomimetics Pub Date : 2024-08-22 DOI:10.1088/1748-3190/ad6d21
Quanliang Zhao, Chao Zhang, Jinghao Chen, Mengying Zhang, Junjie Yuan, Lei Zhao, Jie Zhang, Can Huang, Guangping He
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Abstract

Micro-sensors, such as pressure and flow sensors, are usually adopted to attain actual fluid information around swimming biomimetic robotic fish for hydrodynamic analysis and control. However, most of the reported micro-sensors are mounted discretely on body surfaces of robotic fish and it is impossible to analyzed the hydrodynamics between the caudal fin and the fluid. In this work, a biomimetic caudal fin integrated with a resistive pressure sensor is designed and fabricated by laser machined conductive carbon fibre composites. To analyze the pressure exerted on the caudal fin during underwater oscillation, the pressure on the caudal fin is measured under different oscillating frequencies and angles. Then a model developed from Bernoulli equation indicates that the maximum pressure difference is linear to the quadratic power of the oscillating frequency and the maximum oscillating angle. The fluid disturbance generated by caudal fin oscillating increases with an increase of oscillating frequency, resulting in the decrease of the efficiency of converting the kinetic energy of the caudal fin oscillation into the pressure difference on both sides of the caudal fin. However, perhaps due to the longer stability time of the disturbed fluid, this conversion efficiency increases with the increase of the maximum oscillating angle. Additionally, the pressure variation of the caudal fin oscillating with continuous different oscillating angles is also demonstrated to be detected effectively. It is suggested that the caudal fin integrated with the pressure sensor could be used for sensing thein situflow field in real time and analyzing the hydrodynamics of biomimetic robotic fish.

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集成了电阻式压力传感器的生物仿真机器人鱼尾鳍的水动力压力传感。
通常采用压力和流量传感器等微型传感器来获取游动的仿生机器鱼周围的实际流体信息,以进行流体力学分析和控制。然而,大多数报道的微型传感器都是独立安装在机器鱼的身体表面,无法分析尾鳍与流体之间的流体力学。在这项工作中,利用激光加工导电碳纤维复合材料设计并制造了一个集成了电阻式压力传感器的仿生尾鳍。为了分析水下振荡时尾鳍所受的压力,测量了不同振荡频率和角度下尾鳍所受的压力。根据伯努利方程建立的模型表明,最大压力差与振荡频率和最大振荡角度的二次方成线性关系。尾鳍摆动产生的流体扰动随着摆动频率的增加而增加,导致尾鳍摆动动能转化为尾鳍两侧压差的效率降低。不过,也许是由于扰动流体的稳定时间较长,这种转换效率会随着最大摆动角度的增加而提高。此外,尾鳍以连续不同的摆动角度摆动时的压力变化也能被有效检测到。建议将尾鳍与压力传感器集成在一起,用于实时感知原位流场和分析仿生机器鱼的流体力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioinspiration & Biomimetics
Bioinspiration & Biomimetics 工程技术-材料科学:生物材料
CiteScore
5.90
自引率
14.70%
发文量
132
审稿时长
3 months
期刊介绍: Bioinspiration & Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a pipeline, facilitating the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology. The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include: Systems, designs and structure Communication and navigation Cooperative behaviour Self-organizing biological systems Self-healing and self-assembly Aerial locomotion and aerospace applications of biomimetics Biomorphic surface and subsurface systems Marine dynamics: swimming and underwater dynamics Applications of novel materials Biomechanics; including movement, locomotion, fluidics Cellular behaviour Sensors and senses Biomimetic or bioinformed approaches to geological exploration.
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