Biomimetic seal whisker sensors for high-sensitivity wake detection and localization.

IF 3.1 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Biao Geng, Qian Xue, Zhiheng Xu, Winston Jiang, Jonathan Sullo, Cadence Brunecz, Jessica Shang, Xudong Zheng
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引用次数: 0

Abstract

Pinnipeds, with highly sensitive whiskers, can detect instantaneous spatial hydrodynamic disturbances, crucial for tracking wakes and their sources. However, no existing engineering solution replicates this for intelligent passive flow perception. To bridge this gap, we propose a low-cost, whisker-inspired sensor designed for use in arrays for underwater sensing and tracking. The sensor integrates metal foil strain gages within a polydimethylsiloxane soft base, coupled with a 3D-printed biomimetic seal whisker model. It exhibits low self-noise in undisturbed flow and high sensitivity in wake detection, identifying flow speeds as low as 0.5 mm s-1-comparable to biological whiskers (∼0.25 mm s-1). The dual strain gage design, placed on adjacent perpendicular sides, allows precise measurement of whisker bending amplitude and direction. The sensor shows excellent linearity, repeatability, fatigue life, short response time and superior dynamic performance in the low-frequency range (⩽35 Hz). Despite its high performance, it is cost-effective and easy to fabricate, requiring no specialized facilities or extensive training, making it ideal for large-scale array deployment. To demonstrate its potential, we tested a nine-sensor array capable of predicting dipole source locations using an artificial neural network model. This work demonstrates the feasibility of whisker-inspired sensing for robust spatial flow perception in underwater environments.

用于高灵敏度尾迹检测和定位的仿生海豹须传感器。
鳍足动物有高度敏感的须,可以探测到瞬间的空间水动力扰动,这对跟踪尾迹及其来源至关重要。然而,目前还没有工程解决方案可以复制这种智能被动流量感知。为了弥补这一差距,我们提出了一种低成本的须状传感器,设计用于水下传感和跟踪阵列。该传感器将金属箔应变片集成在聚二甲基硅氧烷软基内,再加上3d打印的仿生密封须模型。它在不受干扰的流动中表现出低自噪声,在尾迹检测中表现出高灵敏度,识别低至0.5 mm s-1的流速,与生物晶须(~ 0.25 mm s-1)相当。双应变计设计,放置在相邻的垂直侧,允许晶须弯曲幅度和方向的精确测量。该传感器在低频(≤35 Hz)范围内具有良好的线性度、重复性、疲劳寿命、短响应时间和优异的动态性能。尽管它具有高性能,但它具有成本效益和易于制造,不需要专门的设施或广泛的培训,使其成为大规模阵列部署的理想选择。为了证明其潜力,我们测试了一个能够使用人工神经网络模型预测偶极子源位置的九传感器阵列。这项工作证明了须启发传感在水下环境中实现鲁棒空间流感知的可行性。
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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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