journal article·2022-11Open access

3D Printed Graphene Piezoresistive Microelectromechanical System Sensors to Explain the Ultrasensitive Wake Tracking of Wavy Seal Whiskers

Xingwen Zheng, Amar M. Kamat, Anastasiia O. Krushynska, Ming Cao, Ajay Giri Prakash Kottapalli

Advanced Functional Materials· Volume 32· Issue 47

Abstract

Abstract Many marine animals perform fascinating survival hydrodynamics and perceive their surroundings through optimally evolved sensory systems. For instance, phocid seal whiskers have undulations that allow them to resist noisy self‐induced vortex‐induced vibrations (VIV) while locking their vibration frequencies to wakes generated by swimming fishes. In this study, fully 3D‐printed microelectromechanical systems (MEMS) sensors with high gauge factor graphene nanoplatelets piezoresistors are developed to explain the exquisite sensitivity of whisker‐inspired structures to upstream wakes. The sensors are also used to measure natural frequencies of excised harbor (Phoca vitulina) and grey (Halichoerus grypus) seal whiskers and determine the effect of whisker orientation on the VIV, which can explain the possible natural orientation of whiskers during active hunting. Experimental investigations conducted in a recirculating water flume show that whisker‐inspired sensors successfully sense an upstream wake located up to 10× the whisker diameter by locking to the frequency of the wake generator, thus mimicking the sensing mechanism of the seal whisker. The combination of VIV reduction and frequency‐locking with the upstream wake generator demonstrates the whisker‐inspired sensor's high signal‐to‐noise ratio, indicating its efficiency in long‐distance wake sensing as well as its potential as an alternative to visual and acoustic sensors in underwater robots.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Underwater Vehicles and Communication Systems · Fluid Dynamics Simulations and Interactions · Marine animal studies overview

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Advanced Production Engineering Group Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen 9747AG Groningen The Netherlands

Discrete Technology and Production Automation Group Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen 9747AG Groningen The Netherlands

Computational Mechanical and Materials Engineering Group Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen 9747AG Groningen The Netherlands

MIT Sea Grant College Program Massachusetts Institute of Technology 77 Massachusetts, Avenue Cambridge MA 02139 USA

Funding

Rijksuniversiteit Groningen · European Research Council · Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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