Determination of object position, vortex shedding frequency and flow velocity using artificial lateral line canals

Klein, Adrian; Bleckmann, Horst

doi:10.3762/bjnano.2.32

Cited by 97 publications

(72 citation statements)

References 30 publications

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“…The sensing of the turbulent wake behind a cylinder using a virtual sensor has been described previously by Akanyeti et al [10], and object identification using pressure sensors has been completed for static arrays [11][12][13]. Further wake navigation algorithms have been previously developed based on the predicted pressure signal [14].…”

Section: Introductionmentioning

confidence: 99%

A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow

Chambers

Akanyeti

Venturelli

et al. 2014

J. R. Soc. Interface.

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For underwater vehicles to successfully detect and navigate turbulent flows, sensing the fluid interactions that occur is required. Fish possess a unique sensory organ called the lateral line. Sensory units called neuromasts are distributed over their body, and provide fish with flow-related information. In this study, a three-dimensional fish-shaped head, instrumented with pressure sensors, was used to investigate the pressure signals for relevant hydrodynamic stimuli to an artificial lateral line system. Unsteady wakes were sensed with the objective to detect the edges of the hydrodynamic trail and then explore and characterize the periodicity of the vorticity. The investigated wakes (Kármán vortex streets) were formed behind a range of cylinder diameter sizes (2.5, 4.5 and 10 cm) and flow velocities (9.9, 19.6 and 26.1 cm s 21 ). Results highlight that moving in the flow is advantageous to characterize the flow environment when compared with static analysis. The pressure difference from foremost to side sensors in the frontal plane provides us a useful measure of transition from steady to unsteady flow. The vortex shedding frequency (VSF) and its magnitude can be used to differentiate the source size and flow speed. Moreover, the distribution of the sensing array vertically as well as the laterally allows the Kármán vortex paired vortices to be detected in the pressure signal as twice the VSF.

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Section: Introductionmentioning

confidence: 99%

A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow

Chambers

Akanyeti

Venturelli

et al. 2014

J. R. Soc. Interface.

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show abstract

“…Previous studies investigated this issue [51,82]. However, experiments were done mainly in open frame flow tanks.…”

Section: Cross-correlation Flow Metering: Estimated Bulk Flow Rates Fmentioning

confidence: 99%

“…Therefore, we used the fish lateral line canal system as a model for our bioinspired flow sensor. Previously, we developed artificial CNs made of polydimethylsiloxane (PDMS) and showed that artificial CNs can detect bulk fluid flow and the water motions caused by a vibrating sphere [51,[67][68][69]. With an array of eight artificial CNs, we determined the flow velocity from fluctuations superimposed on the bulk water flow [51].…”

Section: Biomimetic Flow Sensors: State Of the Artmentioning

confidence: 99%

“…The lamella deflection caused a change in light intensity that was detected by the photo transistor. The corresponding electronic circuitry contains only seven parts and amplifies the photo current of the optical detector T1 ( Figure 3B; details can be found in [51]). In combination with a large and soft lamella, this read-out technique gives a high sensitivity at low cost.…”

Section: Biomimetic Transfer: Technical Sensors Based On Canal Neurommentioning

confidence: 99%

“…With the exception of the hot-wire array presented by Yang et al [28], biomimetic approaches picked up fluid motion by means of a flow-induced deflection of a cantilever-like or lamella-shaped structure (an artificial cupula), which was detected by piezo-electric [38], resistive [39][40][41][42][43], capacitive [44][45][46], ionic polymer-metal composite (IPMC)-based [29,47] or optical [48][49][50][51] read-out techniques.…”

Section: Biomimetic Flow Sensors: State Of the Artmentioning

confidence: 99%

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Micro-Machined Flow Sensors Mimicking Lateral Line Canal Neuromasts

et al. 2015

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Fish sense water motions with their lateral line.The lateral line is a sensory system that contains up to several thousand mechanoreceptors, called neuromasts. Neuromasts occur freestanding on the skin and in subepidermal canals. We developed arrays of flow sensors based on lateral line canal neuromasts using a biomimetic approach. Each flow sensor was equipped with a PDMS (polydimethylsiloxane) lamella integrated into a canal system by means of thick-and thin-film technology. Our artificial lateral line system can estimate bulk flow velocity from the spatio-temporal propagation of flow fluctuations. Based on the modular sensor design, we were able to detect flow rates in an industrial application of tap water flow metering. Our sensory system withstood water pressures of up to six bar. We used finite element modeling to study the fluid flow inside the canal system and how this flow depends on canal dimensions. In a second set of experiments, we separated the flow sensors from the main stream by means of a flexible membrane. Nevertheless, these biomimetic neuromasts were still able to sense flow fluctuations. Fluid separation is a prerequisite for flow measurements in medical and pharmaceutical applications.

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Recent Advances in PDMS Optical Waveguides: Properties, Fabrication, and Applications

Zimmermann,

Amouzou,

Ung

2024

Advanced Optical Materials

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Poly(dimethylsiloxane) (PDMS) has emerged as a promising polymer for fabricating optical waveguides. Its optical transparency, stretchability, flexibility, biocompatibility, and facile processing are a complement to common optical materials that are more brittle and stiff such as fused silica, polystyrene (PS), and poly(methyl methacrylate) (PMMA). Although PDMS is not a new material, with its first synthesis dating back to the early twentieth century, recent decades have seen an increased effort to expand its use in optical waveguides beyond conventional rubber applications. This review compiles established concepts and new advancements in PDMS science to shed light on limitations and new opportunities to better harness PDMS’ potential for optical waveguiding. With the materials science tetrahedron in mind (structure, properties, processing, and performance), this review explores the state‐of‐the‐art in PDMS waveguide technology and exposes relevant basic concepts pertaining to its physicochemical properties. The goal is to equip the photonics community with knowledge to further expand PDMS waveguide technology. The review covers three main topics: PDMS’ key properties (chemical, optical, thermal, and mechanical, besides biological and environmental aspects); PDMS waveguide fabrication techniques (processing, refractive index tuning, and post‐processing); and its applications. The review concludes with a discussion of current challenges and future prospects.

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Determination of object position, vortex shedding frequency and flow velocity using artificial lateral line canals

Cited by 97 publications

References 30 publications

A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow

A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow

Micro-Machined Flow Sensors Mimicking Lateral Line Canal Neuromasts

Recent Advances in PDMS Optical Waveguides: Properties, Fabrication, and Applications

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