Three-dimensional viscous wake flow in fish swimming - A CFD study

Macias, Marianela M.; Souza, Igor F.; Brasil, Antônio; Oliveira, Taygoara Felamingo de

doi:10.1016/j.mechrescom.2020.103547

Cited by 27 publications

(18 citation statements)

References 21 publications

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“…Extensive research has been carried out on fish kinematics during the past couple of decades. [36][37][38] It has been reported that over 70% of the instantaneous force in Fast-start swimming is generated by the tail rather than the fins, while the different characteristics of fishtail oscillations can be used to identify the motion state and specific moving postures of fish, [39,40] which inspires us to college the information from moving fishtail to monitor fish behaviors. Accordingly, an FDSP that can be integrated onto the fishtail has been designed, which is shown in Figure 1a.…”

Section: Resultsmentioning

confidence: 99%

Fish‐Wearable Data Snooping Platform for Underwater Energy Harvesting and Fish Behavior Monitoring

Wang

Shi

Yang

et al. 2022

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are visual analysis and acoustic monitoring technology. [11,12] The visual method based on motion videos and images brings little interference to fish, whereas the lighting requirement is an inevitable precondition, which means full-time monitoring of dynamic behavior in all the underwater conditions (clean or polluted) may be a problem. [13,14] It is important to note that the behavior and performance of fish swimming show certain regularity when they are exposed to polluted/dirty water. The detection technique based on sound wave signals has a long undersea detection distance. However, due to the finite information carried by acoustic waves and the time-delay characteristic, it is difficult to obtain real-time information of fish behaviors. [15] Therefore, it is still necessary to find a different monitoring strategy that can provide real-time and highresolution detection of fish behavior in all kinds of underwater conditions. On the other hand, the development of the Triboelectric Nanogenerator (TENG) has brought out various self-powered sensor and detection systems. [16][17][18] The high sensitivity to mechanical stimuli makes TENG suitable for recording various motion and muscle information. [19] TENG has many advantages, such as simple structure, low manufacturing cost, high energy conversion efficiency, and so on. [20] Abundant TENG-based devices, [21,22] such as electronic skin, self-powered sensors, energy harvesters, have emerged considerably. [23] Meanwhile, soft materials such as silicone, polydimethylsiloxane (PDMS), and textiles have become favored materials for the production of TENG recently, [24][25][26][27] making TENG suitable for monitoring muscle movement, respiratory rate, and pulse wave. [28][29][30][31][32] For some extreme cases, the sensitivity of TENGbased wearable sensors can even reach 5.16 V/0.01°. [33] Hence, a self-powered system based on the combination of TENGs and flexible waterproof materials can be used as a new approach to track fish movement patterns in a water environment. However, the wearable sensor designed for a human may not be easily adapted to the fish body, while the screen effect of the water also jeopardizes the stability. Furthermore, fish movements are more irregular and strenuous than humans and the underwater environment is full of uncertainty. Therefore, it is necessary to have a sensor with better robustness, lightweight, and flexibility to fit fish bodies. [34,35] Here, for the first time, we applied TENG in the field of fish kinematic monitoring. A fish-wearable data snooping platform Conventional approaches to studying fish kinematics pose a great challenge for the real-time monitoring of fish motion kinematics. Here, a multifunctional fish-wearable data snooping platform (FDSP) for studying fish kinematics is demonstrated based on an air sac triboelectric nanogenerator (AS-TENG) with antibacterial coating. The AS-TENG not only can harvest energy from fish swimming but also serves as the self-powered sensory module to monitor the swimming behavior of the ...

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Section: Resultsmentioning

confidence: 99%

Fish‐Wearable Data Snooping Platform for Underwater Energy Harvesting and Fish Behavior Monitoring

Wang

Shi

Yang

et al. 2022

Small

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“…The shear distribution on the fish’s body during cyclic swimming showed that thrust is mainly produced in the posterior half of the body [ 74 ]. Simulations also have demonstrated that the peak thrust in the cycle is associated with a leading-edge vortex [ 75 ]. Simulation of flow fields from yolk-sac larvae to juveniles shows that larvae need to continuously adjust their sensory, neural, and muscular systems to adapt to changing flow regimes [ 76 ].…”

Section: Discussionmentioning

confidence: 99%

Swimming behavior and hydrodynamics of the Chinese cavefish Sinocyclocheilus rhinocerous and a possible role of its head horn structure

Lei

et al. 2022

PLoS ONE

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The blind troglobite cavefish Sinocyclocheilus rhinocerous lives in oligotrophic, phreatic subterranean waters and possesses a unique cranial morphology including a pronounced supra-occipital horn. We used a combined approach of laboratory observations and Computational Fluid Dynamics modeling to characterize the swimming behavior and other hydrodynamic aspects, i.e., drag coefficients and lateral line sensing distance of S. rhinocerous. Motion capture and tracking based on an Artificial Neural Network, complemented by a Particle Image Velocimetry system to map out water velocity fields, were utilized to analyze the motion of a live specimen in a laboratory aquarium. Computational Fluid Dynamics simulations on flow fields and pressure fields, based on digital models of S. rhinocerous, were also performed. These simulations were compared to analogous simulations employing models of the sympatric, large-eyed troglophile cavefish S. angustiporus. Features of the cavefish swimming behavior deduced from the both live-specimen experiments and simulations included average swimming velocities and three dimensional trajectories, estimates for drag coefficients and potential lateral line sensing distances, and mapping of the flow field around the fish. As expected, typical S. rhinocerous swimming speeds were relatively slow. The lateral line sensing distance was approximately 0.25 body lengths, which may explain the observation that specimen introduced to a new environment tend to swim parallel and near to the walls. Three-dimensional simulations demonstrate that just upstream from the region under the supra-occipital horn the equipotential of the water pressure and velocity fields are nearly vertical. Results support the hypothesis that the conspicuous cranial horn of S. rhinocerous may lead to greater stimulus of the lateral line compared to fish that do not possess such morphology.

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“…In this section, the drag force variance between the manta ray robot and Blue ROV at different swimming speeds is studied. For much previous research [24,25], the manta ray model is simplified to a streamlined body with a pair of wings. Although the frontal nose, tail, and surface roughness of manta ray could be considered significant in specific circumstances, most manta ray robots are not the same as a real manta ray.…”

Section: Hydrodynamic Analysismentioning

confidence: 99%

A Manta Ray Robot with Soft Material Based Flapping Wing

Liu

Chen

Wang

et al. 2022

JMSE

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Recent research on robotic fish mainly focused on the bionic structure design and realizing the movement with smart materials. Although many robotic fish have been proposed, most of these works were oriented toward shallow water environments and are mostly built with purely rigid structures, limiting the mobility and practical usability of robotic fish. Inspired by the stability of the real manta ray, a manta ray robot design is proposed with soft material made flapping wing based on an open-source ROV (Remotely Operated Vehicle). The flapping wing structure with three different materials mimics the wide pectoral fins of real manta rays, which have bones, muscles, and skin. Furthermore, its modular design makes it easy to install and disassemble. The kinematic and hydrodynamic analysis of the manta ray robot are simulated in this paper. The actual manta ray robot is fabricated and several sets of test are performed in the pool. The robot can swim forward continually and stably with a simple rolling and pitching pattern.

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Three-dimensional viscous wake flow in fish swimming - A CFD study

Cited by 27 publications

References 21 publications

Fish‐Wearable Data Snooping Platform for Underwater Energy Harvesting and Fish Behavior Monitoring

Fish‐Wearable Data Snooping Platform for Underwater Energy Harvesting and Fish Behavior Monitoring

Swimming behavior and hydrodynamics of the Chinese cavefish Sinocyclocheilus rhinocerous and a possible role of its head horn structure

A Manta Ray Robot with Soft Material Based Flapping Wing

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