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Sensing the flow beneath the fins

机译：感测鳍下方的流动

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摘要

Flow sensing, maneuverability, energy efficiency and vigilance of surroundings are the key factors that dictate the performance of marine animals. Be it swimming at high speeds, attack or escape maneuvers, sensing and survival hydrodynamics are a constant feature of life in the ocean. Fishes are capable of performing energy efficient maneuvers, including capturing energy from vortical structures in water. These impressive capabilities are made possible by the uncanny ability of fish to sense minute pressure and flow variations on their body. This is achieved by arrays of biological neuromast sensors on their bodies that 'feel' the surroundings through 'touch at a distance' sensing. The main focus of this paper is to review the various biomimetic material approaches in developing superficial neuromast inspired ultrasensitive MEMS sensors. Principals and methods that translate biomechanical filtering properties of canal neuromasts to benefit artificial MEMS sensors have also been discussed. MEMS sensors with ultrahigh flow sensitivity and accuracy have been developed mainly through inspiration from the hair cell and cupula structures in the neuromast. Canal-inspired packages have proven beneficial in hydrodynamic flow filtering in artificial sensors enabling signal amplification and noise attenuation. A special emphasis has been placed on the recent innovations that closely mimic the structural and material designs of stereocilia of neuromasts by exploring soft polymers.
机译：流动传感，机动性，能源效率和环境的警惕性是决定海洋动物性能的关键因素。在高速度，攻击或逃避演习中，感应和生存流体动力学是海洋中生命的恒定特征。鱼类能够进行节能机动，包括从水中的涡流结构中捕获能量。这些令人印象深刻的能力是通过鱼类的不可思议的能力来感知他们身体的微小压力和流动变化。这是通过生物神经孢子传感器的阵列在他们的身体上，通过“在远处”感觉中“触摸”周围环境。本文的主要焦点是审查发展浅表性神经孢子的各种仿生材料方法，这是一种感受的超细瘤传感器。还讨论了转化管神经孢的生物力学过滤性能以益处人工MEMS传感器的原理和方法。具有超高流动灵敏度和精度的MEMS传感器主要通过染发剂和圆锥结构中的灵感来开发。在人工传感器中的流体动力流过滤中，运河启发包装已被证明可以实现信号放大和噪声衰减。特别强调最近的创新，通过探索软聚合物密切模仿神经孢子的立体结构和材料设计。

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