Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, Groningen, Netherlands.
Bioinspir Biomim. 2018 Feb 27;13(2):026013. doi: 10.1088/1748-3190/aaa786.
We present the design, fabrication and testing of a novel all-optical 2D flow velocity sensor, inspired by a fish lateral line neuromast. This artificial neuromast consists of optical fibres inscribed with Bragg gratings supporting a fluid force recipient sphere. Its dynamic response is modelled based on the Stokes solution for unsteady flow around a sphere and found to agree with experimental results. Tuneable mechanical resonance is predicted, allowing a deconvolution scheme to accurately retrieve fluid flow speed and direction from sensor readings. The optical artificial neuromast achieves a low frequency threshold flow sensing of 5 mm s and 5 μm s at resonance, with a typical linear dynamic range of 38 dB at 100 Hz sampling. Furthermore, the optical artificial neuromast is shown to determine flow direction within a few degrees.
我们提出了一种新颖的全光学 2D 流速传感器的设计、制造和测试，灵感来自于鱼类侧线神经丘。这个人工神经丘由带有布拉格光栅的光纤组成，支持一个流体力接收球体。它的动态响应基于球体周围非定常流的 Stokes 解进行建模，并与实验结果相符。预测到可调谐的机械共振，允许解卷积方案从传感器读数中准确地恢复流体流速和方向。光学人工神经丘在共振时实现了低至 5mm/s 和 5μm/s 的低频阈值流速感应，在 100Hz 采样时典型的线性动态范围为 38dB。此外，光学人工神经丘能够在几度范围内确定流动方向。
