Seo Dongmin, Yoon Seungmin, Park Jaemin, Lee Sangwon, Han Seungoh, Byun Sung-Hoon, Oh Sangwoo
Department of Electrical and Electronic Engineering, Semyung University, Jecheon 27136, Republic of Korea.
Department of Electrical Engineering, Semyung University, Jecheon 27136, Republic of Korea.
Biomimetics (Basel). 2024 Nov 22;9(12):721. doi: 10.3390/biomimetics9120721.
Although the Doppler velocity log is widely applied to measure underwater fluid flow, it requires high power and is inappropriate for measuring low flow velocity. This study proposes a fluid flow sensor that utilizes optical flow sensing. The proposed sensor mimics the neuromast of a fish by attaching a phosphor to two pillar structures (A and B) produced using ethylene propylene diene monomer rubber. The optical signal emitted by the phosphor is measured using a camera. An experiment was conducted to apply an external force to the reactive part using a push-pull force gauge sensor to confirm the performance of the proposed sensor. The optical signal emitted by the phosphor was obtained using an image sensor, and a quantitative value was calculated using image analysis. A simulation environment was constructed to analyze the flow field and derive the relationship between the flow rate and velocity. The physical properties of the pillar were derived from hysteresis measurement results, and the error was minimized when pillar types A and B were utilized within the ranges of 0-0.1 N and 0-2 N, respectively. A difference in the elastic recovery characteristics was observed; this difference was linear based on the shape of the pillar, and improvement rates of 99.585% and 99.825% were achieved for types A and B, respectively. The proposed sensor can help obtain important information, such as precise flow velocity measurements in the near field, to precisely navigate underwater unmanned undersea vehicles and precisely control underwater robots after applying the technology to the surface of various underwater systems.
尽管多普勒速度计被广泛应用于测量水下流体流动,但它需要高功率,且不适用于测量低流速。本研究提出了一种利用光流传感的流体流动传感器。所提出的传感器通过将磷光体附着到使用乙丙三元橡胶制成的两个柱状结构(A和B)上来模仿鱼的神经丘。使用相机测量磷光体发出的光信号。进行了一项实验,使用推拉力计传感器对反应部分施加外力,以确认所提出传感器的性能。使用图像传感器获得磷光体发出的光信号,并通过图像分析计算出定量值。构建了一个模拟环境来分析流场并推导流速与流量之间的关系。柱状结构的物理特性从滞后测量结果中得出,当分别在0 - 0.1 N和0 - 2 N的范围内使用A类和B类柱状结构时,误差最小。观察到弹性恢复特性存在差异;这种差异基于柱状结构的形状呈线性关系,A类和B类的改善率分别达到了99.585%和99.825%。将该技术应用于各种水下系统表面后,所提出的传感器有助于获取重要信息,例如近场精确流速测量,从而精确导航水下无人潜水器并精确控制水下机器人。