International Journal of Precision Engineering and Manufacturing-Green Technology ( IF 5.3 ) Pub Date : 2020-11-30 , DOI: 10.1007/s40684-020-00282-8 Le-Giang Tran , Woo-Tae Park
Attaining the information of the hydrodynamic flow rate and direction is essential to the maneuvering of autonomous underwater vehicles (AUVs). This work presents a pillar-based flow sensor that measures hydrodynamic flow rate and direction. We propose a design that mimic the working principle of the neuromast, a ubiquitous organ in fishes that sense the water flow. By utilizing advances in piezo-resistive pressure sensors and 3D printing technology, sensor fabrication becomes fast and cost-effective, owing to reductions in labor and material cost for small batches. Measured results showed that the sensor sensitivity was 9.24 mV/m/s in the single mode and 20.3 mV/m/s in the differential mode. The resolution of the flow sensor was measured to be 4.93 mm/s in the water tunnel testing. The angular resolution of the flow sensor was 2.25°.
中文翻译:
仿生流量传感器,用于检测流速和方向,在机动水下航行器中的应用
获得水动力流速和方向信息对于操纵水下自动航行器(AUV)至关重要。这项工作提出了一种基于支柱的流量传感器,可测量流体动力流量和方向。我们提出了一种模仿神经桅杆的工作原理的设计,神经桅杆是鱼类中感应水流的无处不在的器官。通过利用压阻式压力传感器和3D打印技术的进步,由于减少了小批量的人工和材料成本,传感器的制造变得快速且具有成本效益。测量结果表明,传感器灵敏度在单模下为9.24 mV / m / s,在差模下为20.3 mV / m / s。在水通道测试中,流量传感器的分辨率为4.93 mm / s。流量传感器的角分辨率为2.25°。