Biomimetic Flow Sensor for Detecting Flow Rate and Direction as an Application for Maneuvering Autonomous Underwater Vehicle

Le Giang Tran, Woo Tae Park

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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°.

Original languageEnglish
Pages (from-to)163-173
Number of pages11
JournalInternational Journal of Precision Engineering and Manufacturing - Green Technology
Volume9
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Autonomous underwater vehicles (AUVs)
  • Flow sensors
  • Neuromast
  • Piezoresistive sensor
  • Pillar-based sensor
  • Pressure sensor

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