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A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow
L D Chambers1, O Akanyeti2, R Venturelli3
1Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK l.chambers@bristol.ac.uk.
Journal of the Royal Society, Interface
|August 1, 2014
Summary
This study developed an artificial lateral line system using a fish-shaped head with pressure sensors to detect turbulent flows. Moving sensors effectively characterized flow environments and identified vortex shedding frequencies, crucial for underwater navigation.
Area of Science:
- Fluid Dynamics
- Robotics
- Biomimetics
Background:
- Underwater vehicles require effective sensing of fluid interactions for navigation in turbulent flows.
- Fish utilize a lateral line system composed of neuromasts to perceive hydrodynamic information.
- Artificial lateral line systems aim to replicate this biological sensing capability for robotic applications.
Purpose of the Study:
- To investigate pressure signals from a 3D fish-shaped head with pressure sensors for an artificial lateral line system.
- To detect edges of hydrodynamic trails and characterize vorticity periodicity in unsteady wakes.
- To assess the efficacy of sensor movement versus static analysis for flow characterization.
Main Methods:
- A 3D fish-shaped head equipped with pressure sensors was employed.
- Kármán vortex streets were generated behind cylinders of varying diameters (2.5, 4.5, 10 cm) at different flow velocities (9.9, 19.6, 26.1 cm s⁻¹).
- Analysis focused on pressure differences and vortex shedding frequency (VSF) detection.
Main Results:
- Moving the sensor array proved advantageous for characterizing flow environments compared to static analysis.
- Pressure difference between foremost and side sensors indicated transitions from steady to unsteady flow.
- Vortex shedding frequency and magnitude successfully differentiated source size and flow speed.
- Vertical and lateral sensor distribution enabled detection of paired vortices as twice the VSF.
Conclusions:
- An artificial lateral line system can effectively detect and characterize turbulent flow features like Kármán vortex streets.
- Sensor movement enhances the ability to discern flow dynamics.
- Pressure signal analysis, particularly VSF, provides valuable data for underwater navigation and source identification.
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