Capacitive Bio-Inspired Flow Sensing Cupula

Abstract

Submersible robotics have improved in efficiency and versatility by incorporating features found in aquatic life, ranging from thunniform kinematics to shark skin textures. To fully realize these benefits, sensor systems must be incorporated to aid in object detection and navigation through complex flows. Again, inspiration can be taken from biology, drawing on the lateral line sensor systems and neuromast structures found on fish. To maintain a truly soft-bodied robot, a man-made flow sensor must be developed that is entirely complaint, introducing no rigidity to the artificial skin. We present a capacitive cupula inspired by superficial neuromasts. Fabricated via lost wax methods and vacuum injection, our 5 mm tall device exhibits a sensitivity of 0.5 pF/mm (capacitance versus tip deflection) and consists of room temperature liquid metal plates embedded in a soft silicone body. In contrast to existing capacitive examples, our sensor incorporates the transducers into the cupula itself rather than at its base. We present a kinematic theory and energy-based approach to approximate capacitance versus flow, resulting in equations that are verified with a combination of experiments and COMSOL simulations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 11, 2019
Accession Number
AD1099893

Entities

People

  • Charles A. Rohde
  • James P. Wissman
  • Kaushik Sampath
  • Simon E Freeman

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Birds
  • Boundary Layer
  • Cells
  • Fabrication
  • Fish
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geometry
  • Manufacturing
  • Materials
  • Materials Science
  • Measurement
  • Mechanics
  • Microelectromechanical Systems
  • Modulus Of Elasticity
  • Three Dimensional

Readers

  • Fluid Dynamics.
  • Nanofabrication and Microfabrication.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy