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Article
The Detection of Unsteady Flow Separation with Bioinspired Hair-Cell Sensors
Proceedings of the 26th AIAA Aerodynamic Measurement Technology and Ground Testing Conference
  • Benjamin T. Dickinson
  • John R. Singler, Missouri University of Science and Technology
  • Belinda A. Batten
Abstract
Biologists hypothesize that thousands of micro-scale hairs found on bat wings function as a network of air-flow sensors as part of a biological feedback flow control loop. In this work, we investigate hair-cell sensors as a means of detecting flow features in an unsteady separating flow over a cylinder. Individual hair-cell sensors were modeled using an Euler-Bernoulli beam equation forced by the fluid flow. When multiple sensor simulations are combined into an array of hair-cells, the response is shown to detect the onset and span of flow reversal, the upstream movement of the point of zero wall shear-stress, and the formation and growth of eddies near the wall of a cylinder. A linear algebraic hair-cell model, written as a function of the flow velocity, is also derived and shown to capture the same features as the hair-cell array simulation
Meeting Name
26th AIAA Aerodynamic Measurement Technology and Ground Testing Conference
Department(s)
Mathematics and Statistics
Keywords and Phrases
  • Euler-Bernoulli Beam Equation
Library of Congress Subject Headings
Hair cells
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2008 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
Publication Date
6-1-2008
Citation Information
Benjamin T. Dickinson, John R. Singler and Belinda A. Batten. "The Detection of Unsteady Flow Separation with Bioinspired Hair-Cell Sensors" Proceedings of the 26th AIAA Aerodynamic Measurement Technology and Ground Testing Conference (2008)
Available at: http://works.bepress.com/john-singler/37/