Biologically Inspired Artificial Haircell Sensors
Abstract
The use and development of unmanned aircraft has significantly increased recently. As electronics packages and equipment have decreased in size and weight, so have the potential dimensions of these aircraft. The ability of these vehicles to retain acceptable lift is highly sensitive to separation of flow over the lift surface. The team developed the design and fabrication process for high sensitivity artificial haircell sensors and characterized their performances. The sensors were able to measure air flow rate with a detection limit of 10 mm/s. The team performed simultaneous sensor reading and micro PIV (particle imaging velocimetry) tests. The sensors were mounted on scaled models of airfoils. Belinda Batten's group built numerical model of the hair and extracted higher order models. The team also developed custom morphing wing micro air vehicle. The project successfully established haircell flow sensors, developed reduced control model for such sensors, and characterized the flow field using both haircell sensors and particle imaging velocimetry (PIV) methods.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 23, 2008
- Accession Number
- ADA483945
Entities
People
- Chang Liu
Organizations
- University of Illinois Urbana–Champaign