Artificial hair cells (AHCs) are sensors inspired by biological hair cells. These devices often have lower sensitivities and poorer frequency resolutions than their biological counterparts. This is especially true when AHCs are placed in fluid. In the authors’ previous work, active AHCs were developed which used nonlinear feedback control to mimic the cochlea’s nonlinear amplifier. Incorporating this nonlinear control law can improve the AHC’s sensitivity, frequency selectivity, and dynamic range. This work examines an active artificial hair cell partially submerged in water. The fluid loading on the sensor adds inertia and significantly increases damping. A model of the sensor in air is developed and then modified to incorporate the added inertia and damping from the fluid. Simulation and experimental results show that the active artificial hair cell can overcome the added fluid inertia and damping to amplify oscillations due to low input levels and create a sharper frequency response. The resulting sensor is better suited to operate in fluid environments for flow sensing than an otherwise passive device. These sensors could potentially develop into replacements for damaged hair cells in the fluid-filled cochlea.
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ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 21–23, 2015
Colorado Springs, Colorado, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5730-4
PROCEEDINGS PAPER
Active Artificial Hair Cells for Use in Fluid Environments
Bryan S. Joyce,
Bryan S. Joyce
Virginia Tech, Blacksburg, VA
Search for other works by this author on:
Pablo A. Tarazaga
Pablo A. Tarazaga
Virginia Tech, Blacksburg, VA
Search for other works by this author on:
Bryan S. Joyce
Virginia Tech, Blacksburg, VA
Pablo A. Tarazaga
Virginia Tech, Blacksburg, VA
Paper No:
SMASIS2015-8925, V002T06A006; 7 pages
Published Online:
January 11, 2016
Citation
Joyce, BS, & Tarazaga, PA. "Active Artificial Hair Cells for Use in Fluid Environments." Proceedings of the ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Integrated System Design and Implementation; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting. Colorado Springs, Colorado, USA. September 21–23, 2015. V002T06A006. ASME. https://doi.org/10.1115/SMASIS2015-8925
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