A fully hydrogel-supported, artificial hair cell (AHC) sensor based on bilayer membrane mechanotransduction is designed with sensitivity and versatility in mind. Thanks to fabrication improvements from previous generations, the sensor demonstrates peak current outputs in the nanoamp range and can clearly measure inputs as high as 2k Hz. Characterization of the AHC response to base excitation and air pulses show that membrane current oscillates with the first three bending modes of the hair. Output magnitudes reflect of vibrations near the base of the hair. A 2 DOF Rayleigh-Ritz approximation of the system dynamics yields estimates of 19 N/m and 0.0011 Nm/rad for the equivalent linear and torsional stiffness of the hair’s hydrogel base, although double modes suggest non-symmetry in the gel’s linear stiffness. The sensor output scales linearly with applied voltage (1.79 pA/V), avoiding a higher-order dependence on electrowetting effects. The free vibration amplitude of the sensor also increases in a linear fashion with applied airflow pressure (18.4 pA/psi). Based on these sensitivity characteristics, an array sensing strategy for these sensors is proposed.
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ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 8–10, 2014
Newport, Rhode Island, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4615-5
PROCEEDINGS PAPER
Spectral Analysis and Characterization of a Membrane-Based Artificial Hair Cell Sensor
Rodrigo Sarlo,
Rodrigo Sarlo
Virginia Tech, Blacksburg, VA
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Pablo Tarazaga
Pablo Tarazaga
Virginia Tech, Blacksburg, VA
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Rodrigo Sarlo
Virginia Tech, Blacksburg, VA
Donald Leo
University of Georgia, Athens, GA
Pablo Tarazaga
Virginia Tech, Blacksburg, VA
Paper No:
SMASIS2014-7578, V002T06A010; 11 pages
Published Online:
December 8, 2014
Citation
Sarlo, R, Leo, D, & Tarazaga, P. "Spectral Analysis and Characterization of a Membrane-Based Artificial Hair Cell Sensor." Proceedings of the ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Mechanics and Behavior of Active Materials; Integrated System Design and Implementation; Bioinspired Smart Materials and Systems; Energy Harvesting. Newport, Rhode Island, USA. September 8–10, 2014. V002T06A010. ASME. https://doi.org/10.1115/SMASIS2014-7578
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