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Carbon Nanotube (CNT) Enhancements for Aerosurface State Awareness

Authors :
Kessler, Seth S.
Dunn, Christopher T.
Wicks, Sunny S.
Roberto Guzman de Villoria
Wardle, Brian L.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Wicks, Sunny S.
de Villoria, Roberto Guzman
Wardle, Brian L.
Source :
Other Repository, BASE-Bielefeld Academic Search Engine
Publication Year :
2011
Publisher :
DEStech Publications, Inc., 2011.

Abstract

The goal of the present effort was to develop an integrated system capable of reliable ice-deterioration, de-icing and anti-icing in addition to structural diagnostics to enable aerosurface state awareness. The basis for the system is nanoengineered structured carbon nanotube (CNT) enhancements that can either be embedded within the composite laminates during manufacturing, or applied as a separate surface layer in a secondary process. The aligned CNTs are sufficiently long (20-30 um) to span interply matrix regions, acting as mechanical reinforcement in addition to improving electrical conductivity by a factor of more than a million. Optimized electrode patterns are applied to the CNT-enhanced structure, and hardware provides closed-loop feedback control. Ice-deteriation is based on effective heat capacity, where power is applied to CNT-enhanced laminates (termed fuzzy fiber reinforced plastic, or FFRP) for seconds, and the slope of the temperature rise can be correlated to the thickness of ice present. For de-icing (melting) and anti-icing (prevention of ice formation) a resistive heating principal is used. Voltage is applied to the FFRP material, which heats rapidly due to the small but finite resistance imparted by the CNTs. Structural diagnostics is achieved by monitoring and mapping changes in electrical resistance across electrode grid paths.<br />United States. Dept. of the Navy (Phase I SBIR Contract N68335-10-0227)

Details

Language :
English
Database :
OpenAIRE
Journal :
Other Repository, BASE-Bielefeld Academic Search Engine
Accession number :
edsair.dedup.wf.001..c1760bc8cfa538a4e998c71d34791ded