2016
DOI: 10.3390/s16081171
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A Spray-On Carbon Nanotube Artificial Neuron Strain Sensor for Composite Structural Health Monitoring

Abstract: We present a nanocomposite strain sensor (NCSS) to develop a novel structural health monitoring (SHM) sensor that can be easily installed in a composite structure. An NCSS made of a multi-walled carbon nanotubes (MWCNT)/epoxy composite was installed on a target structure with facile processing. We attempted to evaluate the NCSS sensing characteristics and benchmark compared to those of a conventional foil strain gauge. The response of the NCSS was fairly good and the result was nearly identical to the strain g… Show more

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Cited by 22 publications
(22 citation statements)
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“…CNTs have been intensively studied in their application for neural tissue engineering [144,145]. In fact, CNTs provide all requirements for optimal neural regeneration: high binding affinity and excellent electrical conductivity.…”
Section: Carbon Nanotubes and Stem Cellsmentioning
confidence: 99%
“…CNTs have been intensively studied in their application for neural tissue engineering [144,145]. In fact, CNTs provide all requirements for optimal neural regeneration: high binding affinity and excellent electrical conductivity.…”
Section: Carbon Nanotubes and Stem Cellsmentioning
confidence: 99%
“…14 Therefore, the deforming state was transformed into the measurable electrical signal to implement the real-time monitoring of the strain damage. [14][15][16] Pham et al 17 fused rectangular multi-walled CNTs with structural composites. When the composites were subjected to periodic triangular wave loading, the time-versus-resistivity curves presented good periodic triangular waveforms.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, nanocomposite sensors [ 22 , 23 , 24 ] have become a new research hotspot. In particular, nancomposites which leverage conductive materials embedded in flexible substrates have shown promise in applications which measure the daily activities of the human body and convert them into electrical signals which can be digitally analyzed [ 25 , 26 , 27 ]. One disadvantage of virtually all of these sensors has been a low resting resistance [ 28 ].…”
Section: Introductionmentioning
confidence: 99%