Multi-dimensional strain sensor based on carbon nanotube film with aligned conductive networks

Ma, Lifeng; Yang, Jie; Wang, Yansong; Chen, Hao; Xing, Yanfen; Wang, Jincheng

doi:10.1016/j.compscitech.2018.06.030

Cited by 77 publications

(44 citation statements)

References 38 publications

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“…[20][21][22][23][24][25][26][27] As elastomers are intrinsically insulating, it is essential to incorporate conductive materials into elastomers for the fabrication of CECs. There are three main reported strategies: (1) inltrating elastomers with conductive ller networks, 9,10,28,29 (2) synthesizing metal llers within elastomers 3,28,[30][31][32] and (3) implanting conductive llers into elastomers. 12,21,22,26,27,[33][34][35][36][37][38][39][40][41][42][43][44][45] The rst strategy generally requires particular fabrication techniques, such as surface treatment, to assist the combination of elastomers with conductive llers.…”

Section: Introductionmentioning

confidence: 99%

Stretchable elastomer composites with segregated filler networks: effect of carbon nanofiller dimensionality

Sang

Manas‐Zloczower

2019

Nanoscale Adv.

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Section: Introductionmentioning

confidence: 99%

Stretchable elastomer composites with segregated filler networks: effect of carbon nanofiller dimensionality

Sang

Manas‐Zloczower

2019

Nanoscale Adv.

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“…The measured broken lines with variable ΔR/R 0 values are related to the stretching/releasing of the length of the strain sensor via the human joints bending. The periodic sensing signals cyclically increase and decrease under variable strains as a response to the motion of different parts of the human body [51,52]. The test results showed that the strain sensor satisfies the detection requirements of finger and arm motions, and the results have reasonable accuracy to reflect each human motion.…”

Section: Resultsmentioning

confidence: 99%

Hybrid Nanocomposites of Cellulose/Carbon-Nanotubes/Polyurethane with Rapidly Water Sensitive Shape Memory Effect and Strain Sensing Performance

Hou

et al. 2019

Polymers

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In this work, a fast water-responsive shape memory hybrid polymer based on thermoplastic polyurethane (TPU) was prepared by crosslinking with hydroxyethyl cotton cellulose nanofibers (CNF-C) and multi-walled carbon nanotubes (CNTs). The effect of CNTs content on the electrical conductivity of TPU/CNF-C/CNTs nanocomposite was investigated for the feasibility of being a strain sensor. In order to know its durability, the mechanical and water-responsive shape memory effects were studied comprehensively. The results indicated good mechanical properties and sensing performance for the TPU matrix fully crosslinked with CNF-C and CNTs. The water-induced shape fixity ratio (Rf) and shape recovery ratio (Rr) were 49.65% and 76.64%, respectively, indicating that the deformed composite was able to recover its original shape under a stimulus. The TPU/CNF-C/CNTs samples under their fixed and recovered shapes were tested to investigate their sensing properties, such as periodicity, frequency, and repeatability of the sensor spline under different loadings. Results indicated that the hybrid composite can sense large strains accurately for more than 103 times and water-induced shape recovery can to some extent maintain the sensing accuracy after material fatigue. With such good properties, we envisage that this kind of composite may play a significant role in developing new generations of water-responsive sensors or actuators.

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“…The performance comparison shows that the CNT-SLW has excellent electrical resistance response to deformation. This is governed by (i) strong interfacial bonding between CNTs and the adhesive matrix which results in very effective load transfer to the CNTs, harnessing the piezoresistive properties of the CNTs, and (ii) the high degree of alignment of the CNTs within the web, causes significant changes in contact area between CNTs upon crack opening and widening [38][39][40][41][42][43]. In contrast, the CNT-SLW perpendicular to the load direction showed only a ~37 % increase in relative resistance (∆R/R o ) and only close to failure (Inset Fig.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…11b). The change of slope and modest resistance increase, just prior to failure, suggests an increase in the tunnelling gap whilst maintaining a practically constant level of CNT-CNT connections [45,48]. To demonstrate the stability and sensitivity to new damage accumulation, the CNT-SLW/adhesive joints were investigated at different cyclic displacements, with maximum displacements below and above that for which damage initiation was observed (1.03 mm) as indicated in Fig.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Ultrasensitive embedded sensor for composite joints based on a highly aligned carbon nanotube web

Kumar

Falzon

Hawkins

2019

Carbon

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Herein, we present a novel approach for damage sensing in adhesively bonded joints using a carbon nanotube single layer web (CNT-SLW) which marks a significant departure from the approach of dispersing CNTs within epoxy resins. In this work, a very thin, highly aligned CNT-SLW (densified thickness ~ 50 nm) with aerial density of 2.0 µg/cm 2 was horizontally drawn from a vertically aligned CNT forest, positioned over an adhesive film, which was, in turn, placed between two non-conductive composite adherents. This was followed by the application of heat and pressure to cure the adhesive. These joints were subjected to quasi-static and cyclic loading to investigate the damage sensing performance of a CNT-SLW. The CNT-SLW sensor, placed parallel to the load direction, exhibits remarkably high cyclic stability as well as exceptionally high sensitivity to damage initiation and accumulation. The resistance increase (∆R/R o % ∼1633%) is significantly higher than that of adhesive sensors with dispersed CNTs/graphene, reported in the literature. Morphological studies help to explain the sensing mechanism through interactions of the CNT-SLW with the evolution of micro-cracks. These results demonstrate the potential of

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Multi-dimensional strain sensor based on carbon nanotube film with aligned conductive networks

Cited by 77 publications

References 38 publications

Stretchable elastomer composites with segregated filler networks: effect of carbon nanofiller dimensionality

Stretchable elastomer composites with segregated filler networks: effect of carbon nanofiller dimensionality

Hybrid Nanocomposites of Cellulose/Carbon-Nanotubes/Polyurethane with Rapidly Water Sensitive Shape Memory Effect and Strain Sensing Performance

Ultrasensitive embedded sensor for composite joints based on a highly aligned carbon nanotube web

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