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2014
DOI: 10.1016/j.carbon.2014.05.022
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Simple and rapid micropatterning of conductive carbon composites and its application to elastic strain sensors

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Cited by 304 publications
(219 citation statements)
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References 48 publications
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“…In addition, strain sensors in human-motion detection need to satisfy the following requirements: high stretchability, fl exibility, high sensitivity, high durability, fast response/recovery speeds, and conformability. [ 122 ] Therefore, various types of fl exible and stretchable strain sensing materials such as P(VDF-TrFE), [ 77,123 ] ZnO NWs, [124][125][126][127][128][129] ZnSnO 3 NWs, [ 130 ] CNTs, [ 31,119,131,132 ] CNT composites, [ 28,133 ] graphene, [ 36,[134][135][136][137][138][139] R-GO, [ 121,[140][141][142] R-GO composites, [ 10,34,143 ] Ag NWs, [ 33 ] polymeric nanofi bers, [ 30 ] carbon black (CB), [ 11,144 ] organic semiconductors, [ 32,145,146 ] metal NPs, [ 122 ] Si NWs, [ 147 ] GaInSn, [ 148 ] and conductive polymers [149][150][151][152]…”
Section: Flexible and Stretchable Strain Sensormentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, strain sensors in human-motion detection need to satisfy the following requirements: high stretchability, fl exibility, high sensitivity, high durability, fast response/recovery speeds, and conformability. [ 122 ] Therefore, various types of fl exible and stretchable strain sensing materials such as P(VDF-TrFE), [ 77,123 ] ZnO NWs, [124][125][126][127][128][129] ZnSnO 3 NWs, [ 130 ] CNTs, [ 31,119,131,132 ] CNT composites, [ 28,133 ] graphene, [ 36,[134][135][136][137][138][139] R-GO, [ 121,[140][141][142] R-GO composites, [ 10,34,143 ] Ag NWs, [ 33 ] polymeric nanofi bers, [ 30 ] carbon black (CB), [ 11,144 ] organic semiconductors, [ 32,145,146 ] metal NPs, [ 122 ] Si NWs, [ 147 ] GaInSn, [ 148 ] and conductive polymers [149][150][151][152]…”
Section: Flexible and Stretchable Strain Sensormentioning
confidence: 99%
“…The conductive nanofi llers are blended into elastomers such as PDMS to form a piezoresistive material. Kong et al [ 144 ] presented a simple and rapid micropatterning method for CB-PDMS composites applied to fabricated strain sensors. The CB-PDMS strain sensor was capable of measuring strain up to 80%, with highly linear and good cyclic electrical performance, as well as mechanical robustness.…”
Section: Reviewmentioning
confidence: 99%
“…1,[63][64][65] In addition, the current-voltage (I-V) characteristics of porous graphene/TPU foam in the fiftieth cycle under the strain of 90% were also studied ( Fig. 10(e)).…”
Section: Piezoresistive Behavior Of Porous Graphene/tpu Foamsmentioning
confidence: 99%
“…The sensing mechanism is mainly based on the change in conductive networks, i.e., the variation of electrical resistance arising from the exposure to external stimuli (stress, organic vapor, temperature, etc.). [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] Piezoresistive sensors, which convert the external applied compression stress or strain into an obvious electrical resistance signal, can be effectively used in many industrial fields. [18][19][20] However, the rigidity and small strain of conventional metal or semiconductor based sensors limit their applications for the fabrication of flexible devices.…”
Section: Introductionmentioning
confidence: 99%
“…Alternatively, in addition to individual solid-state components, the hybrids or composites of these solid constituents are also being increasingly explored as the sensing elements of flexible and stretchable sensors. One common instance of these hybrid structures is elastomeric composites incorporating conductive nanofillers, with their highly percolating networks serving as the conduction path [98][99][100] . In one of the latest studies, Roh et al 34 described the use of a nanohybrid assembly of single-walled CNTs (SWCNTs) and a conductive composite elastomer comprising poly(3,4-ethyl-enedioxythiophene-poly(styrenesulfonate)) (PEDOT:PSS) and a polyurethane (PU) dispersion for the development of stretchable strain sensors with high sensitivity, reliability, and tunability ( Figure 3a).…”
Section: Solid-state Physical Sensing Platformsmentioning
confidence: 99%