A highly sensitive and stress-direction-recognizing asterisk-shaped carbon nanotube strain sensor
Flexible strain sensors are recognized as a key component of electronic-skin technology. One of the important features for strain sensors is that they should be able to sensitively recognize the direction of the external stress to accurately detect the various motions of humans or matter. Herein, we...
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Veröffentlicht in: | Journal of materials chemistry. C, Materials for optical and electronic devices Materials for optical and electronic devices, 2019, Vol.7 (31), p.954-9512 |
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Sprache: | eng |
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Zusammenfassung: | Flexible strain sensors are recognized as a key component of electronic-skin technology. One of the important features for strain sensors is that they should be able to sensitively recognize the direction of the external stress to accurately detect the various motions of humans or matter. Herein, we successfully developed a directionally responsive piezoresistive strain sensor with asterisk-shaped CNT sensing electrodes to recognize the direction of an applied external stress, thereby overcoming some of the shortcomings of established sensors. Under 5% strain, the change in relative resistance of the sensor developed here differed by up to a factor of 24.5 for different orientations of the sensor electrode relative to the source of the stress,
i.e.
, a high angular dependence of the sensing performance on the external stress direction was observed. In particular, the asterisk-shaped CNT strain sensors showed a super-linear relationship between response and strain for low strains of up to 5%, allowing them to provide a good sensing platform for recognizing micro-deformations. Finally, we demonstrated that our sensor could recognize the direction of the movement of an applied brush and the magnitude and direction of the tilt of a home-built joystick attached onto the sensor device.
Asterisk-shaped strain sensors have the recognizabilities of stress degree and direction to overcome the shortcomings of existing strain sensors. |
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ISSN: | 2050-7526 2050-7534 |
DOI: | 10.1039/c9tc02486g |