Madhavan, R (2022) Nanocrack-based ultrasensitive wearable and skin-mountable strain sensors for human motion detection. In: Materials Advances, 3 (23). 8665- 8676.
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Abstract
Advanced wearable and stretchable strain sensing devices for human motion detection are garnering tremendous attention and thus demonstrate substantial potential for future wearable sensors. This work presents network crack-assisted wearable strain sensors using graphite nanoflake spray coated onto highly elastic nitrile elastomers. The as-fabricated wearable strain sensors demonstrate numerous captivating benefits, including simplicity in the construction process and ultra-large strain sensitivity far surpassing the state of art stretchable strain sensors. It is worth mentioning that the stretchable strain sensors possess an ultrasensitive gauge factor (GF) of 868.12 ± 56.90 and a wide sensing range of up to 30 strain. The electromechanical performance depends on the electrical resistance variation, which is substantially altered by percolative microstructural network cracks with strain concentration during mechanical deformations. The ultrasensitive strain monitoring performance in conjunction with a wide sensing range, prominent reversibility, ultrafast response and recovery speeds (7.5 ms, and 5 ms, respectively), and excellent durability (more than 2000 stretching-releasing cycles under a large-scale strain of 30) enables the strain sensors to be used as electronic skins for wearable monitoring applications, including but not limited to the detection of full-range human activity monitoring, as well as healthcare and biomedical-related vital signs, soft robotics, and entertainment technology. © 2022 The Author(s).
| Item Type: | Journal Article |
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| Publication: | Materials Advances |
| Publisher: | Royal Society of Chemistry |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Department/Centre: | Division of Mechanical Sciences > Chemical Engineering |
| Date Deposited: | 05 Jan 2023 07:10 |
| Last Modified: | 05 Jan 2023 07:10 |
| URI: | https://eprints.iisc.ac.in/id/eprint/78749 |
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