期刊
IEEE SENSORS JOURNAL
卷 22, 期 13, 页码 12664-12672出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3178102
关键词
Strain sensor; carbon nanotube; wearable electronics; wireless transmission; real-time monitoring
资金
- Natural Science Foundation of Guangdong Province, China [2021B1515020087]
- National Natural Science Foundation of China [51775197]
Inspired by the geometry of slit receptor on spiders, researchers developed a crack-based strain sensor using a simple and cost-effective method. The sensor showed superfast response time, balanced sensitivity and strain range, and good reliability. Combined with a wireless transmission system, the sensor enables real-time monitoring of human health and movements.
The mushroom growth of wearable electronics greatly stimulates the demand of flexible strain sensors, and it makes sense to design a manufacturing method that avoids unknown biotoxicity, high-temperature treatment, and redundant technical route. Here, inspired by the geometry of slit receptor on spiders, we prepare a crack-based strain sensor using a facile, cost-effective and large-area-capable method. Conductive inks made of multiwalled carbon nanotubes (MWCNTs) and polyvinyl butyral (PVB) are drop onto nylon cloth, and then pre-stretched to 50% strain to generate long-range ordered and self-organized microcracks. Experi- mentally, the crack-based strain sensor delivers a superfast response time (similar to 31 ms), balanced sensitivity and strain range (a gauge factor of 81.45 in the 15 - 50% strain range), and good reliability (>2500 cycles). These excellent sensing properties are attributed to the V-shaped microcrack structure that initiates significant resistance changes during repeated stretching/release. Meanwhile, the nylon substrate provides stable mechanical resilience to meet multiple stretching cycles. Combined with the wireless transmission system, the resistance signal measured by the strain sensor can be transmitted through Bluetooth and displayed in the mobile phone, realizing the real-time monitoring of human health and movements.
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