详细信息
离子液体/多孔弹性绳核壳结构接近-压力电容式传感器的制备与性能 ( EI收录)
Preparation and performance of proximity-pressure capacitive sensor with ionic liquid/porous elastic rope core-shell structure
文献类型:期刊文献
中文题名:离子液体/多孔弹性绳核壳结构接近-压力电容式传感器的制备与性能
英文题名:Preparation and performance of proximity-pressure capacitive sensor with ionic liquid/porous elastic rope core-shell structure
作者:Ying, Di[1]; Gao, Xing[1]; Zhang, Rui[1,2]; Li, Chengxin[1]; Zheng, Yingying[2]; Wang, Jian[1,2,3]; Zou, Zhuanyong[1,2,3]
机构:[1] Key Laboratory of Clean Dyeing and Finishing Technology of Zhejiang Province, Shaoxing University, Shaoxing, 312000, China; [2] Shaoxing Key Laboratory of High Performance Fibers & Products, Shaoxing University, Shaoxing, 312000, China; [3] Shaoxing Sub-center of National Engineering Research Center for Fiber-based Composites, Shaoxing University, Shaoxing, 312000, China
年份:2025
卷号:42
期号:9
起止页码:5066
外文期刊名:Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica
收录:EI(收录号:20253719133231)
语种:中文
外文关键词:Ionic liquids - Morphology - Motion sensors - Pressure sensors - Shells (structures) - Structural health monitoring - Surface morphology - Wearable sensors
外文摘要:In recent years, flexible capacitive sensors have been widely applied in fields such as health monitoring, electronic skin, and artificial intelligence. To address the issues of low sensitivity and narrow sensing range in flexible capacitive sensors, a dual-mode non-contact-pressure sensor with a core-shell structure based on ionic liquid/porous elastic rope was designed, and its surface morphology and performance were tested and analyzed. The results indicate that the sensor exhibits high sensitivity (0.0137 cm?1), a linearity of up to 0.9959, and a wide response range (0-14 cm) in non-contact sensing. For pressure sensing, the sensor demonstrates high sensitivity (0.0255 kPa?1), fast response time (70 ms), a wide response range (0-88.6 kPa), and good cycle stability. Owing to these excellent properties, the dual-mode sensor can achieve real-time monitoring of human movements (such as pressing, joint movements, swallowing, etc.), indicating its broad application prospects in the field of smart wearables. ? 2025 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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