文献类型：期刊文献

中文题名：CNT包覆三维聚乙烯-聚丙烯(ES)/PET非织造基柔性压力传感器的制备及性能

英文题名：Preparation and performance of CNT impregnating 3D ethylene-propylene side by side(ES)/PET nonwoven-based flexible pressure sensors

作者：高星[1];张蕊[1];应迪[1];郑莹莹[2];王建[1,2];邹专勇[1,2]

机构：[1]绍兴文理学院浙江省清洁染整技术研究重点实验室,绍兴312000;[2]绍兴文理学院绍兴市高性能纤维及制品重点实验室,绍兴312000

年份：2025

卷号：42

期号：4

起止页码：1943

中文期刊名：复合材料学报

外文期刊名：Acta Materiae Compositae Sinica

收录：北大核心2023、、EI(收录号：20251418172222)、北大核心

基金：浙江省教育厅一般科研项目(Y202351466);国家级大学生创新创业训练计划(202310349047)。

语种：中文

中文关键词：碳纳米管;ES纤维;PET纤维;三维非织造材料;柔性压力传感器

外文关键词：carbon nanotubes;ES fiber;PET fiber;three-dimensional nonwoven materials;flexible pressure sensor

中文摘要：为克服柔性传感器在灵敏度较低、生产流程复杂以及透气性不足等方面的挑战,本研究通过针刺-热熔技术制备了一种三维聚乙烯-聚丙烯(Ethylene-propylene side by side,ES)/聚酯(PET)纤维非织造材料。随后,利用碳纳米管(CNT)对该材料进行浸渍处理,成功开发了一种性能优异的CNT包覆三维ES/PET非织造基压力传感器,并对比分析了不同CNT浸渍时间和浸渍次数对传感器性能的影响。研究结果显示,该CNT包覆三维ES/PET非织造基柔性压力传感器具有高达0.375 kPa^(-1)的灵敏度和0~214.526 kPa的检测范围。经过2100次压缩循环,传感器展现了优异的稳定性和可重复性,响应时间为48 ms,恢复时间为122 ms。在实际应用中,该传感器能够精确识别如呼吸、吞咽、手指弯曲等人体细微生理活动,在运动、医疗、虚拟现实等多个领域具有潜在的广泛应用。

外文摘要：To address the challenges associated with low sensitivity,complex production processes,and insufficient breathability of flexible sensors,this study developed a three-dimensional nonwoven material made of ethylene-propylene side by side(ES)/polyester(PET)fibers through needle punching and thermal bonding techniques.The material was then impregnated with carbon nanotubes(CNT),leading to the successful development of a high-performance CNT impregnating three-dimensional thermally bonded nonwoven-based pressure sensor.The impact of different CNT impregnation processes on sensor performance was comparatively analyzed.The findings indicate that the three-dimensional ES/PET nonwoven-based flexible pressure sensor exhibits a high sensitivity of up to 0.375 kPa^(?1) and a detection range of 0-214.526 kPa.After 2100 compression cycles,the sensor demonstrate excellent stability and repeatability,with a response time of 48 ms and a recovery time of 122 ms.In practical applications,this sensor can accurately identify subtle physiological activities such as breathing,swallowing,and finger bending,showing potential for widespread use in sports,medical,and virtual reality fields.