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  • 中国标准连:ISSN1005-2895
  • 续出版物号: CN 33-1180/TH
  • 主管单位:轻工业杭州机电设计研究院有限公司
  • 主办单位:轻工业杭州机电设计研究院有限公司、中国轻工机械协会、中国轻工业机械总公司
  • 社  长:刘安江
  • 主  编:黄丽珍
  • 地  址:杭州市余杭区高教路970号西溪联合科技广场4-711
  • 电子邮件:qgjxzz@126.com
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郭鑫雷, 刘鑫, 胡汉春, 胡呈安.多孔聚二甲基硅氧烷/碳纳米管复合压阻式柔性压力传感器的制备[J].轻工机械,2023,41(2):34-41
多孔聚二甲基硅氧烷/碳纳米管复合压阻式柔性压力传感器的制备
Preparation of Porous Polydimethylsiloxane/Carbon Nanotube Composite Piezoresistive Flexible Pressure Sensor
  
DOI:10.3969/j.issn.1005 2895.2023.02.006
中文关键词:  柔性压力传感器  氯化钠模板法  浸渍 干燥法  聚二甲基硅氧烷  碳纳米管
英文关键词:flexible pressure sensor  sodium chloride template method  impregnation drying method  polydimethylsiloxane  carbon nanotubes
基金项目:西安市现代智能纺织装备重点实验室资助项目(2019220614SYS021CG043)。
作者单位
郭鑫雷, 刘鑫, 胡汉春, 胡呈安 西安工程大学 机电工程学院 陕西 西安710048 
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中文摘要:
      为解决目前柔性压力传感器制备工艺复杂和透气性差的问题,课题组提出在棉织物表面贴附导电铜箔作为电极、结合氯化钠模板法和浸渍 干燥法制作多孔聚二甲基硅氧烷/碳纳米管复合压阻层而制得压阻式柔性压力传感器的方法。课题组对传感器压阻层的表面微观形貌进行观察,并对传感器的性能进行了测试。结果表明:当碳纳米管溶液质量分数为1.5%时,制备的传感器的工作压力范围为0~30 kPa;在0~4 kPa和4~30 kPa压力范围时传感器灵敏度分别为546和2 Pa-1;迟滞性约为5.7%,可检测约为60 Pa的压力。该传感器不仅具有良好的稳定性和重复性,而且可清晰识别手指触压、肘部弯曲及喉部吞咽信号,在运动监测等领域具有潜在应用前景。
英文摘要:
      In order to solve the problems of complicated preparation process and poor permeability of flexible pressure sensor, a method for preparing piezoresistive flexible pressure sensor by attaching conductive copper foil as electrode on the surface of cotton fabric, combining sodium chloride template method and impregnation drying method to make porous polydimethylsiloxane/carbon nanotube composite piezoresistive layer was proposed. The surface microscopic morphology of the piezoresistive layer of the sensor was observed and the performance of the sensor was tested. The results show that when the mass fraction of carbon nanotubes is 1.5 %, the working range of the prepared sensor is 0-30 kPa, and its sensitivity in the pressure range of 0-4 kPa and 4-30 kPa is 546 Pa-1 and 2 Pa-1. The sensor hysteresis is about 57%, which can detect a pressure of about 60 Pa. The sensor not only has good stability and repeatability, but also can clearly identify finger touch pressure, elbow bending and throat swallowing signals, and has potential applications in areas such as motion monitoring.
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