Tang Zhenhua, Jia Shuhai, Zhou Chenghao, Li Bo
Scholl of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
College of Aerospace Engineering, Chongqing University, Chongqing 400044, China.
ACS Appl Mater Interfaces. 2020 Jun 24;12(25):28669-28680. doi: 10.1021/acsami.0c06977. Epub 2020 Jun 10.
Piezoresistive composite-based flexible pressure sensors often suffer from a trade-off between the sensitivity and measurement range. Moreover, the sensitivity or measurement range is theoretically limited owing to the negative piezoresistive coefficient, resulting in resistance variation below 100%. Here, flexible pressure sensors were fabricated using the three-dimensional (3D) printing technique to improve both the sensitivity and sensing range through the positive piezoresistive effect. With the addition of carbon nanotubes (CNTs) and fumed silica nanoparticles (SiNPs) as a conductive filler and rheology modifier, respectively, the viscoelastic silicone rubber solution converted to a printable gel ink. Soft and porous composites (SPCs) were then directly printed in air at room temperature. The sensitivity and sensing range of the SPC-based pressure sensor can be simultaneously tuned by adjusting the conducting CNT and insulating SiNP contents. By optimizing the density of the CNT conductive network in the matrix, positive piezoresistive sensitivity (+0.096 kPa) and a large linear sensing range (0-175 kPa) were obtained. To demonstrate potential applications, the completely soft SPC-based sensor was successfully used in grasp sensing and gait monitoring systems. The 3D printed sensors were also assembled as a smart artificial sensory array to map the pressure distribution.
基于压阻复合材料的柔性压力传感器通常在灵敏度和测量范围之间存在权衡。此外,由于负压阻系数,灵敏度或测量范围在理论上受到限制,导致电阻变化低于100%。在此,采用三维(3D)打印技术制造柔性压力传感器,以通过正压阻效应提高灵敏度和传感范围。分别添加碳纳米管(CNT)和气相二氧化硅纳米颗粒(SiNP)作为导电填料和流变改性剂后,粘弹性硅橡胶溶液转变为可打印的凝胶油墨。然后在室温下于空气中直接打印出柔软且多孔的复合材料(SPC)。基于SPC的压力传感器的灵敏度和传感范围可通过调整导电CNT和绝缘SiNP的含量同时进行调节。通过优化基体中CNT导电网络的密度,获得了正压阻灵敏度(+0.096 kPa)和较大的线性传感范围(0 - 175 kPa)。为展示潜在应用,完全柔软的基于SPC的传感器成功应用于抓握传感和步态监测系统。3D打印传感器还被组装成智能人工传感阵列以绘制压力分布。