Guo Huihui, Li Yuhang, Liu Tingting, Wu Zuquan
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China.
Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Mianyang 621010, China.
Nanomaterials (Basel). 2022 Aug 17;12(16):2823. doi: 10.3390/nano12162823.
Conductive graphene polymer composites are considered promising functional materials in gas detection, strain detection, metal corrosion prevention, and electromagnetic wave absorption, owing to their good flexibility, lightweight, and adjustable conductivity. The internal defects or external damages of composite films will seriously affect the electrical and functional properties of the materials. Based on the conductive network inside the conductive polymer film and the self-inductance to ultrasonic wave, the defect self-monitoring system of the conductive polymer film is designed and optimized in this work. The self-damage detection system is composed of an electrode array, excitation source, resistance signal acquisition and processing circuit, and damage display. Aiming at different scenarios, the improved interdigital structure transducer for sensors and damage detection device for coating film with a large area are presented and optimized respectively. Meanwhile, the damage location algorithm based on time difference measurement and kernel density estimation algorithm is also optimized. The multiple damage detection is realized by a device with a 4 × 8 electrode array, and the relative error of damage area with 1 mm × 1 mm is less than 5%, and the lower detection limits of damage size are 0.3 mm × 0.3 mm.
由于具有良好的柔韧性、轻质和可调节的导电性,导电石墨烯聚合物复合材料被认为是气体检测、应变检测、金属防腐和电磁波吸收等领域中很有前景的功能材料。复合薄膜的内部缺陷或外部损伤会严重影响材料的电学和功能性能。基于导电聚合物薄膜内部的导电网络以及对超声波的自感应,本文设计并优化了导电聚合物薄膜的缺陷自监测系统。自损伤检测系统由电极阵列、激励源、电阻信号采集与处理电路以及损伤显示组成。针对不同场景,分别提出并优化了用于传感器的改进型叉指结构换能器和用于大面积涂膜的损伤检测装置。同时,基于时差测量的损伤定位算法和核密度估计算法也得到了优化。通过具有4×8电极阵列的装置实现了多重损伤检测,1mm×1mm损伤区域的相对误差小于5%,损伤尺寸的检测下限为0.3mm×0.3mm。