基于摩擦纳米发电技术的碳纤复材缺陷的无损检测

Nondestructive Defect Detection of Carbon Fiber Composites Based on Triboelectric Nanogenerator

针对常用的碳纤维增强复合材料在生产及服役过程中产生缺陷的问题,探索了将摩擦纳米发电技术应用在碳纤维增强复合材料无损检测中的可行性。采用激光切割与改变热压温度的方式,分别在碳纤维复合材料内部制作碳纤维增强体和界面间的缺陷,并基于摩擦发电原理搭建测试装置,对输出信号进行了分析。结果表明电压、电流、电荷三种信号都能通过信号峰值这一特征反映两种类型的缺陷。三种电学信号峰值与复合材料准静态穿刺性能的关系图表明电压信号的峰值与穿刺峰值力与能量之间的规律明显,GaussAmp模型和Asymptoticl模型、NormalCDF模型对以上两种力学参数的曲线拟合准确度可达0.95,为碳纤维复合材料的低成本无损检测提供了理论基础。

Aiming at the defects of common carbon fiber reinforced composites during production and service,the feasibility of applying triboelectric technology to achieve nondestructive detection of the carbon fiber reinforced composites was explored.Through laser cutting and vulcanization temperature variation,the inner defects in the carbon fiber reinforcement and the interface were fabricated.The signals output by the testing device that was constructed based on triboelectric principle were analyzed.The results show that the triboelectric signals including the open-circuit voltage,short-circuit current and short-circuit charge transfer can all reflect the two types of defects through signal peak,which therefore was confirmed an important characteristic parameter.The relationships between the peaks of the three electrical signals and the quasi-static puncture performance of the composites show regular correlation between the peak voltage and the maximum puncture force and energy dissipation.The curve fitting accuracy of the asymptotical model and the normal CDF model for the above two mechanical parameters can reach 0.95.This exploration provides a theoretical foundation for low-cost nondestructive detection of carbon fiber composites.