光子学报, 2019, 48 (2): 0212002, 网络出版: 2019-03-23   

玻璃纤维蜂窝复合材料的太赫兹无损检测技术

Terahertz Non-destructive Testing Technology for Glass Fiber Honeycomb Composites
作者单位
长春理工大学 光电工程学院 光电测控技术研究所, 长春 130022
摘要
采用双高斯脉冲反卷积滤波技术对太赫兹时域波形进行滤波优化, 提出一种基于太赫兹时域光谱无损检测的太赫兹反射式层析成像技术, 用于分析玻璃纤维蜂窝复合材料的粘接质量.结合玻璃纤维蜂窝复合材料结构的特点, 分别在蜂窝上层胶膜和下层胶膜中设计了不同直径的圆形和梯形脱粘缺陷, 在此基础上, 完成了脱粘缺陷蜂窝结构样品的制作.提出的太赫兹反射式层析成像和B-scan成像方法, 适用于玻璃纤维蜂窝复合材料的脱粘缺陷分析.针对反射式层析成像图像对比度差的问题, 结合脱粘缺陷处的太赫兹时域波形数据特征, 采用缺陷特征时间区域成像优化技术, 提高了脱粘缺陷的检测能力和识别准确率, 实现了玻璃纤维蜂窝材料的上层脱粘厚度50 μm、下层脱粘厚度50 μm缺陷的太赫兹无损检测.
Abstract
The terahertz time domain waveform was optimized with double Gaussian filtered inverse filtering technology. A terahertz reflection tomography technique based on terahertz time-domain spectroscopy nondestructive testing was proposed to analyze the bonding quality of glass fiber honeycomb composites. Combined with the characteristics of the glass fiber honeycomb composite structure, circular and trapezoidal debonding defects with different diameters were designed in the upper and lower layer of the honeycomb film. On this basis, the fabrication of the debonding defect honeycomb structure samples were completed. The proposed terahertz reflection tomography and B-scan imaging methods are suitable for the analysis of debonding defects of glass fiber honeycomb composites. Aiming at the problem of poor contrast of reflective tomography image, combined with the characteristics of terahertz time domain waveform data at the debonding defect, the defect feature time domain imaging optimization technology is used to improve the detection ability and recognition accuracy of debonding defects and realize the terahertz nondestructive testing of glass fiber honeycomb composite with its upper debonding thickness as 50 μm and lower debonding thickness as 50 μm.

张丹丹, 任姣姣, 李丽娟, 乔晓利, 顾健. 玻璃纤维蜂窝复合材料的太赫兹无损检测技术[J]. 光子学报, 2019, 48(2): 0212002. ZHANG Dan-dan, REN Jiao-jiao, LI Li-juan, QIAO Xiao-li, GU Jian. Terahertz Non-destructive Testing Technology for Glass Fiber Honeycomb Composites[J]. ACTA PHOTONICA SINICA, 2019, 48(2): 0212002.

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