Study on intelligent recognition detection technology of debond defects for ceramic matrix composites based on terahertz time domain spectroscopy

Ren Jiaojiao; Li Lijuan; Zhang Dandan; Qiao Xiaoli; Lv Qiongying; Cao Guohua

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Study on intelligent recognition detection technology of debond defects for ceramic matrix composites based on terahertz time domain spectroscopy

机译：基于太赫兹时域光谱法的陶瓷基复合材料磁性缺陷智能识别检测技术研究

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With the wide use of high-temperature-resistant ceramic matrix composites (CMCs) in aviation and space flight, it is important to detect the quality of the bonding. This paper used terahertz (THz) time-domain spectroscopy nondestructive testing technology to inspect the bonding defects of the CMC. This paper puts forward a method-extraction method, which is applied to make samples to simulate the bonding defect of CMC by embedding polytetrafluoroethylene (PTFE) sheets with 0.12 mm thickness into the adhesive layer and extracting it after curing and presetting the bonding defects. On the basis of the classical and analytical algorithms, such as the maximum in time-domain and power spectrum integration, through further study in the THz spectral characteristics of bonding samples for CMC, we specifically introduce the upper debond coefficient, lower debond coefficient, average absorption coefficient for the frequency domain, centroid coefficient for the frequency domain, and other characteristics. By optimizing the THz detection characteristics set, as a sample, we adopt the neural network intelligent recognition algorithm to detect the upper and lower debond defects in samples and realize the intelligent identification for CMC debond defects. (C) 2016 Optical Society of America

机译：随着航空和空间飞行中的高温抗性陶瓷基质复合材料（CMC），重要的是检测粘合的质量。本文使用了太赫兹（THz）时域光谱非破坏性测试技术检查CMC的粘接缺陷。本文提出了一种方法 - 提取方法，其应用于制备样品来模拟CMC的粘合缺陷通过将聚四氟乙烯（PTFE）片材嵌入粘合剂层中并在固化后提取并预设粘接缺陷。在经典和分析算法的基础上，例如时域和功率谱集成的最大值，通过进一步研究在CMC的粘接样本的THz谱特性中，我们具体介绍上借方系数，更低的借方系数，平均频域的吸收系数，频域的质心系数，以及其他特征。通过优化SET作为样本的THz检测特征，我们采用神经网络智能识别算法来检测样本中的上下借方缺陷，并实现CMC借方缺陷的智能识别。（c）2016年美国光学学会

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来源
《Applied optics》 |2016年第26期|共8页
作者
Ren Jiaojiao; Li Lijuan; Zhang Dandan; Qiao Xiaoli; Lv Qiongying; Cao Guohua;
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作者单位

Changchun Univ Sci &

Technol Sch Optoelect Engn Changchun Peoples R China;

Changchun Univ Sci &

Technol Sch Optoelect Engn Changchun Peoples R China;

Changchun Univ Sci &

Technol Sch Optoelect Engn Changchun Peoples R China;

Changchun Univ Sci &

Technol Sch Mech &

Elect Engn Changchun Peoples R China;

Changchun Univ Sci &

Technol Sch Mech &

Elect Engn Changchun Peoples R China;

Changchun Univ Sci &

Technol Sch Mech &

Elect Engn Changchun Peoples R China;

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Study on intelligent recognition detection technology of debond defects for ceramic matrix composites based on terahertz time domain spectroscopy

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