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Detection and Characterization of Debonding Defects in Aeronautical Honeycomb Sandwich Composites Using Noncontact Air-Coupled Ultrasonic Testing Technique

机译:使用非接触式空气耦合超声检测技术检测与表征航空蜂窝夹层复合材料的剥离缺陷

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摘要

The finite models of honeycomb sandwich composite with intact and embedded debonding defects are constructed. The sound pressure in fluid domain and the stress strain problem in solid domain are related by acoustic-structure coupling method, which visually shows the propagation process and modal characteristics of the acoustic wave inside the honeycomb sandwich composite. The simulation results show that the transmission longitudinal wave T1 (transmission initial wave) can effectively characterize debonding defects of honeycomb sandwich composite. However, in the actual detection of honeycomb sandwich composite, there are some problems, such as poor Signal-to-noise ratio (SNR) of received signal, incognizable transmission initial wave. In order to solve these problems, this paper proposes to apply polyphase coded pulse compression technique to air-coupled ultrasonic testing system. The actual test results show that the SNR of received signal is effectively improved, the transmission initial wave can be effectively identified, and the compressed signal has a good response to debonding defect. The air-coupled ultrasonic testing C scan result of honeycomb sandwich composite verifies the rationality and correctness of the theoretical simulation and signal processing technique, which promotes industrial application of air-coupled ultrasonic testing technique in the aerospace field.
机译:构建了具有完整和嵌入式脱粘缺陷的蜂窝夹层复合材料的有限型号。流体结构域的声压和固体结构域中的应力应变问题是通过声学 - 结构耦合方法相关的,其目视示出了蜂窝夹层复合材料内部声波的传播过程和模态特性。仿真结果表明,传输纵向波T1(传输初始波)可以有效地表征蜂窝夹层复合材料的剥离缺陷。然而,在蜂窝夹层复合材料的实际检测中,存在一些问题,例如接收信号的差的信噪比(SNR),可隐示的传输初始波。为了解决这些问题,本文提出将多相编码脉冲压缩技术应用于空气耦合超声波检测系统。实际测试结果表明,接收信号的SNR有效地改善,可以有效地识别传输初始波,并且压缩信号对剥离缺陷具有良好的反应。蜂窝夹层复合材料的空气耦合超声波检测C扫描结果验证了理论模拟和信号处理技术的合理性和正确性,促进了航空航天领域的空气耦合超声波检测技术的工业应用。

著录项

  • 作者

    Honggang Li; Zhenggan Zhou;

  • 作者单位
  • 年度 2019
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 入库时间 2022-08-20 22:16:50

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