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Application of linear frequency modulated laser ultrasonic radar in reflective thickness and defect non-destructive testing

机译:线性频率调制激光超声雷达在反光厚度下的应用及缺陷非破坏性测试

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摘要

Radar technology plays an important role in modern aviation and navigation. Radar systems use pulse-compression and match-filtering to detect large moving objects in the sky or in water, or small defects hidden inside industrial components, the object of this paper. We introduce a nondestructive testing (NDT) modality based on frequency-domain laser ultrasound (FDLU) by means of implementing radar principles: Linear-frequency modulated (LFM chirp) excitation CW laser-beam intensity to perform, ultrasonic signal cross-correlation with the reference signal using pulse-compression and match-filtering, leading to reconstruction of time-domain sequences through inverse Fourier transformation at acceptable signal-to-noise ratios. Theoretically, the laser ultrasound radar (LUR) signal was modelled with both one- and three-dimensional thermoelastic equations, a combination of which was used to simultaneously predict the correct location and relative amplitude of experimental targets with relatively simple mathematical expressions that could not be used either in the 1-D (too simplistic) or in the 3-D (too complicated) approach alone. This methodology was further used to detect buried defects inside a metal alloy. The results demonstrated that the LUR system is capable of determining the thickness of the alloy material and quantitatively estimate the subsurface depth of defects in a signal generation process akin to echolocation.
机译:雷达技术在现代航空和导航中起着重要作用。雷达系统使用脉冲压缩和匹配滤波来检测天空中的大型移动物体,或在水中隐藏在工业部件内的小缺陷,本文的目的。通过实现雷达原理,基于频域激光超声(FDLU)的非破坏性测试(NDT)方式:线性频率调制(LFM Chirp)激发CW激光光束强度执行,超声信号互相关与使用脉冲压缩和匹配滤波的参考信号,导致通过可接受的信噪比以逆傅里叶变换来重建时域序列。理论上,激光超声雷达(LUR)信号用一个和三维热弹性方程进行建模,其组合用于同时预测实验靶标具有相对简单的数学表达式的正确位置和相对幅度使用在1-D(太简单)或单独的3-D(过于复杂)的方法中。该方法进一步用于检测金属合金内的埋地缺陷。结果表明,LUR系统能够确定合金材料的厚度并定量估计信号生成过程中类似于回声的信号生成过程中的缺陷的地下深度。

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