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首页> 外文期刊>Nondestructive Testing and Evaluation >The ultrasonic evaluation method for the porosity of variable-thickness curved CFRP workpiece: using a numerical wavelet transform
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The ultrasonic evaluation method for the porosity of variable-thickness curved CFRP workpiece: using a numerical wavelet transform

机译:变厚度弯曲CFRP工件孔隙率的超声评估方法:数值小波变换

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摘要

The porosity of variable-thickness curved carbon fibre-reinforced plastic specimens was studied by ultrasonic pulse-echo method. There were six specimens used in the experiment. The thickness of each specimen ranges from 5 to 10 mm and the porosity of the specimens ranges from 0.4% to 3.8%. The backscattered signal was extracted from the ultrasonic signal. Then, the detail decomposed signal, which contains the information of porosity and was obtained from the backscattered signal by lifting wavelet transform, was analysed. The results are as follows. For the original backscattered signal, as the porosity increases, the amplitudes of the signal and its spectrum have a fluctuant increasing trend. The signal energy also has a similar trend. But for the decomposed signal, with the porosity increasing, the amplitudes of the signal and its spectrum have a linear increasing trend. The signal energy increases monotonically and has a quadratic relationship with porosity. By removing the interferential signal with lifting wavelet transform method, the decomposed signal can reflect the porosity information of the material accurately.
机译:采用超声脉冲回波法研究了变厚度弯曲碳纤维增强塑料试样的孔隙率。实验中使用了六个标本。每个样品的厚度为5至10mm,并且孔隙率的范围为0.4%至3.8%。从超声信号中提取出反向散射信号。然后,分析了细节分解信号,该信息包含孔隙度信息,并通过提升小波变换从反向散射信号中获得。结果如下。对于原始的反向散射信号,随着孔隙度的增加,信号的幅度及其频谱将呈波动增加趋势。信号能量也有类似的趋势。但是对于分解后的信号,随着孔隙率的增加,信号的幅度及其频谱具有线性增加的趋势。信号能量单调增加,与孔隙率呈二次关系。通过提升小波变换去除干涉信号,分解后的信号可以准确反映材料的孔隙率信息。

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