采用便携式超声特征成像检测系统全波列采集检测信号,通过对缺陷特征信号的提取和重构,实现自动识别,可适用于曲面等不规则面的检测,定量精度达到0.1 mm.实验结果表明低频窄带超声换能器能够减小铜网对声波的衰减和畸变,超声特征成像层析成像方法可以对表面铜网结构CFRP泡沫夹层中分层、冲击和脱粘缺陷进行识别并精确定位和定量.检测方法快捷准确、重复性好、可靠性高.
Using the portable ultrasonic feature imaging testing system of full wave acquisition of test signal,can be realize through the extraction and reconstruction of defect feature signal,automatic identification of defects,which can be applied to the surface and irregular surface detection with quantitative accuracy of 0.1 mm.The experimental results show that the low-frequency narrowband ultrasonic transducer can reduce the copper net on the acoustic attenuation and distortion,ultrasonic feature imaging tomography method can identify layered surface copper net structure of CFRP foam sandwich defects effectively,accurate recognige the location of impact of defects and debonding defects and quantification.The detection method is fast,accurate,reproducible and reliable
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