首页|基于超声C扫图像反卷积的棒材缺陷定量方法

基于超声C扫图像反卷积的棒材缺陷定量方法

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缺陷定量评价一直是无损检测领域研究的重点,超声波的扩散会导致C扫描图像边缘模糊,影响缺陷定量的准确性.为了提高棒材缺陷定量的准确性,提出了一种棒材超声C扫描图像反卷积方法.基于多元高斯声束模型(multi-gaussian beam model,MGB),根据超声波在曲面界面的传播规律,推导了棒材水浸超声成像系统的点扩散函数(point spread function,PSF).利用四轴超声水浸检测系统对含有平底孔的尼龙棒进行了检测,得到了C扫描图像,然后用Richardson-Lucy(RL)迭代算法对C扫描图像进行反卷积处理.使用 6dB下降法分别对原始图像和反卷积处理后的图像进行定量分析.结果表明,反卷积处理后定量误差更小,特别是将直径 1.5 mm平底孔的误差由88%降低到了18.7%.
Flaw sizing method for rod workpieces based on deconvolution of ultrasonic C-scan image
Flaw sizing is the focus of research in the flied of non-destructive testing.The diffusion of ultrasonic waves will cause edge blur of C-scan images,which affects the accuracy of flaw sizing.Based on the multi-Gaussian beam model,according to the propagation law of the ultrasonic wave at a curved interface,the point spread function(PSF)of the rod water-immersion ultrasonic imaging system is deduced.The nylon rod with flat-bottomed holes is scanned by a four-axis ultrasonic water-immersion testing system to obtain the C-scan image,and then the C-scan image is deconvoluted with the Richardson-Lucy iterative algorithm.The 6 dB drop technique is used to quantitatively analyze the original image and the deconvoluted image.The results indicate that the proposed deconvolution method exhibits a higher sizing accuracy.In particular,the error of the 1.5 mm diameter flat-bottom hole is reduced from 88%to 18.7%.

point spread functionmulti-Gaussian beam modelRichardson-Lucy(RL)iterative algorithmrod workpiece

董明、田辉、马宏伟、陈渊、苏成明、韩磊

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西安科技大学机械工程学院,陕西西安 710054

陕西省矿山机电装备智能检测与控制重点实验室,陕西西安 710054

西安智能再制造研究院有限公司,陕西西安 710018

渭南陕煤启辰科技有限公司,陕西渭南 714000

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点扩散函数 多元高斯声束模型 Richardson-Lucy(RL)迭代算法 棒材工件

2024

声学技术
中科院声学所东海研究站,同济大学声学所,上海市声学学会,上海船舶电子设备研究所

声学技术

CSTPCD北大核心
影响因子:0.415
ISSN:1000-3630
年,卷(期):2024.43(6)