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轴类超声检测的波束扩散成像*

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张琪,胡斌,陈乐,原可义.轴类超声检测的波束扩散成像*[J].,2020,39(4):570-580
轴类超声检测的波束扩散成像*
Image method of shaft ultrasonic detection based on beam diffusion
投稿时间：2019-09-21修订日期：2020-07-01
中文摘要:
大型轴类工件安装完成后通常只能从其端面进行检测,危害性的裂纹类缺陷不易检出,针对上述问题,本文提出了轴类对象基于波束扩散的端面网格化超声检测层析成像方法,搭建了轴类超声检测试验平台,在端面对其内部的平底孔缺陷进行检测,基于波束扩散设计叠加算法进行数据处理,然后根据结果重构出代表每个深度内部信息的伪彩色横截面图像,以方便快速识别内部缺陷位置和范围。与常规方法对比得出,基于波束扩散的叠加算法处理数据成像质量更佳,提高缺陷检测灵敏度达到12dB以上。
英文摘要:
After the installation of large shaft workpieces, it is usually only possible to detect from the end faces, and the dangerous crack defects are not easy to detect. In view of the above problems, this paper proposes a beam-based end-grid ultrasonic detection tomography method based on beam diffusion. A shaft ultrasonic testing platform was built, and the flat bottom hole defects were detected at the end face. The data was processed based on the beam diffusion design superposition algorithm, and then the pseudo color cross section representing the internal information of each depth was reconstructed according to the result. Images to facilitate quick identification of internal defect locations and ranges. Compared with the conventional method, the beam diffusion based superposition algorithm processes the data imaging quality better, and improves the defect detection sensitivity to more than 12dB.
DOI：10.11684/j.issn.1000-310X.2020.04.011
中文关键词:轴类超声检测,层析成像,波束扩散,叠加算法
英文关键词:Shaftultrasonic testing, CT, Beamdiffusion, Accumulationalgorithm
基金项目:
作者单位E-mail
张琪中国计量大学机械工程学院、中国特种设备检测研究院zq1781612964@163.com
胡斌中国特种设备检测研究院hubin@csei.org.cn
陈乐中国计量大学 杭州clcjlu@126.com
原可义中国特种设备检测研究院 北京yuankeyi@outlook.com
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