Page 84 - 《应用声学》2020年第4期
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第 39 卷 第 4 期                                                                       Vol. 39, No. 4
             2020 年 7 月                          Journal of Applied Acoustics                      July, 2020

             ⋄ 研究报告 ⋄



                               轴类超声检测的波束扩散成像                                            ∗






                                       张 琪    1   胡 斌     2†   陈 乐    1   原可义     2


                                             (1 中国计量大学机电工程学院        杭州  310018)
                                             (2 中国特种设备检测研究院        北京   100029)

                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，
                该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，检测数据信号增益能够达到 12 dB 以上。
                关键词：轴类超声检测；层析成像；波束扩散；叠加算法
                中图法分类号: TG115.28+5           文献标识码: A          文章编号: 1000-310X(2020)04-0570-11
                DOI: 10.11684/j.issn.1000-310X.2020.04.011




                     Image method of shaft ultrasonic detection based on beam diffusion



                                     ZHANG Qi  1  HU Bin 2  CHEN Le  1   YUAN Keyi  2

                      (1 College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China)

                            (2 China Special Equipment Inspection and Research Institute, Beijing 100029, China)

                 Abstract: 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
                 were 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. In order
                 to 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 12 dB.
                 Keywords: Shaft ultrasonic testing; CT; Beam diffusion; Accumulation algorithm







             2019-09-21 收稿; 2019-11-28 定稿
             国家重点研发计划重点专项 (2017YFF021070)
             ∗
             作者简介: 张琪 (1995– ), 女, 山东临沂人, 硕士研究生, 研究方向: 超声无损检测。
             † 通信作者 E-mail: hubin@csei.org.cn
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