磁光成像漏磁特征在焊接缺陷轮廓重构中的应用

高向东; 周晓虎; 李彦峰; 代欣欣; 张南峰

doi:10.3788/OPE.20192708.1863

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磁光成像漏磁特征在焊接缺陷轮廓重构中的应用

信息科学 | 更新时间：2020-08-13

- 磁光成像漏磁特征在焊接缺陷轮廓重构中的应用
- Application of magneto-optical imaging magnetic flux leakage characteristics in contour reconstruction of welding defects
- 光学精密工程 2019年27卷第8期页码：1863-1869
- 作者机构：
  
  广东工业大学广东省焊接工程技术研究中心，广东广州 510006
- 作者简介：
  
  [ "高向东(1963-)，男，河南郑州人，教授，博士生导师，1988年于中南大学获得硕士学位，1998年于华南理工大学获得博士学位，主要从事焊接自动控制的研究。E-mail：gaoxd@gdut.edu.cn" ]
  [ "周晓虎(1992-)，男，河南信阳人，硕士研究生，2016年于中原工学院信息商务学院获学士学位，主要从事焊接缺陷无损检测的研究。E-mail：zhouxh0917@126.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(51675104);广东省科技计划资助项目(2016A010102015);广东省教育厅创新团队项目(2017KCXTD010)
- DOI：10.3788/OPE.20192708.1863
  中图分类号： TG115
- 收稿日期：2018-11-07，
  
  录用日期：2019-1-27，
  
  纸质出版日期：2019-08-15
- 稿件说明：
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高向东, 周晓虎, 李彦峰, 等. 磁光成像漏磁特征在焊接缺陷轮廓重构中的应用[J]. 光学精密工程, 2019,27(8):1863-1869.

Xiang-dong GAO, Xiao-hu ZHOU, Yan-feng LI, et al. Application of magneto-optical imaging magnetic flux leakage characteristics in contour reconstruction of welding defects[J]. Optics and precision engineering, 2019, 27(8): 1863-1869.
高向东, 周晓虎, 李彦峰, 等. 磁光成像漏磁特征在焊接缺陷轮廓重构中的应用[J]. 光学精密工程, 2019,27(8):1863-1869. DOI： 10.3788/OPE.20192708.1863.

Xiang-dong GAO, Xiao-hu ZHOU, Yan-feng LI, et al. Application of magneto-optical imaging magnetic flux leakage characteristics in contour reconstruction of welding defects[J]. Optics and precision engineering, 2019, 27(8): 1863-1869. DOI： 10.3788/OPE.20192708.1863.

摘要

为了实现焊接缺陷的检测与评估，提出将交变磁场激励下磁光成像的漏磁特征应用于焊接缺陷的轮廓重构当中，建立漏磁重构模型，研究焊接缺陷的二维轮廓特征。首先根据交变磁场下的漏磁场的形成机理，讨论漏磁场分量

，

两种漏磁信号与缺陷轮廓存在的关系。再利用数值模拟方法获取数据，训练其广义回归神经网络(Generalized Regression Neural Network，GRNN)来确定该模型并说明漏磁场信号可以实现缺陷轮廓重构。最后，将磁光成像漏磁特征的数据应用于模型训练，确定重构的可行性。试验结果表明，应用磁光成像漏磁特征的图像数据与仿真获得的轮廓重构规律一致，能够实现焊接缺陷二维轮廓重构。在一定范围内，缺陷深度越大(不小于0.45 mm)，重构效果越好。

Abstract

In this study

to detect and evaluate welding defects effectively

magnetic flux leakage characteristics of magneto-optic imaging under alternating magnetic field excitation are proposed for application in the contour reconstruction of welding defects. A magnetic flux leakage reconstruction model was also established to study the two-dimensional contour characteristics of welding defects. First

based on the formation mechanism of a leakage magnetic field under an alternating magnetic field

the relationship between the two leakage magnetic field component signals (

and

) and the defect contour was discussed. Second

a generalized regression neural network was trained using numerical simulation data

to determine the model and to show that the leakage magnetic field signal can achieve defect contour reconstruction. Finally

the data derived from magneto optic imaging magnetic leakage characteristics were applied to the training of the model

to determine the feasibility of reconstruction. Experimental results show that the image data of the magnetic flux leakage characteristics are consistent with the contour reconstruction rule obtained through simulation

and a two-dimensional contour reconstruction of welding defects can be realized. Within a specific range

the greater (no less than 0.45 mm) the depth of the defect

the better the reconstruction effect.

关键词

Keywords

references

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