基于涡流脉冲热成像的焊缝表面多缺陷检测

王传钊; 姜秀海; 晁永生; 王永兵; 王勇勇

基于涡流脉冲热成像的焊缝表面多缺陷检测

1.
新疆大学机械工程学院, 新疆乌鲁木齐 830017
2.
新疆维吾尔自治区特种设备检验研究院, 新疆乌鲁木齐 830047

基金项目:

新疆维吾尔自治区自然科学基金项目 2020D01A104

详细信息

作者简介:
王传钊（1996-），男，新疆额敏人，硕士研究生，主要从事红外图像处理方面的研究。E-mail：1456911714@qq.com

通讯作者:
晁永生（1976-），男，新疆乌鲁木齐人，副教授，博士，主要从事智能制造方面的工作。E-mail：cys21st@163.com

中图分类号: TH811.2
计量
- 文章访问数: 168
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- PDF下载量: 30
- 被引次数: 0
出版历程
- 收稿日期: 2021-10-20
- 修回日期: 2021-12-28
- 刊出日期: 2023-01-20

Multi-defect Detection of Welding Surface Based on Eddy Current Pulse Thermography

1.
College of Mechanical Engineering, Xinjiang University, Urumqi Xinjiang 830017, China
2.
Xinjiang Uygur Autonomous Region Special Equipment Inspection and Research Institute, Urumqi Xinjiang 830047, China

摘要

摘要: 焊缝表面气孔缺陷的存在减少了工件的有效截面积，降低了工件抵抗外载荷的能力，严重时会导致工件断裂，为此提出一种基于涡流脉冲热成像技术的焊缝表面多缺陷检测方法。首先，采用一种新型电磁传感器结构，通过涡流脉冲热成像原理对不同直径和深度的碳钢缺陷进行检测，并分析了图像序列中缺陷区域与非缺陷区域的温度信号；为了提高该检测系统的灵敏度，采用主成分分析方法对图像序列进行图像重构，增强原始图像中缺陷特征。最后，通过实验验证了该方法，实验结果表明该方法能够减小焊缝边缘效应的影响，实现对焊缝表面缺陷的大面积检测，并为红外热像仪提供一个开放的视野。
- 焊缝气孔 /
- 涡流脉冲热成像 /
- 缺陷检测 /
- 主成分分析
Abstract: The existence of porosity defects on the weld surface reduces the effective cross-sectional area of the workpiece and the ability of the workpiece to resist external loads, which leads to workpiece fracture in serious cases. Therefore, a multi-defect detection method for weld surfaces based on eddy current pulse thermography technology is proposed. First, a new electromagnetic sensor structure is adopted to detect carbon steel defects with different diameters and depths through the principle of eddy current pulse thermography, and the temperature signals of the defect and non-defect areas in the image sequence are analyzed. To improve the sensitivity of the detection system, principal component analysis (PCA) is used to reconstruct the image sequence and enhance the defect features in the original image. Finally, the proposed method was verified experimentally. The experimental results show that this method can reduce the influence of the weld edge effect, realize large-area detection of weld surface defects, and provide an open field of vision for infrared thermal imaging.
- weld porosity /
- eddy current thermography /
- defect detection /
- principal component analysis

HTML全文

图 1 涡流热成像的检测原理

Figure 1. Detection principle of eddy current thermal imaging

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图 2 结构中的磁通量路径

Figure 2. Magnetic flux path in structure

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图 3 结构的磁路模型

Figure 3. Magnetic circuit model of the structure

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图 4 PCA热图像序列处理

Figure 4. PCA thermal image sequence processing

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图 5 涡流热成像试验系统

Figure 5. Eddy current thermal imaging test system

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图 6 磁芯结构图

Figure 6. Magnetic core structure diagram

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图 7 焊缝检测试件

Figure 7. Welding test specimen

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图 8 焊缝表面不同时刻热图像

Figure 8. Thermal images of welding surface at different moments

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图 9 缺陷处的温度曲线

Figure 9. Temperature curve at the defect

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图 10 缺陷与周围区域的温度差异

Figure 10. Temperature difference between defect and surrounding area

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图 11 沿焊缝缺陷L1方向的热分布

Figure 11. Heat distribution along the direction of weld defect L1

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图 12 不同时刻焊缝小孔缺陷的热图像

Figure 12. Thermal images of weld hole defects at different moments

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图 13 主成分重建图像

Figure 13. Principal component reconstruction image

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表 1 激励结构参数

Table 1. Dimensions of excitation structure

Parameters L1 L2 L3 L4 L5 L6 L7

Value/mm 100 70 15 15 70 15 15

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表 2 圆孔缺陷参数

Table 2. Parameters of round hole defect

Parameters D1 D2 D3 D4 D5 D6 D7 D8

Diameter/mm 4 2 2 2 1 1 1 1

Depth/mm 2 3 2 1 1 2 3 5

下载: 导出CSV

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