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焊接缺陷磁光成像磁场分布数值模拟与试验分析
代欣欣, 郑俏俏, 季玉坤, 高向东
广东工业大学 广东省焊接工程技术研究中心, 广州 510006
摘要:
以激光对接焊的焊接缺陷为对象,研究基于数值模拟的焊接缺陷漏磁场的分析方法. 建立对接焊焊接缺陷检测的三维模型,利用漏磁场理论对比分析不同几何缺陷与漏磁场信号之间的关系规律,并用试验进行验证. 结果表明,裂纹的深度越深,磁感应强度越大,未熔合、凹坑分别随着角度、宽度的增大而磁感应强度减小,并且验证漏磁场信号可以作为焊接缺陷检测的依据. 采用RGB分割法对磁光图像进行分割并提取几何特征,用模糊C-均值聚类(FCM)对不同焊接缺陷进行识别,有良好的识别率.
关键词:  漏磁场检测  缺陷类型  有限元分析  图像分割  特征提取
DOI:10.12073/j.hjxb.2019400321
分类号:TG441.7
基金项目:国家自然科学基金资助项目(51675104);广东省教育厅创新团队项目(2017KCXTD010);广州市科技创新发展专项资金项目(202002020430100004)
Numerical simulation and experimental analysis of magnetic field distribution of magneto-optical imaging in weld defects
DAI Xinxin, ZHENG Qiaoqiao, JI Yukun, GAO Xiangdong
Guangdong Provincial Welding Engineering Technology Research Center, Guangdong University of Technology, Guangzhou 510006, China
Abstract:
Taking the weld defects of laser butt welding as the object, the analysis method of magnetic leakage field of weld defects was studied based on numerical simulation. The three dimension finite models of the weld defects detection of laser butt welding was established by Magnet. The relationship between different geometrical defects and their leakage magnetic field signals was compared and analyzed by using the theory of leakage magnetic field, and verified by experiments. The numerical simulation results show that the deeper the crack depth is, the larger the magnetic induction intensity is. The magnetic induction intensity decreases with increase of the angle and width of unfused and concave pits. Magnetic leakage signal can be used as the basis of weld defect detection. Besides, the magneto-optical image was segmented by RGB segmentation method and the features were extracted. Fuzzy c-mean clustering (FCM) was used to identify different weld defects. The results show that the recognition rate is good.
Key words:  leakage magnetic field detection  defect types  finite element analysis  image segmentation  feature extraction