摘要
涡流检测是一种非破坏性检测方法。以高速列车构架为检测对象,结合涡流与自动化设备检测技术,针对人工涡流检测效率低、结果一致性差等问题,提出涡流自动成像检测方法。通过建立构架焊缝的涡流探头仿真模型,分析激励电流方向对检测信号的影响,优化激励线圈相关参数并制作涡流探头;设计开发构架涡流自动成像检测系统,开展构架焊缝表面缺陷自动化检测试验。对比分析激励频率、激励电压等涡流检测工艺参数以及探头扫查速度、扫查轨迹间距等路径参数对缺陷涡流信号的影响,研究结果表明,利用涡流自动成像检测系统可以对构架整车进行自动探伤,能够将构架焊缝处缺陷以图像形式呈现,可以有效检出0.3、0.5 mm深的人工缺陷,对构架批量产线化检测具有参考价值。
Eddy current testing is a non-destructive testing method.Focusing on the high-speed train frame as the inspection target and integrating robot and automation technology for detection,an eddy current automatic imaging detection method is proposed to address the issues of low efficiency and inconsistency in manual eddy current inspection.An eddy current probe simulation model is established for the frame weld to analyze the influence of the excitation current direction on the detection signal.The relevant parameters of the excitation coil are optimized,and the eddy current probe is manufactured.An eddy current automatic imaging detection system is designed and developed for the frame,enabling automated detection tests for surface defects of the frame welds.A comparison and analysis are conducted on the effects of eddy current testing process parameters,such as excitation frequency and voltage,as well as path parameters,such as probe scanning speed and track spacing,on defect signals.The results indicate that the eddy current automatic imaging detection method can be utilized for automated flaw detection of the entire frame.It can visualize defects at the frame welds in image form,effectively detecting artificial defects with depths of 0.3 mm and 0.5 mm.This capability holds significant value for the inspection of frame production lines in batch manufacturing.
作者
张丽攀
张敏
鲍博轩
刘云程
陶宇
宋凯
ZHANG Lipan;ZHANG Min;BAO Boxuan;LIU Yuncheng;TAO Yu;SONG Kai(Key Laboratory of Nondestructive Testing of Ministry of Education,Nanchang Hangkong University,Nanchang 330063,China)
出处
《中国测试》
北大核心
2025年第1期47-54,共8页
China Measurement & Test
基金
国家自然科学基金项目(51865033)。
关键词
构架焊缝
涡流成像
电磁场仿真
自动化检测
检测工艺参数
frame weld
eddy current imaging
electromagnetic field simulation
automatic detection
detection process parameters
