摘要
以Q235钢板为研究对象,搭建了带有磁屏蔽结构的、共用螺旋线圈的、分时复用的、二维电磁超声与远场涡流复合仿真模型,分析了电磁超声对近表面缺陷检测的盲区,并从永磁体参数、接收线圈参数对复合远场涡流模型进行优化。针对Q235钢板(5~15)mm电磁超声与远场电涡流共同作用的区域,将电磁超声得到的幅值信号和时间信号,远场涡流得到的线圈感应电压和阻抗参数,利用灰狼优化算法的支持向量机进行数据融合,反演出缺陷的参数,并设计实验验证了仿真模型的准确性。研究表明:所设计的电磁超声与远场复合线圈对缺陷检测的准确率达到百分之96.14%,远场涡流能够很好地弥补电磁超声的检测盲区。
With Q235 steel plate as the research object,set up with magnetic shielding structure,common spiral coil,time-sharing multiplexing,2d electromagnetic ultrasonic composite simulation model,and the far field eddy current analysis of the electromagnetic ultrasonic of near surface defect detection blind area,and from the permanent magnet parameters,receiving coil to compound the far field eddy current model optimization.On Q235 steel(5~15)mm electromagnetic ultrasonic and far field eddy current combination of the area,will be the amplitude of electromagnetic ultrasonic signal and time signal,the far field eddy current coil induced voltage and impedance parameters,using the gray Wolf optimization algorithm of support vector ma-chine(SVM)for data fusion,the parameters of performance defect,and designs the accuracy of the simulation model is verified by the experiments.The results show that the accuracy of the designed electromagnetic ultrasonic and far-field composite coil for defect detection can reach 96.14%,and the far-field eddy current can well make up for the blind spot of electromagnetic ultra-sonic detection.
作者
王志春
杨冰鑫
WANG Zhi-chun;YANG Bing-xin(Inner Mongolia University of Science and Technology College of Information Engineering,Inner Mongolia Baotou 014010,China)
出处
《机械设计与制造》
北大核心
2024年第5期223-228,共6页
Machinery Design & Manufacture
基金
国家自然科学基金资助项目(61463041)
内蒙古自治区自然科学基金资助项目(2018MS06001)
内蒙古自治区科技计划资助项目(2020GG0157)
内蒙古自治区包头市昆都仑科技计划项目(YF2020010)。
关键词
电磁超声
远场涡流
参数优化
数据融合
灰狼优化算法
缺陷反演
The Electromagnetic Ultrasonic
The Far Field Eddy Current
Parameter Optimization
Data Fusion
Grey Wolf Optimization Algorithm
The Defect of Inversion