首页|电磁超声与电涡流复合线圈的数据融合及分析

电磁超声与电涡流复合线圈的数据融合及分析

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  • NETL
  • NSTL
  • 万方数据
  • 维普
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.
Data Fusion and Analysis of Electromagnetic Ultrasound and Eddy Current Compound Coi
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.

The Electromagnetic UltrasonicThe Far Field Eddy CurrentParameter OptimizationData FusionGrey Wolf Optimization AlgorithmThe Defect of Inversion

王志春、杨冰鑫

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内蒙古科技大学信息工程学院,内蒙古 包头 014010

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

国家自然科学基金资助项目内蒙古自治区自然科学基金资助项目内蒙古自治区科技计划资助项目内蒙古自治区包头市昆都仑科技计划项目

614630412018MS060012020GG0157YF2020010

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子：0.511
ISSN：1001-3997
年,卷(期)：2024.399(5)
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