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张晓丹, 白石, 刘志尧, 林禹熙, 黄平, 郑福印. 航空锂电池焊缝的多通道多频涡流检测[J]. 焊接学报. DOI: 10.12073/j.hjxb.20230809002
引用本文: 张晓丹, 白石, 刘志尧, 林禹熙, 黄平, 郑福印. 航空锂电池焊缝的多通道多频涡流检测[J]. 焊接学报. DOI: 10.12073/j.hjxb.20230809002
ZHANG Xiaodan, BAI Shi, LIU Zhiyao, LIN Yuxi, HUANG Ping, ZHENG Fuyin. Multi-channel multi-frequency eddy current detection of lithium battery welds in aviation field[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION. DOI: 10.12073/j.hjxb.20230809002
Citation: ZHANG Xiaodan, BAI Shi, LIU Zhiyao, LIN Yuxi, HUANG Ping, ZHENG Fuyin. Multi-channel multi-frequency eddy current detection of lithium battery welds in aviation field[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION. DOI: 10.12073/j.hjxb.20230809002

航空锂电池焊缝的多通道多频涡流检测

Multi-channel multi-frequency eddy current detection of lithium battery welds in aviation field

  • 摘要: 为了实现航空锂电池极耳极板激光焊缝的高效准确检测,设计制作了带有层析成像功能的多通道多频涡流检测系统. 采用该系统及5通道防干扰差分结构涡流传感器对极耳极板焊缝中的局部断焊、整体漏焊、焊缝变形内凹、微小缺陷等典型缺陷进行检测,并基于趋肤效应原理,采用层析成像技术对焊瘤缺陷进行扫查成像. 结果表明,研发的带有层析成像功能的多通道多频涡流检测系统可有效检测出锂电池极耳极板焊缝中的多种典型缺陷,最小可检测\phi 1 mm的缺陷,层析成像技术可实现不同深度下缺陷的形貌观测. 通过对大量检测结果的对比分析,总结了缺陷种类、位置及长度的判别方法,提出了一套缺陷判别流程与评定准则,为实现锂电池极耳极板焊缝检测的工程化奠定了良好的基础.

     

    Abstract: In order to realize the efficient and accurate detection of laser welds of aviation lithium battery, a multi-channel multi-frequency eddy current detection system with the function of tomographic imaging was designed and developed. The system and the 5-channel anti-interference differential structure eddy current sensor were used to detect the typical defects in the tag polar plate weld, such as local incomplete welding, overall missing welding, weld deformation and concave, and micro defect. Based on the principle of skin effect, tomographic imaging technology is used to scan and image the overlap. The results show that the developed multi-channel multi-frequency eddy current detection system with the function of tomographic imaging can effectively detect a variety of typical defects in the tag polar plate weld of lithium batteries, and the smallest defects can be detected at \phi 1 mm. The tomographic imaging technology enables the observation of defect morphology at different depths. Through the comparative analysis of a large number of test results, the identification methods of defect type, location and length were summarized, and a set of defect identification process and evaluation criteria were proposed, which laid a good foundation for the engineering realization of the lithium battery weld detection.

     

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