一种用于增强运动感应涡流缺陷检测的磁场增强激励结构

IF 5.6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Bingkun Wei, Lisha Peng, Yangbo Liu, Jinghua Zhang, Shuzhi Wen, Shisong Li, Songling Huang
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引用次数: 0

摘要

在锂离子电池中充当集流器的铜箔和铝箔是通过连续轧制厚板以达到所需的薄箔厚度来制造的。在厚板轧制过程中一旦出现缺陷,不可避免地会扩散到箔中,从而影响生产质量,进一步恶化电池的电化学性能和安全性。基于单个永磁体或直流线圈的传统检测方法通常对小缺陷产生弱响应,使其不适合高速制造。为了克服这一局限性,本研究提出了一种磁场增强励磁结构,并建立了理论模型,分析了磁体间距和离体距离对磁场特性的影响。采用有限元模拟方法研究了它们对运动感应涡流信号的影响。实验结果表明,该结构与单磁体结构相比,缺陷信号幅值提高了59.9% ~ 92.7%,在缺陷尺寸小、离体距离短的情况下,缺陷信号幅值提高尤为显著。为电池生产中铜、铝箔的高速缺陷检测和质量控制提供了有效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A magnetic field reinforced excitation structure for enhanced motion-induced eddy current defect detection
Copper and aluminum foils, serving as current collectors in lithium-ion batteries, are manufactured by continuously rolling thick plates to the desired thin-foil thickness. Once defects occur during the rolling of thick plates, they inevitably propagate into the foils, thereby compromising production quality and further deteriorating the electrochemical performance and safety of batteries. Conventional detection methods based on a single permanent magnet or DC coil often generate weak responses to small defects, making them unsuitable for high-speed manufacturing. To overcome this limitation, this study proposes a magnetic-field-reinforced excitation structure and establishes a theoretical model to analyze the effects of magnet spacing and lift-off distance on magnetic field characteristics. Finite element simulations are employed to investigate their influence on motion-induced eddy current (MIEC) signals. Experimental results show that the proposed structure enhances defect signal amplitudes by 59.9–92.7 % compared with single magnet configurations, with particularly significant improvements for small defect sizes and short lift-off distances. This work provides an effective method for high-speed defect detection and quality control of copper and aluminum foils in battery manufacturing.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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