Novel Conductivity Measurement of Thin Metallic Materials Using Crossover Frequency Feature From Triple-Frequency Eddy Current Signals.

IEEE Trans. Instrum. Meas.(2024)

引用 0|浏览2
暂无评分
摘要
Non-ferromagnetic thin metallic materials find extensive applications in the fields of electronics, aerospace, and instrumentation, wherein the conductivity of these metal materials serves as a crucial indicator of material quality. However, the established methods are subject to computational burden like model-based inversion, or invariant thickness. In this work, a novel simple but accurate method is proposed to determine the conductivity of thin films using crossover frequency feature from eddy current impedance. Firstly, the crossover phenomenon of resistance and reactance from swept-frequency eddy current impedance was investigated with a transformer model. It is found that the impedances of only triple frequencies are enough to accurately determine crossover frequency point. Secondly, crossover frequency is found to have an inverse proportional to conductivity of metal materials after mathematical manipulations, and it would change accordingly when liftoff distance and sample thickness changes. Afterwards, a mathematical map was derived by fitting work between sample thickness and slope rate. In this case, the proposed method is suitable for samples with thickness change without recalibration. Lastly, a PCB single-coil eddy current sensor was designed to validate the presented method through simulations and experiments. The results demonstrate that the developed crossover feature based method from triple frequency impedances, compared with a reported single frequency method, achieves better accuracy and more stable measurement results, with a maximum relative error of 2.26%. This new method only needs to gauge sample thickness without re-calibration work when the thickness of samples changes, and it does not need large computational resource.
更多
查看译文
关键词
Conductivity measurement,crossover frequency,triple-frequency eddy current,transformer model,thin metallic materials
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要