ABSTRACT This study proposed a new magnetic induction tomography (MIT) sensor-based electromagnetic induction to reconstruct the conductivity distribution of target conductors and ultimately visualize carbon fiber reinforced plastic (CFRP) plates to measure their defects. This unique MIT sensor was designed for all coil centers located in one line, whereas perpendicular center lines of excitation and detection coils were simulated in a 3D finite element model. The parameters of frequencies, turns, excitation currents, and liftoffs were optimized to further improve sensitivity. Four broken wire defects at different depths were also inspected in an experiment and imaged by the Landweber algorithm. The new probe effectively identified the 4 mm × 4 mm × 0.5 mm defect buried at 1.5 mm. The different depths of defects were also established by the voltage amplitude of the detection coil. The concavity of the reconstructed images effectively represented the depths of the defects. Hence, this MIT probe is highly useful in quantitatively measuring the defects of CFRP plates and visually displaying.

中文翻译：

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碳纤维增强复合材料磁感应层析成像缺陷研究

摘要 本研究提出了一种新的基于磁感应断层扫描 (MIT) 传感器的电磁感应，以重建目标导体的电导率分布，并最终可视化碳纤维增强塑料 (CFRP) 板以测量其缺陷。这种独特的 MIT 传感器专为位于一条线上的所有线圈中心而设计，而励磁和检测线圈的垂直中心线则在 3D 有限元模型中进行模拟。优化了频率、匝数、激励电流和提升的参数以进一步提高灵敏度。在实验中还检查了四个不同深度的断线缺陷，并通过 Landweber 算法成像。新探针有效地识别了埋在 1.5 mm 处的 4 mm × 4 mm × 0.5 mm 缺陷。不同深度的缺陷也由检测线圈的电压幅度确定。重建图像的凹度有效地代表了缺陷的深度。因此，这种 MIT 探针在定量测量 CFRP 板的缺陷和视觉显示方面非常有用。