Dingley Gavin, Soleimani Manuchehr
Engineering Tomography Laboratory, Department of Electronic and Electrical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK.
Sensors (Basel). 2021 May 25;21(11):3671. doi: 10.3390/s21113671.
Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-destructive testing is well established, showing that corrosion, fatigue and mechanical loading are detectable in metals. Applying the same principles to MIT would provide a useful imaging tool for determining the condition of metal components. A compact MIT instrument is described, including the design aspects and system performance characterisation, assessing dynamic range and signal quality. The image rendering ability is assessed using both external and internal object inclusions. A multi-frequency MIT system has similar capabilities as transient based pulsed eddy current instruments. The forward model for frequency swap multi-frequency is solved, using a computationally efficient numerical modelling with the edge-based finite elements method. The image reconstruction for spectral imaging is done by adaptation of a spectrally correlative base algorithm, providing whole spectrum data for the conductivity or permeability.
磁感应断层成像(MIT)主要专注于生物医学和工业过程工程中的应用。MIT在对金属样品成像方面具有巨大潜力;然而,针对金属部件的测试和监测的进展较少。涡流无损检测已经很成熟,表明金属中的腐蚀、疲劳和机械载荷是可检测的。将相同原理应用于MIT将为确定金属部件的状况提供一种有用的成像工具。描述了一种紧凑型MIT仪器,包括设计方面和系统性能表征,评估动态范围和信号质量。使用外部和内部物体夹杂物评估图像渲染能力。多频MIT系统具有与基于瞬态的脉冲涡流仪器类似的功能。使用基于边缘的有限元方法通过计算高效的数值建模求解频率交换多频的正向模型。通过改编光谱相关基算法进行光谱成像的图像重建,提供电导率或磁导率的全光谱数据。