Magnetic Induction Tomography Sensors for Quantitative Visualization of Liquid Metal Flow Shape

This letter proposes magnetic induction tomography (MIT) sensors for liquid metal visualization. Design aspect and performance evaluation, which by far were overlooked, are presented to quantify the shape of conductive substance against a nonconductive region. Portable MIT sensors have been constructed and tested on GaInSn in the submerged entry nozzle model. Reconstruction result shows applicability for liquid metal imaging. This feature meets the need to observe flow regime and phase distribution of steel in continuous casting. There are challenging flow regimes that cannot yet fully be recovered, which are also investigated here.