Dynamic Electromagnetic Induction Imaging of Molten Metal Flow using the Kalman Filter

Reference:

Soleimani, M., Peyton, A. and Ma, X., 2007. Dynamic Electromagnetic Induction Imaging of Molten Metal Flow using the Kalman Filter. In: 5th World Congress in Process Tomography 2007, 2007-09-03 - 2007-09-06, Bergen.

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Abstract

A dynamic complex electromagnetic induction imaging technique is developed with the aid of the linear Kalman filter (LKF) for real-time reconstruction of molten metal flow. The forward problem is solved by an edge finite element method. The inverse problem is treated as a state estimation problem. The conductivity distribution is estimated with the aid of the Kalman estimator. The Kalman gain matrix is pre-computed and stored off-line to minimize the on-line computational time. Simulation and experimental tests are reported to illustrate the reconstruction performances in the sense of spatio-temporal resolution in a simplified geometry of the metal flow in continuous casting.

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