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

Manuchehr Soleimani, AJ Peyton, X Ma

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Publication statusPublished - 2007
Event5th World Congress in Process Tomography 2007 - Bergen, Norway
Duration: 3 Sep 20076 Sep 2007

Conference

Conference5th World Congress in Process Tomography 2007
CountryNorway
CityBergen
Period3/09/076/09/07

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