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Dynamic magnetic induction tomography imaging of molten metal flow using the Kalman filter.

Research output: Contribution to conferenceConference paper

Published

  • M. Soleimani
  • X. Ma
  • A. J. Peyton
Publication date09/2007
Number of pages5
Original languageEnglish

Conference

Conference5th World Congress on Industrial Process Tomography
CityBergen, Norway
Period3/09/076/09/07

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.