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

Soleimani, M. and Ma, X. and Peyton, A. J. (2007) Dynamic magnetic induction tomography imaging of molten metal flow using the Kalman filter. In: 5th World Congress on Industrial Process Tomography, 2007-09-032007-09-06, Bergen, Norway.

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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.

Item Type: Conference or Workshop Item (Paper)
Journal or Publication Title: 5th World Congress on Industrial Process Tomography
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: Faculty of Science and Technology > Engineering
ID Code: 35045
Deposited By: Dr Xiandong Ma
Deposited On: 05 Jan 2011 13:30
Refereed?: Yes
Published?: Published
Last Modified: 24 Jan 2014 06:14
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/35045

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