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A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data.

Research output: Contribution to journalJournal article

Published

  • M. Soleimani
  • W. R. B. Lionheart
  • A. J. Peyton
  • Xiandong Ma
  • S. R. Higson
Journal publication date05/2006
JournalIEEE Transactions on Magnetics
Journal number5
Volume42
Pages1560 -1567
Original languageEnglish

Abstract

Eddy-current techniques can be used to create electrical conductivity mapping of an object. The eddy-current imaging system in this paper is a magnetic induction tomography (MIT) system. MIT images the electrical conductivity of the target based on impedance measurements from pairs of excitation and detection coils. The inverse problem here is ill-posed and nonlinear. Current state-of-the-art image reconstruction methods in MIT are generally based on linear algorithms. In this paper, a regularized Gauss-Newton scheme has been implemented based on an edge finite-element forward solver and an efficient formula for the Jacobian matrix. Applications of Tikhonov and total variation regularization have been studied. Results are presented from experimental data collected from a newly developed MIT system. The paper also presents further progress in using an MIT system for molten metal flow visualization in continuous casting by applying the proposed algorithm in a real experiment in a continuous casting pilot plant of Corus RD&T, Teesside Technology Centre.

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