Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Soleimani, Manuchehr

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (13/13 displayed)

  • 2022Laboratory Investigation of Tomography-Controlled Continuous Steel Casting7citations
  • 2021Interior Void Classification in Liquid Metal using Multi-Frequency Magnetic Induction Tomography with a Machine Learning Approach10citations
  • 2020Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materials10citations
  • 2018Real-time control of the mould flow in a model of continuous casting in frame of the TOMOCON projectcitations
  • 2017A novel metal flow imaging using electrical capacitance tomography16citations
  • 2017Planar array capacitance imaging sensor design optimisation44citations
  • 2011Crack detection in dielectric objects using electrical capacitance tomography imaging14citations
  • 2010Crack detection in dielectric objects using electrical capacitance tomographycitations
  • 2010Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor model63citations
  • 2010Helmholtz-type regularization method for permittivity reconstruction using experimental phantom data of ECT26citations
  • 2009Four-dimensional electrical capacitance tomography imaging using experimental data129citations
  • 2006A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data61citations
  • 2005Nonlinear image reconstruction for electrical capacitance tomography using experimental data223citations

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Muttakin, Imamul
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Eckert, Sven
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Banasiak, R.
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Dehghani, H.
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Yalavarthy, P.
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Mitchell, Cathryn N.
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Adler, A.
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Higson, Stuart R.
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Peyton, Antony J.
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Lionheart, William R. B.
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Ma, Xiandong
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Co-Authors (by relevance)

  • Muttakin, Imamul
  • Glavinić, Ivan
  • Abouelazayem, Shereen
  • Kenjeres, Sasa
  • Eckert, Sven
  • Stefani, Frank
  • Saidani, Iheb
  • Blishchik, Artem
  • Wondrak, T.
  • Wondrak, Thomas
  • Tholin-Chittenden, Carl
  • Stewart, Vj
  • Budd, Christopher
  • Stewart, Victoria J.
  • Dorn, S.
  • Banasiak, R.
  • Wajman, R.
  • Sankowski, D.
  • Dehghani, H.
  • Yalavarthy, P.
  • Mitchell, Cathryn N.
  • Adler, A.
  • Higson, Stuart R.
  • Peyton, Antony J.
  • Lionheart, William R. B.
  • Ma, Xiandong
OrganizationsLocationPeople

article

Nonlinear image reconstruction for electrical capacitance tomography using experimental data

  • Soleimani, Manuchehr
  • Lionheart, William R. B.
Abstract

Electrical capacitance tomography (ECT) attempts to image the permittivity distribution of an object by measuring the electrical capacitances between sets of electrodes placed around its periphery. Image reconstruction in ECT is a nonlinear and ill-posed inverse problem. Although reconstruction techniques based on a linear approximation are fast, they are not adequate for all cases. In this paper, we study the nonlinearity of the inverse permittivity problem of ECT. A regularized Gauss-Newton scheme has been implemented for nonlinear image reconstruction. The forward problem has been solved at each iteration using the finite element method and the Jacobian matrix is recalculated using an efficient adjoint field method. Regularization techniques are required to overcome the ill-posedness: smooth generalized Tikhonov regularization for the smoothly varying case, and total variation (TV) regularization when there is a sharp transition of the permittivity have been used. The reconstruction results for experimental ECT data demonstrate the advantage of TV regularization for jump changes, and show improvement of the image quality by using nonlinear reconstruction methods. © 2005 IOP Publishing Ltd.

Topics
  • impedance spectroscopy
  • tomography