| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Soleimani, Manuchehr
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2022Laboratory Investigation of Tomography-Controlled Continuous Steel Castingcitations
- 2021Interior Void Classification in Liquid Metal using Multi-Frequency Magnetic Induction Tomography with a Machine Learning Approachcitations
- 2020Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materialscitations
- 2018Real-time control of the mould flow in a model of continuous casting in frame of the TOMOCON project
- 2017A novel metal flow imaging using electrical capacitance tomographycitations
- 2017Planar array capacitance imaging sensor design optimisationcitations
- 2011Crack detection in dielectric objects using electrical capacitance tomography imagingcitations
- 2010Crack detection in dielectric objects using electrical capacitance tomography
- 2010Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor modelcitations
- 2010Helmholtz-type regularization method for permittivity reconstruction using experimental phantom data of ECTcitations
- 2009Four-dimensional electrical capacitance tomography imaging using experimental datacitations
- 2006A three-dimensional inverse finite-element method applied to experimental eddy-current imaging datacitations
- 2005Nonlinear image reconstruction for electrical capacitance tomography using experimental datacitations
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article
Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materials
Abstract
Magnetic induction tomography (MIT) is a powerful imaging system for monitoring the state of metallic materials. Tomographic methods enable automatic inspection of metallic samples making use of multi-sensor measurements and data processing of eddy current-based sensing from mutual inductances. This paper investigates a multi-frequency MIT using both amplitude and phase data. The image reconstruction algorithm is based on a novel spectrally-correlative total variation method allowing an efficient and all-in-one spectral reconstruction. Additionally, the paper shows the rate of change in spectral images with respect to the excitation frequencies. Using both spectral maps and their spectral derivative maps, one can derive key structural and functional information regarding the material under test. This includes their type, size, number, existence of voids and cracks. Spectral maps can also give functional information, such as mechanical strains and their thermal conditions and composition.