| 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
Laboratory Investigation of Tomography-Controlled Continuous Steel Casting
Abstract
<p>More than 96% of steel in the world is produced via the method of continuous casting. The flow condition in the mould, where the initial solidification occurs, has a significant impact on the quality of steel products. It is important to have timely, and perhaps automated, control of the flow during casting. This work presents a new concept of using contactless inductive flow tomography (CIFT) as a sensor for a novel controller, which alters the strength of an electromagnetic brake (EMBr) of ruler type based on the reconstructed flow structure in the mould. The method was developed for the small-scale Liquid Metal Model for Continuous Casting (mini-LIMMCAST) facility available at the Helmholtz-Zentrum Dresden-Rossendorf. As an example of an undesired flow condition, clogging of the submerged entry nozzle (SEN) was modelled by partly closing one of the side ports of the SEN; in combination with an active EMBr, the jet penetrates deeper into the mould than when the EMBr is switched off. Corresponding flow patterns are detected by extracting the impingement position of the jets at the narrow faces of the mould from the CIFT reconstruction. The controller is designed to detect to undesired flow condition and switch off the EMBr. The temporal resolution of CIFT is 0.5 s.</p>