Laboratory Investigation of Tomography-Controlled Continuous Steel Casting
Ivan Glavinić (Helmholtz Zentrum Dresden Rossendorf)
Imamul Muttakin (University of Bath)
Shereen Abouelazayem (Technical University of Liberec, Liberec)
Artem Blishchik (TU Delft - ChemE/Transport Phenomena)
Frank Stefani (Helmholtz Zentrum Dresden Rossendorf)
Sven Eckert (Helmholtz Zentrum Dresden Rossendorf)
Manuchehr Soleimani (University of Bath)
Iheb Saidani (Helmholtz Zentrum Dresden Rossendorf)
Saša Kenjereš (TU Delft - ChemE/Transport Phenomena)
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Abstract
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.
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