| 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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Chawla, Ashish
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2023Numerical Modelling for the Effect of Metalmould Air Gaps on Shell Thickness in Horizontal Continuous Casting of Cast Ironcitations
- 2022Laying the foundational building blocks for digitalization of horizontal continuous casting
- 2022Laying the foundational building blocks for digitalization of horizontal continuous casting
- 2021Advanced Process Models for analysis and process control of continuous casting of cast iron
Places of action
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document
Laying the foundational building blocks for digitalization of horizontal continuous casting
Abstract
Implementation of digital, intelligent control systems have traditionally not been easy because of various reasons including harsh temperature conditions, standardized measurements, and conventional mindset in foundries. However, it is possible to digitalize and control the foundry industry by exploiting the modern-day technological tools. The present project presents an integrated physics-based and statistical modelling approach to produce models that forms the fundamental building blocks for digitalization of a continuous casting foundry. Real life online experimentation is a crucial step across the progress of the project to validate the science-based models and to produce data for statistical models.