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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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Ilie, Sergiu
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2024Investigating the Origin of Non-Metallic Inclusions in Ti-Stabilized ULC Steels Using Different Tracing Techniquescitations
- 2023Different Approaches to Trace the Source of Non-Metallic Inclusions in Steel
- 2023Application of tracing techniques to determine the source of alumina inclusions in the clogging layer of Ti-stabilized ULC steels
- 2023Classification of peritectic steels by experimental methods, computational thermodynamics and plant data: An Overview
- 2023Impurities and tramp elements in steel: Thermodynamic aspects and the application to solidification processes
- 2023Comparison of tracing deoxidation products with rare earth elements in the industry and on a laboratory scale
- 2022High temperature thermodynamics of the Fe-C-Mn system; new experimental data for the Fe-C-10 and 20 wt.-% Mn system
- 2022Different Approaches to Trace the Source of Non-Metallic Inclusions in Steelcitations
- 2022A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steelcitations
- 2022Selected metallurgical models for computationally efficient prediction of quality-related issues in continuous slab casting of steel
- 2022Thermomechanical and Microstructural Analysis of the Influence of B- and Ti-Content on the Hot Ductility Behavior of Microalloyed Steelscitations
- 2021Investigations on hot tearing in a continuous slab caster: Numerical modelling combined with analysis of plant results
- 2020Utilization of Experimental Data as Boundary Conditions for the Solidification Model Tempsimu-3Dcitations
- 2019Investigation of water droplet impingement under conditions of the secondary cooling zone of a continuous caster
- 2019High precious phase diagrams – a roadmap for a successful casting processing
- 2016HT-LSCM - A valuable tool for surface microstructure investigations
- 2012Hot deformation behaviour of low alloyed steelcitations
- 2012Influence of Strain Rate on Hot Ductility of a V-Microalloyed Steel Slabcitations
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article
A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel
Abstract
The market requirements on steel products with the highest surface and internal quality demand stimulate a systematic control of the steel solidification behavior during the continuous casting process. Computational process modeling is increasingly applied to understand and optimize casting practices and calibrate the soft reduction to guarantee the required product quality. In this work, we present an overview of m2CAST as a “development platform” for the continuous casting process. This platform consists of a numerical heat transfer model, considers results of laboratory experiments in the calculations, e.g. thermal analysis and nozzle measuring stand (NMS), and provides the option to use relevant process data. We investigated two case studies on a continuous slab caster at voestalpine Stahl Linz GmbH. In doing so, thermal boundary conditions obtained by the NMS were implemented, and the simulation trials were validated with temperature measurements of the dragged thermocouple method installed during the casting process. The temperature distribution over the strand width was measured additionally with two pyrometers placed in the straightening zone. Excellent agreement between the calculated strand surface temperature and the measured temperature was obtained. Furthermore, the results indicate the relevance of considering the roller bearing areas in defining the boundary conditions to accurately predict the shape of the crater end in the casting machine.