| 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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Visuri, Ville-Valtteri
University of Oulu
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024Electric steelmaking process monitoring with optical emission spectroscopy – An in-depth reviewcitations
- 2023Modeling the precipitation of aluminum nitride inclusions during solidification of high‐aluminum steelscitations
- 2023Vibration and Audio Measurements in the Monitoring of Basic Oxygen Furnace Steelmakingcitations
- 2023Modeling the residence time of metal droplets in slag during BOF steelmakingcitations
- 2023Assessing the Effects of Steel Composition on Surface Cracks in Continuous Casting with Solidification Simulations and Phenomenological Quality Criteria for Quality Prediction Applicationscitations
- 2022A kinetic model for precipitation of TiN inclusions from both homogeneous and heterogeneous nucleation during solidification of steelcitations
- 2021Modelling the nucleation, growth and agglomeration of alumina inclusions in molten steel by combining Kampmann–Wagner numerical model with particle size grouping methodcitations
- 2020Model for inclusion precipitation kinetics during solidification of steel applications in MnS and TiN inclusionscitations
- 2019Numerical Modeling of Open-Eye Formation and Mixing Time in Argon Stirred Industrial Ladlecitations
- 2018Desphosphorization in ironmaking and oxygen steelmaking
Places of action
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article
Modeling the precipitation of aluminum nitride inclusions during solidification of high‐aluminum steels
Abstract
<jats:p>High‐aluminum advanced high‐strength steels have received increasing interest due to their excellent combination of strength and ductility. The control of non‐metallic inclusions in steel is among the most important issues for the production of high‐aluminum steel. This study proposes a model for the evolution of size distributions of AlN inclusions during the solidification of steel based on the Kampmann‐Wagner numerical model. It also proposes microsegregation calculation. Both homogeneous (pure AlN) and heterogeneous precipitation (AlN+oxide or MnS) were described using the homogeneous nucleation and free growth models of Greer et al. respectively. The present model was applied to calculate the size distributions of AlN in high‐Al (up to 5%) Fe‐Cr‐Al steels and high‐ and medium‐manganese steels and validated by the experimental data in the literature. The model correctly described the influence of cooling rates on the precipitation of AlN in Fe‐Cr‐Al steels and high‐manganese steels, and the sizes of AlN are reduced and the number densities of AlN inclusions are increased by increasing the cooling rate. The effects of nitrogen and aluminum concentration in medium‐manganese steel on inclusion precipitation were investigated by the model calculation. The increases in nitrogen and aluminum concentration facilitate the homogeneous precipitation of AlN inclusions.</jats:p><jats:p>This article is protected by copyright. All rights reserved.</jats:p>