| 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
Numerical Modeling of Open-Eye Formation and Mixing Time in Argon Stirred Industrial Ladle
Abstract
<jats:p>In secondary metallurgy, argon gas stirring and alloying of elements are very important in determining the quality of steel. Argon gas is injected through the nozzle located at the bottom of the ladle into the molten steel bath; this gas breaks up into gas bubbles, rising upwards and breaking the slag layer at high gas flow rates, creating an open-eye. Alloy elements are added to the molten steel through the open-eye to attain the desired steel composition. In this work, experiments were conducted to investigate the effect of argon gas flow rate on the open-eye size and mixing time. An Eulerian volume of fluid (VOF) approach was employed to simulate the argon/steel/slag interface in the ladle, while a species transport model was used to calculate the mixing time of the nickel alloy. The simulation results showed that the time-averaged value of the open-eye area changed from 0.66 to 2.36 m2 when the flow rate of argon was varied from 100 to 500 NL/min. The mixing time (95% criterion) of tracer addition into the metal bath decreased from 139 s to 96 s, when the argon flow rate was increased from 100 to 500 NL/min. The model validation was verified by comparing with measured experimental results.</jats:p>