| 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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Thiele, Kathrin
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 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
- 2023Optimization of the Two- and Three-DimensionalCharacterization of Rare Earth-Traced Deoxidation Productscitations
- 2023Comparison of tracing deoxidation products with rare earth elements in the industry and on a laboratory scale
- 2023The Behavior of Phosphorus in the Hydrogen-Based Direct Reduction—Smelter Ironmaking Routecitations
- 2022Different Approaches to Trace the Source of Non-Metallic Inclusions in Steelcitations
- 2022Classification of non-metallic inclusions in steel by data-driven machine learning methodscitations
- 2022Evaluation of different alloying concepts to trace non-metallic inclusions by adding rare earths on a laboratory scalecitations
- 2022Application of ICP-MS to study the evolution of non-metallic inclusions in steelmaking
Places of action
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article
Optimization of the Two- and Three-DimensionalCharacterization of Rare Earth-Traced Deoxidation Products
Abstract
Tracing by means of the light rare earths (REs), particularly La and Ce, is a state-of-the-art method used to track deoxidation products during the steelmaking process. Traced heterogeneous multiphase inclusions are analyzed using scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) to perform a 2D characterization. The sequential chemical extraction technique is implemented for a 3D investigation to determine traced particles’ actual sizes and shapes. The automated SEM/EDS measurement must be optimized since RE oxides appear brighter in the backscattered electron images due to their high atomic numbers. Therefore, two grayscales are implemented for the detection of RE-containing multiphase inclusions. Within this technique, individual RE-traced heterogeneous nonmetallic inclusions (NMIs) are counted as separate particles. Thus, the measured NMIs must be recombined, which is achieved using a self-developed MATLAB tool. The extracted particles are also analyzed by automated and manual SEM/EDS measurements to determine the 3D morphologies and sizes of traced NMIs.