| 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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Michelic, Susanne
Montanuniversität Leoben
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024Investigating the Origin of Non-Metallic Inclusions in Ti-Stabilized ULC Steels Using Different Tracing Techniquescitations
- 2024The simple microsegregation model for steel considering MnS formation in the liquid and solid phasescitations
- 2024Influence of Tramp Elements on Surface Properties of Liquid Medium-Carbon Steelscitations
- 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
- 2023The impact of tramp elements on the wetting behavior of non-metallic inclusions in a medium-carbon steel
- 2023Optimization of the Two- and Three-DimensionalCharacterization of Rare Earth-Traced Deoxidation Productscitations
- 2023Comparison between image based and tabular data-based inclusion class categorization
- 2023Comparison of tracing deoxidation products with rare earth elements in the industry and on a laboratory scale
- 2022Different Approaches to Trace the Source of Non-Metallic Inclusions in Steelcitations
- 2022Dissolution of Al2O3, MgO●Al2O3, and SiO2 in alkali oxide containing secondary metallurgical slags
- 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
- 2022How to increase scrap recycling
- 2021Mathematical Modeling of the Early Stage of Clogging of the SEN During Continuous Casting of Ti-ULC Steelcitations
- 2021Influence of Slag Viscosity and Composition on the Inclusion Content in Steelcitations
- 2020Study on the Possible Error Due to Matrix Interaction in Automated SEM/EDS Analysis of Nonmetallic Inclusions in Steel by Thermodynamics, Kinetics and Electrolytic Extractioncitations
- 2020HT-LSCM as a Tool for Indirect Determination of Precipitates by Real-Time Grain Growth Observationscitations
- 2020Study on inclusion evolution through Si/Mn deoxidation in medium-carbon steelscitations
- 2019Study on the Influence of FeTi‐Addition on the Inclusion Population in Ti‐Stabilized ULC Steels and Its Consequences for SEN‐Cloggingcitations
- 2019The Role of FeTi Addition to Micro-inclusions in the Production of ULC Steel Grades via the RH Process Routecitations
- 2017Charakterisierung von azikularferritischen Phasenanteilen in HSLA- Stählen und deren Auswirkung auf die mechanischen Kennwerte bei Kleinstproben
- 2017Modeling Inclusion Formation during Solidification of Steelcitations
- 2016Study on Oxide Inclusion Dissolution in Secondary Steelmaking Slags using High Temperature Confocal Scanning Laser Microscopycitations
- 2016On the modelling of microsegregation in steels involving thermodynamic databases
- 2016Acicular Ferrite Formation and Its Influencing Factors-A Reviewcitations
Places of action
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document
Application of tracing techniques to determine the source of alumina inclusions in the clogging layer of Ti-stabilized ULC steels
Abstract
The formation mechanism behind nozzle clogging during continuous casting of Ti-stabilized ultra-low carbon (ULC) steels is not entirely clarified today. One of the main reasons for the clogging layer formation is the deposition of pre-existing deoxidation products and the possibility of re-oxidation of the steel at the steel/refractory interface. By applying tracing techniques, the source of interfering inclusions and the formation of the clogging layer during continuous casting can be studied in detail.<br/>In this work, two different approaches to identify the source behind the alumina inclusions observed in the clogged nozzle are applied. First, direct tracing by means of rare earth elements (REEs) was performed. For this technique, REEs are added to the liquid steel after deoxidation. Hence, pre-existing alumina inclusions are modified. The advantage of this technique is that REE-containing inclusions appear brighter than the steel matrix in backscattered electron images of scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) analysis. It is the state-of-the-art method to track the formation of deoxidation products over the process.The second concept that was examined in this work is REE fingerprint analysis. Up to now, this method has been mainly applied in the research field of food chemistry and geology. For REE fingerprint analysis, the pre-existing concentration of REEs for all essential auxiliaries in the production process – such as Al-granules or casting powders – are measured by inductively coupled plasma-mass spectrometry (ICP-MS) and normalized to a reference data set in order to make REE patterns easier to recognize. The resulting pattern is then compared to the detected pattern of the clogging layer and existing mesoscopic inclusions. Similarities in the REE patterns indicate materials that may have contributed to the formation of the clogging layer or inclusions.