| 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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document
Electric steelmaking process monitoring with optical emission spectroscopy – An in-depth review
Abstract
<jats:title>Abstract</jats:title><jats:p>Electric steelmaking plays an important role in various scenarios for environmentally friendly steelmaking where the processes must be energetically and economically feasible. As electric furnaces’ capacities and low-grade recycled material usage can be expected to increase, optimizing the process practices and flexibility becomes paramount. The high-temperature environment of electric steelmaking sets several criteria for the implemented tools, where the equipment must withstand extreme conditions, have a low maintenance need and cost, and have the capability of real-time data acquisition and analysis. Optical emission spectroscopy (OES) has been studied in laboratory furnaces and on pilot and industrial scales to provide an <jats:italic>in situ</jats:italic> method for electric arc furnace and ladle furnace process control. Since OES is a method that measures the properties of emitted light, the applications focus on the electric arc plasma, burners’ flames, and heat radiation from the molten bath. The optical spectra carry information on the composition, temperature, and status of the process. This in-depth review compiles the research and usage of OES as a process monitoring tool by focusing on electric arc plasma, burner flames, and molten bath radiation. Suggestions for further development of existing applications and potential new applications are discussed.</jats:p>