Abstract
The standard production route for mild steels for automotive purposes is still based on conventional continuous casting (CC) and hot strip rolling (HSR). The current trend towards the “zero-carbon car” will demand the abating of material emissions in the future. Thin slab casting and direct rolling (e.g., Arvedi endless strip production (ESP)) is an approach to reduce CO2 emissions by 50% compared to CC and HSR. One of the main limitations in applying ESP for the production of ultra-low carbon/interstitial free (ULC/IF) steels is clogging. Clogging is the blockage of the submerged entry nozzle due to the build-up of oxide layers or an oxide network. The high clogging sensitivity of IF steels results most probably from the FeTi addition, and hence, a general change of the deoxidation practice might be an option to overcome these problems. In the present work, the thorough refining process of ULC steel was simulated by addressing the different deoxidation routes and the influence of titanium (Ti) alloying on steel cleanness. The developed ladle furnace (LF) and the Ruhrstahl Heraeus (RH) refining models were applied to perform the simulation. Before the simulations, the models are briefly described and validated by the published industrial data.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 893 |
| Seitenumfang | 13 |
| Fachzeitschrift | Crystals |
| Jahrgang | 11.2021 |
| Ausgabenummer | 8 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 30 Juli 2021 |
Bibliographische Notiz
Funding Information:Funding: Financial support by the Austrian Federal Government (in particular from Bundesministerium für Verkehr, Innovation und Technologie and Bundesministerium für Wirtschaft, Familie und Jugend) represented by Österreichische Forschungsförderungsgesellschaft mbH and the Styrian and the Tyrolean Provincial Government, represented by Steirische Wirtschaftsförderungsgesellschaft mbH and Standortagentur Tirol, within the framework of the COMET Funding Programme is gratefully acknowledged. This work is part of the ongoing K2-MPPE project P3.36 “Advanced ESP.” Data Availability Statement: The data presented in this study are available on request from the corresponding author.
Funding Information:
Financial support by the Austrian Federal Government (in particular from Bundesministerium f?r Verkehr, Innovation und Technologie and Bundesministerium f?r Wirtschaft, Familie und Jugend) represented by ?sterreichische Forschungsf?rderungsgesellschaft mbH and the Styrian and the Tyrolean Provincial Government, represented by Steirische Wirtschaftsf?rderungsgesellschaft mbH and Standortagentur Tirol, within the framework of the COMET Funding Programme is gratefully acknowledged. This work is part of the ongoing K2- MPPE project P3.36 ?Advanced ESP.?.
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© 2021 by the authors. Licensee MDPI, Basel, Switzerland.