Machine Learning Approach for Accurate Slag Eye Predictions in Steelmaking Ladles
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4557-9_5
Reference11 articles.
1. Chatterjee, S., Chattopadhyay, K.: Physical modeling of slag ‘eye’ in an inert gas-shrouded Tundish using dimensional analysis. Metall. Mater. Trans. B 47(1), 508–521 (2016)
2. Liu, Y., Ersson, M., Liu, H., Jonsson, P.G., Gan, Y.: A review of physical and numerical approaches for the study of gas stirring in ladle metallurgy. Metall. Mater. Trans. B 50, 555–577 (2019)
3. Castillejos, A.H., Brimacombe, J.K.: Measurement of physical characteristics of bubbles in gas-liquid plumes: Part II. Local properties of turbulent air-water plumes in vertically injected jets. Metall. Trans. B 18, 659–671 (1987)
4. Peranandhanthan, M., Mazumdar, D.: Modeling of slag eye area in argon stirred ladles. ISIJ Int. 50(11), 1622–1631 (2010)
5. Mazumdar, D., Evans, J.W.: Modeling of Steelmaking Processes, 1st edn. CRC Press, Boca Raton FL USA (2010)
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