Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-014-1589-x.pdf
Reference29 articles.
1. Cyril NS, Fatemi A (2009) Experimental evaluation and modeling of sulfur content and anisotropy of sulfide inclusions on fatigue behavior of steels. Int J Fatigue 31(3):526–537
2. Richardson FD (1974) Physical chemistry of melts in metallurgy. Academic Press, London
3. Andersson M, Hallberg M, Jonsson L, Jonsson P (2002) Slag–metal reactions during ladle treatment with focus on desulphurisation. Ironmak Steelmak 29(3):224–232
4. Hallberg M, Jonsson TLI, Jonsson PG (2004) A new approach to using modelling for on-line prediction of sulphur and hydrogen removal during ladle refining. ISIJ Int 44(8):1318–1327
5. Jonsson PG, Jonsson LTI (2001) The use of fundamental process models in studying ladle refining operations. ISIJ Int 41(11):1289–1302
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