Abstract
A constant aspiration to optimize electric arc steelmaking process causes an increase of the use of advanced analytical methods for the process support. The goal of the paper is to present the way to predict temperature of melted steel in the electric arc furnace and consequently, to reduce the number of temperature measurements during the process. Reducing the number of temperature measurements shortens the time of the whole process and allows increasing production. © 2010 Springer-Verlag.
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CITATION STYLE
Blachnik, M., Ma̧czka, K., & Wieczorek, T. (2010). A model for temperature prediction of melted steel in the electric arc furnace (EAF). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6114 LNAI, pp. 371–378). https://doi.org/10.1007/978-3-642-13232-2_45
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