Hybrid model associating thermodynamic calculations and artificial neural network in order to predict molten steel temperature evolution from blowing end of a BOF for secondary metallurgy
Abstract The developed model is an association of thermodynamic calculations for dissolution of alloys, slag formers and the deoxidation reaction in the molten steel with two artificial neural network (ANN) models trained with industrial data, to predict the molten steel temperature drop from the bl...
Main Authors: | Marcos Antônio Viana Júnior, Carlos Antônio Silva, Itavahn Alves Silva |
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Format: | Article |
Language: | English |
Published: |
Fundação Gorceix
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Series: | REM: International Engineering Journal |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000400587&lng=en&tlng=en |
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