Electric Arc Furnace Modeling with Artificial Neural Networks and Arc Length with Variable Voltage Gradient

Electric Arc Furnace Modeling with Artificial Neural Networks and Arc Length with Variable Voltage Gradient

Electric arc furnaces (EAFs) contribute to almost one third of the global steel production. Arc furnaces use a large amount of electrical energy to process scrap or reduced iron and are relevant to study because small improvements in their efficiency account for significant energy savings. Optimal c...

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Bibliographic Details
Main Authors: Raul Garcia-Segura, Javier Vázquez Castillo, Fernando Martell-Chavez, Omar Longoria-Gandara, Jaime Ortegón Aguilar
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Energies
Subjects:
arc length modeling
artificial neural networks (ANN)
electric arc furnace
EAF simulation
Online Access:https://www.mdpi.com/1996-1073/10/9/1424

Internet

https://www.mdpi.com/1996-1073/10/9/1424

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