Application of shallow neural networks in electric arc furnace modelling

2021 ◽  
Author(s):  
Maciej Klimas ◽  
Dariusz Grabowski
Keyword(s):  
Neural Networks ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace

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

Energies ◽  
2017 ◽  
Vol 10 (9) ◽  
pp. 1424 ◽  
Author(s):  
Raul Garcia-Segura ◽  
Javier Vázquez Castillo ◽  
Fernando Martell-Chavez ◽  
Omar Longoria-Gandara ◽  
Jaime Ortegón Aguilar
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Voltage Gradient ◽  
Arc Furnace ◽  
Arc Length ◽  
Variable Voltage ◽  
Artificial Neural

Modelling of electrical energy consumption in an electric arc furnace using artificial neural networks

Energy ◽  
2016 ◽  
Vol 108 ◽  
pp. 132-139 ◽  
Author(s):  
Dragoljub Gajic ◽  
Ivana Savic-Gajic ◽  
Ivan Savic ◽  
Olga Georgieva ◽  
Stefano Di Gennaro
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Energy Consumption ◽  
Electrical Energy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Electrical Energy Consumption ◽  
Artificial Neural

Online estimation of electric arc furnace tap temperature by using fuzzy neural networks

2008 ◽  
Vol 21 (7) ◽  
pp. 1001-1012 ◽  
Author(s):  
José Manuel Mesa Fernández ◽  
Valeriano Álvarez Cabal ◽  
Vicente Rodríguez Montequin ◽  
Joaquín Villanueva Balsera
Keyword(s):  
Neural Networks ◽  
Electric Arc Furnace ◽  
Fuzzy Neural Networks ◽  
Electric Arc ◽  
Arc Furnace ◽  
Online Estimation ◽  
Fuzzy Neural

Analytical Electron Microscopy Characterization of Electric Arc Furnace Dust

1981 ◽  
Vol 39 ◽  
pp. 134-135
Author(s):  
J. R. Porter ◽  
J. I. Goldstein ◽  
D. B. Williams
Keyword(s):  
Electron Microscopy ◽  
Analytical Electron Microscopy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Dust Particles ◽  
Particle Analysis ◽  
Arc Furnace ◽  
Analytical Electron ◽  
Residual Elements ◽  
Industry Practice

Alloy scrap metal is increasingly being used in electric arc furnace (EAF) steelmaking and the alloying elements are also found in the resulting dust. A comprehensive characterization program of EAF dust has been undertaken in collaboration with the steel industry and AISI. Samples have been collected from the furnaces of 28 steel companies representing the broad spectrum of industry practice. The program aims to develop an understanding of the mechanisms of formation so that procedures to recover residual elements or recycle the dust can be established. The multi-phase, multi-component dust particles are amenable to individual particle analysis using modern analytical electron microscopy (AEM) methods.Particles are ultrasonically dispersed and subsequently supported on carbon coated formvar films on berylium grids for microscopy. The specimens require careful treatment to prevent agglomeration during preparation which occurs as a result of the combined effects of the fine particle size and particle magnetism. A number of approaches to inhibit agglomeration are currently being evaluated including dispersal in easily sublimable organic solids and size fractioning by centrifugation.

Monitoring the environmental and energy impacts of electric arc furnace steelmaking

2016 ◽  
Vol 104 (1) ◽  
pp. 102 ◽  
Author(s):  
Valentina Colla ◽  
Filippo Cirilli ◽  
Bernd Kleimt ◽  
Inigo Unamuno ◽  
Silvia Tosato ◽  
...  
Keyword(s):  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace
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