Machine learning analysis of electric arc furnace process for the evaluation of energy efficiency parameters

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...  

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pp. 8030-8039 ◽  
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pp. 23-32 ◽  
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Johannes Gerhardt Bekker ◽  
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Author(s):  
S. Timoshenko ◽  
E. Nemtsev ◽  
M. Gubinski

Possibility of a wide choice of original charge and variation of oxidation potential in melting process makes the electric arc furnace (EAF) a general-purpose unit in foundries. Energy-intensive classical technology with insufficient specific power of the transformer, irregular operation with forced downtime predetermine a low energy efficiency of foundry class furnaces [1,2]. Flat and shallow bath of the EAF enhances the problem.


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