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Over the decades use of Electric Arc Furnaces (EAF) in steel production has grown dramatically.
However, EAF operation involves relatively low level of automation and multivariable interactions and
subtle relationships that may be easily overlooked. Detailed process knowledge, in the form of a
model, makes it possible to take advantage of more complex relationships to provide information such
as finding the optimal balance and timing of the energy contributions from chemical and electrical
sources. The proposed project focuses on two aspects of the steel production process with EAF at
ArcelorMittal to improve the quality of steel and minimize production costs. The first proposed task is
to develop an optimized slag model for an EAF to reduce energy utilization, alloy consumption and
maximize yield. The second task is developing a caster model that (1) calculates the optimum
parameters to cast quality, (2) predicts liquid steel temperature from upstream parameters, (3) calculates billet core temperature to define maximum casting speed. The…………………………………………………
Vince Thomson
ArcelorMittal (Longueuil, QC)
Engineering
Manufacturing; Mining
McGill University
Accelerate
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