Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Modelling and Simulation of the Electric Arc Furnace Processes Linköping University Electronic Press Conference Proceedings
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Title:
Modelling and Simulation of the Electric Arc Furnace Processes
Author:
Vito Logar: Faculty of electrical engineering, University of Ljubljana, Slovenia
DOI:
10.3384/ecp171421
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
001
Pages:
1-7
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Market demands on steel quality, price and production times dictate an introduction of technological innovations regarding the electric arc furnace (EAF) steelmaking. A developing field with significant potential is related to the advanced software support of the EAF operation, combining monitoring and proper control of the EAF. Such systems include process models, capable of continuous estimation of the unmeasured process values, such as chemical compositions and temperatures of the steel, slag and gas. The paper briefly presents the features of all developed EAF models, which are used together with the measured EAF data to estimate the unmeasured process values. The models are mainly implemented using non-linear, time-variant ordinary differential equations. The parameterization of the models was performed using the available EAF data, such as temperatures, steel and slag compositions, melting programs etc. The validation results that were performed using measured EAF data indicate high levels of estimation accuracy of all crucial steel-recycling values and processes. The accuracy of the presented models is in the range of +/- 15 K for steel temperature and +/-10 % for steel composition. Thus, accuracy of the models allows them to be used in broader software environments, such as soft sensors for process monitoring, optimization and operator decision support.

Keywords: electric arc furnace, EAF, modelling, simulation, validation

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Vito Logar
Title:
Modelling and Simulation of the Electric Arc Furnace Processes
DOI:
http://dx.doi.org/10.3384/ecp171421
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Vito Logar
Title:
Modelling and Simulation of the Electric Arc Furnace Processes
DOI:
https://doi.org10.3384/ecp171421
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Last updated: 2019-10-02