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Comprehensive electric arc furnace model for simulation purposes and model-based control

Fathi, A ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1002/srin.201600083
  3. Publisher: Wiley-VCH Verlag , 2017
  4. Abstract:
  5. The paper presents a comprehensive electric arc furnace (EAF) model, developed for simulation and model-based control of the EAF processes. The model consists of three sub models, i.e., (i) arc model; (ii) chemical and slag model; and (iii) heat-transfer model. Arc model predicts the amount of energy dissipated from the arcs using arc currents and arc lengths; chemical and slag model calculates chemical energy and changes of elements/compounds, slag height and slag quality; while the heat-transfer model uses calculations of the other two models in order to establish a reference energy system (RES) for each zone in the EAF due to the variations in arc length, slag height, and bath height. The overall EAF model is based on fundamental thermodynamic and heat-transfer laws, reaction kinetics, and experimental equations. Governing equations describing the processes inside the EAF are of the first order. The validation of the model has shown that the model provides accurate estimation of the EAF process values, such as bath temperature as well as steel and slag compositions. The estimations made by the model are comparable to the measured EAF data, which allows the model to be used for comprehensive analysis of the EAF operation, process monitoring, establishing energy, and mass balance or model-based control of several process variables. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
  6. Keywords:
  7. EAF ; Modeling ; Reference energy system ; Electric arcs ; Electric furnace process ; Furnaces ; Heat transfer ; Models ; Process control ; Process monitoring ; Reaction kinetics ; Slags ; Chemical model ; Comprehensive analysis ; Experimental equation ; Experimental validations ; Heat transfer model ; Model based controls ; Reference energy ; Simulation and modeling ; Electric furnaces
  8. Source: Steel Research International ; Volume 88, Issue 3 , 2017 ; 16113683 (ISSN)
  9. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/srin.201600083