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The intelligent supervisory control of submerged-arc furnaces

  • Modeling and Process Control
  • Applied Technology
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Abstract

This article discusses the intelligent supervisory control of submerged-arc furnaces. Various aspects of such a system are illustrated, relating the metallurgical and electrical parameters to the control loops of the furnace.

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References

  1. M.A. Reuter, “Hybrid Neural Net Modeling in Metallurgy,” Metallurgical Processes for the Year 2000 and Beyond, ed. H.Y. Sohn (Warrendale, PA: TMS, 1994), pp. 907–927.

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  4. I.J. Barker et al., “The Interaction Effect in Submerged-Arc Furnaces,” Proceedings of the 49th Electric Furnace (Warrendale, PA: ISS, 1992), pp. 305–310.

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  5. A.L. Hoolman et al., “PC Based Control Technology in the Ferro-AIloy Industry,” to be presented at the 54th Electric Arc Furnace Conference, 1996.

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  6. M.A. Reuter et al., “The Use of Dimensionless Numbers to Characterize the Feed to Metallurgical Reactors,” accepted for publication in Minerals Engineering (1996).

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Authors and Affiliations

  1. Delft University of Technology, Netherlands

    Markus A. Reuter Dr.Habit. (professor, member of TMS)

  2. Mintek, Netherlands

    Carla Pretorius M.B.A. (business coordinator), Chloë West B.Eng. (engineer), Peter Dixon Ph.D. (senior scientist) & Morné Oosthuizen B.Eng. (marketing consultant)

Authors
  1. Markus A. Reuter Dr.Habit.
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  2. Carla Pretorius M.B.A.
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  3. Chloë West B.Eng.
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  4. Peter Dixon Ph.D.
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  5. Morné Oosthuizen B.Eng.
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Reuter, M.A., Pretorius, C., West, C. et al. The intelligent supervisory control of submerged-arc furnaces. JOM 48, 49–51 (1996). https://doi.org/10.1007/BF03223269

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  • DOI: https://doi.org/10.1007/BF03223269

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