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Knowledge-based simulation and identification of various metallurgical reactors

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Abstract

A knowledge-based system (KBS) is discussed for the dynamic simulation and fault diagnosis of various metallurgical reactor systems. The fundamental basis (deep knowledge) of the model is a data base containing concentration-time data and an accompanying generalized kinetic model. The knowledge base is defined by various facts, objects, rules, and functions, which capture both deep as well as shallow knowledge regarding the process. This approach permits the simulation and fault diagnosis or identification of metallurgical reactors at all reactor conditions catered to by the knowledge base. Various examples, which include adsorption, leaching, and reduction (pyrometallurgical) reactions, illustrate the various facets of the proposed knowledgebased simulation (batch and continuous), process identification, and knowledge representation.

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Authors and Affiliations

  1. Institute for Non-Ferrous Process Metallurgy, Aachen University of Technology, 5100, Aachen, Federal Republic of Germany

    M. A. Reuter (Research Metallurgist)

  2. Department of Metallurgical Engineering, University of Stellenbosch, 7600, Stellenbosch, Republic of South Africa

    J. S. J. Van Deventer (Professor)

Authors
  1. M. A. Reuter
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  2. J. S. J. Van Deventer
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formerly Senior Lecturer, University of Stellenbosch

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Reuter, M.A., Van Deventer, J.S.J. Knowledge-based simulation and identification of various metallurgical reactors. Metall Trans B 22, 541–555 (1991). https://doi.org/10.1007/BF02654293

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  • DOI: https://doi.org/10.1007/BF02654293

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