Abstract
An advanced, predictive technique has been developed using principal component analysis (PCA) together with computational fluid dynamics (CFD) modeling to provide real-time monitoring and assessment of the performance and integrity of a water-cooled tapblock in a smelting furnace. A CFD model of a tapblock was built to simulate its thermal response to metal tapping for a range of furnace operating conditions and to assess the impact of process variations that are detrimental to furnace integrity. This information was then used to develop a PCA model that identifies modes of acceptable and unacceptable tapping operation based on the realtime analysis of the temperature measurements coming from the tapblock. The PCA model, when implemented into the control system, enables operators to monitor and diagnose the performance and integrity of the tapblock.
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References
K.M. Donaldson et al., “Design of Refractories and Bindings for Modern High-Productivity Pyrometallurgical Furnaces” (Paper presented at 1992 31st Conference of Metallurgists of the Metallurgical Society of CIM, Edmonton, Canada, 23–27 August 1992).
N. Voermann et al., “Furnace Cooling Design for Modern, High-Intensity Pyrometallurgical Processes” (Paper presented at the Copper 99-Cobre 99 International Conference, Phoenix, Arizona, October 1999).
T. Ma et al., “Recent Developments in DC Furnace Design” (Paper presented at the International Symposium on Challenges in Process Intensification, Montreal, Canada, August 1996).
P. Wesseling, Principles of Computational Fluid Dynamics (New York: Springer-Verlag, 2000).
S.V. Patankar, Numerical Heat Transfer and Fluid Flow (New York: Hemisphere Publishing, 1980).
J.H. Ferziger and M. Peric, Computational Methods for Fluid Dynamics, 2nd ed. (New York: Springer, 1999).
L. Eriksson et al., Multi and Megavariate Data Analysis: Principles and Applications (Umeå, Sweden: Umetrics, 2001).
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For more information, contact T. Plikas, Hatch Associates Ltd., Non-ferrous Technology Department, 2800 Speakman Drive, Sheridan Science & Technology Park, Mississauga, Ontario, Canada L5K 2R7; e-mail tplikas@hatch.ca.
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Plikas, T., Gunnewiek, L., Gerritsen, T. et al. The predictive control of furnace tapblock operation using CFD and PCA modeling. JOM 57, 37–43 (2005). https://doi.org/10.1007/s11837-005-0149-3
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DOI: https://doi.org/10.1007/s11837-005-0149-3