TY - GEN
T1 - Gray-box model to control molten steel temperature in Tundish
AU - Sakashita, S.
AU - Okura, T.
AU - Ahmad, I.
AU - Kano, M.
AU - Kitada, H.
AU - Murata, N.
N1 - Funding Information:
This research was supported by grants from the Professor June Lascelles Fund and the University of California at Los Angeles Jonsson Comprehensive Cancer Center. Confocal laser scanning microscopy was performed at the California NanoSystems Institute (CNSI) Advanced Light Microscopy/Spectroscopy Shared Resource Facility at University of California at Los Angeles.
PY - 2012
Y1 - 2012
N2 - Controlling molten steel temperature in a tundish is crucial for stable and efficient production of steel products. In this research, a gray-box model is developed by combining a first-principle model and a statistical model. The first-principle model predicts the molten steel temperature in the tundish, and the statistical model predicts the prediction error of the first-principle model. The derived model was then used to derive the molten steel temperature in the Ruhrstahl-Heraeus process at the end of its operation from the target molten steel temperature in the tundish and other process variables. The result of applying the proposed model to real operation data has demonstrated its practicability.
AB - Controlling molten steel temperature in a tundish is crucial for stable and efficient production of steel products. In this research, a gray-box model is developed by combining a first-principle model and a statistical model. The first-principle model predicts the molten steel temperature in the tundish, and the statistical model predicts the prediction error of the first-principle model. The derived model was then used to derive the molten steel temperature in the Ruhrstahl-Heraeus process at the end of its operation from the target molten steel temperature in the tundish and other process variables. The result of applying the proposed model to real operation data has demonstrated its practicability.
KW - Control
KW - Gray-box model
KW - Molten steel temperature
KW - Prediction
KW - Steel making process
UR - http://www.scopus.com/inward/record.url?scp=84881017548&partnerID=8YFLogxK
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U2 - 10.3182/20120910-3-JP-4023.00036
DO - 10.3182/20120910-3-JP-4023.00036
M3 - Conference contribution
AN - SCOPUS:84881017548
SN - 9783902823120
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 268
EP - 269
BT - 2012 IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012
PB - IFAC Secretariat
T2 - 2012 IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012
Y2 - 10 September 2012 through 12 September 2012
ER -