Development of Slab Caster Break-Out Alarm ANN System

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Abstract:

In this paper the Slab Caster Break-out Alarm ANN System is introduced, which has been developed with artificial intelligence and logic technique, knowledge of continuous casting expert system. The characteristics of the Slab Caster Break-out Alarm ANN System is that the breakout predict of the system is achieved with the logic breakout prediction module and BP neural network breakout module; The predicting results of the two methods are inputted into the expert system decision module, this module can provide the last predicting results. This would increase the prediction accuracy, and improve the process of slab continuous casting.

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Periodical:

Advanced Materials Research (Volumes 415-417)

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321-324

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December 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] H.Preissl, T.Faster, Automatic quality control of cast slabs at the VOEST-ALPINE Steel works, Steelmaking Conference Proceedings, Pittsburgh, 78 (1995) 621-627.

Google Scholar

[2] I. F. Hears, S. G. Thorton, The application of mould thermal monitoring on the two-strand slab caster at Sidmar, Steelmaking Conference Proceedings, Pittsburgh, 77(1994) 390-398.

Google Scholar

[3] M. M. Collur, B. V. Patil and M. J. Korzi, Evaluation of the Mannesman Demag mold thermal monitoring system at the A-L's Brackenridge slab caster, Steelmaking Conference Proceedings, Pittsburgh, 83 (2000) 413-432.

Google Scholar

[4] J. Schwedmann, J. Wochnik, Instrumentation system, automation control and quality control for products of the continuous casting process, The second international conference on continuous casting of steel, Wuhan, 2(1995) 356-360.

Google Scholar

[5] P.Bellomo, G. Salvemini, E. S. Maria, Online detection of mold thermal transfer characteristics, Steelmaking Conference Proceedings, Pittsburgh, 77 (1994) 318-325.

Google Scholar

[6] W. H. Emling, S. Daoson, Mold instrumentation for breakout detection and control, Steelmaking Conference Proceedings, Pittsburgh, 77 (1991) 196-201.

Google Scholar

[7] S. Kumar, Development of intelligent mould for online detection of defects in steel billets, Ironmaking and Steelmaking, 26(1999) 268-273.

DOI: 10.1179/030192399677130

Google Scholar