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HomeKey Engineering MaterialsKey Engineering Materials Vols. 264-268Prediction of the Slag Corrosion of MgO-C Ladle...

Prediction of the Slag Corrosion of MgO-C Ladle Refractories by the Use of Artificial Neural Networks

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Euro Ceramics VIII

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Periodical:

Key Engineering Materials (Volumes 264-268)

Pages:

1727-1730

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.264-268.1727

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Online since:

May 2004

Authors:

S. Akkurt

Keywords:

Artificial Neural Network (ANN), Corrosion, MgO-C Refractory, Model, Prediction

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© 2004 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Zhang, N.J. Marriott and W.E. Lee: J. Eu. Cer. Soc. Vol. 21 (2001) 1037-1047.

[2] W.E. Lee and S. Zhang: Intl. Matls. Revs., Vol. 44.

[3] (1999), 77-104.

[3] S. Akkurt, Investigation of the corrosion of MgO-C ladle refractories via a laboratory slag test, PhD Dissertation, Clemson University, USA, August (1998).

[4] H.D. Leigh, Private communication, (2003).

[5] S. Akkurt and H.D. Leigh, in press, Am. Cer. Soc. Bull., Vol. 82, No: 5, May (2003).

[6] S. Akkurt, S. Ozdemir and G. Tayfur, Trans of IMM, Vol. 111, No: 3, C129-C134, (2003).

[7] T. Munakata, Fundamentals of the new AI: Beyond traditional paradigms, (Springer-Verlag, New York, 1998).

[8] S. Akkurt and H.D. Leigh, J. Can. Cer. Soc., Vol. 71, 9-18, Fall (2002).