Abstract
Desulfurization of molten iron is one of the stages of steel production process. A back-propagation (BP) artificial neural network (ANN) model is developed to predict the operation parameters for desulfurization process in this paper. The primary objective of the BP neural network predictor model is to assign the operation parameters on the basis of intelligent algorithm instead of the experience of operators. This paper presents a mathematical model and development methodology for predicting the three main operation parameters and optimizing the consumption of desulfurizer. Furthermore, a software package is developed based on this BP ANN predictor model. Finally, the feasibility of using neural networks to model the complex relationship between the parameters is been investigated.
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Yugov, P.I., Romberg, A.L.: Improving the quality of pig iron and steel. Metallurgist 47, 62–65 (2003)
Yugov, P.I., Romberg, A.L., Yang, D.: Desulfurization of pig iron and steel. Metallurgist 44, 11–12 (2000)
Haque, M.E., Sudhakar, K.V.: ANN back-propagation prediction model for fracture toughness in microalloy steel. Int. J. Fatigue 24, 1003–1010 (2002)
Haque, M.E., Sudhakar, K.V.: ANN based prediction model for fatigue crack growth in DP steel. Int. J. Fatigue Fract. Eng. Mater Struct. 24(1), 63–68 (2001)
Wu, M., Nakano, M., She, J.: A model-based expert control strategy using neural network for the coal blending process in an iron and steel plant. Expert system with applications 16, 181–271 (1999)
Schlanga, M., Langb, B., Poppeb, T., Runklerb, T., Weinzierlc, K.: Current and future development in neural computation in steel processing. Control engineering practice 9, 975–986 (2001)
Dyudkin, D.A., Grinberg, S.E., Marintsev, S.N.: Mechanism of the desulfurization of pig iron by granulated magnesium. Metallurgist 45 (2001)
Rumelhart, D., Hinton, G., Williams, R.: Parallel distributed processing. MIT Press, Cambridge, MA (1986)
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© 2005 Springer-Verlag Berlin Heidelberg
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Rong, Z., Dan, B., Yi, J. (2005). A BP Neural Network Predictor Model for Desulfurizing Molten Iron. In: Li, X., Wang, S., Dong, Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science(), vol 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_86
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DOI: https://doi.org/10.1007/11527503_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27894-8
Online ISBN: 978-3-540-31877-4
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