DBPapers
DOI: 10.5593/sgem2012/s03.v1037

NEURAL MODEL IDENTIFICATION OF METALLURGICAL PROCESS IN OXYGEN CONVERTER

AUTHOR/S: K. GHERFI, H. BENDJAMA, S. BOUHOUCHE, H. MERADI
Wednesday 1 August 2012 by Libadmin2012

References: 12th International Multidisciplinary Scientific GeoConference, www.sgem.org, SGEM2012 Conference Proceedings/ ISSN 1314-2704, June 17-23, 2012, Vol. 1, 683 - 690 pp

ABSTRACT

In the iron and steel industry domain, the adjustment of the percentage of the chemical
composition of the cast iron in the oxygen converter is essential to produce steel; this
operation is to carry out by an oxygen lance in the liquid cast iron without expenditure
of energy (fuel). The oxygen injected makes chemical reactions with the cast iron
elements, and according to the quantity of oxygen injected we can fix the percentage of
each chemical element in steel. It is sometimes extremely difficult to modeling the
variations of the chemical compositions with the dynamic nonlinear. In this work, the
identification of the nonlinear relations are studied by using the neural networks, the
real cases were adapted using data banks of the process, the results obtained are
presented and discussed.

Keywords: Modeling, neural networks, oxygen converter.