ESTIMACIÓN DEL CONTENIDO EN AZUFRE EN EL HORNO DE ARCO ELÉCTRICO

Abstract

This work presents the use of techniques and data mining tools for the modelling of the chemical composition of molten steel at the beginning steps of production, in order to take over the electric arc furnace (EAF) process. More specifically, the goal of this work is to model the sulfur content of next heats according to their scrap composition and other operating rules. Unfortunately there are different disturbing factors, such as very noisy environment with high degree of uncertainty for initial composition of scrap type and chemical composition of each type of scrap.