Application of AI to blast furnace operation.

Application of Large Scale Database-based Online Modelling on Blast Furnace Operation

A practical method of JIT modelling for a blast furnace process data whose characteristics are very complicated physical phenomena and stiff nonlinear process are studied. The proposed method is composed of severely selecting process data variables by stepwise method and searching the past similar data in quantized topological space constructed by the selected variables. The effectiveness of th...

Ground Granulated Blast Furnace Slag

1. Ground Granulated Blast Furnace Slag Ground Granulated Blast Furnace Slag (GGBFS) is a by product of the steel industry. Blast furnace slag is defined as “the non-metallic product consisting essentially of calcium silicates and other bases that is developed in a molten condition simultaneously with iron in a blast furnace.” [1] In the production of iron, blast furnaces are loaded with iron o...

Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System

The solution of least squares support vector machines LS-SVMs is characterized by a specific linear system, that is, a saddle point system. Approaches for its numerical solutions such as conjugate methods Sykens and Vandewalle 1999 and null space methods Chu et al. 2005 have been proposed. To speed up the solution of LS-SVM, this paper employs the minimal residual MINRES method to solve the abo...

Ann Based Prediction of Blast Furnace Parameters

The Study of Ion Adsorption by Amorphous Blast Furnace Slag

In this study, the blast furnace slag was used as absorbing bed and then, its ionic adsorption was studied. For this reason, various experimental parameters such as pH, contact time and the primary ion concentration were investigated. The remaining concentrations of ions such as; Mn2+ and Fe2+ in water were measured by atomic adsorption spectroscopy. The chemical and p...