Mathematical Models of Blast Furnace

Blast Furnace Dynamics Using Multiple Autoregressive Models with Exogenous Inputs

Autoregressive models with exogenous inputs are useful tools for analyzing systems with unknown dynamics, but are limited by the assumption that the relations between inputs and output(s) are linear. For complex systems with nonlinear or abruptly changing dynamics it is possible to modify the technique by allowing for multiple local models and designing a strategy for switching between them. A ...

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...

Methods of Mathematical Modeling for Evaluation of Energy Management of Blast-furnace Plant

M. Szega, W. Stanek Silesian University of Technology, Gliwice, Poland L. Blacha Silesian University of Technology, Katowice, Poland The reduction of energy consumption in the blast furnace is still the subject of investigations using mathematical modelling of a blast furnace plant. Theoretical-empirical hybrid models of a blast furnace and its equipment have been presented. This model is built...

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...