Procedure for Numerical Optimization of Blast-Furnace Charging Parameters Using a Mathematical Three-Factor Model

Abstract

The reduction in the specific consumption of deoxidizers in a furnace is due to the effective use of the reducing energy of the gas flow. The efficiency of the reduction processes can be increased by optimizing the BF charging parameters. A numerical procedure for BF charging optimization is developed using a mathematical three-factor model based on the performance analysis of blast-furnace smelting. The optimization procedure based on regression and correlation analysis makes it possible to determine the optimal charging parameters: the number of direct feeds, feed weight, stockline. This decreases the degree of direct reduction of iron. The optimal charging parameters allow formulating recommendations on the intensification of the reduction processes and improving the smelting process as a whole.