The Analysis of the Influence of Input Parameters on the Accuracy of Temperature Model in the Steelmaking Process

Abstract

The steel production process in the converter is one of the important processes within the metallurgical technological chain. The most important quality parameters of this process are the chemical composition of the steel and the temperature of the steel, which is important in terms of further processing of the steel. In addition to the steelmaking process itself, the steel temperature is also affected by input parameters such as, e.g., temperature, weight, and the composition of pig iron, weight, the composition of steel scrap, amount of blown oxygen, etc. This paper analyses the effect of these parameters on steel temperature using a simulation model. The simulation model calculates the temperature of the melt during the steelmaking process, which increases through the heat released from the exothermic reactions of blown oxygen with metal impurities. This model was created by a deterministic approach and also includes the so-called heat losses, defined as other heat losses that cannot be unambiguously determined. The aim of the research was to increase the accuracy of the model by determining these heat losses.