Speaker
Description
The electric arc furnace (EAF), as one of the most critical equipment in the modern steelmaking process, has gained rapid prominence in the industry over the last decades due to its high efficiency and low emission. Generally, EAF utilizes electrical and chemical energy to achieve the purpose of scrap melting while the heat released by arc plasma is considered as the major input to melt scrap. In the present study, a computational fluid dynamics (CFD) model was developed to reveal the scrap melting behavior during the electrode bore-down phase, and the experimental data collected by NLMK were used to validate the model. The developed model includes the innovative algorithm to include both electrode movement and the dynamic prediction of arc radiation on scrap surface in the simulation, and the model was used to investigate the liquid steel permeability and the potential cause of the arc reflection, which can further improve the scrap melting efficiency during the furnace operation.