Use of computational thermodynamics software to determine the influence of CaO, FeO and SiO2 on hot metal dephosphorization efficiency

Journal of Materials Research and Technology

Felipe Costa Broseghini¹  José Roberto de Oliveira²  Eduardo Junca²  Caio Vaccari Silva²  Felipe Fardin Grillo³ 

[1] Corresponding author.;Federal Institute of Espírito Santo (IFES), Vitória, ES 29040-780, Brazil;Universidade do Extremo Sul Catarinense — UNESC, Brazil;

关键词: Hot metal;    Dephosphorization;    Computational thermodynamics;   

DOI  :  

来源: DOAJ

【 摘 要 】

The properties of the mixtures used in hot metal dephosphorization, such as solid and liquid fraction phases, CaO and FeO activity and viscosity, are determinant for the process efficiency. The influence of these properties on hot metal dephosphorization were studied for CaO–FeO–SiO2 mixtures. The experiments were carried out at 1400 °C, in MgO-C crucibles, where the mixtures were added to the hot metal. Metal samples were taken at different times to measure the variation of phosphorus (P) content over time. The initial mixtures and final slags properties were determined by computational thermodynamics software FactSage 7.2. A parameter named Dephosphorization Factor (FDeP), that measures the efficiency of the initial mixtures and final slag, in hot metal dephosphorization was used. It was found that the FDeP presents a high correlation (R2) with the dephosphorization efficiency and can be used to predict which slag will be the most efficient.

【 授权许可】

Unknown