Based on a series of converter steelmaking dephosphorization industrial experiments, the present work uses response surface methodology (RSM) to investigate the interactive effects of four key parameters (temperature, slag basicity, P 2 O 5 content, and FeO content) on dephosphorization of hot metal. The effectiveness of the optimized slag composition is verified through high‐temperature hot metal dephosphorization laboratory experiments. The response surface quadratic model fitted on the basis of temperature, slag basicity, P 2 O 5 content, and FeO content can accurately predict the hot metal dephosphorization ratio ( η P ) and the phosphorus distribution ratio ( L P ) between slag and steel. At the center point of the parameter range, the factors affecting the dephosphorization efficiency of hot metal are ranked in descending order as follows: temperature > P 2 O 5 content > slag basicity > FeO content. The response surface shows that the interaction between temperature and slag basicity has the greatest influence on η P and L P . Laboratory high‐temperature experiments show that the average dephosphorization ratio of hot metal using RSM optimized design slag is 92.85%. The calculation results of FactSage software and the Ion‐Molecule Coexistence Theory (IMCT) thermodynamic model show that the slag compositions optimized by RSM have good phosphorus enrichment properties, which proves the feasibility of RSM design for slag compositions.
Sun et al. (Thu,) studied this question.
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