<p>In the current study, the established thermodynamic model coupled the multicomponent mixed transport control theory and the local equilibrium theory within a single time step, considering real-time updates of the density, mold flux viscosity, mass transfer coefficients, and bulk layer thickness. The model assumed the presence of a transition layer on the mold flux side to better align with the mass transfer behavior. There was a good correlation between the predicted and experimental results. The influence of the parameters used in the model on the prediction results was thoroughly assessed. It was indicated that the concentration distribution coefficient and the thickness of the steel reaction layer had little effect on prediction results. The evolution of the weight, viscosity, density, and bulk layer thickness during the steel–flux reaction process was tracked. The analysis of the mass transfer behavior throughout the reaction indicated that the Al mass transfer was insufficient to solely control the steel–flux reaction rate. It was difficult and unrealistic to systematically evaluate the influence of the initial composition on the reaction through laboratory experiments. Hence, the current model was employed to predict the composition evolution during the reaction at 1550 °C under various initial Al content, Si content, CaO/Al<sub>2</sub>O<sub>3</sub> ratio, CaO/SiO<sub>2</sub> ratio, Al<sub>2</sub>O<sub>3</sub>/SiO<sub>2</sub> ratio, and SiO<sub>2</sub>/Na<sub>2</sub>O ratio. It was noteworthy that the Al–Na<sub>2</sub>O reaction barely occurred when the SiO<sub>2</sub>/Na<sub>2</sub>O ratio surpassed 6.33.</p>

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Investigation of the Reaction Between High-Aluminum Steel and Mold Flux Using the Multicomponent Mixed Transport Control Kinetic Model

  • Rongzhen Mo,
  • Ying Ren,
  • Lifeng Zhang

摘要

In the current study, the established thermodynamic model coupled the multicomponent mixed transport control theory and the local equilibrium theory within a single time step, considering real-time updates of the density, mold flux viscosity, mass transfer coefficients, and bulk layer thickness. The model assumed the presence of a transition layer on the mold flux side to better align with the mass transfer behavior. There was a good correlation between the predicted and experimental results. The influence of the parameters used in the model on the prediction results was thoroughly assessed. It was indicated that the concentration distribution coefficient and the thickness of the steel reaction layer had little effect on prediction results. The evolution of the weight, viscosity, density, and bulk layer thickness during the steel–flux reaction process was tracked. The analysis of the mass transfer behavior throughout the reaction indicated that the Al mass transfer was insufficient to solely control the steel–flux reaction rate. It was difficult and unrealistic to systematically evaluate the influence of the initial composition on the reaction through laboratory experiments. Hence, the current model was employed to predict the composition evolution during the reaction at 1550 °C under various initial Al content, Si content, CaO/Al2O3 ratio, CaO/SiO2 ratio, Al2O3/SiO2 ratio, and SiO2/Na2O ratio. It was noteworthy that the Al–Na2O reaction barely occurred when the SiO2/Na2O ratio surpassed 6.33.