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Application of Kinetic Model for Industrial Scale Ladle Refining Process

机译：动力学模型在工业规模钢包精炼过程中的应用

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This study aims to understand the kinetics of reactions during liquid steel refining. As background to the work presented here, a FactSage based macro model was developed that could predict chemical composition of steel, slag and inclusions with time once mass transfer coefficients and flotation rate constant were fitted using experimental data from laboratory scale induction furnace deoxidation experiments. In the present study, the applicability of this model is being tested on industrial scale for three things: kinetics of steel-slag reaction, inclusion flotation rate and to inclusion composition change. Steel and slag samples are taken at continuous intervals from the beginning of aluminum wire feeding in ladle. Chemical analysis of steel and slag samples provided the rate of steel-slag reactions, inclusion analysis of these samples provided the flotation rate of inclusions. Subsequently, the model can predict steel, slag and inclusion composition.
机译：本研究旨在了解液钢精炼期间反应动力学。 作为此处提供的工作的背景，开发了一种基于事实的宏模型，其可以预测钢，渣和夹杂物的化学成分，一旦使用实验室测量炉脱氧实验的实验数据拟合了传质数据。 在本研究中，在工业规模上进行三件事的适用性进行测试：钢 - 渣反应的动力学，包容浮选率和包涵体组成变化。 钢和渣样品从钢包装中的铝线送料的开头以连续间隔拍摄。 钢和渣样品的化学分析提供了钢渣反应的速率，包括这些样品的夹杂物分析提供了夹杂物含量。 随后，该模型可以预测钢，炉渣和包涵组合物。

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