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An Innovative Modeling Approach for Predicting the Desulfurization Kinetics in an Argon-Stirred Ladle Furnace

机译:氩搅拌钢包炉中脱硫动力学预测的创新建模方法

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The ladle metallurgical furnace (LMF) is one of the most important secondary steel refining equipment to remove inclusions and produce clean low-sulfur steel. With the increasing demand for high desulfurization efficiency in the LMF process, it is very useful to predict the slag-steel interaction and the desulfurization behavior for providing assistance in the industrial process control. In this study, a modeling analysis tool for predicting the slag-metal reactions and desulfurization kinetics in gas-stirred ladles has been developed. The model consists of two uncoupled components: (i) a computation fluid dynamics (CFD) model for predicting fluid flow and slag-steel interface characteristics, and (ii) a multi-component reaction kinetics model for predicting desulfurization. The slag eye behavior, slag-steel interface area, and mass transfer rates in the LMF were simulated by the CFD model. The desulfurization kinetics were predicted using the CFD simulation results together with the thermodynamic calculations. This approach is validated in terms of the evolution of the sulfur content based on industrial data. As the model can considerably decrease the computational time and cost for the analysis of the sulfur evolution during the LMF processing, it would be a very useful tool for the steel industry for quick and accurate predictions of the sulfur evolution in the ladle refining process.
机译:钢包冶金炉(LMF)是最重要的二级钢精炼设备之一,用于去除夹杂物并生产干净的低硫钢。随着LMF工艺中对高脱硫效率的需求不断增长,预测炉渣与钢之间的相互作用和脱硫行为对于在工业过程控制中提供帮助非常有用。在这项研究中,已开发出一种模型分析工具,用于预测气体搅拌钢包中的渣金属反应和脱硫动力学。该模型由两个未耦合的组件组成:(i)用于预测流体流量和炉渣-钢界面特性的计算流体力学(CFD)模型,以及(ii)用于预测脱硫的多组分反应动力学模型。通过CFD模型模拟了LMF中的渣眼行为,渣-钢界面面积和传质速率。使用CFD模拟结果和热力学计算预测了脱硫动力学。根据工业数据,根据硫含量的演变,验证了该方法。由于该模型可以大大减少LMF加工过程中硫的析出的计算时间和成本,因此对于钢铁行业而言,对于在钢包精炼过程中快速准确地预测硫的析出将是非常有用的工具。

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