Prediction of Droplet Generation and Blowing Parameters Helps for Interface Reaction During BOS Processes

Jagdish Nayak, P. Prusty, P. Behera
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Abstract

Droplet generation phenomenon and its dependence on process parameters have been determined using a predictive numerical model, which predict droplet generation rate based on the blowing number. Evaluation of blowing number is performed depending on lance dynamics, oxygen flow rate and surface tension. The developed model considers surface tension as a function of oxygen, carbon and sulphur content of bath and bath temperature. Bath temperature is predicted using the enthalpy change of oxidation reactions and change of specific heat in each component present in the bath. Predicted end blow carbon concentration and bath temperature correspond well with the experimental values obtained from steel plant. The effect of lance angle and lance height on droplet generation is also taken in account. It has been found that the rate of droplet generation in melt increases with increases of blowing number (NB) and jet momentum onto the metal bath. Bath temperature is found to be more dominating factor for droplet generation process compared to lance height.
液滴生成和吹气参数的预测有助于BOS过程中的界面反应
采用预测数值模型,根据吹风次数预测液滴生成速率,确定了液滴生成现象及其对工艺参数的依赖关系。吹风次数的评估取决于喷枪动力学、氧气流速和表面张力。所建立的模型考虑了表面张力是镀液中氧、碳、硫含量和镀液温度的函数。利用氧化反应的焓变和浴液中各组分比热的变化来预测浴液温度。预测的终吹碳浓度和熔池温度与炼钢厂的实验值吻合较好。同时考虑了喷枪角度和喷枪高度对液滴产生的影响。研究发现,熔体中液滴的生成速率随着吹气次数和喷射动量的增加而增加。与喷枪高度相比,水浴温度对液滴生成过程的影响更大。
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