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Modeling of Droplet Generation in a Top Blowing Steelmaking Process

机译:顶部吹炼钢过程中液滴生成的建模

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摘要

Quantification of metal droplets ejected due to impinging gas jet on the surface of liquid metal is an important parameter for the understanding and for the modeling of the refining kinetics of reactions in slag-metal emulsion zone. In the present work, a numerical study has been carried out to critically examine the applicability of droplet generation rate correlation previously proposed by Subagyo et al. on the basis of dimensionless blowing number (N B). The blowing number was re-evaluated at the impingement point of jet with taking into account the temperature effect of change in density and velocity of the gas jet. The result obtained from the work shows that the modified blowing number N B,T at the furnace temperature of 1873 K (1600 °C) is approximately double in magnitude compared to N B calculated by Subagyo and co-workers. When N B,T has been employed to the Subagyo’s empirical correlation for droplet generation, a wide mismatch is observed between the experimental data obtained from cold model and hot model experiments. The reason for this large deviation has been investigated in the current study, and a theoretical approach to estimate the droplet generation rate has been proposed. The suitability of the proposed model has been tested by numerically calculating the amount of metals in slag. The study shows that the weight of metals in emulsion falls in the range of 0 to 21 wt pct of hot metal weight when droplet generation rate has been calculated at ambient furnace temperature of 1873 K (1600 °C).
机译:气体在液体金属表面上撞击时喷射的金属滴的定量分析是理解和模拟渣金属乳化区反应精炼动力学的重要参数。在目前的工作中,已经进行了数值研究,以严格检验由Subagyo等人先前提出的液滴产生速率相关性的适用性。基于无因次吹塑数(N B)。考虑到气体喷射密度和速度变化的温度效应,重新评估了喷射流的冲击点的吹气次数。从工作中获得的结果表明,与Subagyo及其同事计算出的N B相比,在1873 K(1600°C)的炉温下修正的鼓风数N B,T的大小大约是两倍。当将N B,T用于Subagyo的经验相关性以产生液滴时,从冷模型实验和热模型实验获得的实验数据之间会发现很大的不匹配。在当前的研究中已经研究了这种大偏差的原因,并且已经提出了估计液滴产生速率的理论方法。通过数值计算炉渣中金属的含量,测试了所提出模型的适用性。研究表明,当在炉内环境温度为1873 K(1600°C)下计算出液滴的产生速率时,乳液中金属的重量为铁水重量的0-21 wt%。

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