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Flow Characterization and Inclusions Removal in a Slab Tundish Equipped with Bottom Argon Gas Feeding

机译:流动表征和夹杂物在配备有底部氩气馈送的板坯中取出

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The fluid dynamics of a straight tundish was studied when Ar-gas was fed through the bottom, using mathematical simulation. Flow rates of 15 and 40 liters/min of argon in three locations into the tundish - near input steel, center, and near output steel - were analyzed. A stochastic model was employed for determining statistically the particle amount (emulating alumina particles) in the inclusions removal. From these calculations and those of the Residence Time Distribution (RTD) curves, we found a direct relationship to improve steel quality. Specifically, removal of the smaller nonmetallic inclusions was significantly enhanced for cases with the lowest dead volume fraction; they correspond to those of the highest averaged residence time. Therefore, it was found that it is even possible to reduce argon consumption and still obtain good results of steel cleanness.
机译:使用数学仿真,通过底部进料时,研究了直包的流体动力学。 分析了三个地点15至40升/米的流量/氩气 - 附近输入钢,中心和近输出钢 - 分析。 采用随机模型来确定统计上的颗粒量(模拟氧化铝颗粒)去除。 从这些计算和停留时间分布(RTD)曲线的计算,我们发现了一种直接的关系,以提高钢材质量。 具体地,对于最低死体馏分的情况,去除较小的非金属夹杂物; 它们对应于最高平均停留时间的那些。 因此,发现甚至可以降低氩消耗,并且仍然可以获得钢制清洁的良好结果。

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