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首页> 外文期刊>Chemical Engineering Science >A mathematical modeling study of the influence of small amounts of KCl solution tracers on mixing in water and residence time distribution of tracers in a continuous flow reactor-metallurgical tundish
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A mathematical modeling study of the influence of small amounts of KCl solution tracers on mixing in water and residence time distribution of tracers in a continuous flow reactor-metallurgical tundish

机译：连续流动反应器-冶金中间包中少量KCl溶液示踪剂对水中混合和示踪剂停留时间分布的影响的数学模型研究

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In an earlier research (Chen et al., 2015a) a mathematical model was established to simulate tracer mixing (a KCl solution). The predicted Residence Time Distribution (RTD) curves showed good agreements with experimental RID curves for larger amounts of tracer additions. However, for smaller additions (50 mL) of a KCl solution into water, the predicted RID curves tended to deviate from the experimental RTD curves for a tundish (a continuous flow reactor). The current paper focuses on the possibilities that the predictability for smaller additions could be resolved by using a suitable turbulence model. The performance of five different turbulence models representing different modeling techniques and levels of complexity were tested in combination with using a density-coupled mixed composition fluid model to simulate the mixing, i.e. the following models: LVEL, Chen-Kim k-epsilon, MMK k-epsilon, Explicit Algebraic Reynolds Stress Model (EARSM), and Large Eddy Simulation (LES): Wall-Adapting Local Eddy-viscosity (WALE). The results indicate that models that tend to resolve turbulence structures renders better predictions of the mixing process of smaller tracer amounts. In addition, the influence of different tracer amounts on the flow in tundish was assessed. The simulation results for 75 mL, 100 mL, 150 mL, and 250 mL KCl tracer additions were compared. The results showed that in an upward flow the tracer will, sooner or later (dependent on the tracer amount), sink to the bottom. This is due to the higher density of the tracer compared to the density of water. From a physical modeling perspective, this issue is like the "butterfly effect". It is showed that for a slight increase of the amount of tracer, the flow field might be disturbed. This, in turn, will result in a shifted RTD curve. (C) 2015 Elsevier Ltd. All rights reserved.
机译：在较早的研究中（Chen等，2015a），建立了数学模型来模拟示踪剂混合（KCl溶液）。对于大量添加的示踪剂，预测的停留时间分布（RTD）曲线与实验RID曲线显示出良好的一致性。但是，对于向水中少量添加（50 mL）的KCl溶液，预测的RID曲线倾向于偏离中间包（连续流反应器）的实验RTD曲线。当前的论文集中在通过使用合适的湍流模型可以解决较小添加量的可预测性的可能性。结合使用密度耦合混合成分流体模型模拟混合，测试了代表不同建模技术和复杂程度的五个不同湍流模型的性能，即以下模型：LVEL，Chen-Kim k-epsilon，MMK k -ε，显式代数雷诺应力模型（EARSM）和大涡模拟（LES）：适应壁的局部涡粘性（WALE）。结果表明，倾向于解析湍流结构的模型可以更好地预测较小示踪剂的混合过程。此外，评估了不同示踪剂含量对中间包流量的影响。比较了添加75 mL，100 mL，150 mL和250 mL KCl示踪剂的模拟结果。结果表明，在向上流动的情况下，示踪剂迟早（取决于示踪剂的量）将沉入底部。这是由于示踪剂的密度高于水的密度。从物理建模的角度来看，此问题就像“蝴蝶效应”。结果表明，随着示踪剂量的少量增加，流场可能会受到干扰。反过来，这将导致RTD曲线偏移。 （C）2015 Elsevier Ltd.保留所有权利。

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