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ColHySE: An advanced column hydrodynamic-based model for solvent extraction
Chemical Engineering Research and Design ( IF 3.7 ) Pub Date : 2022-01-17 , DOI: 10.1016/j.cherd.2022.01.016
Sophie Charton 1 , Simone Castellano 1, 2 , Samer Alzyod 1 , Nida Sheibat-Othman 2
Affiliation  

An original one dimensional population balance model (PBM)-based model of liquid–liquid extraction columns is reported. Compared to existing simulators, ColHySE implements a more realistic description of the flow patterns in the contactor, and predicts its effect on the local droplet–droplet interactions (i.e. breakage and coalescence rates). Proper turbulent properties, extracted from single-phase flow CFD simulations, are used in the source terms of the PBM to evaluate locally the inhomogeneous breakage and coalescence rates, using the averaged Coulaloglou and Tavlarides kernels (Castellano et al., 2018). The sensitivity of the predicted droplets mean diameter, d32, and the holdup, φ, to the parameters of the used empirical and phenomenological models, on the one hand, and to the operating conditions of the column, on the other hand, was studied. Although some model parts must be refined, and an experimental validation remains necessary, the results confirm that the 1D-PBM methodology used in ColHySE is relevant for predicting the interfacial area in the pulsed column as a function of the operating conditions and geometry, hence highlighting its relevance to study the hydrodynamic stability and tendency to flooding. The sensitivity analysis has moreover highlighted the needs for an improved slip velocity model.



中文翻译:

ColHySE:一种先进的基于柱流体动力学的溶剂萃取模型

报告了一种基于原始一维总体平衡模型 (PBM) 的液-液萃取柱模型。与现有的模拟器相比,ColHySE对接触器中的流动模式进行了更真实的描述,并预测了其对局部液滴-液滴相互作用(破裂和聚结率)的影响。从单相流 CFD 模拟中提取的适当湍流特性用于 PBM 的源项中,使用平均Coulaloglou 和 Tavlarides 内核(Castellano 等人,2018 年)来局部评估不均匀的破损和聚结率。预测液滴平均直径d 32和滞留率φ 的灵敏度,一方面研究了所使用的经验和现象学模型的参数,另一方面研究了塔的操作条件。尽管必须改进某些模型部件,并且仍然需要进行实验验证,但结果证实 ColHySE 中使用的 1D-PBM 方法对于预测脉冲柱中的界面面积作为操作条件和几何形状的函数是相关的,因此突出显示它与研究水动力稳定性和洪水趋势的相关性。此外,敏感性分析强调了对改进滑移速度模型的需求。

更新日期:2022-01-30
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