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Numerical Simulations of Gas-Liquid Flow Dynamics in Bubble Columns

机译:鼓泡塔内气液流动动力学的数值模拟

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摘要

There is great potential for using computational fluid dynamics (CFD) as a tool in scale-up and design of bubble columns. Full-scale experimentation in bubble columns is expensive and CFD is an alternative approach to study bubble column hydrodynamics. However, CFD can be computationally intensive as a predictive tool for a full three-dimensional geometry. In this paper, a 0.2 m diameter semi-batch bubble column is numerically simulated and the results are compared to experimental measurements performed by Rampure et al. [1]. The objectives are to examine and determine an appropriate set of numerical parameters and to determine if two-dimensional simulations are able to accurately predict observed bubble phenomena so that the computational cost can be reduced. A two-fluid Eulerian-Eulerian model is employed to represent each phase as interpenetrating continua and the conservation equations for mass and momentum for each phase are ensemble-averaged. Time-averaged gas holdup is mainly examined due to its significant role in gas-liquid mass transfer and to compare to available data. Numerical predictions are presented for gas holdup at various axial heights as a function of radial position for a superficial gas velocity of 0.1 m/s. The numerical predictions exhibit the axial development of the gas holdup profile phenomena; that is, the gas holdup at the center of the column increases with increasing axial height. The effects of grid resolution and convergence criteria on the numerical predictions are also demonstrated.
机译:将计算流体动力学(CFD)用作气泡塔的放大和设计工具具有很大的潜力。在鼓泡塔中进行大规模实验非常昂贵,而CFD是研究鼓泡塔流体动力学的另一种方法。但是,CFD作为完整的三维几何图形的预测工具可能需要大量计算。在本文中,对直径为0.2 m的半间歇气泡塔进行了数值模拟,并将结果与​​Rampure等人进行的实验测量进行了比较。 [1]。目的是检查并确定一组适当的数值参数,并确定二维模拟是否能够准确预测观察到的气泡现象,从而降低计算成本。采用两流体欧拉-欧拉模型将每个相表示为互穿连续体,并对每个相的质量和动量守恒方程进行整体平均。时间平均气体滞留率主要是由于其在气液传质中的重要作用而进行研究,并与现有数据进行比较。对于0.1 m / s的表观气体速度,给出了在不同轴向高度下气体滞留量随径向位置变化的数值预测。数值预测表明了气体滞留剖面现象的轴向发展。即,随着轴向高度的增加,塔中心的气体滞留量增加。还证明了网格分辨率和收敛准则对数值预测的影响。

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