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Lagrangian trajectory model for turbulent swirling flow in an annular cell: comparison with residence time distribution measurements

机译:拉格朗日轨迹模型在环形单元中的湍流回旋:与停留时间分布测量的比较

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Knowledge of the flow field can be very useful for reactor design and optimization. Data concerning the displacement and trajectories of reactive elements are of primary interest for a better understanding of process running. Results can be deduced from computational fluid dynamics or experimental measurements, However, numerical simulation is difficult to achieve for complex flow such as swirling decaying flow, and trajectories need to be calculated on the basis of velocity field measurements. This problem can be simplified by using a Lagrangian formulation, in which case the only major difficulty is to express the influence of turbulence on calculated trajectories. Velocity fluctuations can be considered as pure random functions or related to turbulence correlations. These two methods were used to calculate trajectories of elementary fluid particles in a swirling decaying flow on the basis of hydrodynamic characteristics obtained by particle image velocimetry (PIV) studies. Trajectory dispersion was then compared with experimental results obtained by PIV measurements of the instantaneous flow field. This comparison shows the great dependence of velocity fluctuation (and thus of trajectories) on spatial correlations. Finally, the correct mathematical formulation of velocity fluctuation was checked by using the trajectory calculation algorithm to determine residence time distribution (RTD). A comparison with experimental RTD confirmed the efficiency of the method for determining trajectories in swirling decaying flow. (C) 2002 Published by Elsevier Science Ltd. [References: 18]
机译:流场的知识对于反应器的设计和优化可能非常有用。为了更好地了解过程运行,与反应性元件的位移和轨迹有关的数据是最重要的。可以从计算流体动力学或实验测量结果中得出结果,但是,对于复杂的流(例如旋涡衰减流)很难实现数值模拟,并且需要基于速度场测量来计算轨迹。通过使用拉格朗日公式可以简化此问题,在这种情况下,唯一的主要困难是表达湍流对计算轨迹的影响。速度波动可被视为纯随机函数或与湍流相关。这两种方法用于基于通过粒子图像测速(PIV)研究获得的流体动力学特性来计算旋涡衰减流中的基本流体粒子的轨迹。然后将轨迹分散与通过瞬时流场的PIV测量获得的实验结果进行比较。这种比较表明,速度波动(以及由此的轨迹)对空间相关性的依赖性很大。最后,使用轨迹计算算法检查速度波动的正确数学公式,以确定停留时间分布(RTD)。与实验RTD的比较证实了在旋涡衰减流中确定轨迹的方法的有效性。 (C)2002由Elsevier Science Ltd.出版[参考文献:18]

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