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Identifying dominant spatial and time characteristics of flow dynamics within free-surface baffled stirred-tanks from CFD simulations

机译:从CFD模拟中识别流动动力学中的流动动力学的主要空间和时间特征

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In many chemical and biochemical processes, it is fundamental to accurately predict flow dynamics within reactors of different sizes and its influence on reactions and their kinetics. Computational Fluid Dynamics can provide detailed modeling about hydrodynamics. The objective of the present work is to assess the abilities of CFD to simulate free-surface turbulent flow within baffled stirred-tanks reactors. Transient simulations are carried out using a homogeneous Euler-Euler multiphase approach, the Volume-of-Fluid (VOF) method, with a Realizable k-epsilon turbulence model. Two methods are considered to account for the impeller motion, namely the Multiple Reference Frame (MRF) and Sliding Mesh (SM) approaches. Global and local results obtained by CFD are presented by means of statistical analysis, including the estimation of characteristic turbulent length scales. Instantaneous numerical data fields obtained with the SM model are then interpreted using modal decompositions methods, i.e. the Proper Orthogonal Decomposition (POD) and the Dynamic Mode Decomposition (DMD) in order to extract their dominant spatial structures with their time behavior. All simulations are discussed based on comparison with experimental data. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在许多化学和生化过程中,它是准确地预测不同尺寸的反应器内的流动动态的基础及其对反应和动力学的影响。计算流体动力学可以提供关于流体动力学的详细建模。本作工作的目的是评估CFD的能力模拟挡板搅拌罐反应器内的自由表面湍流。使用均匀的欧拉 - 欧拉多相方法,流体体积(VOF)方法进行瞬态模拟,具有可实现的K-Epsilon湍流模型。认为两种方法被认为考虑了叶轮运动,即多参考帧(MRF)和滑动网格(SM)方法。 CFD获得的全局和局部结果通过统计分析提出,包括估计特征湍流长度尺度。然后使用模态分解方法解释用SM模型获得的瞬时数值数据字段,即适当的正交分解(POD)和动态模式分解(DMD),以便用它们的时间行为提取它们的主导空间结构。基于与实验数据的比较来讨论所有模拟。 (c)2018年elestvier有限公司保留所有权利。

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