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A DNS Approach Dedicated to the Analysis of Fluidized Beds

机译:一种专用于流化床分析的DNS方法

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The numerical modelling of fluidized bed is widely encountered in fundamental research and industrial applications in the field of chemistry, energy or material processes. The problem is complicated by the presence of different length and time scales describing the particles and the reactors. Several modellings exist for simulating particulate flows. In averaged Eulerian models where the size of the particles is small compared to the continuous medium characteristic scale, fluid-particle interactions are taken into account using constitutive laws. In the present study, a numerical model is proposed to describe the fluid-particle interactions at the particle scale, based on fixed Eulerian structured grids, penalty methods and Volume Of Fluid (VOF) techniques. Our interest is to build a general model and approximation methods efficient enough for leading Direct Numerical Simulations of paiticulate flows without any requirements of physical parametrization such as particle-particle interactions. In addition, our motivation is to analyze the results of the numerical experiments in terms of equivalent macroscopic quantities such as velocity fluctuations, granular pressure or solid fraction.
机译:流化床的数值模型广泛遇到了化学,能源或材料过程领域的基础研究和工业应用。通过描述颗粒和反应器的不同长度和时间尺度存在,问题是复杂的。存在用于模拟微粒流动的几种发动机。在与连续培养基特征尺度相比颗粒的尺寸小的平均欧拉模型中,使用本构规定将流体颗粒相互作用考虑。在本研究中,提出了一种数值模型来描述粒子级的流体颗粒相互作用,基于固定的欧拉结构格栅,罚款方法和流体(VOF)技术。我们的兴趣是建立一种通用模型和近似方法,其足够足以用于引导PAITICULATULE流的直接数值模拟,而没有任何物理参数化如粒子颗粒相互作用。此外,我们的动机是根据等同的宏观量,例如速度波动,颗粒压力或固体级分来分析数值实验的结果。

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