Multiscale simulation of elongated particles in fluidised beds

Q1 Engineering
Chemical Engineering Science: X Pub Date : 2019-05-01 Epub Date: 2019-03-29 DOI:10.1016/j.cesx.2019.100019
Barry W. Fitzgerald, Ahad Zarghami, Vinay V. Mahajan, Sathish K.P. Sanjeevi, Ivan Mema, Vikrant Verma, Yousef M.F. El Hasadi, Johan T. Padding
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引用次数: 16

Abstract

In this paper, we present a number of key numerical methods that can be used to study elongated particles in fluid flows, with a specific emphasis on fluidised beds. Fluidised beds are frequently used for the production of biofuels, bioenergy, and other products from biomass particles, which often have an approximate elongated shape. This raises numerous issues in a numerical approach such as particle-particle contact detection and the accurate description of the various hydrodynamic forces, such as drag, lift, and torque, that elongated particles experience when moving in a fluid flow. The modelling is further complicated by a separation of length scales where industrial flow structures that can extend for many metres evolve subject to solid-solid and solid-fluid interactions at the millimetre scale. As a result, it is impossible to simulate both length scales using the same numerical approach, and a multiscale approach is necessary. First, we outline the direct numerical simulation (DNS) approach that may be employed to estimate hydrodynamic force closures for elongated particles in a fluid flow. We then describe the key aspects of a CFD-DEM approach, which can be used to simulate laboratory scale fluidisation processes, that must be addressed to study elongated particles. Finally, we briefly consider how current industrial-scale models, which concretely assume particle sphericity, could be adapted for the simulation of large collections of elongated particles subject to fluidisation.

流化床中细长颗粒的多尺度模拟
在本文中,我们提出了一些关键的数值方法,可用于研究流体流动中的细长颗粒,特别强调了流化床。流化床经常用于从生物质颗粒生产生物燃料、生物能源和其他产品,这些颗粒通常具有近似的细长形状。这在数值方法中提出了许多问题,例如颗粒-颗粒接触检测和各种流体动力的准确描述,如阻力、升力和扭矩,这些都是细长颗粒在流体流动中运动时所经历的。由于长度尺度的分离,模型进一步复杂化,其中可以延伸数米的工业流结构在毫米尺度上受到固体-固体和固体-流体相互作用的影响。因此,用相同的数值方法模拟两种长度尺度是不可能的,因此需要采用多尺度方法。首先,我们概述了直接数值模拟(DNS)方法,该方法可用于估计流体流动中细长颗粒的水动力闭包。然后,我们描述了CFD-DEM方法的关键方面,该方法可用于模拟实验室规模的流化过程,必须解决研究细长颗粒的问题。最后,我们简要地考虑了当前的工业规模模型(具体假设颗粒球形)如何适用于模拟大量受流化影响的细长颗粒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Engineering Science: X
Chemical Engineering Science: X Engineering-Industrial and Manufacturing Engineering
CiteScore
11.30
自引率
0.00%
发文量
2
审稿时长
25 weeks
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