A CFD study of a bi-disperse gas–solid fluidized bed: Effect of the EMMS sub grid drag correction

CFD Simulation of Mixing and Segregation of Binary Solid Mixtures in a Dense Fluidized Bed

“…At present, there are three main ways to simulate binary particle mixtures in the Eulerian framework: 1) the binary particles are treated as two solid phases and each solid phase uses the KTGF for monosized particles to calculate the solid phase stress, with the influence of other solid phases considered in the radial distribution function; 2) the binary particles are treated as two solid phases but the KTGF‐based closures are modified to consider the polydispersity; and 3) the binary particles are treated as one solid phase but the KTGF used in the simulation considers the influence of polydispersity . The first approach is often used in the simulation of binary systems due to its relatively high computational stability . For the experimental system used in our simulation, van Wachem et al and Joseph et al stated that at low velocities segregation is expected to be predominantly caused by particle drag and gravity with granular temperature and granular pressure playing a negligible role.…”

“…[27] The first approach is often used in the simulation of binary systems due to its relatively high computational stability. [17,24] For the experimental system used in Table 1. Physical properties of the glass and polystyrene particles from Joseph et al [1] Material our simulation, van Wachem et al [26] and Joseph et al [1] stated that at low velocities segregation is expected to be predominantly caused by particle drag and gravity with granular temperature and granular pressure playing a negligible role.…”

“…It has been shown that a modification of the Syamlal O'Brien solid‐solid drag model by Chao et al performed better than other solid‐solid drag models for simulating a binary solid mixture of glass particles with different diameters . For gas‐solid drag models, the EMMS‐based drag model was found to predict the mixing and segregation behaviour of a binary solid mixture with different size but same density particles better than conventional gas‐solid drag models included in Ansys® Fluent software . However, a universal gas‐solid drag model that can be applied to a wide range of operating conditions is still not available .…”

“…[11,15] For gas-solid drag models, the EMMS-based drag model was found to predict the mixing and segregation behaviour of a binary solid mixture with different size but same density particles better than conventional gas-solid drag models included in Ansys® Fluent software. [11,17] However, a universal gas-solid drag model that can be applied to a wide range of operating conditions is still not available. [10] For particle-wall interaction, the commonly used model is the Johnson-Jackson model, where the specularity coefficient (φ) is a parameter quantifying the degree of tangential momentum transfer of the solid phase (φ = 1 denotes perfectly diffused collisions and φ = 0 corresponds to perfectly specular collisions).…”

Development of a novel mobile industrial-scale fluidized adsorption process for emergency treatment of water polluted by aniline: CFD simulation and experiments

“…The flow structures in the lab-based fluidized beds were complex [12,13] and accurate quantification of these flow structures needed to be obtained in a wide range of time and expenses scales by experimental methods [14][15][16][17][18]. In the last few years, computational fluid dynamics (CFD) has been developed to understand such intricacies because it is more flexible than experimental studies and less expensive, and it allowed process engineers to predict, manipulate, and realize the desired fluid dynamics in process equipment [19,20], which was complementary to experimental methods with the onset of better computational and experimental facilities [14,[21][22][23][24][25][26][27][28][29][30][31][32][33].…”