Open-source MFIX-DEM software for gas–solids flows: Part I—Verification studies

Fully coupled TFM-DEM simulations to study the motion of fuel particles in a fluidized bed

“…fully coupled TFM-DEM). Details of the governing equations along with the numerical implementation, including the coupling procedure, tests and validations, can be found in Garg et al (2010Garg et al ( , 2012 and Li et al (2012).…”

Applying uncertainty quantification to multiphase flow computational fluid dynamics

“…For the fluid-particle drag coefficient (β in Table 1), the drag closure is fixed as Gidaspow drag correlation, which is the blend of Wen & Yu (at low solids loading) and Ergun (at high solids loading) correlations. The normal dashpot coefficient is calculated based on the user specified values for springstiffness coefficient and normal coefficient of restitution [6]. The tangential coefficients of restitutions are not prescribed directly in MFIX-DEM simulations.…”

Determination of the normal spring stiffness coefficient in the linear spring–dashpot contact model of discrete element method

“…In this case, the solid phases are represented by particles and the motion of the particles is modeled by the solution of Newton's law applied in each particle. MFIX code is used in this work for the numerical simulations and this code supports both approaches: Two-fluid method (TFM) ( [39,40]) and fluid-DEM approach ( [27,52,53]). Next, we describe the governing equations for the latter approach (Eulerian-Lagragian or fluid-DEM) used in the present work.…”

“…In MFIX-DEM, there are two methods available to calculate the fluid particle interaction force (see Garg et al [27,53]). In the first method, the gas-phase and solid-phase velocity fields are computed at particle location and in the second they are computed at a cell-centered position.…”