Scale-up study of high-shear fluid-particle mixing based on coupled SPH/DEM simulation

Tong, Qi; Zhu, Siyu; Yin, Huiming

doi:10.1007/s10035-018-0807-0

Cited by 9 publications

(1 citation statement)

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“…Robinson [ 21 ] introduced the local average N-S equation into coupling methods and validated the scheme with solid sedimentation in liquid. Robin’s scheme was later improved and applied to a high-shear mixing problem by Kwon [ 22 ] and Qi [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Virtual Experiments of Particle Mixing Process with the SPH-DEM Model

Zhu

Yin

2021

Materials

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Particle mixing process is critical for the design and quality control of concrete and composite production. This paper develops an algorithm to simulate the high-shear mixing process of a granular flow containing a high proportion of solid particles mixed in a liquid. DEM is employed to simulate solid particle interactions; whereas SPH is implemented to simulate the liquid particles. The two-way coupling force between SPH and DEM particles is used to evaluate the solid-liquid interaction of a multi-phase flow. Using Darcy’s Law, this paper evaluates the coupling force as a function of local mixture porosity. After the model is verified by two benchmark case studies, i.e., a solid particle moving in a liquid and fluid flowing through a porous medium, this method is applied to a high shear mixing problem of two types of solid particles mixed in a viscous liquid by a four-bladed mixer. A homogeneity metric is introduced to characterize the mixing quality of the particulate mixture. The virtual experiments with the present algorithm show that adding more liquid or increasing liquid viscosity slows down the mixing process for a high solid load mix. Although the solid particles can be mixed well eventually, the liquid distribution is not homogeneous, especially when the viscosity of liquid is low. The present SPH-DEM model is versatile and suitable for virtual experiments of particle mixing process with different blades, solid particle densities and sizes, and liquid binders, and thus can expedite the design and development of concrete materials and particulate composites.

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Section: Introductionmentioning

confidence: 99%