Abstract
We study dynamic liquid bridge formation, which is relevant for wet granular flows involving highly viscous liquids and short collisions. Specifically, the drainage process of liquid adhering to two identical, non‐porous wet particles with different initial film heights is simulated using Direct Numerical Simulations (DNS). We extract the position of the interface, and define the liquid bridge and its volume by detecting a characteristic neck position. This allows us building a dynamic model for predicting bridge volume, and the liquid remaining on the particle surface. Our model is based on two dimensionless mobility parameters, as well as a dimensionless time scale to describe the filling process. In the present work model parameters were calibrated with DNS data. We find that the proposed model structure is sufficient to collapse all our simulation data, indicating that our model is general enough to describe liquid bridge formation between equally sized particles. © 2016 American Institute of Chemical Engineers AIChE J, 62: 1877–1897, 2016
Highlights
Flow of highly saturated wet granular matter is encountered in a wide range of engineering applications, in the energy sector, or the pharmaceutics and food industry.[1]
A new model to predict dynamic liquid bridge formation between two wet particles has been presented in this article
This model is based on Direct Numerical Simulations (DNS) data, which were obtained by extracting the interface position from VoF-based simulations of the bridge filling process
Summary
Flow of highly saturated wet granular matter is encountered in a wide range of engineering applications, in the energy sector, or the pharmaceutics and food industry.[1] Due to viscous effects, evaporation or condensation, capillary forces and inhomogeneous liquid distribution in wet granular flows, the liquid transport is difficult to describe and complex flow behaviour is generally observed.[2] liquid bridges between particles may lead to particle agglomeration[3] which is either wanted (in the case of wet granulation), or unwanted (e.g., in wet fluidized beds used for coking). Experimental results, and the resulting empirical models, have been summarized by Herminghaus[10], mainly focusing on the effect of roughness, as well as evaporation and re-condensation
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