Modeling the evolution and rupture of stretching pendular liquid bridges

Darabi, Pirooz; Li, Tingwen; Pougatch, Konstantin; Salcudean, M.; Grecov, Dana

doi:10.1016/j.ces.2010.04.003

Cited by 37 publications

(22 citation statements)

References 41 publications

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“…Clearly, a better understanding of the formation of liquid bridges will aid in controlling these processes. Previous studies on liquid bridges between particles mainly focused on static bridges, bridge deformation during stretching and rupture, or the energy dissipated on rupture, however, few theoretical and experimental studies provided a detailed understanding of the initial bridge formation process, and the accompanying liquid transfer rate from the particle surface into the bridge. Experimental results, and the resulting empirical models, have been summarized by Herminghaus, mainly focusing on the effect of roughness, as well as evaporation and re‐condensation.…”

Section: Introductionmentioning

confidence: 99%

A model to predict liquid bridge formation between wet particles based on direct numerical simulations

Radl

Khinast

2016

AIChE Journal

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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.

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Section: Introductionmentioning

confidence: 99%

A model to predict liquid bridge formation between wet particles based on direct numerical simulations

Radl

Khinast

2016

AIChE Journal

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“…(16). Several simulations have been run for the linear irreversible contact model in the same numerical set-up with the same maximum adhesive force as used in the liquid bridge model (( f a max ) liq = ( f a max ) lin ) and adhesive stiffness that would result in the same interaction range for different liquid bridge volumes for a different surface tension of liquid.…”

Section: Equal Maximum Force and Interaction Distancementioning

confidence: 99%

“…The tensile forces generated at particle level result in cohesion at macroscopic scale. Earlier studies have been done for liquid bridge in the pendular regime to understand the effect of liquid bridge volume and contact angle on different macroscopic quantities like the steady-state cohesion, torque, and shear band properties [12][13][14][15][16]. Other studies for unsaturated granular media observe fluid depletion in shear bands [17,18].…”

Section: Introductionmentioning

confidence: 99%

Micro–macro transition and simplified contact models for wet granular materials

et al. 2015

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Wet granular materials in a quasistatic steadystate shear flow have been studied with discrete particle simulations. Macroscopic quantities, consistent with the conservation laws of continuum theory, are obtained by time averaging and spatial coarse graining. Initial studies involve understanding the effect of liquid content and liquid properties like the surface tension on the macroscopic quantities. Two parameters of the liquid bridge contact model have been identified as the constitutive parameters that influence the macroscopic rheology (i) the rupture distance of the liquid bridge model, which is proportional to the liquid content, and (ii) the maximum adhesive force, as controlled by the surface tension of the liquid. Subsequently, a correlation is developed between these microparameters and the steady-state cohesion in the limit of zero confining pressure. Furthermore, as second result, the macroscopic torque measured at the walls, which is an experimentally accessible parameter, is predicted from our simulation results with the same dependence on the microparameters. Finally, the steady-state cohesion of a realistic non-linear liquid bridge contact model scales well with the steady-state cohesion for a simpler linearized irreversible contact model with the same maximum adhesive force and equal energy dissipated per contact. B Sudeshna Roy

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“…Many authors have investigated the formation of liquid bridges at the micro-scale, investigating both static and dynamic liquid bridge properties for systems involving two or three particles [47][48][49][50][51][52][53][54][55]. Liquid viscosity has been shown to have a large impact on the bridge strength, the rupture distance, and the subsequent redistribution of the liquid [56][57][58][59][60]. However, there is currently no research on the effect of liquid viscosity on the coating variation at the process scale, e.g.…”

Section: However In Their Dem Simulations Specific To Liquid Contactmentioning

confidence: 99%

A novel method for the analysis of particle coating behaviour via contact spreading in a tumbling drum: Effect of coating liquid viscosity

et al. 2019

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Modeling the evolution and rupture of stretching pendular liquid bridges

Cited by 37 publications

References 41 publications

A model to predict liquid bridge formation between wet particles based on direct numerical simulations

A model to predict liquid bridge formation between wet particles based on direct numerical simulations

Micro–macro transition and simplified contact models for wet granular materials

A novel method for the analysis of particle coating behaviour via contact spreading in a tumbling drum: Effect of coating liquid viscosity

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