A lattice boltzmann approach to surfactant‐laden emulsions

Mukherjee, Siddhartha; Berghout, Pieter; Akker, H.E.A. van den

doi:10.1002/aic.16451

Cited by 21 publications

(11 citation statements)

References 81 publications

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“…On the other hand, in the mid-range interaction model, the resulting disjoining pressure can be evaluated and, hence, there might be a way to relate it to the experimental isotherms. Third, it is reported in the work from Mukherjee et al [24] that the model by itself could not inhibit the bubbles coalescence.…”

Section: Introductionmentioning

confidence: 92%

On the Simulations of Thermal Liquid Foams Using Lattice Boltzmann Method

2022

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Liquid foams exist in a wide variety of chemical and industrial processes, and they can contaminate the end-product and cause time and economical losses. Understanding and simulating foam is not a straightforward task, due to the highly dispersed time and length scales where the physical phenomena occur. Surfactants’ or proteins’ length scales are far beyond the capability of macroscopic and even mesoscopic numerical fluid solvers, yet the macroscales are still required to be resolved. Meanwhile, the lattice Boltzmann method (LBM) has gained much attention and success as a mesoscopic approach which can deal with complex multiphase multicomponent systems. The aim of this study is to implement LBM to simulate liquid foams while considering the accompanying thermal effects. A coupled multiphase multicomponent thermal flow model and its selected add-ons from the literature are tuned and explained, limitations and future suggestions are fairly discussed. Validations and a final study case are shown as an example for the proposed model and its applicability in thermal liquid foams. Finally, a delicate treatment to back couple the effect of temperature on the surface tension is proposed, hence considering one aspect of the Marangoni effect. Initial results show promising behavior, which can be material for future investigations.

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Section: Introductionmentioning

confidence: 92%

On the Simulations of Thermal Liquid Foams Using Lattice Boltzmann Method

2022

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“…Figure 9 duplicates a scaled image of density at the steady-state condition. As stated by Mukherjee et al, the exact location of droplet edge is uncertain 100 . Therefore, a subpixel edge location based on partial area effect that is an image processing technique is implemented to increase the accuracy of droplet radius determination 101 .…”

Section: Laplace Law Testmentioning

confidence: 99%

Central-Moments-Based Lattice Boltzmann for Associating Fluids: A New Integrated Approach

2020

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Dynamic and thermodynamic behavior of associating fluids play a crucial role in a variety of engineering and science disciplines. Cubic plus association equation of state (CPA EOS) is implemented in a central-moments-based lattice Boltzmann method (LBM) in order to mimic the thermodynamic behavior of associating fluids. The pseudopotential approach is selected to model the multiphase thermodynamic characteristics such as reduced density of associating fluids. The priority of central moments-based approach over multiple-relaxation-time collision operator is shown by performing double shear layers. The integration of central-moments-based LBM and CPA EOS is useful to simulate associating fluids at high flow rate conditions, which is extended to high-density ratio scenarios by increasing the anisotropy order of gradient operator. In order to increase the stability of the model, a higher anisotropy order of the gradient operator is implemented; about 34 present reduction in spurious velocities is noticed in some cases. The type of gradient operator considerably affects the model thermodynamic consistency. Finally, the model is validated by observing a straight line in the Laplace law test. Prediction of thermodynamic behaviours of associating fluids is of significance in biological processes as well as fluid flow in porous media.

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“…Swift et al introduced the Free Energy method 33,34 and He et al 35 finally proposed the so-called HCZ method (from He, Chen and Zhang who first proposed the method), which recently received a lot of attention since the work of Fakhari [36][37][38][39] Geier et al 40 and Mitchell 4127 . Having greatly benefited from the advances in the phase field community 42,43 , these methods were applied on a large range of cases: droplet impact 44 , free jet 45 , ternary fluid 46 , drop impact on a liquid film 47 , flow with surfactant 48 , direct-writing printing 49 and also widely in porous flow 50 . HCZ method allows to simulate a large range of flows at both large density ratios and large Reynolds numbers 41 , while other methods are limited to moderate density ratios and / or moderate Reynolds numbers.…”

Section: Introductionmentioning

confidence: 99%