Height function based Volume of Fluid code for simulations of multiphase magnetic fluids

Grant, Holly; Scardovelli, Ruben; Trubatch, A. D.; Yecko, Philip

doi:10.1016/j.compfluid.2014.09.017

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…17,18 Numerical studies have also been developed for studying magnetic droplet splitting or breakup at T-junctions, 19 including magnetic droplet transport on a digital microfluidic platform. 20 Still, a significant part of numerical studies on ferrofluid droplets are devoted to the investigation of the motion and deformation of a single droplet under the influence of magnetic fields [21][22][23][24][25][26][27][28] or electric fields. 29,30 Other numerical studies have reported coalescence of two ferrofluid droplets when they are exposed to magnetic fields.…”

Section: Acs Paragon Plus Environmentmentioning

confidence: 99%

“…Different authors have addressed the modeling of droplet generation, mostly by passive control by using different flow rates for the continuous phase (CP) and dispersed phase (DP), , but active ferrofluid droplet formation has been reported as well. , Numerical studies have also been developed for studying magnetic droplet splitting or breakup at T-junctions, including magnetic droplet transport on a digital microfluidic platform . Still, a significant part of numerical studies on ferrofluid droplets is devoted to the investigation of the motion and deformation of a single droplet under the influence of magnetic fields − or electric fields. , Other numerical studies have reported coalescence of two ferrofluid droplets when they are exposed to magnetic fields. , Although these studies are important and reflect the complexity of the problem (complex dynamic interaction of magnetic, surface tension, and viscous forces), they are limited to a discrete number of droplets that are placed inside small fluidic structures and, for most of them, under uniform magnetic fields.…”

Section: Introductionmentioning

confidence: 99%

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Two-Step Numerical Approach To Predict Ferrofluid Droplet Generation and Manipulation inside Multilaminar Flow Chambers

et al. 2019

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In this study, a computational fluid dynamics approach is implemented to investigate the dynamic behavior of continuous-flow droplet microfluidics. The developed approach predicts both droplet generation and manipulation in a two-step process. Firstly, droplet formation was studied in a flow-focusing junction through an Eulerian-Eulerian approach. Surface tension and wall adhesion were used in the model. The effect of the flow rates and geometrical characteristics of the device on droplet size and dispensing rate was investigated. Secondly, post-generation, droplets were treated as point-likeparticles, and their deflection across a millimeter, multi-laminar flow chamber with five parallel streams was modeled using an Eulerian-Lagrangian approach, thus improving computational efficiency. Flow rates and magnet location were optimized. Our simulated droplet trajectory inside the chamber was contrasted against experimental data and good agreement was found between them. This two-step computational model enables the rational optimization of continuous-flow droplet processing and it can be readily adapted to a broad range of magnetically-enabled microfluidic applications.

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Section: Acs Paragon Plus Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two-Step Numerical Approach To Predict Ferrofluid Droplet Generation and Manipulation inside Multilaminar Flow Chambers

et al. 2019

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“…An example is the application of ferrofluids in adaptive optics that has been considered in recent experiments [3,4]. The control of ferrofluid properties using magnetic fields also has applications in mechanical sealing and acoustics [5], targeted drug delivery [6,7,8] and treatment of retinal detachment [9].…”

Section: Introductionmentioning

confidence: 99%

Interfacial deformation and jetting of a magnetic fluid

2016

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An attractive technique for forming and collecting aggregates of magnetic material at a liquid-air interface by an applied magnetic field gradient was recently addressed theoretically and experimentally [Soft Matter, (9) 2013, 8600-8608]: when the magnetic field is weak, the deflection of the liquid-air interface has a steady shape, while for sufficiently strong fields, the interface destabilizes and forms a jet that extracts magnetic material. Motivated by this work, we develop a numerical model for the closely related problem of solving two-phase Navier-Stokes equations coupled with the static Maxwell equations. We computationally model the forces generated by a magnetic field gradient produced by a permanent magnet and so determine the interfacial deflection of a magnetic fluid (a pure ferrofluid system) and the transition into a jet. We analyze the shape of the liquid-air interface during the deformation stage and the critical magnet distance for which the static interface transitions into a jet. We draw conclusions on the ability of our numerical model to predict the large interfacial deformation and the consequent jetting, free of any fitting parameter.

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A coupled volume-of-fluid and level set method based on multi-dimensional advection for unstructured triangular meshes

Cao

Sun

Wei

et al. 2018

Chemical Engineering Science

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Height function based Volume of Fluid code for simulations of multiphase magnetic fluids

Cited by 4 publications

References 23 publications

Two-Step Numerical Approach To Predict Ferrofluid Droplet Generation and Manipulation inside Multilaminar Flow Chambers

Two-Step Numerical Approach To Predict Ferrofluid Droplet Generation and Manipulation inside Multilaminar Flow Chambers

Interfacial deformation and jetting of a magnetic fluid

A coupled volume-of-fluid and level set method based on multi-dimensional advection for unstructured triangular meshes

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