Droplet length and generation rate investigation inside microfluidic devices by means of CFD simulations and experiments

Chaves, I.L.; Duarte, Lucas C.; Coltro, Wendell K. T.; Santos, D.A.

doi:10.1016/j.cherd.2020.07.015

Cited by 15 publications

(10 citation statements)

References 30 publications

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“…This model was developed to track the position of the interface between two or more immiscible fluids (Filimonov, Wu, & Sundén, 2021). Due to the robustness and computationally effective approach for interface tracking (Hoang, van Steijn, Portela, Kreutzer, & Kleijn, 2013), this model is one of the most widely used models for droplet generation (Chaves et al, 2020;Shen, Liu, Wu, Yu, & Yu, 2020;Wang et al, 2018). The VOF model involves the continuity equation ( 8), the momentum equation ( 9) and the equation for volume fraction (10):…”

Section: Solution Methodsmentioning

confidence: 99%

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Computational model and simulations of contact angle and geometry effects on centrifugal microfluidic step-emulsification

Fahland

Mishra

2023

Preprint

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The generation of droplets in microfluidic systems is extensively applied in various chemical and biological applications. For two-phase immiscible micro-droplet formation, both actively and passively driven systems being employed. Active systems typically include pump-based, magnetic actuation or centrifugal flow control-based methods that employ cross-flowing, flow-focusing or co-flowing microfluidic architecture to assist formation. Numerical modelling using computational fluid dynamics (CFD) allows for an in-silico approach in the understanding of the micro-droplet formation behaviour and the effect of several parameters on the size and rate of droplet formation. Although several such models have been presented previously for pump driven cross-flowing, flow focusing or co-flowing microfluidic architectures, systems typically employing centrifugal actuation methods are limited. We investigate here a CFD method for modelling and simulating step-emulsification of water-in-oil, on a centrifugal microfluidics platform. The effects of contact angles, supply channel geometry and capillary number were studied using the numerical model and compared to experimental data from previous work.

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Section: Solution Methodsmentioning

confidence: 99%

“…Compared to the other schemes, PISO is more robust and predicts accurate results (Lamine Diouf & Romero, 2017). Moreover, PISO has been previously used for simulations of droplet formation (Chaves, Duarte, Coltro, & Santos, 2020;Ren & Leung, 2016;Wang et al, 2018).…”

Section: Solution Methodsmentioning

confidence: 99%

Computational model and simulations of contact angle and geometry effects on centrifugal microfluidic step-emulsification

Fahland

Mishra

2023

Preprint

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“…The fluid flow was solved using ANSYS Fluent CFD software tool. CFD and the Finite Volume Method [15][16][17] have been successfully used in simulations of microfluidic devices [18][19][20]. Given the quasi-static nature of the process, the values of the dynamic viscosity and density shown in Table 1 [1] and the characteristic length (inlet diameter of 10 µm), the fluid flow was determined to be in the laminar regime.…”

Section: Numerical Modelmentioning

confidence: 99%

CFD modelling of the effect of capillary pressure on retention behaviour of water menisci at inter-particle contacts

2021

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This paper presents a Computational Fluid Dynamics (CFD) model on the effect of capillary pressure on the retention behaviour of a granular material. The model proposes an unprecedented CFD insight into the onset of liquid menisci at the inter-particles contact under varying hydraulic conditions. The present work models the material grains as smooth spherical particles that define a porous network filled by two interstitial fluids: air and silicon oil. The numerical model has been subsequently validated against experimental measurements of the degree of saturation at different capillary pressures taken by Dullien et al. [F.A. Dullien, C. Zarcone, I.F. MacDonald, A. Collins, R.D. Bochard. J. Colloid Interface Sci. 127, 2 (1989)] in a system of smooth glass beads flooded with silicon oil. Results from the numerical simulations confirm the good capability of the model to reproduce the experimental retention behaviour of the granular material. Finally, the present paper laid the basis for future CFD studies on the effect of various factors (e.g. hydraulic hysteresis, surface roughness and/or grain shape) on the capillary pressure acting at the interparticle contact.

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“…Computational fluid dynamics (CFD) simulation provides a method for an indepth understanding of this complicated process. Typically, the level-set method (LS) (Yap and Chai, 2012;Liu et al, 2015;Shin et al, 2018;Helland et al, 2019;Valle et al, 2020), volume of fluid (VOF) method (Soh et al, 2016;Chaves et al, 2020;Sattari et al, 2020;Garoosi and Hooman, 2022), and lattice Boltzmann method (Kim and Pitsch, 2015;Reijers et al, 2016;Wu et al, 2021;Li et al, 2022) are used to model the multiphase flow. Among them, the VOF technique is the most commonly employed technique to simulate the free surface in academic and commercial CFD software packages (Hirt and Nichols, 1981).…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on the Formation and Solidification of LMPA Microdroplet in a Microfluidic Device

et al. 2022

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LMPA droplets or particles have contributed to many fields such as the application of sensors and valves, and droplet-based microfluidics has been applied to the preparation of LMPA droplets. Understanding how flow rate, interfacial tension, and temperature affect the formation and solidification of droplets is helpful to design a microfluidic platform. In this study, a coupled VOF and enthalpy-porosity method will be used to numerically simulate how these factors affect the LMPA droplet formation and solidification process. We find that increasing the velocity of the continuous phase or decreasing the interfacial tension will reduce the LMPA droplet size and simultaneously increase the frequency of droplet formation. In addition, increasing the interfacial tension will decrease the required solidification time of LMPA droplets, and the solidification time of droplets will first increase and then decrease with the growth of continuous-phase velocity. On the other hand, increasing the continuous-phase temperature or cooling wall temperature will reduce the solidification time of LMPA droplets, but has no obvious influence on the size and frequency of droplet generation.

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Droplet length and generation rate investigation inside microfluidic devices by means of CFD simulations and experiments

Cited by 15 publications

References 30 publications

Computational model and simulations of contact angle and geometry effects on centrifugal microfluidic step-emulsification

Computational model and simulations of contact angle and geometry effects on centrifugal microfluidic step-emulsification

CFD modelling of the effect of capillary pressure on retention behaviour of water menisci at inter-particle contacts

Numerical Study on the Formation and Solidification of LMPA Microdroplet in a Microfluidic Device

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