Capillary pinching in a pinched microchannel

Amyot, Olivier; Plouraboué, Franck

doi:10.1063/1.2709704

Cited by 15 publications

(13 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore the user has a choice between high monodispersity by using elongated rectangular channels, and high bubbling frequency by using square channels. This study therefore brings new insight in the design of microsystems dedicated to the production of microbubbles of very precise properties, including more complex channel geometries [17].…”

mentioning

confidence: 99%

Role of the Channel Geometry on the Bubble Pinch-Off in Flow-Focusing Devices

et al. 2008

View full text Add to dashboard Cite

The formation of bubbles by flow focusing of a gas and a liquid in a rectangular channel is shown to depend strongly on the channel aspect ratio. Bubble breakup consists in a slow linear 2D collapse of the gas thread, ending in a fast 3D pinch-off. The 2D collapse is predicted to be stable against perturbations of the gas-liquid interface, whereas the 3D pinch-off is unstable, causing bubble polydispersity. During 3D pinch-off, a scaling w_(m) approximately tau(1/3) between the neck width w_(m) and the time tau before breakup indicates that breakup is driven by the inertia of both gas and liquid, not by capillarity.

show abstract

mentioning

confidence: 99%

Role of the Channel Geometry on the Bubble Pinch-Off in Flow-Focusing Devices

et al. 2008

View full text Add to dashboard Cite

show abstract

“…This procedure is widely applied in flow-focusing devices. In these devices, an inner liquid thread can be created by outer liquid shearing Amyot and Plouraboue 2007;Garstecki et al 2004;Gordillo et al 2001;Barrero et al 1998;Utada et al 2007;Ganan-Calvo 1998). In this case, however, the confinement is not stable and can easily be disturbed by dynamic fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Scalable attoliter monodisperse droplet formation using multiphase nano-microfluidics

Shui

Berg

Eijkel

2011

Microfluid Nanofluid

View full text Add to dashboard Cite

We demonstrate a robust method to produce monodisperse femtoliter to attoliter droplets by using a nano-microfluidic device. Two immiscible liquids are forced through a nanochannel where a steady nanoscopic liquid filament forms, thinning close to the nanochannel exit to a microchannel due to the capillary focusing. When the nanoscopic filament enters the microchannel, monodisperse droplets are formed by capillary instability. In a certain range of physical parameters and geometrical configurations, the droplet size is only determined by the nanochannel height and independent of liquid flow rates and ratios, surfactants, and continuous phase viscosity. By using nanochannels with a height of 100-900 nm, 0.4-3.5 lm diameter droplets (volume down to 30 aL) have been produced. The generated droplets are stable for at least weeks.

show abstract

“…Because of snap-off events and redistribution of non-wetting fluid observed in model B, a more complex variant of IP model was tested for model B. As these events are not frequent in our case, this model does not need to be detailed here, but the interested reader could consult Amyot and Plouraboué (2007) for a thorough investigation of capillary snap-off in similar constrictions. Amundsen et al found that their model led to a reasonable agreement with the experimental data.…”

Section: Introductionmentioning

confidence: 98%

Critical point network for drainage between rough surfaces

et al. 2007

Self Cite

View full text Add to dashboard Cite

In this paper, we present a network method for computing two-phase flows between two rough surfaces with significant contact areas. Low-capillary number drainage is investigated here since one-phase flows have been previously investigated in other contributions. An invasion percolation algorithm is presented for modeling slow displacement of a wetting fluid by a non wetting one between two rough surfaces. Short-correlated Gaussian process is used to model random rough surfaces.The algorithm is based on a network description of the fracture aperture field. The network is constructed from the identification of critical points (saddles and maxima) of the aperture field. The invasion potential is determined from examining drainage process in a flat mini-channel. A direct comparison between numerical prediction and experimental visualizations on an identical geometry has been performed for one realization of an artificial fracture with a moderate fractional contact area of about 0.3. A good agreement is found between predictions and observations.

show abstract

Capillary pinching in a pinched microchannel

Cited by 15 publications

References 25 publications

Role of the Channel Geometry on the Bubble Pinch-Off in Flow-Focusing Devices

Role of the Channel Geometry on the Bubble Pinch-Off in Flow-Focusing Devices

Scalable attoliter monodisperse droplet formation using multiphase nano-microfluidics

Critical point network for drainage between rough surfaces

Contact Info

Product

Resources

About