Literature DB >> 22402628

Experimental validation of plugging during drop formation in a T-junction.

Adam R Abate1, Pascaline Mary, Volkert van Steijn, David A Weitz.   

Abstract

At low capillary number, drop formation in a T-junction is dominated by interfacial effects: as the dispersed fluid flows into the drop maker nozzle, it blocks the path of the continuous fluid; this leads to a pressure rise in the continuous fluid that, in turn, squeezes on the dispersed fluid, inducing pinch-off of a drop. While the resulting drop volume predicted by this "squeezing" mechanism has been validated for a range of systems, as of yet, the pressure rise responsible for the actual pinch-off has not been observed experimentally. This is due to the challenge of measuring the pressures in a T-junction with the requisite speed, accuracy, and localization. Here, we present an empirical study of the pressures in a T-junction during drop formation. Using Laplace sensors, pressure probes we have developed, we confirm the central ideas of the squeezing mechanism; however, we also uncover other findings, including that the pressure of the dispersed fluid is not constant but rather oscillates in anti-phase with that of the continuous fluid. In addition, even at the highest capillary number for which monodisperse drops can be formed, pressure oscillations persist, indicating that drop formation in confined geometries does not transition to an entirely shear-driven mechanism, but to a mechanism combining squeezing and shearing.

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Year:  2012        PMID: 22402628     DOI: 10.1039/c2lc21263c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  6 in total

1.  A microfluidic manifold with a single pump system to generate highly mono-disperse alginate beads for cell encapsulation.

Authors:  Choong Kim; Juyoung Park; Ji Yoon Kang
Journal:  Biomicrofluidics       Date:  2014-12-05       Impact factor: 2.800

Review 2.  SAW-driven droplet jetting technology in microfluidic: A review.

Authors:  Yulin Lei; Hong Hu
Journal:  Biomicrofluidics       Date:  2020-12-09       Impact factor: 2.800

3.  Deterministic droplet coding via acoustofluidics.

Authors:  Peiran Zhang; Wei Wang; Hai Fu; Joseph Rich; Xingyu Su; Hunter Bachman; Jianping Xia; Jinxin Zhang; Shuaiguo Zhao; Jia Zhou; Tony Jun Huang
Journal:  Lab Chip       Date:  2020-11-24       Impact factor: 6.799

4.  Patterning microfluidic device wettability with spatially-controlled plasma oxidation.

Authors:  Samuel C Kim; David J Sukovich; Adam R Abate
Journal:  Lab Chip       Date:  2015-08-07       Impact factor: 6.799

5.  Accurate microfluidic sorting of droplets at 30 kHz.

Authors:  Adam Sciambi; Adam R Abate
Journal:  Lab Chip       Date:  2015-01-07       Impact factor: 6.799

6.  Real-time size modulation and synchronization of a microfluidic dropmaker with pulsed surface acoustic waves (SAW).

Authors:  Lothar Schmid; Thomas Franke
Journal:  Sci Rep       Date:  2018-03-14       Impact factor: 4.379

  6 in total

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