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Related Concept Videos

Capillarity in Fluid01:19

Capillarity in Fluid

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Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
Surface tension is crucial to capillarity. It results from cohesive forces between liquid molecules at the liquid-air boundary, forming a skin that resists external forces. When the capillary tube...
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Updated: Jun 12, 2025

Fabricating High-viscosity Droplets using Microfluidic Capillary Device with Phase-inversion Co-flow Structure
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Fabricating High-viscosity Droplets using Microfluidic Capillary Device with Phase-inversion Co-flow Structure

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Flow and clogging of capillary droplets.

Yuxuan Cheng1, Benjamin F Lonial2, Shivnag Sista1

  • 1Department of Physics, Yale University, New Haven, Connecticut, 06520, USA. yuxuan.cheng@yale.edu.

Soft Matter
|September 18, 2024
PubMed
Summary

We developed a new model for capillary droplet motion in confined spaces. This model accurately predicts droplet behavior, including clogging in microfluidic channels and obstacle arrays, revealing nonmonotonic clogging probabilities.

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Area of Science:

  • Fluid Dynamics
  • Microfluidics
  • Soft Matter Physics

Background:

  • Capillary droplets are formed by surface tension between immiscible fluids.
  • Understanding droplet behavior in confined geometries is crucial for microfluidic applications.

Purpose of the Study:

  • To develop and validate a model for capillary droplet motion in microfluidic constrictions and obstacle arrays.
  • To investigate the flow dynamics, speed profiles, and clogging phenomena of deformable capillary droplets.

Main Methods:

  • Development of a novel capillary deformable particle model.
  • Experimental validation of the model using oil droplets in water within microfluidic chambers.
  • Simulations of droplet flow through narrow channels and obstacle arrays using the validated model.

Main Results:

  • The model accurately recapitulates droplet shape and velocity in constrictions.
  • Droplet speed exhibits nonmonotonic behavior upon exiting constrictions, with potential overshoot of terminal velocity.
  • Extremely deformable droplets wrap around obstacles, leading to decreased speeds and increased clogging probability, which is nonmonotonic with surface tension.

Conclusions:

  • The validated model provides a predictive tool for capillary droplet flow in complex microfluidic geometries.
  • Droplet deformability and surface tension significantly influence flow dynamics and clogging in obstacle arrays.
  • The findings are essential for designing and optimizing microfluidic devices involving capillary droplet transport.