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droplet-flow's Introduction

Droplet flow in a bifurcated millifluidic loop

Millifluidics involves manipulation of fluids that are on the milli-scale. The real-world applications of millifluidics range from simplified versions of common place medical tests to groundbreaking research projects.

A bifurcated loop refers to a single fluid pipe that branches into two and is rejoined back later to form a loop (with two openings). Droplet flow of alternating colors through this setup are simulated using the proposed alogrithm [1]. The two channel are slightly asymmetrical and their dimensions are fixed in the simulation.

droplet_flow.mp4

The Algorithm

The authors have devised an algorithm to predict the behaviour of droplets in a bifurcated loop by estimating and quantifying channel resistances (resistance offered to flow of droplet in each channel). The dynamics of the channel (flow rate, velocity, etc.) change whenever a droplet enters or exits a channnel. The flow is unidirectional in nature. The algorithm is as follows,

  1. Compute the flow rates in each channel for a given set of droplet positions Flow rate in longer channel Flow rate in longer channel
  2. Determine the droplet velocities

    Flow rate in longer channel
  3. Determine the next time when a droplet arrives at a junction, i.e. either a droplet entering a junction or exiting a junction, and advance all droplets to this time
  4. Decide which route the triggering droplet takes, update the channel resistances of the affected channels, and return to the first step

Abbreviations

image

References

[1] Schindler, Michael, and Armand Ajdari. "Droplet traffic in microfluidic networks: A simple model for understanding and designing." Physical Review Letters 100, no. 4 (2008): 044501

[2] Wang, W. S., & Vanapalli, S. A. (2014). Millifluidics as a simple tool to optimize droplet networks: Case study on drop traffic in a bifurcated loop. Biomicrofluidics, 8(6), 064111

[3] Labrot, Vincent, Michael Schindler, Pierre Guillot, Annie Colin, and Mathieu Joanicot. "Extracting the hydrodynamic resistance of droplets from their behavior in microchannel networks." Biomicrofluidics 3, no. 1 (2009): 012804

[4] Fuerstman, Michael J., Piotr Garstecki, and George M. Whitesides. "Coding/decoding and reversibility of droplet trains in microfluidic networks." Science 315, no. 5813 (2007): 828-832

NOTE:Actual experimental results may deviate from the simulation results as environmental factors were not taken into account and some assumptions were made while calculating the required parameters.

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