Droplet traffic in microfluidic networks: A simple model for understanding and designing

Physics – Fluid Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

accepted for publication in PRL

Scientific paper

10.1103/PhysRevLett.100.044501

We propose a simple model to analyze the traffic of droplets in microfluidic ``dual networks''. Such functional networks which consist of two types of channels, namely those accessible or forbidden to droplets, often display a complex behavior characteristic of dynamical systems. By focusing on three recently proposed configurations, we offer an explanation for their remarkable behavior. Additionally, the model allows us to predict the behavior in different parameter regimes. A verification will clarify fundamental issues, such as the network symmetry, the role of the driving conditions, and of the occurrence of reversible behavior. The model lends itself to a fast numerical implementation, thus can help designing devices, identifying parameter windows where the behavior is sufficiently robust for a devices to be practically useful, and exploring new functionalities.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Droplet traffic in microfluidic networks: A simple model for understanding and designing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Droplet traffic in microfluidic networks: A simple model for understanding and designing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Droplet traffic in microfluidic networks: A simple model for understanding and designing will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-695593

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.