1 / 17

Reversibility of droplet trains in microfluidic networks

Reversibility of droplet trains in microfluidic networks. Piotr Garstecki 1 , Michael J. Fuerstman 2 , George M. Whitesides 2 1 Institute of Physical Chemistry, PAS, Warsaw, Poland 2 Department of Chemistry and Chemical Biology, Harvard University. Kenis, Science (1999).

cade
Download Presentation

Reversibility of droplet trains in microfluidic networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Reversibility of droplet trains in microfluidic networks Piotr Garstecki1, Michael J. Fuerstman2, George M. Whitesides2 1 Institute of Physical Chemistry, PAS, Warsaw, Poland 2 Department of Chemistry and Chemical Biology, Harvard University

  2. Kenis, Science (1999)

  3. the simplest network – a single loop • amplification and feedback: • drop flows into the arm characterized by lower resistance • (higher pressure gradient) • once the drop enters a channel it increases its resistance

  4. the simplest network – a single loop period-1 period-2 period-3 irregular ffeed / fflow Phys. Rev. E (2006)

  5. period N period 1 period N ??? period 1 nonlinear dynamics embedded in a linear flow invariant under: x - x, (or, equivalently V  - V, and p  -p)

  6. The “operation” of the systemis stable against small differences in the incoming signal Science (2007)

  7. there is amplification and feedback, but: • the nonlinear events are isolated (very short) • the long-range interactions are instantaneous (information is • transmitted much faster than the flow proceeds) • it is all embedded in a linear, dissipative flow

  8. water gas water formation of bubbles – a single nozzle 1 mm height = 30 mm Appl. Phys. Lett. 85, 2649 (2004)

  9. water gas water formation of bubbles – a single nozzle 1 mm height = 30 mm Appl. Phys. Lett. 85, 2649 (2004) nitrogen (p=8 psi) / 2% Tween20 in water (Q=3 mL/h), orifice width/length/height: 60/150/30 mm.

  10. liquid gas liquid end of the gas Inlet channel end of the orifice surface evolver 50 mm equilibrium shape for a given volume enclosed by the gas-liquid interface • rate of collapse linear in the of inflow of the continuous phase • only the very last (and short) stage is driven by interfacial tension Phys. Rev. Lett. 94, 164501 (2005)

  11. coupled flow-focusing oscillators information (fast) evolution (slow) final break-up takes ‘no’ time • + dissipative dynamics (low to mod Re)

  12. coupled flow-focusing oscillators period-29 Nature Phys. 1, 168 (2005)

  13. coupled flow-focusing oscillators Nature Phys. 1, 168 (2005)

  14. 160 kfps – – 6.25 ms The observed dynamics is (again) stable. Nature Phys. 1, 168 (2005)

  15. dynamics of flow through networks: • complicated (complex) •  it is possible to design complex, automated protocols • stable •  the protocols can be executed in practice

More Related