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Magnetically Induced Rotating Rayleigh-Taylor Instability
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Published on: March 3, 2017

Mixing generated by Faraday instability between miscible liquids.

Sakir Amiroudine1, Farzam Zoueshtiagh, Ranga Narayanan

  • 1University of Bordeaux, Institut de Mécanique et d'Ingénierie-TREFLE, UMR CNRS 5295 16 Avenue Pey-Berland, Pessac Cedex, F-33607, France. sakir.amiroudine@u-bordeaux1.fr

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 10, 2012
PubMed
Summary

Vertical vibrations enhance mixing of miscible liquids. The study reveals that mixing layer thickness (MLT) grows exponentially due to initial instability and then linearly, influenced by vibration amplitude and initial diffusion.

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Quantifying Mixing using Magnetic Resonance Imaging
07:33

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Published on: January 25, 2012

Area of Science:

  • Fluid Dynamics
  • Physics of Fluids
  • Interfacial Phenomena

Background:

  • Miscible liquid mixing is crucial in various industrial processes.
  • Understanding mixing under external forces like vibrations is key to process optimization.
  • Initial diffusion at the interface significantly impacts mixing dynamics.

Purpose of the Study:

  • To investigate the mixing of two miscible liquids subjected to vertical vibrations.
  • To analyze the effect of vibration parameters (amplitude, frequency) on mixing.
  • To compare experimental results with numerical modeling predictions.

Main Methods:

  • Experimental study using a rectangular cell with two miscible liquids (lighter above denser).
  • Visualization of the diffuse interface using high-speed camera.
  • Two-dimensional numerical modeling of the fluid mixing process.

Main Results:

  • Interface instability with a defined wavelength occurs under vibration.
  • Mixing layer thickness (MLT) shows exponential then linear growth.
  • MLT increases with vibration amplitude; experimental MLTs exceed computational ones due to initial diffusion.

Conclusions:

  • Vertical vibrations effectively induce and enhance mixing in miscible liquids.
  • Initial interfacial diffusion plays a destabilizing role, increasing mixing rates.
  • Numerical models require accounting for initial diffusion for accurate predictions.