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Interface instability in shear-banding flow.

S Lerouge1, M Argentina, J P Decruppe

  • 1Laboratoire Matières et Systèmes Complexes, Université Paris 7, 2 Place Jussieu, 75251 Paris Cédex 05, France. sandra.lerouge@paris7.jussieu.fr

Physical Review Letters
|April 12, 2006
PubMed
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We observed instabilities in shear-banding flow of wormlike micelles. These dynamics at the interface between flow bands were modeled using flow symmetry, explaining observed patterns.

Area of Science:

  • Rheology and soft matter physics
  • Complex fluid dynamics
  • Micellar systems

Background:

  • Shear-banding flow is a complex phenomenon observed in various complex fluids, including wormlike micellar solutions.
  • Understanding the interface dynamics is crucial for predicting the macroscopic behavior of these systems.
  • Previous studies have explored shear-banding but often lacked detailed spatiotemporal analysis of the interface.

Purpose of the Study:

  • To investigate the spatiotemporal dynamics of the interface in shear-banding flow.
  • To identify and characterize different regimes of interface dynamics.
  • To develop a model that explains the observed interface behavior.

Main Methods:

  • Utilized start-up experiments on a wormlike micellar system (cetyltrimethylammonium bromide and sodium nitrate in water).

Related Experiment Videos

  • Employed scattering properties of induced structures to probe the interface.
  • Analyzed spatiotemporal dynamics along the stress plateau.
  • Main Results:

    • Demonstrated an instability of the interface between shear bands along the vorticity direction.
    • Identified distinct regimes of spatiotemporal interface dynamics.
    • Observed patterns were qualitatively described by a flow symmetry-based model.

    Conclusions:

    • The interface in shear-banding flow exhibits instabilities and complex spatiotemporal dynamics.
    • A model based on flow symmetry can qualitatively capture these observed interface behaviors.
    • Further research can build upon this model to better predict and control complex fluid flow.