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Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...
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Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
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Chemical pattern formation induced by a shear flow in a two-layer model.

Desiderio A Vasquez1, Jeff Meyer, Hans Suedhoff

  • 1Departamento de Ciencias, Sección Física, Pontificia Universidad Católica del Perú, Apartado 1761, Lima, Peru.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2008
PubMed
Summary

Shear flow can create chemical patterns in reaction-diffusion-advection systems, even when standard conditions for Turing patterns are not met. This study analyzes pattern formation and instability in layered flow systems.

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Area of Science:

  • Chemical kinetics
  • Fluid dynamics
  • Pattern formation

Background:

  • Turing patterns typically require higher inhibitor diffusivity than activator diffusivity.
  • Homogeneous steady states in reaction-diffusion-advection systems can become unstable under shear flow.
  • Instability in these systems can lead to the formation of complex chemical patterns.

Purpose of the Study:

  • To investigate chemical pattern formation in reaction-diffusion-advection systems influenced by shear flow.
  • To analyze the instability of homogeneous states in layered systems with relative motion.
  • To understand the role of shear flow in Turing pattern formation.

Main Methods:

  • Linear stability analysis to determine the onset of instability.
  • Numerical solution of nonlinear reaction-diffusion-advection equations.
  • Analysis of pattern formation using Taylor dispersion theory.

Main Results:

  • Identified instability onset as a function of relative layer speed.
  • Observed stationary, oscillatory, and drifting chemical patterns.
  • Discovered bistability regions enabling localized structure formation.

Conclusions:

  • Shear flow can induce chemical pattern formation beyond standard Turing conditions.
  • Layered flow systems exhibit diverse pattern dynamics including localized structures.
  • Taylor dispersion provides a framework for understanding shear-induced instabilities.