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Related Concept Videos

Turbulent Flow01:24

Turbulent Flow

Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent spots,...
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Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the streamlines...
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Magnetically Induced Rotating Rayleigh-Taylor Instability
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Macro-instability: a chaotic flow component in stirred tanks.

Pavel Hasal1, Milan Jahoda, Ivan Fort

  • 1Department of Chemical Engineering, Institute of Chemical Technology, 166 28 Prague 6, Czech Republic. pavel.hasal@vscht.cz

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 4, 2007
PubMed
Summary

This study analyzes chaotic macro-instability (MI) in stirred tanks using fluid velocity and force data. Key findings reveal how impeller speed and geometry influence MI dynamics, with distinct spatial variations observed for the maximum Lyapunov exponent.

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Area of Science:

  • Fluid Dynamics
  • Nonlinear Dynamics
  • Chemical Engineering

Background:

  • Stirred tanks are crucial in chemical processes.
  • Understanding flow instabilities is key to process optimization.
  • Chaotic dynamics in macro-instability (MI) require further investigation.

Purpose of the Study:

  • To investigate the chaotic features of macro-instability (MI) in stirred tank flow patterns.
  • To analyze the influence of operational conditions and geometry on MI dynamics.
  • To identify methods for locating regions with distinct MI dynamics.

Main Methods:

  • Spectral analysis to detect MI components.
  • Proper Orthogonal Decomposition (POD) to identify MI.
  • Reconstruction of attractors using POD eigenmodes or delay methods.
  • Evaluation of attractor invariants: correlation dimension and maximum Lyapunov exponent.

Main Results:

  • MI components were identified in fluid velocity and baffle force data.
  • Correlation dimension was insensitive to spatial location but influenced by impeller speed and geometry.
  • Maximum Lyapunov exponent showed significant spatial distribution and positive values, indicating chaotic behavior.
  • No significant spatial variability of the correlation dimension was observed.

Conclusions:

  • The correlation dimension and maximum Lyapunov exponent can characterize MI in stirred tanks.
  • These invariants can be used to pinpoint regions with different MI dynamics.
  • Impeller speed and vessel-impeller geometry are critical factors affecting MI.