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Related Concept Videos

Couette Flow01:22

Couette Flow

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...
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,...
Plane Potential Flows01:23

Plane Potential Flows

Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform Flow
Uniform flow...
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

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...
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...

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Related Experiment Video

Updated: Jun 2, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

From temporal to spatiotemporal dynamics in transitional plane Couette flow.

Jimmy Philip1, Paul Manneville

  • 1Laboratoire d'Hydrodynamique, Ecole Polytechnique, 91128 Palaiseau, France.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 27, 2011
PubMed
Summary

Turbulence in plane Couette flow transitions from temporal to spatiotemporal behavior as system size increases. Large systems exhibit oblique patterns, while smaller ones show chaotic transients before laminar flow.

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Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

Related Experiment Videos

Last Updated: Jun 2, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

Area of Science:

  • Fluid dynamics
  • Turbulence theory
  • Computational physics

Background:

  • Plane Couette flow (PCF) exhibits laminar-turbulent patterns at varying Reynolds numbers.
  • Previous studies often used small-aspect-ratio systems with periodic boundary conditions, unlike experimental large-aspect-ratio setups.

Purpose of the Study:

  • To investigate the transition from temporal to spatiotemporal behavior in PCF using direct numerical simulations.
  • To identify the critical system size influencing this transition and the nature of observed patterns.

Main Methods:

  • Fully resolved direct numerical simulations of Navier-Stokes equations at decreasing Reynolds numbers.
  • Analysis of flow behavior in systems of intermediate sizes to bridge temporal and spatiotemporal regimes.

Main Results:

  • A streamwise crossover size (Lx ~70-80h) was identified, distinguishing temporal and spatiotemporal transitions.
  • Above this size, transitions involve oblique patterns (turbulent→riddled→oblique pattern→laminar).
  • Below this size, transitions are temporal (chaotic flow→laminar flow via chaotic transients), skipping the oblique pattern stage.

Conclusions:

  • The transition to or from turbulence in PCF is fundamentally spatiotemporal for large enough systems.
  • Accurate modeling of experimental patterns requires accounting for streamwise correlations at scales around the crossover size.