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Related Concept Videos

Viscosity of Fluid01:19

Viscosity of Fluid

Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely axial,...
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...
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...
Accelerating Fluids01:17

Accelerating Fluids

When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:

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Viscoelastic flow simulations through an array of cylinders.

J J J Gillissen1

  • 1Department of Chemical Engineering, Delft University of Technology, Julianalaan 136, 2628 BL Delft, The Netherlands.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 19, 2013
PubMed
Summary

This study numerically models polymer solution flow in porous media, revealing nonmonotonic effective viscosity behavior. An analytical model accurately predicts these findings, particularly for large Weissenberg numbers.

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Area of Science:

  • Fluid dynamics
  • Polymer physics
  • Computational science

Background:

  • Understanding non-Newtonian fluid flow in porous media is crucial for applications like enhanced oil recovery and microfluidics.
  • Polymer solutions exhibit complex rheological behaviors, including shear-thinning and viscoelasticity, which significantly alter flow dynamics.

Purpose of the Study:

  • To numerically investigate the flow of polymer solutions through a model porous medium.
  • To analyze the nonmonotonic relationship between effective viscosity and the Weissenberg number.
  • To develop and validate an analytical model for polymer flow in porous media.

Main Methods:

  • Lattice Boltzmann method for simulating fluid flow.
  • Modeling polymers as finitely extensible, nonlinear, elastic dumbbells.
  • Developing an analytical model using rod approximations and flow field superposition.

Main Results:

  • Simulated effective viscosity shows nonmonotonic dependence on the Weissenberg number, aligning with experimental data.
  • The analytical model accurately reproduces simulated effective viscosity as a function of polymer extensibility for large Weissenberg numbers.

Conclusions:

  • The numerical and analytical models provide valuable insights into polymer solution flow in porous media.
  • The study highlights the importance of polymer elasticity and extensibility in determining effective viscosity.
  • Findings contribute to the fundamental understanding of non-Newtonian fluid behavior in complex geometries.