Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

649
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
649
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

917
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.
917
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

1.3K
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,...
1.3K
Viscosity of Fluid01:19

Viscosity of Fluid

1.4K
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.
1.4K
Poiseuille's Law and Reynolds Number01:10

Poiseuille's Law and Reynolds Number

9.6K
Any fluid in a horizontal tube can flow due to pressure differences—fluid flows from high to low pressure. The flow rate (Q) is the ratio of pressure difference and resistance through a horizontal tube. The greater the pressure difference, the higher the flow rate. The flow resistance is expressed as:
9.6K
Pressure Variation in a Fluid at Rest01:11

Pressure Variation in a Fluid at Rest

892
In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
892

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Acanthamoeba keratitis: Insights into diagnostic challenges and treatment advances.

Survey of ophthalmology·2026
Same author

Microencapsulated Alkane Wax Melting: Measured by <sup>1</sup>H NMR Relaxometry and Diffusometry.

Magnetic resonance in chemistry : MRC·2026
Same author

From interface dynamics to Darcy scale description of multiphase flow in porous media.

Advances in colloid and interface science·2026
Same author

Extraction-Free Scalable Sample Preparation for the Rapid Detection of HIV in Blood Plasma.

Analytical chemistry·2026
Same author

A droplet microfluidics-based platform for generating target-specific, natively-paired immune libraries and identifying potent and developable antibodies.

Scientific reports·2026
Same author

Leveraging Retrieval-Augmented Generation to Accelerate Discoveries on Mealworm Larvae and Plastic Degradation.

Environmental science & technology·2025

Related Experiment Video

Updated: Feb 25, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.5K

Effective Rheology of Two-Phase Flow in Three-Dimensional Porous Media: Experiment and Simulation.

Santanu Sinha1, Andrew T Bender2, Matthew Danczyk2

  • 1Beijing Computational Science Research Center, 10 East Xibeiwang Road, Haidian District, Beijing, 100193 China.

Transport in Porous Media
|August 11, 2017
PubMed
Summary

This study investigates two-phase flow in porous media. At low flow rates, fluids behave like Bingham viscoplastic fluids, showing a yield threshold, while higher rates result in Newtonian flow.

Keywords:
Dynamical pore network modelReconstructed porous mediaSteady-state two-phase flowTwo-phase flow experiment

More Related Videos

Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders
06:01

Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders

Published on: October 4, 2022

1.7K
A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
10:33

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

Published on: February 23, 2018

26.2K

Related Experiment Videos

Last Updated: Feb 25, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.5K
Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders
06:01

Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders

Published on: October 4, 2022

1.7K
A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
10:33

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

Published on: February 23, 2018

26.2K

Area of Science:

  • Fluid Dynamics
  • Porous Media Physics
  • Rheology

Background:

  • Understanding two-phase flow in porous media is crucial for various applications, including oil recovery and groundwater contamination.
  • The interplay between capillary and viscous forces significantly influences fluid distribution and transport.

Purpose of the Study:

  • To investigate the relationship between volumetric flow rate (Q) and pressure difference in three-dimensional (3D) porous media for immiscible Newtonian fluids.
  • To identify flow regimes and characterize fluid behavior under varying capillary and viscous force competition.

Main Methods:

  • Experimental study using a model porous medium (glass beads) with deionized water and air.
  • Numerical simulation using reconstructed 3D pore networks from real core samples.
  • Modeling fluid interface transport over time.

Main Results:

  • A yield threshold, similar to Bingham viscoplastic fluids, emerges when capillary forces compete with viscous forces.
  • In this regime, flow rate (Q) exhibits a quadratic dependence on the excess pressure drop.
  • At higher flow rates, a transition to Newtonian flow occurs, characterized by a linear relationship between Q and pressure drop.

Conclusions:

  • The study reveals distinct flow regimes in 3D porous media based on the balance of capillary and viscous forces.
  • Experimental and numerical findings align, validating the proposed flow behavior models.
  • Results are consistent with existing mean-field theories for two-phase flow in porous media.