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

Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

116
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.
116
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

135
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...
135
Couette Flow01:22

Couette Flow

173
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...
173
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

58
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
58
Poiseuille's Law and Reynolds Number01:10

Poiseuille's Law and Reynolds Number

6.2K
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:
6.2K
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

3.8K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
3.8K

You might also read

Related Articles

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

Sort by
Same author

Synthesis, Characterization, and Magnetic Properties of Fe(BIP)<sub>3</sub>, a Novel Paramagnetic Relaxation Agent.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

Thermo-osmotic flows in closed channels.

The Journal of chemical physics·2026
Same author

Simultaneous Dynamic Light Scattering, Absorbance and Photoluminescence Measurements of Colloidal Nanoparticles. Application to Colloidal Stability and Aggregation Kinetics of CsPbBr<sub>3</sub> Nanocrystals.

Small methods·2025
Same author

Atomistic Insights into Halide Double Perovskite Nanocrystals obtained by Multistep Synthesis and Efficient Compositional Engineering.

ACS nano·2025
Same author

Polyfluorinated Naphthalene-bis-hydrazimide for Solution-Grown n-Type Semiconducting Films.

ACS omega·2023
Same author

Site-occupancy factors in the Debye scattering equation. A theoretical discussion on significance and correctness.

Acta crystallographica. Section A, Foundations and advances·2023

Related Experiment Video

Updated: May 24, 2025

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature
08:04

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature

Published on: November 26, 2019

7.1K

Temperature-driven flows in nanochannels: Theory and simulations.

Pietro Anzini1,2, Zeno Filiberti1, Alberto Parola1,2

  • 1Dipartimento di Scienza e Alta Tecnologia, Università degli Studi dell'Insubria, Via Valleggio 11, 22100 Como, Italy.

The Journal of Chemical Physics
|March 3, 2025
PubMed
Summary
This summary is machine-generated.

Thermo-osmosis, fluid motion driven by temperature gradients near surfaces, is explained by pressure gradients. This study provides a theoretical solution and validates it with molecular dynamics simulations.

More Related Videos

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions
08:41

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

Published on: September 7, 2018

8.8K
Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
08:32

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

2.3K

Related Experiment Videos

Last Updated: May 24, 2025

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature
08:04

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature

Published on: November 26, 2019

7.1K
Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions
08:41

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

Published on: September 7, 2018

8.8K
Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
08:32

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

2.3K

Area of Science:

  • Fluid Dynamics
  • Thermodynamics
  • Statistical Mechanics

Background:

  • Thermo-osmosis describes fluid motion driven by thermal gradients without external forces.
  • The phenomenon arises from tangential pressure gradients near confining surfaces.
  • Previous work elucidated its microscopic origins using linear response theory.

Purpose of the Study:

  • To provide an explicit theoretical solution for thermo-osmotic fluid flow in slab geometry.
  • To derive a simple expression for the pressure gradient using equilibrium properties.
  • To validate theoretical predictions through extensive nonequilibrium molecular dynamics simulations.

Main Methods:

  • Utilized conservation laws to solve stationary fluid flow equations.
  • Expressed the thermo-osmotic coefficient as a mass-heat current correlation function.
  • Performed 2D nonequilibrium molecular dynamics simulations with varying wall-particle interactions.

Main Results:

  • Derived an explicit solution for the thermo-osmotic coefficient.
  • Obtained a simple expression for the pressure gradient in terms of equilibrium properties.
  • Simulations showed good agreement with theoretical predictions for pressure drop and velocity profiles in both liquid and gas regimes.

Conclusions:

  • The theoretical framework accurately describes thermo-osmotic phenomena.
  • The derived correlation function provides a microscopic link to macroscopic transport coefficients.
  • Molecular dynamics simulations confirm the validity of the theoretical approach across different fluid states.