Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Capillarity in Fluid

Capillarity in Fluid

Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
Surface tension is crucial to capillarity. It results from cohesive forces between liquid molecules at the liquid-air boundary, forming a skin that resists external forces. When the capillary tube...

Major Losses in Pipes

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...

Design Example: Flow of Oil Through Circular Pipes

Design Example: Flow of Oil Through Circular Pipes

Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired volumetric...

Characteristics of Fluids

Characteristics of Fluids

When a force is applied parallel to the top surface of a solid, it resists the applied force due to the internal frictional forces between the layers of the solid known as shearing resistance. However, when the force is removed, the shearing forces restore the original shape of the solid. Other deformation forces also cause temporary changes in shape if the forces are not beyond a threshold magnitude. Solids tend to retain their shape, making the study of their rest and motion easier. Beyond...

Characteristics of Fluids

Characteristics of Fluids

Fluids differ from solids primarily in their molecular structure and stress response. Solids have tightly packed molecules with strong intermolecular forces, maintaining their shape and resisting deformation. In contrast, fluids have molecules spaced farther apart with weaker forces, allowing them to flow and deform easily.
Fluids, which include both liquids and gases, are substances that deform continuously under shearing stress. For example, water and oil are liquids with molecules that can...

Poiseuille's Law and Reynolds Number

Poiseuille's Law and Reynolds Number

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:

You might also read

Related Articles

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

Sort by

Same author

Anomalous thermodynamic properties of water: What is wrong and/or missing in SAFT equations?

The Journal of chemical physics·2026

Same author

Supercooled water in two dimensions: Structure and thermodynamics of the Mercedes-Benz model.

Journal of molecular liquids·2023

Same author

Integral equation theory for mixtures of spherical and patchy colloids. 2. Numerical results.

Soft matter·2021

Same author

Technique of Gene Expression Profiles Extraction Based on the Complex Use of Clustering and Classification Methods.

Diagnostics (Basel, Switzerland)·2020

Same author

Integral equation theory for a mixture of spherical and patchy colloids: analytical description.

Soft matter·2020

Same author

Molecular simulation of caloric properties of fluids modelled by force fields with intramolecular contributions: Application to heat capacities.

The Journal of chemical physics·2017

Search research articles

Related Experiment Video

Updated: Jun 22, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Percolation threshold parameters of fluids.

Jirí Skvor¹, Ivo Nezbeda

¹Faculty of Science, J. E. Purkinje University, 400 96 Ustí nad Labem, Czech Republic. jskvor@physics.ujep.cz

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|June 13, 2009

Summary

This study explores percolation in supercritical fluids using Monte Carlo simulations. Key parameters like correlation length show temperature and system-dependent behavior, differing from lattice models.

Area of Science:

Computational physics
Statistical mechanics
Fluid dynamics

Background:

Percolation theory describes the formation of connected clusters in random systems.
Supercritical fluids exhibit unique properties relevant to phase transitions and transport phenomena.
Understanding percolation in continuum models is crucial for diverse scientific applications.

Purpose of the Study:

To investigate percolation threshold parameters in continuum models of supercritical fluids.
To compare these parameters with those obtained from lattice percolation models.
To analyze the influence of temperature, system type, and cluster definition on percolation behavior.

Main Methods:

Extensive Monte Carlo simulations were performed on three distinct supercritical fluid models: square-well fluid, Lennard-Jonesium, and primitive water.

More Related Videos

The Diffusion of Passive Tracers in Laminar Shear Flow

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

Related Experiment Videos

Last Updated: Jun 22, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

The Diffusion of Passive Tracers in Laminar Shear Flow

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

A random-site percolation simple-cubic lattice model was also considered for comparison.

Two bond criteria (configurational and self-bound) were employed to define clusters.

Main Results:

Percolation threshold occupation probability (pc) and fluid density (rhoc) were evaluated.
Correlation length exponent (nu) and wrapping probability at threshold (Rw,c) were determined.
Unlike lattice systems, nu and Rw,c demonstrated significant temperature dependence and sensitivity to the system's nature and cluster definition.

Conclusions:

Percolation in supercritical fluids is more complex than in lattice models, exhibiting system-specific and definition-dependent characteristics.
The temperature dependence of correlation length and wrapping probability highlights the unique behavior of continuum percolation.
Findings provide insights into phase transitions and connectivity in supercritical systems.