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

Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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.
Fluid Mosaic Model01:34

Fluid Mosaic Model

The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.LipidsThe most...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Euler's Equations of Motion01:28

Euler's Equations of Motion

In fluid mechanics, shear stresses arise from viscosity, which represents a fluid's internal resistance to deformation. For low-viscosity fluids, like water, these stresses are minimal, simplifying flow analysis by allowing the fluid to be treated as inviscid, or frictionless. In an inviscid fluid, shear stresses are absent, leaving only normal stresses, which act perpendicularly to fluid elements. Notably, pressure — defined as the negative of the normal stress — remains uniform across...
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...

You might also read

Related Articles

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

Sort by
Same author

Directional motion of a self-steering active intruder in a dense crowd of cognitive active agents.

Scientific reports·2026
Same author

Rosette margination in blood flow during malaria pathogenesis.

Biophysical journal·2025
Same author

Reversible formation of von-Willebrand-factor-platelet aggregates in microvascular blood flow.

PNAS nexus·2025
Same author

Tunable colloidal swarmalators with hydrodynamic coupling.

Nature communications·2025
Same author

Wrapping of Nano- and Microgels by Lipid-Bilayer Membranes.

ACS macro letters·2025
Same author

Run-and-tumble dynamics of <i>Escherichia coli</i> is governed by its mechanical properties.

Journal of the Royal Society, Interface·2025

Related Experiment Video

Updated: Jul 5, 2026

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
10:28

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids

Published on: January 3, 2014

Multiparticle collision dynamics modeling of viscoelastic fluids.

Yu-Guo Tao1, Ingo O Götze, Gerhard Gompper

  • 1Theoretical Soft Matter and Biophysics Group, Institut für Festkörperforschung, Forschungszentrum Jülich, D-52425 Jülich, Germany. ytao@chem.utoronto.ca

The Journal of Chemical Physics
|April 17, 2008
PubMed
Summary
This summary is machine-generated.

A new multiparticle collision (MPC) dynamics model efficiently simulates viscoelastic fluids. This model reveals boundary layers and predicts fluid behavior consistent with Maxwell fluids.

More Related Videos

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

Related Experiment Videos

Last Updated: Jul 5, 2026

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
10:28

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids

Published on: January 3, 2014

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

Area of Science:

  • Mesoscopic hydrodynamics
  • Computational fluid dynamics
  • Rheology of complex fluids

Background:

  • Investigating viscoelastic fluid rheology is crucial for understanding complex fluid behavior.
  • Mesoscopic hydrodynamic methods offer a bridge between microscopic and macroscopic fluid descriptions.
  • Existing models may lack computational efficiency or the ability to capture specific viscoelastic phenomena.

Purpose of the Study:

  • To develop an efficient multiparticle collision (MPC) dynamics model for simulating viscoelastic fluids composed of harmonic dumbbells.
  • To investigate the rheological properties of these fluids under steady and oscillatory shear flows.
  • To analyze the impact of fluid parameters and wall interactions on flow behavior.

Main Methods:

  • Development of a novel MPC algorithm incorporating harmonic dumbbell interactions for analytical streaming steps.
  • Simulation of fluids confined between oppositely moving walls to induce steady and oscillatory shear.
  • Application of attractive wall potentials to maintain uniform fluid density.
  • Calculation of rheological properties including zero-shear viscosity, storage, and loss moduli.

Main Results:

  • A boundary layer with an elevated velocity gradient forms near walls, with thickness proportional to dumbbell size.
  • Zero-shear viscosity was determined as a function of spring constant and mean free path.
  • Weak shear thickening behavior was observed at very high shear rates.
  • Storage and loss moduli indicate viscoelastic properties consistent with a Maxwell fluid at low to moderate frequencies.

Conclusions:

  • The developed MPC model is computationally efficient for simulating viscoelastic fluids.
  • The model accurately captures boundary layer formation and predicts viscoelastic behavior comparable to kinetic theory and Maxwell models.