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

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.
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

You might also read

Related Articles

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

Sort by
Same author

Analysis of fibrinolytic shutdown in trauma patients with traumatic brain injury.

American journal of surgery·2023
Same author

Radium radioactivity in soil profiles following long term irrigation with high radioactivity fossil groundwater.

Journal of environmental radioactivity·2022
Same author

Ten-year survival and seven-year functional results of cementless Oxford unicompartmental knee replacement: A prospective consecutive series of our first 1000 cases.

The Knee·2018
Same author

[Superior canal dehiscence syndrome : Diagnosis with vestibular evoked myogenic potentials and fremitus nystagmus. German version].

HNO·2018
Same author

Superior canal dehiscence syndrome : Diagnosis with vestibular evoked myogenic potentials and fremitus nystagmus.

HNO·2017
Same author

Does Renal Tubular Injury-Induced Local Tissue Hypoxia Involve Post-Transplantation Erythrocytosis?

Transplantation proceedings·2017

Related Experiment Video

Updated: May 21, 2026

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
07:31

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies

Published on: September 1, 2023

Computer simulations of particle-bubble interactions and particle sliding using Discrete Element Method.

R Maxwell1, S Ata, E J Wanless

  • 1Centre for Advanced Particle Processing and Transport, School of Engineering, University of Newcastle, Callaghan, NSW 2308, Australia.

Journal of Colloid and Interface Science
|June 22, 2012
PubMed
Summary

Computer simulations reveal how particles collide with and slide on bubbles. Hydrophobic interactions influence collision times, showing minimal particle size sensitivity.

More Related Videos

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Related Experiment Videos

Last Updated: May 21, 2026

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
07:31

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies

Published on: September 1, 2023

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Area of Science:

  • Computational physics
  • Colloid and surface science
  • Chemical engineering

Background:

  • Particle-bubble interactions are crucial in processes like flotation and aerosol formation.
  • Understanding the dynamics of multiple particles interacting with a bubble surface is complex.
  • Previous studies often focused on single particles or lacked detailed kinetic analysis.

Purpose of the Study:

  • To computationally analyze the collision kinetics of multiple particles with a stationary bubble.
  • To investigate the sliding behavior and packing arrangements of particles on a bubble surface.
  • To explore the influence of hydrophobic interactions and particle size on collision dynamics.

Main Methods:

  • Three-dimensional Discrete Element Method (DEM) computer simulations were employed.
  • Simulations analyzed monodisperse and polydisperse particle systems (radii 12-33 μm).
  • Collision times (10%, 50%, 100%) and sliding times were quantified.

Main Results:

  • Collision times exhibited power-law dependencies on hydrophobic interaction strength.
  • Minimal sensitivity of collision times to particle size was observed under specific force relationships.
  • Simulated particle packing qualitatively matched experimental observations.

Conclusions:

  • DEM simulations provide a valuable tool for studying particle-bubble systems.
  • Hydrophobic interactions are key drivers of particle collision kinetics.
  • The study offers insights into the complex dynamics of multiparticle interactions with bubbles.