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...
Control Volume and System Representations01:16

Control Volume and System Representations

Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water flowing...
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Major Losses in Pipes01:28

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...

You might also read

Related Articles

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

Sort by
Same author

Dispersions of weakly charged thermoresponsive microgels at high densities.

Soft matter·2025
Same author

A compact frozen-spin trap for the search for the electric dipole moment of the muon.

The European physical journal. C, Particles and fields·2025
Same author

Modeling Frequency Dependent Ultrasound Attenuation in Cortical Bone: Solving Direct and Inverse Problems.

IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium·2025
Same author

Imaging of hypoglossal palsy: a pictorial synopsis.

Clinical radiology·2024
Same author

Inferring porosity from frequency dependent attenuation in cortical bone mimicking porous media.

IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium·2024
Same author

Using ultrasonic attenuation in cortical bone to infer distributions on pore size.

Applied mathematical modelling·2024

Related Experiment Video

Updated: May 16, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Fundamental issues in fluid modeling: direct substitution and aliasing methods.

R E Robson1, P Nicoletopoulos, M Hildebrandt

  • 1Centre for Antimatter-Matter Studies, James Cook University, Townsville 4811, Australia.

The Journal of Chemical Physics
|December 13, 2012
PubMed
Summary

Fluid models for charged particles in gases are improved by directly using swarm transport coefficients. This method enhances accuracy and allows estimation of unknown particle mobility data, like for muons in hydrogen.

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Related Experiment Videos

Last Updated: May 16, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

Area of Science:

  • Plasma Physics
  • Atomic and Molecular Physics
  • Computational Physics

Background:

  • Fluid models are essential for simulating charged particle behavior in gases.
  • Current fluid models often rely on cross-section data, which can limit accuracy.
  • Accurate transport coefficients are crucial for understanding plasma dynamics.

Purpose of the Study:

  • To enhance the accuracy of fluid models for charged particles in gases.
  • To introduce a direct substitution method for swarm transport coefficient data.
  • To develop a novel aliasing method for estimating unknown particle mobility data.

Main Methods:

  • Directly substituting swarm transport coefficient data into fluid model collision terms.
  • Utilizing a fluid formulation where the mean energy role is transparent for any charged particle mass.
  • Developing an aliasing method to infer mobility data for one particle type from another.

Main Results:

  • Significant improvement in the accuracy of fluid models was achieved.
  • The direct substitution method requires no further approximations.
  • Numerical examples for electrons, including E/N values for a Franck-Hertz experiment, were successfully reproduced.
  • The aliasing method effectively estimated unknown mobility data, demonstrated for muons in hydrogen using proton data.

Conclusions:

  • Direct substitution of swarm transport coefficients offers a more accurate approach for fluid models.
  • The developed fluid formulation and aliasing method provide versatile tools for plasma simulations.
  • This work advances the understanding and modeling of charged particle transport in gases.