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

Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

1.8K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
1.8K
Eulerian and Lagrangian Flow Descriptions01:22

Eulerian and Lagrangian Flow Descriptions

1.8K
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
1.8K
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

10.4K
Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the...
10.4K
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

615
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
615
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

470
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...
470
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

390
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
390

You might also read

Related Articles

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

Sort by
Same author

Visibility Optimization for Direct and Indirect Volume Rendering Using Level Set Propagation.

IEEE transactions on visualization and computer graphics·2026
Same author

Locally Adapted Reference Frame Fields using Moving Least Squares.

IEEE transactions on visualization and computer graphics·2026
Same author

Unified Smooth Vector Graphics: Modeling Gradient Meshes and Curve-Based Approaches Jointly as Poisson Problem.

IEEE transactions on visualization and computer graphics·2025
Same author

Objective Lagrangian Vortex Cores and their Visual Representations.

IEEE transactions on visualization and computer graphics·2024
Same author

Trajectory Vorticity - Computation and Visualization of Rotational Trajectory Behavior in an Objective Way.

IEEE transactions on visualization and computer graphics·2024
Same author

A Survey of Smooth Vector Graphics: Recent Advances in Repr esentation, Creation, Rasterization, and Image Vectorization.

IEEE transactions on visualization and computer graphics·2022
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Dec 26, 2025

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

Published on: April 23, 2018

11.1K

Visibility, Topology, and Inertia: New Methods in Flow Visualization.

Tobias Gunther, Jim Foley

    IEEE Computer Graphics and Applications
    |March 10, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study enhances scientific visualization by optimizing geometry visibility, improving time-dependent fluid flow analysis, and introducing new methods for visualizing finite-sized particles.

    More Related Videos

    Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
    09:58

    Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

    Published on: February 3, 2014

    8.8K
    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

    11.9K

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
    09:17

    Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

    Published on: April 23, 2018

    11.1K
    Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
    09:58

    Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

    Published on: February 3, 2014

    8.8K
    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

    11.9K

    Area of Science:

    • Scientific Visualization
    • Computer Graphics
    • Fluid Dynamics

    Background:

    • Challenges in visualizing complex geometric data.
    • Need for improved methods in time-dependent fluid flow visualization.
    • Limited visualization techniques for finite-sized particles.

    Purpose of the Study:

    • Optimize visibility of line and surface geometry.
    • Develop new methods for visualizing time-dependent fluid flows.
    • Explore finite-sized particles as an application area for flow visualization.

    Main Methods:

    • Optimization strategies for occlusion avoidance and context preservation.
    • Accurate depiction of Lagrangian scalar fields.
    • New vortex identification methods.
    • Geometry-based methods for finite-sized particles.

    Main Results:

    • Achieved balance between occlusion avoidance and context preservation.
    • Introduced novel methods for time-dependent fluid flow visualization.
    • Established finite-sized particles as a new application area.

    Conclusions:

    • Advanced scientific visualization techniques for geometric and fluid data.
    • Expanded capabilities for analyzing complex flow phenomena.
    • Provided new tools for understanding particle behavior in flows.