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Related Experiment Video

Updated: May 28, 2026

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

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

Published on: April 23, 2018

Two-dimensional time-dependent vortex regions based on the acceleration magnitude.

Jens Kasten¹, Jan Reininghaus, Ingrid Hotz

¹Zuse Institute Berlin. kasten@zib.de

IEEE Transactions on Visualization and Computer Graphics

|October 29, 2011

Summary

Researchers identified vortex boundaries in fluid flows using acceleration minima and ridges. This parameter-free method robustly extracts and tracks vortex structures, advancing flow field analysis.

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Last Updated: May 28, 2026

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

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Area of Science:

Fluid dynamics
Computational physics
Mathematical modeling

Background:

Acceleration is key to understanding particle motion in flow fields.
Minima in acceleration magnitude reveal characteristic flow structures like saddles and vortices.
Vortices are crucial but challenging to define and track in complex flows.

Purpose of the Study:

To develop a parameter-free method for defining and extracting vortex boundaries.
To enable robust identification and temporal tracking of vortex evolution.
To compare the proposed method with existing vortex definition techniques.

Main Methods:

Analyzing acceleration magnitude minima to identify vortex cores.
Utilizing pronounced ridges surrounding minima to define vortex boundaries.
Employing scalar field topology for robust boundary extraction.
Implementing an efficient tracking algorithm for temporal evolution analysis.

Main Results:

Vortex-like minima are consistently enclosed by pronounced ridges.
A parameter-free method for defining arbitrary vortex boundaries was successfully designed.
The algorithm robustly extracts and tracks vortex regions.
The method was validated using various vortex models and 2D computational fluid dynamics systems.

Conclusions:

The proposed method offers a novel, parameter-free approach to vortex identification and tracking.
Scalar field topology provides a robust foundation for defining vortex boundaries.
This technique enhances the analysis of fluid flow structures and their dynamics.