Lightweight Visualisation for Vortex Tracking in Airflow Acquisition

Nicolas Courilleau, Louis-Wilhelm Raban-Schürmann, Daniel Meneveaux, Kamel Abed-Meraim, Anas Sakout

2025

Abstract

Ventilation systems are spread in most buildings and housing. They provide control on air quality, while provisioning acceptable thermal conditions. However, slotted plates that direct air jets often produce acoustic disturbances with a self-sustained tone. Understanding and controlling the phenomenon requires complex experimentation with expensive setups. This article proposes an open source, web-based, interactive visualisation system dedicated to the observation and analysis of recorded high frequency captures (3kHz or more) of air streams, charged with thin oil particles. It relies on the acquired images and estimated vector fields, coming from industrial existing systems. Our goal is to visualise the main flow parameters, such as speed, gradients, directions, vortex tracking with path prediction, and vortex frequencies. The obtained results highlight interesting phenomena that illustrate sounds production. They can be employed by physicists to understand, explain, and control the generated acoustics.

Paper Citation

in Harvard Style

Courilleau N., Raban-Schürmann L., Meneveaux D., Abed-Meraim K. and Sakout A. (2025). Lightweight Visualisation for Vortex Tracking in Airflow Acquisition. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-728-3, SciTePress, pages 223-230. DOI: 10.5220/0013147400003912

in Bibtex Style

@conference{grapp25,
author={Nicolas Courilleau and Louis-Wilhelm Raban-Schürmann and Daniel Meneveaux and Kamel Abed-Meraim and Anas Sakout},
title={Lightweight Visualisation for Vortex Tracking in Airflow Acquisition},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2025},
pages={223-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013147400003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Lightweight Visualisation for Vortex Tracking in Airflow Acquisition
SN - 978-989-758-728-3
AU - Courilleau N.
AU - Raban-Schürmann L.
AU - Meneveaux D.
AU - Abed-Meraim K.
AU - Sakout A.
PY - 2025
SP - 223
EP - 230
DO - 10.5220/0013147400003912
PB - SciTePress