Tracking non-spherical particle position and orientation

Knud Erik Meyer*, Marcus Brown Engsig, Tobias Andie Thiesen, Christian Lundgaard

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

A new method for tracking both position and orientation of non-spherical particles under free-fall conditions in water has been developed. The particles are recorded with background illumination in a water tank. Two cameras with 90◦ between camera axes allow for stereoscopic reconstruction. The implementation is done in Python using the toolbox OpenCV (Open Computer Vision). Contours around each particle image are determined. The contours are compared to back-projected contours from a three-dimensional model of the particle that is rotated to different orientations to find the best match. The method is tested on three cuboid shapes: a cube, a short rod with a square cross section and a rectangular flat cuboid. The latter falls with periodic oscillations while the two first show more advanced dynamics. Reynolds number based on terminal velocity of the particle is in the order of 250. It is also shown that a particle falling in the wake of another particle can get a significant change in terminal velocity and rotational dynamics
Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Particle Image Velocimetry – ISPIV 2023
Number of pages8
PublisherInternational Symposium on Particle Image Velocimetry
Publication date2023
Publication statusPublished - 2023
Event15th International Symposium on Particle Image Velocimetry - San Diego State University, San Diego, United States
Duration: 19 Jun 202321 Jun 2023
Conference number: 15
https://piv.sdsu.edu/

Conference

Conference15th International Symposium on Particle Image Velocimetry
Number15
LocationSan Diego State University
Country/TerritoryUnited States
CitySan Diego
Period19/06/202321/06/2023
Internet address

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