Theoretical and Natural Science

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Theoretical and Natural Science

Vol. 10, 17 November 2023

Open Access | Article

Particle motion in Taylor-Couette flow experiments

Zimo Wang 1 , Chang Liu * 2
1 Shanghai World Foreign Language Middle School
2 University of California

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 10, 21-40
Published 17 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zimo Wang, Chang Liu. Particle motion in Taylor-Couette flow experiments. TNS (2023) Vol. 10: 21-40. DOI: 10.54254/2753-8818/10/20230305.


This work investigates particle transportation Taylor-Couette Flow (TCF) experiments. We designed and built up the experimental set-up and then did two groups of experiments (S1 and S2). Small radius ratio (η) experiments (S1) focuses on the settling time t_set of a particle, which increases when Reynolds number (R) increases. The settling time within Taylor-Couette flow is larger than that in the still water due to horizontal motion of particle. To further understand the underlying flow mechanism of this increased t_set, we designed the large η experiments (S2), which identify Taylor vortices (TVF) and spiral vortices (SPI) that trap the particle and thus increase t_set. In addition, linear stability analysis also predicts the wavelength of flow structures in the same order of experimental observation, although some deviation exists.


Taylor-Couette Flow, Particle Transportation, Linear Stability Analysis


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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
ISBN (Print)
ISBN (Online)
Published Date
17 November 2023
Theoretical and Natural Science
ISSN (Print)
ISSN (Online)
17 November 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

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