Pattern formation in coiling of falling viscous threads: Revisiting the geometric model

A flowing viscous thread in contact with a moving platform forms intricate patterns. The shape of these patterns depends on the fall height and the platform's speed. At moderate fall heights, these patterns can be reproduced using a model based on the no-slip condition and the curvature of the thread at the contact point. We re-examine these patterns experimentally and revisit the model computationally. We discover new patterns in both cases, highlighting the presence of greater complexity within the phenomenon than known previously.

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Publication Details

Journal
Physical Review Fluids
Published
2025-02-05
DOI
https://doi.org/10.1103/physrevfluids.10.023901
Citations
1
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.67

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article

Pattern formation in coiling of falling viscous threads: Revisiting the geometric model

Behrooz Yousefzadeh, Ida Karimfazli, Wuifung Sze, Eusebius J. Doedel
1 citations
Physical Review Fluids
Soft Robotics and Applications
0.67
article

Pattern formation in coiling of falling viscous threads: Revisiting the geometric model

Behrooz Yousefzadeh, Ida Karimfazli, Wuifung Sze, Eusebius J. Doedel
article en
1 citations

Abstract

A flowing viscous thread in contact with a moving platform forms intricate patterns. The shape of these patterns depends on the fall height and the platform's speed. At moderate fall heights, these patterns can be reproduced using a model based on the no-slip condition and the curvature of the thread at the contact point. We re-examine these patterns experimentally and revisit the model computationally. We discover new patterns in both cases, highlighting the presence of greater complexity within the phenomenon than known previously.

Physical Review FluidsVol. 10(2)
Concordia University (CA)
University of Cambridge, University of Auckland, Natural Sciences and Engineering Research Council of Canada
Climate action
Openalex Percentile: Top 35%
Soft Robotics and Applications
0.67
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