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A thermodynamically consistent Johnson–Segalman–Giesekus model: numerical simulation of the rod climbing effect

Abstract:
Viscoelastic rate-type fluids represent a popular class of non-Newtonian fluid models due to their ability to describe phenomena such as stress relaxation, non-linear creep, and normal stress differences. The presence of normal stress differences in a simple shear flow gives rise to forces acting in directions orthogonal to the primary flow direction. The rod climbing effect, i.e. the rise of a fluid along a rod rotating about its axis, is associated with this phenomenon. Within the class of viscoelastic rate-type fluids that includes the Oldroyd-B and Giesekus models with Gordon–Schowalter convected derivatives, we show—by means of thermodynamical analysis and numerical simulations—that a thermodynamically consistent variant of the Johnson–Segalman model captures experimental data exceedingly well and emerges as the preferred model within this class, including the standard Johnson–Segalman model, which is widely used in engineering applications but is shown here to be incompatible with the second law of thermodynamics. We release a robust and computationally efficient higher-order finite-element implementation as open-source software on GitHub. The implementation is based on an arbitrary Lagrangian–Eulerian (ALE) formulation of the governing equations and is developed using the Firedrake library.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.apples.2026.100315

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-1241-7060


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Funder identifier:
https://ror.org/024d6js02
Grant:
UNCE/24/SCI/005
Programme:
Czech Republic program
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Funder identifier:
https://ror.org/01pv73b02
Grant:
23-05207S
More from this funder
Funder identifier:
https://ror.org/03zttf063
Grant:
Z2021-06594
More from this funder
Funder identifier:
https://ror.org/057g20z61
Grant:
UKRI/ST/B000495/1
UKRI495
More from this funder
Funder identifier:
https://ror.org/037n8p820
Grant:
131124


Publisher:
Elsevier
Journal:
Applications in Engineering Science More from this journal
Volume:
26
Article number:
100315
Publication date:
2026-03-16
DOI:
ISSN:
2666-4968


Language:
English
Keywords:
Pubs id:
2397373
Local pid:
pubs:2397373
Source identifiers:
W7136940994
Deposit date:
2026-04-03
ARK identifier:

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