Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912497152294912 |
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| author | Clavaud, Cécile Singh, Abhinendra |
| author_facet | Clavaud, Cécile Singh, Abhinendra |
| contents | In this article, we provide a brief perspective on recent developments in the study of shear thickening in dense suspensions. We give a rapid overview of the state of the art and discuss current models aiming to describe this particular rheology. Although most of the experiments and simulation studies are conducted in "ideal" flows, where the sample is confined without an open boundary condition, we have decided to highlight more realistic flow conditions. We further provide an overview on how to relate the recently proposed constitutive models to these more practical flow conditions like pipe flow or flow down an incline. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_11951 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions Clavaud, Cécile Singh, Abhinendra Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Fluid Dynamics Geophysics In this article, we provide a brief perspective on recent developments in the study of shear thickening in dense suspensions. We give a rapid overview of the state of the art and discuss current models aiming to describe this particular rheology. Although most of the experiments and simulation studies are conducted in "ideal" flows, where the sample is confined without an open boundary condition, we have decided to highlight more realistic flow conditions. We further provide an overview on how to relate the recently proposed constitutive models to these more practical flow conditions like pipe flow or flow down an incline. |
| title | Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions |
| topic | Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Fluid Dynamics Geophysics |
| url | https://arxiv.org/abs/2506.11951 |