Dense suspensions as trainable rheological metafluids

Fuente: arXiv
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Main Authors: Kim, Hojin, Livermore, Samantha M., Rowan, Stuart J., Jaeger, Heinrich M.
Format: Preprint
Published: 2025
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author Kim, Hojin
Livermore, Samantha M.
Rowan, Stuart J.
Jaeger, Heinrich M.
author_facet Kim, Hojin
Livermore, Samantha M.
Rowan, Stuart J.
Jaeger, Heinrich M.
contents Memory-forming properties introduce a new paradigm to the design of adaptive materials. In dense suspensions, an adaptive response is enabled by non-Newtonian rheology; however, typical suspensions have little memory, which implies rapid cessation of any adapted behavior. Here we show how multiple adaptive responses can be achieved by designing suspensions where different stress levels trigger different memories. This is enabled by the interplay of interactions based on frictional contact and dynamic chemical bridging. These two interactions lead to novel rheology with several well-delineated shear thinning and thickening regimes, which enable stress-activated memories associated with opposite time-dependent trends. As a result, in response to different stress levels, the suspension can evolve by either softening or stiffening and is trainable, exhibiting targeted viscosity and energy dissipation with repeated low-velocity impact. Such behavior, usually associated with mechanical metamaterials, suggests that dense suspensions with multiple memories can be viewed as trainable rheological metafluids.
format Preprint
id arxiv_https___arxiv_org_abs_2503_09063
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dense suspensions as trainable rheological metafluids
Kim, Hojin
Livermore, Samantha M.
Rowan, Stuart J.
Jaeger, Heinrich M.
Soft Condensed Matter
Materials Science
Memory-forming properties introduce a new paradigm to the design of adaptive materials. In dense suspensions, an adaptive response is enabled by non-Newtonian rheology; however, typical suspensions have little memory, which implies rapid cessation of any adapted behavior. Here we show how multiple adaptive responses can be achieved by designing suspensions where different stress levels trigger different memories. This is enabled by the interplay of interactions based on frictional contact and dynamic chemical bridging. These two interactions lead to novel rheology with several well-delineated shear thinning and thickening regimes, which enable stress-activated memories associated with opposite time-dependent trends. As a result, in response to different stress levels, the suspension can evolve by either softening or stiffening and is trainable, exhibiting targeted viscosity and energy dissipation with repeated low-velocity impact. Such behavior, usually associated with mechanical metamaterials, suggests that dense suspensions with multiple memories can be viewed as trainable rheological metafluids.
title Dense suspensions as trainable rheological metafluids
topic Soft Condensed Matter
Materials Science
url https://arxiv.org/abs/2503.09063