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Collective stiffening of soft hair assemblies

Authors :
Benjamin Le Révérend
Eric Lauga
Alexis Prevost
Elie Wandersman
Jean-Baptiste Thomazo
Laboratoire Jean Perrin (LJP)
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS)
Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Department of Applied Mathematics and Theoretical Physics (DAMTP)
University of Cambridge [UK] (CAM)
Nestlé Institute of Health Sciences SA [Lausanne, Switzerland]
Source :
Physical Review E, Physical Review E, American Physical Society (APS), 2020, 102 (1), pp.010602. ⟨10.1103/PhysRevE.102.010602⟩, Physical Review E, American Physical Society (APS), 2020, 102 (1), ⟨10.1103/PhysRevE.102.010602⟩
Publication Year :
2020
Publisher :
American Physical Society (APS), 2020.

Abstract

Many living systems use assemblies of soft and slender structures whose deflections allow them to mechanically probe their immediate environment. In this work, we study the collective response of artificial soft hair assemblies to a shear flow by imaging their deflections. At all hair densities, the deflection is found to be proportional to the local shear stress with a proportionality factor that decreases with density. The measured collective stiffening of hairs is modeled both with a microscopic elastohydrodynamic model that takes into account long range hydrodynamic hair-hair interactions and a phenomenological model that treats the hair assemblies as an effective porous medium. While the microscopic model is in reasonable agreement with the experiments at low hair density, the phenomenological model is found to be predictive across the entire density range.<br />Comment: 5 pages, 3 figures

Details

ISSN :
24700053 and 24700045
Volume :
102
Database :
OpenAIRE
Journal :
Physical Review E
Accession number :
edsair.doi.dedup.....88d1fc345352397e1f5784fd8c990e2b