A Cloud of Rigid Fibres Sedimenting in a Viscous Fluid
Abstract
Experiments and numerical simulations have been performed to investigate the deformation and break-up of a cloud of rigid fibres falling under gravity through a viscous fluid in the absence of inertia and interfacial tension. The cloud of fibres is observed to evolve into a torus that subsequently becomes unstable and breaks up into secondary droplets which themselves deform into tori in a repeating cascade. This behaviour is similar to that of clouds of spherical particles, though the evolution of the cloud of fibres occurs more rapidly. The simulations, which use two different levels of approximation of the far-field hydrodynamic interactions, capture the evolution of the cloud and demonstrate that the coupling between the self-motion and hydrodynamically induced fluctuations are responsible for the faster break-up time of the cloud. The dynamics of the cloud are controlled by a single parameter which is related to the self-motion of the anisotropic particles. The experiments confirm these findings.
Recommended Citation
J. Park et al., "A Cloud of Rigid Fibres Sedimenting in a Viscous Fluid," Journal of Fluid Mechanics, vol. 648, pp. 351 - 362, Cambridge University Press, Apr 2010.
The definitive version is available at https://doi.org/10.1017/S0022112009993909
Department(s)
Chemical and Biochemical Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Anisotropic Particles; Break-Up; Far-Field; Hydrodynamic Interaction; Interfacial Tensions; Numerical Simulation; Secondary Droplets; Sedimenting; Self Motion; Single Parameter; Spherical Particle; Viscous Fluids; Computer Simulation; Viscous Flow; Fibers; Experimental Study; Fluid Mechanics; Hydrodynamics; Numerical Model
International Standard Serial Number (ISSN)
0022-1120; 1469-7645
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2010 Cambridge University Press, All rights reserved.
Publication Date
01 Apr 2010
Comments
This work was supported by the National Science Foundation through a CAREER Award (CTS-0348205).