Literature DB >> 15386007

A Taylor vortex analogy in granular flows.

Stephen L Conway1, Troy Shinbrot, Benjamin J Glasser.   

Abstract

Fluids sheared between concentric rotating cylinders undergo a series of three-dimensional instabilities. Since Taylor's archetypal 1923 study, these have proved pivotal to understanding how fluid flows become unstable and eventually undergo transitions to chaotic or turbulent states. In contrast, predicting the dynamics of granular systems--from nano-sized particles to debris flows--is far less reliable. Under shear these materials resemble fluids, but solid-like responses, non-equilibrium structures and segregation patterns develop unexpectedly. As a result, the analysis of geophysical events and the performance of largely empirical particle technologies might suffer. Here, using gas fluidization to overcome jamming, we show experimentally that granular materials develop vortices consistent with the primary Taylor instability in fluids. However, the vortices observed in our fluidized granular bed are unlike those in fluids in that they are accompanied by novel mixing-segregation transitions. The vortices seem to alleviate increased strain by spawning new vortices, directly modifying the scale of kinetic interactions. Our observations provide insights into the mechanisms of shear transmission by particles and their consequent convective mixing.

Year:  2004        PMID: 15386007     DOI: 10.1038/nature02901

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  3 in total

1.  A dilation-driven vortex flow in sheared granular materials explains a rheometric anomaly.

Authors:  K P Krishnaraj; Prabhu R Nott
Journal:  Nat Commun       Date:  2016-02-11       Impact factor: 14.919

2.  Key connection between gravitational instability in physical gels and granular media.

Authors:  Kazuya U Kobayashi; Rei Kurita
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.379

3.  Understanding turbulent free-surface vortex flows using a Taylor-Couette flow analogy.

Authors:  Sean Mulligan; Giovanni De Cesare; John Casserly; Richard Sherlock
Journal:  Sci Rep       Date:  2018-01-16       Impact factor: 4.379

  3 in total

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