Literature DB >> 21405252

Vesicle migration and spatial organization driven by flow line curvature.

Giovanni Ghigliotti1, Abtin Rahimian, George Biros, Chaouqi Misbah.   

Abstract

Cross-streamline migration of deformable entities is essential in many problems such as industrial particulate flows, DNA sorting, and blood rheology. Using two-dimensional numerical experiments, we have discovered that vesicles suspended in a flow with curved flow lines migrate towards regions of high flowline curvature, which are regions of high shear rates. The migration velocity of a vesicle is found to be a universal function of the normal stress difference and the flow curvature. This finding quantitatively demonstrates a direct coupling between a microscopic quantity (migration) and a macroscopic one (normal stress difference). Furthermore, simulations with multiple vesicles revealed a self-organization, which corresponds to segregation, in a rim closer to the inner cylinder, resulting from a subtle interaction among vesicles. Such segregation effects could have a significant impact on the rheology of vesicle flows.

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Year:  2011        PMID: 21405252     DOI: 10.1103/PhysRevLett.106.028101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  3 in total

1.  Quantification of mixing in vesicle suspensions using numerical simulations in two dimensions.

Authors:  G Kabacaoğlu; B Quaife; G Biros
Journal:  Phys Fluids (1994)       Date:  2017-02-09       Impact factor: 3.521

2.  Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease.

Authors:  Xuejin Li; Petia M Vlahovska; George Em Karniadakis
Journal:  Soft Matter       Date:  2013-01-07       Impact factor: 3.679

3.  Spatiotemporal Dynamics of Dilute Red Blood Cell Suspensions in Low-Inertia Microchannel Flow.

Authors:  Qi Zhou; Joana Fidalgo; Lavinia Calvi; Miguel O Bernabeu; Peter R Hoskins; Mónica S N Oliveira; Timm Krüger
Journal:  Biophys J       Date:  2020-04-04       Impact factor: 4.033

  3 in total

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