We study segregation of a binary mixture of differently charged
particles under shear using particle-based simulations. We simulate
particle dynamics using a discrete-element model including electrostatic
interactions and find that particles segregate according to their net
charge. Particles that are charged twice as strong as other particles of
the same electrical sign are seen more at insulating boundaries with
which we shear the system. Weakly charged particles, on the other hand,
stay more in the center of the sheared bed. To understand this
segregation, we propose a simple model based on electrostatic potential
energy, which shows that the segregated system we observe in our
simulations is indeed the most favorable configuration. Our simulations
further show that for a given packing fraction and a given simulation
time there is an optimal shear velocity where the segregation is
maximal. We show that this maximum results from a competition between
diffusional and Coulomb fluxes. For a larger shear velocity, diffusion
suppresses segregation as proportional to the fluctuation velocity.
%0 Journal Article
%1 WOS:000433248900001
%A Yoshimatsu, R
%A Araujo, N A M
%A Shinbrot, T
%A Herrmann, H J
%C 233 SPRING ST, NEW YORK, NY 10013 USA
%D 2018
%I SPRINGER
%J GRANULAR MATTER
%K Discrete Electrostatics; Shear element flow; method segregation; simulations} {Particle
%N 3
%R 10.1007/s10035-018-0806-1
%T Segregation of charged particles under shear
%V 20
%X We study segregation of a binary mixture of differently charged
particles under shear using particle-based simulations. We simulate
particle dynamics using a discrete-element model including electrostatic
interactions and find that particles segregate according to their net
charge. Particles that are charged twice as strong as other particles of
the same electrical sign are seen more at insulating boundaries with
which we shear the system. Weakly charged particles, on the other hand,
stay more in the center of the sheared bed. To understand this
segregation, we propose a simple model based on electrostatic potential
energy, which shows that the segregated system we observe in our
simulations is indeed the most favorable configuration. Our simulations
further show that for a given packing fraction and a given simulation
time there is an optimal shear velocity where the segregation is
maximal. We show that this maximum results from a competition between
diffusional and Coulomb fluxes. For a larger shear velocity, diffusion
suppresses segregation as proportional to the fluctuation velocity.
@article{WOS:000433248900001,
abstract = {We study segregation of a binary mixture of differently charged
particles under shear using particle-based simulations. We simulate
particle dynamics using a discrete-element model including electrostatic
interactions and find that particles segregate according to their net
charge. Particles that are charged twice as strong as other particles of
the same electrical sign are seen more at insulating boundaries with
which we shear the system. Weakly charged particles, on the other hand,
stay more in the center of the sheared bed. To understand this
segregation, we propose a simple model based on electrostatic potential
energy, which shows that the segregated system we observe in our
simulations is indeed the most favorable configuration. Our simulations
further show that for a given packing fraction and a given simulation
time there is an optimal shear velocity where the segregation is
maximal. We show that this maximum results from a competition between
diffusional and Coulomb fluxes. For a larger shear velocity, diffusion
suppresses segregation as proportional to the fluctuation velocity.},
added-at = {2022-05-23T20:00:14.000+0200},
address = {233 SPRING ST, NEW YORK, NY 10013 USA},
author = {Yoshimatsu, R and Araujo, N A M and Shinbrot, T and Herrmann, H J},
biburl = {https://www.bibsonomy.org/bibtex/2e0bb908914e9132f218c67a48fc90b02/ppgfis_ufc_br},
doi = {10.1007/s10035-018-0806-1},
interhash = {4b1689067c7e325bdc3b9b792de8443c},
intrahash = {e0bb908914e9132f218c67a48fc90b02},
issn = {1434-5021},
journal = {GRANULAR MATTER},
keywords = {Discrete Electrostatics; Shear element flow; method segregation; simulations} {Particle},
number = 3,
publisher = {SPRINGER},
pubstate = {published},
timestamp = {2022-05-23T20:00:14.000+0200},
title = {Segregation of charged particles under shear},
tppubtype = {article},
volume = 20,
year = 2018
}