Coarse-grained computations of demixing in dense gas-fluidized beds.
We use an "equation-free," coarse-grained computational approach to accelerate molecular dynamics-based computations of demixing (segregation) of dissimilar particles subject to an upward gas flow (gas-fluidized beds). We explore the coarse-grained dynamics of these phenomena in gently fluidized beds of solid mixtures of different densities, typically a slow process for which reasonable continuum models are currently unavailable.
Department of Chemical Engineering & Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA.
Sung Joon
SJ
Moon
S
S
Sundaresan
I G
IG
Kevrekidis