The effects of fluid inertia on the pressure drop required to drive
fluid
flow through
periodic and random arrays of aligned cylinders is investigated. Numerical
simulations
using a lattice-Boltzmann formulation are performed for Reynolds numbers
up to
about 180.
The magnitude of the drag per unit length on cylinders in a square array
at moderate
Reynolds number is strongly dependent on the orientation of the drag (or
pressure
gradient) with respect to the axes of the array; this contrasts with Stokes
flow through
a square array, which is characterized by an isotropic permeability. Transitions
to
time-oscillatory and chaotically varying flows are observed at critical
Reynolds
numbers that depend on the orientation of the pressure gradient and the
volume
fraction.
In the limit Re[Lt ]1, the mean drag per unit length,
F, in both periodic and random arrays, is given by
F/(μU)
=k1+k2Re2,
where μ is the fluid viscosity, U is the mean
velocity in the bed, and k1 and k2
are functions of the solid volume fraction ϕ.
Theoretical analyses based on point-particle and lubrication approximations
are used
to determine these coefficients in the limits of small and large concentration,
respectively.
In random arrays, the drag makes a transition from a quadratic to a
linear
Re-dependence at Reynolds numbers of between 2 and 5. Thus,
the empirical Ergun formula, F/(μU)
=c1+c2Re,
is
applicable for Re>5. We determine the constants c1
and c2 over a wide range of ϕ. The relative
importance of inertia becomes smaller as
the volume fraction approaches close packing, because the largest contribution
to the
dissipation in this limit comes from the viscous lubrication flow in the
small gaps
between the cylinders.