S. Sundaram et Lr. Collins, SPECTRUM OF DENSITY-FLUCTUATIONS IN A PARTICLE FLUID SYSTEM .2. POLYDISPERSE SPHERES, International journal of multiphase flow, 20(6), 1994, pp. 1039-1052
This paper presents an extension of the analysis shown in Part I to a
polydisperse particle-fluid system. The density autocorrelation is sho
wn to be a function of two quantities, a generalized Overlap function
for which an analytical expression is derived, and the radial distribu
tion function (RDF). In Fourier transform space, the density spectrum
again appears to be a strong function of the mean particle size, and s
econdarily the mean particle separation distance. One unusual result i
s previously observed oscillations in the density spectrum of a monodi
sperse system of particles are severely dampened or even eliminated in
the polydisperse case, depending on the width of the particle size di
stribution. Apparently contributions from different particle correlati
ons interfere with each other, thereby reducing the coherent oscillati
ons seen in the monodisperse particle-fluid system. Furthermore at lar
ge wavenumbers, the spectrum decays with a -2 power-law, independent o
f the shape of the particle size distribution. This behavior can be tr
aced to the Overlap function which controls the behavior of the spectr
um beyond the first peak. Remarkably the -2 power-law spectrum is dete
rmined by the shape of the particles (i.e. spheres) rather than their
spatial distribution (RDF). The effect of an asymptotically large pres
sure gradient on the correlation of several important higher-order mom
ents is revisited for the polydisperse system. The relatively simple r
elationships developed for the monodisperse system are lost in the pol
ydisperse case because particles of different sizes will be influenced
differently by an applied pressure gradient. The result is moments th
at are of different order in velocity can no longer be related to each
other (as they were in the monodisperse system), even in this idealiz
ed flow. A more comprehensive understanding of this phenomenon can onl
y be achieved through direct numerical simulation or experiment.