D. Quemada, RHEOLOGICAL MODELING OF COMPLEX FLUIDS - II - SHEAR THICKENING BEHAVIOR DUE TO SHEAR-INDUCED FLOCCULATION, EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS, 2(2), 1998, pp. 175-181
The structural model discussed in Part I of the present work is applie
d to ''true'' behavior -i. e. shear thinning followed by shear thicken
ing (sometimes followed by shear thinning) -very often observed in com
plex fluids as the applied shear is increased. This model states that
the viscosity eta of these fluids -described as concentrated dispersio
ns of several classes of Structural Units (SUs) -is a unique function
of a flow-dependent effective volume fraction, phi eff. The latter is
expressed in terms of S-i = fraction of ''aggregated'' particles conta
ined in all the SU(i)s (as SUs of i-class) and C-i = (phi(i)(-1))= ''c
ompactness factor'', directly related to the mean compactness phi(i) o
f SU(i)s. Shear induced flocculation (SIF) is the more obvious process
capable to explain the shear thickening behavior of partially floccul
ated suspensions (obviously, another process should be required for st
abilized dispersions). After progressive reduction of SUs submitted to
shear forces (i.e. leading to a decrease of S-i), such a behavior sho
uld be observed if SIF occurs beyond a critical shear rate; (gamma) ov
er dot (c), then resulting in re-increase of S-i, thus of phi(eff) and
eta. The simplest ''SIF-model'' will introduce only one class of SUs,
with only one variable S governed by a kinetic equation in which the
kinetic rate for SU-formation increases with shear, thus giving the ex
pected shear-thickening behavior if (gamma) over dot > (gamma) over do
t (c). However, at high shear rates, SIF is limited by a (Smoluchowski
-like) shear decreasing sticking probability. Effects of varying model
parameters on predictions of the resulting SIF-model are discussed. F
inally, this model is tested by comparison with observed rheological b
ehavior, namely viscosity change vs, pH in aqueous styrene-ethylacryla
te dispersions, from Laun's data [2].