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Basic Principles
Newtonian constitutive equation, (2–80), that the normal component of the surface force
or stress acting on a fluid element at a point will generally have different values depending
on the orientation of the surface. Nevertheless, it is often useful to have available a scalar
quantity for a moving fluid that is analogous to static pressure in the sense that it is a measure
of the local intensity of “squeezing” of a fluid element at the point of interest. Thus it is
common practice to introduce a mechanical definition of pressure in a moving fluid as
1
p ≡ − tr T.
3
(2–85)
This quantity has the following desirable properties. First, it is invariant under rotation
of the coordinate axes (unlike the individual components of T). Second, for a static fluid
−1/3 · tr T = p, the thermodynamic pressure. And third, p has a physical significance
analogous to pressure in a static fluid in the sense that it is precisely equal to the average value
of the normal component of the stress on a surface element at position x over all possible
orientations of the surface (alternatively, we may say that 1/3 · tr T is the average magnitude
of the normal stress on the surface of an arbitrarily small sphere centered at point x).
The definition (2–85) is a purely mechanical definition of pressure for a moving fluid, and
nothing is implied directly of the connection for a moving fluid between p and the ordinary
static or thermodynamic pressure p. Although the connection between p and p can always
be stated once the constitutive equation for T is given, one would not necessarily expect
the relationship to be simple for all fluids because thermodynamics refers to equilibrium
conditions, whereas the elements of a fluid in motion are clearly not in thermodynamic
equilibrium. Applying the definition (2–85) to the general Newtonian constitutive model,
(2–80), we find
2
p = p − λ + μ ∇ · u,
3
1
2
=T+
¯
tr T I = 2μE − μ(∇ · u)I.
3
3
(2–86)
Only if the fluid can be modeled as incompressible does the connection between p and p
simplify greatly for a Newtonian fluid. In that case,
p ≡ p;
= = 2μE.
¯
(2–87)
So far, we have simply stated the Cauchy equation of motion and the Newtonian constitutive equations as a set of nine independent equations involving u, T, and p. It is evident
in this case, however, that the constitutive equation, (2–80), for the stress [or equivalently
(2–86)] can be substituted directly into the Cauchy equation to provide a set of equations
that involve only u and p (or p). These combined equations take the form
ρ
∂u
2
+ u · ∇u = ρg − ∇ p + ∇ · (2μE) − ∇ · [μ(div u)I] .
∂t
3
(2–88)
If the fluid can be approximated as incompressible and if the fluid is isothermal so that the
viscosity μ can be approximated as a constant, independent of spatial position (note that
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I. The Equations of Motion for a Newtonian Fluid – The Navier–Stokes Equation
any dependence of μ on pressure is generally weak enough to be neglected altogether), this
equation takes the form
∂u
+ u · ∇u = ρg − ∇ p + μ∇ 2 u.
∂t
ρ
(2–89)
This is the Navier–Stokes equation of motion for an incompressible, isothermal Newtonian
fluid. Two comments are in order with regard to this equation. First, we shall always assume
that ρ and μ are known–presumably by independent means – and attempt to solve (2–89)
and the continuity equation, (2–20) for u and p. Second, the ratio μ/ρ, which is called the
kinematic viscosity and denoted as ν, plays a fundamental role in determining the fluid’s
motion. In particular, it can be seen from (2–89) that the contribution to acceleration of
a fluid element (Du/Dt) that is due to viscous stresses is determined by ν rather than
by μ.
Finally, we note that it is frequently convenient to introduce the concept of a dynamic
pressure into (2–89). This is a consequence of the utility of having the pressure gradient that
appears explicitly in the Navier–Stokes equation act as a driving force for motion. In the
form (2–89), however, a significant contribution to ∇ p is the static pressure variation∇ p =
ρg, which has nothing to do with the fluid’s motion. In other words, nonzero pressure
gradients in (2–89) do not necessarily imply fluid motion. Because of this it is convenient
to introduce the so-called dynamic pressure P, such that ∇ P = 0 in a static fluid. This
implies
−∇ P ≡ ρg − ∇ p.
(2–90)
Note that this equation requires that the sum ∇ p − ρg be expressible in terms of the
gradient of a scalar P. This is possible only if ρ is constant – that, is the fluid must be both
incompressible and isothermal. In this case,
ρ
∂u
+ u · ∇u = −∇ P + μ∇ 2 u.
∂t
(2–91)
Equation (2–91) would seem to imply that the gravity force ρg has no direct effect on the
velocity distribution in a moving fluid, provided the fluid is incompressible and isothermal
so that the density is constant. This is generally true. An exception occurs when one of
the boundaries of the fluid is a gas–liquid or liquid–liquid interface. In this case, the actual
pressure p appears in the boundary conditions (as we shall see), and the transformation of
the body force out of the equations of motion by means of (2–90) simply transfers it into the
boundary conditions. We shall frequently use the equations of motion in the form (2–91),
but we should always keep in mind that it is the dynamic pressure that appears there.
Finally, it was stated previously that fluids that satisfy the Newtonian constitutive equation for the stress are often also well approximated by the Fourier constitutive equation,
(2–67), for the heat flux vector. Combining (2–67) with the thermal energy, (2–52), we
obtain.
ρC p
Dθ
θ
=−
Dt
ρ
∂ρ
∂θ
p
Dp
+ p(∇ · u) + (T : E) + ∇ · (k∇θ ).
Dt
(2–92)
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Basic Principles
For an incompressible Newtonian fluid this take the simpler form
ρC p
θ
Dθ
=−
Dt
ρ
∂ρ
∂θ
p
Dp
+ 2μ(E : E) + ∇ · (k∇θ ),
Dt
(2–93)
which we shall use frequently in subsequent developments.
J.
COMPLEX FLUIDS – ORIGINS OF NON-NEWTONIAN BEHAVIOR
Experience has shown that the Newtonian fluid model subject to the previously discussed
assumptions, provides a very good approximation under most flow conditions for gases
and small-molecule liquids such as water. The reason for this is that the random, thermally
driven motions within such materials at moderate temperatures are sufficiently vigorous
that they completely overcome any tendency of the forces associated with flow to produce a molecular configuration state that differs significantly from the isotropic, homogeneous state of statistical equilibrium. There is net displacement of mass associated with
the mean (continuum-level) flow, but virtually no change in the “shapes,” orientation distributions, or other statistical features of the configuration of the material at the molecular
level.
There is, however, a vast body of materials whose behavior as liquids undergoing flow
do not satisfy the assumptions for a Newtonian fluid. This includes many polymeric liquids,
suspensions, multifluid blends, liquids containing surfactants that tend to form particle-like
micelles when they are present at high concentrations, and many others. As we shall subsequently discuss from a qualitative point of view, these fluids exhibit more complicated
macroscopic properties and have historically been lumped together under the general designation of non-Newtonian fluids. In the more recent literature, they have also been called
complex liquids.20
This book is focused almost entirely on the dynamics of, and transport processes in,
Newtonian fluids. Nevertheless, the class of complex or non-Newtonian fluids is extremely
common, especially in chemical engineering applications, and it is probably useful to spend
some time discussing what is responsible for the departures from Newtonian behavior. We
shall see that the applicability of the Newtonian fluid model is based on a combination of the
intrinsic characteristics of the fluid and the characteristics of the flow. Specifically, a fluid
may exhibit behavior that can be described accurately by the Newtonian fluid model under
one set of flow conditions but appear as non-Newtonian under a different set of conditions.
One motivation for discussing the origins of non-Newtonian behavior is that this will help us
to understand when we might expect the Newtonian fluid model to apply. A second is that it
will give us a very crude and qualitative understanding of the behavior that is characteristic
of non-Newtonian materials.
Let us begin by discussing a specific example, namely, a dilute solution of rigid rodlike
macromolecules in a solvent. By dilute, we mean that the macromolecules are far enough
apart that they do not interact directly in the flow. An analogous system is a suspension of
rod-shaped colloidal particles. In both cases, we suppose that the macromolecules/particles
are small enough to experience significant random rotational motion that is due to Brownian
motion, so that their orientation and position in the absence of flow is a random function of
time. To describe the microstructural state of the solution/suspension, we therefore require a
probability density function (p, x p ), which prescribes the probability of finding a particle
with its principal axis oriented in a direction p at a position x p . In the following discussion,
we assume that the macromolecules/particles are always uniformly dispersed with respect to
spatial position. Hence the probability of a particle being at some position can be specified
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J. Complex Fluids – Origins of Non-Newtonian Behavior
in terms of a concentration, say c, that is assumed to be independent of position. Then
specification of the microstructural state requires only the orientation distribution function,
N (p; x, t).
The probability of finding a particle/macromolecule with an orientation within a solid angle
dp of some orientation p is
N (p; x, t)dp.
In general, this probability will be a function of both position x and time t. However,
at equilibrium, all orientations are equally probable. Hence the equilibrium orientation
distribution, normalized so that the total probability of orientation in some direction is
unity, is just
1
N (p; x, t) =
.
4π
In general, we seek a description of the solution/suspension from a macroscopiccontinuum perspective. Hence we generalize our notion of a material point to be a volumetric
region that is small enough compared with the (macroscopic) length scales of a flow domain
to be considered as a point, but large enough to contain a statistically meaningful number
of particles/macromolecules. Any macroscopic property of the suspension/solution at a
material point will then depend on the orientation distribution at that point and time. In
the equilibrium state, the orientation probability is uniform, as already noted, and hence
the material at equilibrium is statistically isotropic, in spite of the fact that individual particles/macromolecules are rodlike in shape.
Now, let us think qualitatively about what happens to the material when it is subjected
to a flow. For simplicity, let us imagine that the flow is a simple shear flow
u = γ y ix ,
˙
(2–94)
with a shear rate γ . Simple shear flow is a good approximation to the flows generated in
˙
many rheometers – namely, the instruments designed to measure the flow properties of
liquids – and thus it is an appropriate choice for the present discussion.
When an individual particle/macromolecule is subjected to a flow of the type (2–94),
it will tend to rotate. In general, the rotational motion of a rod in a shear flow is complex,
though a complete theory for rodlike ellipsoids had been developed already in the early
1900s by Jefferey (1922). 21 For present purposes, let us simply consider a rod that lies in
the plane of the flow (i.e., the x–y plane). This rod will rotate. However, the rate of rotation is
not uniform. If the rod is oriented in the y direction (across the flow), it is intuitively obvious
that the hydrodynamic torque on it will be much larger than if the same rod were oriented
with its axis in the x direction (parallel to the flow). Hence it will rotate more rapidly in the
cross-flow orientation than when it is aligned with the flow. Even though the rod will continue
to tumble over and over, it will spend relatively longer in orientations that are near alignment
with the flow and less time in orientations that are across the flow. Thus the action of the flow
is to produce a nonuniform orientation distribution, with larger N values in the flow-aligned
direction and smaller values away from this direction. Of course, Brownian motion is still
present – i.e., “rotational diffusion” – and this continues to try to maintain the orientation
distribution in a uniform or completely random state. The orientation distribution that results
can be viewed as a consequence of the competition between the flow-induced tendency
toward a nonuniform orientation distribution and the tendency of Brownian diffusion to
maintain a uniform state. The strength of the flow effect will clearly be proportional to γ ,
˙
whereas the diffusion process is characterized by a so-called rotational diffusivity D. Both
of these quantities have units of inverse time. D, in particular, provides a measure of the
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