Short Fiber Suspensions

Fiber-reinforced polymeric composites are extensively manufactured by various polymer melt processes such as extrusion, injection, and compression molding. Generally, in a suspension of fiber, the flow field alters the orientation of the fibers; at the same time, the presence of fibers (and their mean orientation) changes the stress response of the suspension.

Fiber Orientation Prediction

The continuum approach for predicting the orientation of rigid short fibers with uniform volume fraction in a suspension [149] uses an orientation tensor to define the mean orientation. The orientation tensors are different moments of the fiber orientation probability distribution function ψ. They provide a computationally effective approach for evaluating the fiber orientations in the complex flow field. The orientation tensors are defined as:

Figure 1. EQUATION_DISPLAY
a2=02πφ0πppψ(θ,φ,t)sinθdθA4=02πφ0πppppψ(θ,φ,t)sinθdθ
(749)

where:

  • θ and φ are the polar and azimuthal angles in spherical coordinates.
  • p is the orientation vector for a single fiber. pp and pppp are second- and fourth-order tensors, dyadic products of p.

In spherical coordinates, the single fiber orientation vector is written as:

p=(sinθcosφsinθsinφcosφ)

The orientation tensors must satisfy the following symmetric and normalization properties:

aij=ajiAijkl=Aijlk=Ajikl=Aklijaii=1Aijkk=aij

Additionally, the probability distribution function ψ must satisfy the Fokker-Planck (population balance) equation. The Fokker-Planck equation can be written as:

Figure 2. EQUATION_DISPLAY
DψDt=∇⋅(ψp˙(Drψ))
(750)

where Dr is the rotary diffusivity of the short fibers in the viscous fluid.

To derive an evolutionary equation for a2, the Fokker-Planck equation is multiplied by pp [149] and then integrated both side of equations over a unit sphere. From this, the evolutionary equation for a2 can be written as:

Figure 3. EQUATION_DISPLAY
Da2Dt=α[(Ωa2a2a2)+λ(Da2+a2D2A4:D)+2γ˙CI(I3a2)]
(751)

where:

  • D/Dt is the material derivative.
  • D and Ω are the strain rate and vorticity tensors.
  • γ˙ is the shear rate, γ˙=2IID, where IID is the second invariant of the train rate tensor.
  • α is the slip coefficient of the model.
  • CI is an empirical parameter described by the Bay [153] and Phan-Thien [203] models. γ˙CI=Dr.

    In the Bay model:

    Figure 4. EQUATION_DISPLAY
    CI=0.0184exp(0.7148ϕr)
    (752)

    In the Phan-Thien model:

    Figure 5. EQUATION_DISPLAY
    CI=0.03[1exp(0.0224ϕr)]
    (753)

r is the aspect ratio of the fiber.

It is evident from Eqn. (751) that a2 is a function of A4, which presents a closure dilemma. To circumvent the need for the fourth-order orientation tensor A4, this tensor is approximated by the lower-order orientation tensor. Chung and Kwon [160] proposed the Invariant-Based Optimal Fitting (IBOF) closure approximation which relates A4 to a2 and the unit tensor according to:

Aijkl=β1S(δijδkl)+β2S(δijakl)+β3S(aijakl)+β4S(δijakmaml)+β5S(aijakmaml)+β5S(aimamjaknanl)

where S indicates the symmetric part of its argument defined as:

S(Tijkl)=124(Tijkl+Tjikl+Tijlk+Tjilk+Tklij+Tlkij+Tklji+Tlkji+Tikjl+Tkijl+Tiklj+Tkilj+Tjlik+Tljik+Tjlki+Tljki+Tiljk+Tlijk+Tilkj+Tlikj+Tjkil+Tkjil+Tjkli+Tkjli)

—that is, with the subscripts of the stress tensor T taken in all possible orders.

The six set of coefficient βi are functions of second and third invariants of a2.

Fiber Suspension Rheology

The presence of the fibers has an extra contribution on stress. It can be shown [179] that the bulk stress contribution due to presence of a spheroidal fibers in a Newtonian fluid is governed by:

Figure 6. EQUATION_DISPLAY
Tsuspension=2μsD+Tfiber
(754)

where:

Figure 7. EQUATION_DISPLAY
Tfiber=2μsϕ[C1D+C2A4:D]
(755)

and:

  • ϕ is the volume fraction of the fibers in the suspension.
  • μs is the solvent viscosity.
  • A4 is determined using the IBOF closure approximation.
  • C1 and C2 are two constants, determined by any of five models.

The models available for determining C1 and C2 are:

Lipscomb et al.
This model is suited to dilute fiber suspensions [191].
Figure 8. EQUATION_DISPLAY
C1=2C2=r22lnr
(756)
Batchelor
This model is suited to dilute fiber suspensions [152].
Figure 9. EQUATION_DISPLAY
C1=0C2=2r23ln2r
(757)
Shaqfeh & Fredrickson
This model is suited to dilute fiber suspensions [209].
Figure 10. EQUATION_DISPLAY
C1=0C2=4r23ln(1ϕ)[1ln(ln(1ϕ))ln(1ϕ)+0.6634ln(1ϕ)]
(758)
Phan-Thien & Graham
This model is suited to semi-concentrated fiber suspensions [203].
Figure 11. EQUATION_DISPLAY
C1=0C2=r2(2ϕ0.530.013r)2(ln(2r)1.5)(1ϕ0.530.013r)2
(759)
Dinh & Armstrong
This model is suited to semi-concentrated fiber suspensions [164].
Figure 12. EQUATION_DISPLAY
C1=0C2=r23ln(π2ϕr)
(760)

The suspension is in the dilute regime when ϕ<1r2. The suspension is in the semi-concentrated regime when 1r2<ϕ<1r.