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IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Rheology control by branching modeling
Volha Shchetnikava
Department of Mathematics and Computer ScienceTU EINDHOVEN
November 3, 2010
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Project description
Project description
The targets of the project are:
To predict the topology of members ofensembles of arbitrary branched polymers on thebasis of a reactor model (i.c. ldPE)
To predict the linear and the non-linearrheological response of branched polymer melts(i.c. ldPE)
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Project description
Low-density Polyethylene
LDPE is a highly branched structure characterized by:
Broad molecular weight distribution
Both long and short side chains are present
Irregularly spaced branches
Long chain branching has a tremendous effect on the rheology
Transition from short to long chain branching at Me
Exhibit ”strain hardening” in uniaxial extensional flow
Exhibit ”strain softening” in shear flow
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Project description
Arbitrary branched polymers
Macromolecules are described by graphs (trees) and representedas:
Vertices - branch points and ends of branches (arms)
Weight of the edge - molecular weight of the strand
The adjacency matrix of a weighted graph
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Project description
Ensemble of arbitrary branched polymers
We specify a collection of a large number of branched molecules byintroducing parameters:
α indicate the molecular species 1, . . . ,Ns
i label the various molecules of the species α 1, . . . ,Nα
Example:
100 molecules of species 1, 2000 molecules of species 2, 1000molecules of species 3
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Bead-spring structure
Portion of the molecule is replaced by entropic ”spring”
Mass of the chain is concentrated in ”beads”
Rn is the location of the nth bead
Nmn - number of the Kuhn segments of length b in theportion of the molecule
Spring constant between beads n and m is 3kBTNmnb2
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
The Langevin equation
The individual bead is driven by the sum of four forces:
1 fn - potential force, force from neighboring beads
2 f fr - friction force
3 fr - fluctuating force
4 fex - external force
Equation of motion for the nth bead in the absence of inertia
fnn + f frn + frn + fexn = 0
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
The Langevin equation
To start with consider the potential energy of the system when thesprings are Gaussian
U =∑
segments
K
2Nmn[Rn − Rm]2
where Rn(t) = (Xn(t),Yn(t),Zn(t)) and K = 3kBT/b2
We can rewrite the potential energy as
U =K
2
N∑n=1
N∑m=1
AnmRn · Rm
The connectivity matrix A is always symmetric with real elements
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Example of the connectivity matrix
A =
12 0 −1
2 0 0 00 1
3 −13 0 0 0
−12 −1
343 0 0 −1
20 0 0 1
4 0 −14
0 0 0 0 1 −10 0 −1
2 −14 −1 7
4
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
The Langevin equation
Thus, the potential force is equal to
fnn = − ∂U∂Rn
= −KN∑
m=1
AnmRm
The friction force is proportional to velocity
f frn = −ζ dRn
dt
The fluctuating force is characterized by the following 2 moments:
< frn >= 0
< f rnα(t)f r
mβ(t′) >= 2ζkBT δnmδαβδ(t − t ′)
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
The Langevin equation
The Langevin equation of motion for the nth bead becomes
ζdRn
dt+ K
N∑m=1
AnmRm(t) = frn(t) + fexn (t)
The flow field in the system is represented as
fexn (t) = ζVn(t)
In the case of a shear flow
Vn(t) = (κ(t)Yn(t), 0, 0)
where κ(t) is the shear rate
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
The Langevin equation
The Langevin equation in the Cartesian coordinates
ζ(dXn(t)
dt− κ(t)Yn(t)) + K
N∑m=1
AnmXm(t) = f rxn(t)
ζdYn(t)
dt+ K
N∑m=1
AnmYm(t) = f ryn(t)
ζdZn(t)
dt+ K
N∑m=1
AnmZm(t) = f rzn(t)
The set of these equations represents Brownian motion of coupledoscillators
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
The Langevin equation in normal coordinates
The Langevin equation expressed in normal coordinates
ζ(dXp(t)
dt− κ(t)Yp(t)) + KλpXp(t) = f r
xp(t)
ζdYp(t)
dt+ KλpYp(t) = f r
yp(t)
ζdZp(t)
dt+ KλpZp(t) = f r
zp(t)
λp are eigenvalues of the connectivity matrix A (always real)
The random force fr
p(t) has moments
< fr
p(t) >= 0
< f rpα(t)f r
qβ(t ′) >= 2ζkBT δpqδαβδ(t − t ′)
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Nondimensionalization
We introduce dimensionless variables:
x = xb
t = t Kζ
fr
m(t) = frm(t) 1Kb
κ(t) = κ(t) ζK
σαβ = σαβbK
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Nondimensionalization
The dimensionless Langevin equation in normal coordinates
dXp (t)
dt− κ(t)Yp (t) + λpXp (t) = f r
xp (t) (1)
dYp (t)
dt+ λpYp (t) = f r
yp (t) (2)
dZp (t)
dt+ λpZp (t) = f r
zp (t) (3)
The variance of the random force
< f rpα(t)f r
qβ (t ′) >=2
3δpqδαβδ(t − t ′)
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Contribution to the macroscopic stress from one polymer t.
The macroscopic stress is
σαβ = − 1
V
∑n
< fnαRnβ > −Pδαβ
fnα = −KN∑
m=1
AnmRmα
Using normalized coordinates the stress becomes
σαβ =K
V
∑k
λk < RkαRkβ > −Pδαβ
In the case of shear flow Skxy (t) =< Xk (t)Yk (t) >
σxy =b3
V
∑k
λkSkxy (t)
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Contribution to the macroscopic stress from one polymertype
By averaging the linear combination of the Langevin equations, weget
dSpxy (t)
dt= −λpSpxy (t) +
1
2κ(t) < Y 2
p (t) > (4)
We know that
Yp (t) =
∫ t
−∞e− t−t′
τp f ryp (t ′)dt ′
Thus
< Y 2p (t) >=
1
3τp
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Contribution to the macroscopic stress from one polymertype
The resulting equation is
dSpxy (t)
dt= − 2
τpSpxy (t) +
1
3κ(t)τp
The solution has the following form
Spxy =1
3
∫ t
−∞τpe− 2(t−t′)
τp κ(t ′)dt ′
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Contribution to the macroscopic stress from one polymertype
Equation for the stress:
σxy (t) =
∫ t
−∞G (t − t ′)κ(t ′)dt ′
Here G (t) is given by the following :
G (t) =b3
3V
∑p
e− 2t
τp
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Macroscopic stress of the system
After Fourier transforming we obtain the dynamic moduli
G ′(ω) =b3
3V
N∑p=2
(ωτp)2
1 + (ωτp)2
G ′′(ω) =b3
3V
N∑p=2
ωτp1 + (ωτp)2
Note τ1 =∞
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Macroscopic stress of the system
The shear stress of the entire system is the sum of the shear stresscontributions of the separate molecules
σsysxy =
b3
3V
Ns∑α=1
Nα
nα∑k=1
λαk < Xαk Y α
k >
The total number of Kuhn segments in the whole system is
Ntot =
NS∑α=1
Nα
nα∑m=1
nα∑n>m
Nαmn
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
An extension of the Rouse theoryMacroscopic stress in the system
Macroscopic stress of the system
The relaxation modulus of the system
Gsys (t) =1
3Ntot
Ns∑α=1
Nα∑p
e− 2t
ταp
The storage modulus and loss modulus reads:
G ′sys(ω) =1
3Ntot
Ns∑α=1
Nα
N−1∑p=1
(ωταp )2
1 + (ωταp )2
G ′′sys(ω) =1
3Ntot
Ns∑α=1
Nα
N−1∑p=1
ωταp1 + (ωταp )2
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
H-polymer
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Decomposition of G”
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Star-polymer
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Decomposition of G”
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Arbitrary branched polymer
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Decomposition of G”
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Future research
Introduce finite extensibility of the segments by consideringFENE-P segments
Introduce entanglements in the system by consideringanisotropic friction and Brownian forces in the spirit of theBird-Deaguiar encapsulated dumbbell model
Develop an (approximate) constitutive model for the arbitrarybranched polymer ensemble
Finalize and test the implementation of the model
Study the influence of molecular topological complexity on thelinear rheology of arbitrary branched polymer ensembles (suchas compare to BoB model)
Volha Shchetnikava Rheology control by branching modeling
IntroductionModel of linear viscoelasticity
Numerical experimentsFuture research
Acknowledgment
I would like to thank:
Prof.dr. J.J.M. Slot
Oleg Matveichuk
DPI
Volha Shchetnikava Rheology control by branching modeling