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Introduction Model of linear viscoelasticity Numerical experiments Future research Rheology control by branching modeling Volha Shchetnikava Department of Mathematics and Computer Science TU EINDHOVEN November 3, 2010 Volha Shchetnikava Rheology control by branching modeling

Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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Page 1: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 2: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 3: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 4: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 5: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 6: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 7: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 8: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 9: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 10: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 11: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 12: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 13: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 14: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 15: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 16: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 17: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 18: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 19: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 20: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 21: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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∑k=1

λαk < Xαk Y α

k >

The total number of Kuhn segments in the whole system is

Ntot =

NS∑α=1

nα∑m=1

nα∑n>m

Nαmn

Volha Shchetnikava Rheology control by branching modeling

Page 22: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

N−1∑p=1

(ωταp )2

1 + (ωταp )2

G ′′sys(ω) =1

3Ntot

Ns∑α=1

N−1∑p=1

ωταp1 + (ωταp )2

Volha Shchetnikava Rheology control by branching modeling

Page 23: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

IntroductionModel of linear viscoelasticity

Numerical experimentsFuture research

H-polymer

Volha Shchetnikava Rheology control by branching modeling

Page 24: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

IntroductionModel of linear viscoelasticity

Numerical experimentsFuture research

Decomposition of G”

Volha Shchetnikava Rheology control by branching modeling

Page 25: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

IntroductionModel of linear viscoelasticity

Numerical experimentsFuture research

Star-polymer

Volha Shchetnikava Rheology control by branching modeling

Page 26: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

IntroductionModel of linear viscoelasticity

Numerical experimentsFuture research

Decomposition of G”

Volha Shchetnikava Rheology control by branching modeling

Page 27: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

IntroductionModel of linear viscoelasticity

Numerical experimentsFuture research

Arbitrary branched polymer

Volha Shchetnikava Rheology control by branching modeling

Page 28: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

IntroductionModel of linear viscoelasticity

Numerical experimentsFuture research

Decomposition of G”

Volha Shchetnikava Rheology control by branching modeling

Page 29: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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

Page 30: Model of linear viscoelasticity Future research · 03/11/2010  · Introduction Model of linear viscoelasticity Numerical experiments Future research An extension of the Rouse theory

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