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1 Polymer Dynamics and Rheology

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Page 1: Polymer Dynamics and Rheology - University of Cincinnati

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Polymer Dynamics and Rheology

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Polymer Dynamics and Rheology

Brownian motionHarmonic Oscillator

Damped harmonic oscillatorElastic dumbbell model

Boltzmann superposition principleRubber elasticity and viscous drag

Temporary network model (Green & Tobolsky 1946)Rouse model (1953)

Cox-Merz rule and dynamic viscoelasticityReptation

The gel point

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The Gaussian Chain

Boltzman ProbabilityFor a Thermally Equilibrated System

Gaussian ProbabilityFor a Chain of End to End Distance R

By Comparison The Energy to stretch a Thermally Equilibrated Chain Can be Written

Force Force

Assumptions:-Gaussian Chain

-Thermally Equilibrated-Small Perturbation of Structure (so it is still Gaussian after the deformation)

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Stoke’s Law

F = vςς = 6πηsR

F

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Cox-Merz Rule

Creep Experiment

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Boltzmann Superposition

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Stress Relaxation (liquids)

Creep (solids) J t( ) = ε t( )σ

Dynamic Measurement

Harmonic Oscillator: = 90° for all except = 1/ where = 0°δ δω ω τ

Hookean Elastic

Newtonian Fluid

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Brownian Motion

For short times

For long times 0

E = kT = ½ mV2

F = ma = zV

Integrate

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dE = F dxF = zV

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http://mathworld.wolfram.com/First-OrderOrdinaryDifferentialEquation.html

F = kdxFdx = dU

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The response to any force field

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Both loss and storage are based on the primary response function, so it should be possible to express a relationship between the two.

The response function is not defined at t =∞ or at ω = 0This leads to a singularity where you can’t do the integrals

CauchyIntegral

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W energy = Force * distance

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Parallel Analytic Technique to Dynamic Mechanical(Most of the math was originally worked out for dielectric relaxation)

Simple types of relaxation can be considered, water molecules for instance.

Creep:

InstantaneousResponse

Time-lagResponse

Dynamic:

ε0 Free Space

ε Material

εu Dynamic material

D = ε0E + P = ε0εE Dielectric Displacement

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Rotational Motionat Equilibrium

A single relaxation mode, τ relaxation

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Creep Measurement

Response

K = 1τ

http://mathworld.wolfram.com/First-OrderOrdinaryDifferentialEquation.html

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Apply to a dynamic mechanical measurement

dγ 12 t( )dt

= iωσ120 J * ω( )exp iωt( )

Single modeDebye Relaxation

Multiply by iωτ −1( )iωτ −1( )

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Single modeDebye Relaxation

Symmetric on a log-log plot

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Single modeDebye Relaxation

More complex processes have a broader peak

Shows a broader peak but much narrower than a Debye relaxation

The width of the loss peak indicates the difference between a vibration and a relaxation process

Oscillating system displays a moment of inertiaRelaxing system only dissipates energy

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Equation for a circle in J’-J” space

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dγdt

= −γ t( )τ

+ ΔJσ 0

EquilibriumValue

TimeDependent

Value

Lodge LiquidBoltzmann Superposition

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Boltzmann Superposition

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Rouse DynamicsFlow

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ω 1ω 2

ω12

ω57

NewtonianFlow

EntanglementReptation

RouseBehavior

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ω 1ω 2

ω12

ω57

NewtonianFlow

EntanglementReptation

RouseBehavior

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Lodge Liquid and Transient Network Model

Simple ShearFinger Tensor

Simple ShearStress

First Normal Stress

Second Normal Stress

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For a Hookean Elastic

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For Newtonian Fluid

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Dumbbell Model

x t( ) = dt 'exp −k t − t '( )ξ

⎛⎝⎜

⎞⎠⎟g t( )

−∞

t

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Dilute Solution Chain

Dynamics of the chain

Rouse Motion

Beads 0 and N are special

For Beads 1 to N-1

For Bead 0 use R-1 = R0 and for bead N RN+1 = RN

This is called a closure relationship

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Dilute Solution Chain

Dynamics of the chain

Rouse Motion

The Rouse unit size is arbitrary so we can make it very small and:

With dR/dt = 0 at i = 0 and N

Reflects the curvature of R in i, it describes modes of vibration like on a guitar string

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x, y, z decouple (are equivalent) so you can just deal with z

For a chain of infinite molecular weight there are wave solutions to this series of differential equations

ς Rdzldt

= bR (zl+1 − zl )+ bR (zl−1 − zl )

zl ~ exp − tτ

⎛⎝⎜

⎞⎠⎟ exp ilδ( )

τ −1 = bRζ R

2 − 2cosδ( ) = 4bRζ R

sin2 δ2

Phase shift between adjacent beads

Use the proposed solution in the differential equation results in:

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τ −1 = bRζ R

2 − 2cosδ( ) = 4bRζ R

sin2 δ2

Cyclic Boundary Conditions: zl = zl+NR

NRδ = m2π

NR values of phase shift

δm = 2πNR

m; m = − NR

2−1⎛

⎝⎜⎞⎠⎟ ,..., NR

2

For NR = 10

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τ −1 = bRζ R

2 − 2cosδ( ) = 4bRζ R

sin2 δ2

Free End Boundary Conditions: zl − z0 = zNR−1− zNR−2

= 0

NR −1( )δ = mπ

NR values of phase shift

δm = πNR −1( )m; m = 0,1, 2,..., NR −1( )

dzdl

l = 0( ) = dzdl

l = NR −1( ) = 0

NR Rouse Modes of order “m”

For NR = 10

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τ R =13π 2

ζR

aR2

⎛⎝⎜

⎞⎠⎟

kTR04

Lowest order relaxation time dominates the response

This assumes that ζR

aR2

⎛⎝⎜

⎞⎠⎟

is constant, friction coefficient is proportional to number of monomer units in a Rouse segment

This is the basic assumption of the Rouse model,

ζR ~ aR2 ~ N

NR

= nR

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τ R =13π 2

ζR

aR2

⎛⎝⎜

⎞⎠⎟

kTR04

Lowest order relaxation time dominates the response

Since R02 = a0

2N

τ R ~N 2

kT

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The amplitude of the Rouse modes is given by:

Zm2 = 2

3π 2R02

m2

The amplitude is independent of temperature because the free energy of a mode is proportional to kT and the modes are distributed by Boltzmann statistics

p Zm( ) = exp −FkT

⎛⎝⎜

⎞⎠⎟

90% of the total mean-square end to end distance of the chain originates from the lowest order Rouse-modes so the chain can be often represented as an elastic dumbbell

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Rouse dynamics (like a dumbell response)

dxdt

= −

dUdx

⎛⎝⎜

⎞⎠⎟

ζ+ g(t) = −

ksprxζ

+ g(t)

x t( ) = dt 'exp − t − t 'τ

⎛⎝⎜

⎞⎠⎟

−∞

t

∫ g t( )

τ = ζkspr

Dumbbell Rouse

τ R =ζR

4bR sin2 δ2

δ = πNR −1

m , m=0,1,2,...,NR -1

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Rouse dynamics (like a dumbell response)

g t1( )g t2( ) = 2Dδ t( ) where t = t1 − t2 and δ ( ) is the delta function whose integral is 1

Also, D = kTζ

x t( )x 0( ) =kT exp − t

τ⎛⎝⎜

⎞⎠⎟

ksprτ = ζ

ksprFor t => 0, x2 = kT

kspr

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Predictions of Rouse Model

G t( ) ~ t−12

G ' ω( ) ~ ωη0( )12

η0 = kTρpτ Rπ 2

12~ N

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ω 1ω 2

ω12

ω57

NewtonianFlow

EntanglementReptation

RouseBehavior

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Dilute Solution Chain

Dynamics of the chain

Rouse Motion

Rouse model predicts Relaxation time follows N2 (actually follows N3/df)

Diffusion constant follows 1/N (zeroth order mode is translation of the molecule) (actually follows N-1/df)

Both failings are due to hydrodynamic interactions (incomplete draining of coil)

Predicts that the viscosity will follow N which is true for low molecular weights in the melt and for fully draining polymers in solution

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Dilute Solution Chain

Dynamics of the chain

Rouse Motion

Rouse model predicts Relaxation time follows N2 (actually follows N3/df)

Predicts that the viscosity will follow N which is true for low molecular weights in the melt and for fully draining polymers in

solution

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http://www.eng.uc.edu/~gbeaucag/Classes/MorphologyofComplexMaterials/SukumaranScience.pdf

Chain dynamics in the melt can be described by a small set of “physically motivated, material-specific paramters”

Tube Diameter dTKuhn Length lK

Packing Length p

Hierarchy of Entangled Melts

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Quasi-elastic neutron scattering data demonstrating the existence of the tube

Unconstrained motion => S(q) goes to 0 at very long times

Each curve is for a different q = 1/size

At small size there are less constraints (within the tube)

At large sizes there is substantial constraint (the tube)

By extrapolation to high times a size for the tube can be obtained

dT

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There are two regimes of hierarchy in time dependenceSmall-scale unconstrained Rouse behavior

Large-scale tube behavior

We say that the tube follows a “primitive path”This path can “relax” in time = Tube relaxation or Tube Renewal

Without tube renewal the Reptation model predicts that viscosity follows N3 (observed is N3.4)

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Without tube renewal the Reptation model predicts that viscosity follows N3 (observed is N3.4)

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Reptation predicts that the diffusion coefficient will follow N2 (Experimentally it follows N2)Reptation has some experimental verification

Where it is not verified we understand that tube renewal is the main issue.

(Rouse Model predicts D ~ 1/N)

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Reptation of DNA in a concentrated solution

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Simulation of the tube

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Simulation of the tube

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Plateau Modulus

Not Dependent on N, Depends on T and concentration

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Kuhn Length- conformations of chains <R2> = lKL

Packing Length- length were polymers interpenetrate p = 1/(ρchain <R2>)where ρchain is the number density of monomers

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this implies that dT ~ p

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McLeish/Milner/Read/Larsen Hierarchical Relaxation Model

http://www.engin.umich.edu/dept/che/research/larson/downloads/Hierarchical-3.0-manual.pdf

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