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Viscosity of glass-forming liquids Yuanzheng Yue Aalborg - - PowerPoint PPT Presentation

Viscosity of glass-forming liquids Yuanzheng Yue Aalborg University, Denmark Wuhan University of Technology, China Joint ICTP-IAEA Workshop, Trieste, Italy, Nov. 6-10, 2017 Outline Background and motivation Viscosity models


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SLIDE 1

Viscosity of glass-forming liquids

Yuanzheng Yue

Aalborg University, Denmark Wuhan University of Technology, China

Joint ICTP-IAEA Workshop, Trieste, Italy, Nov. 6-10, 2017

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SLIDE 2

Outline

  • Background and motivation
  • Viscosity models
  • Iso-structural viscosity
  • Non-Newtonian flow
  • Fragile-to-strong transition
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SLIDE 3

Background and motivation

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SLIDE 4

Confucius (孔夫子) stood by a river: "Everyting flows like this, without ceasing, day and night”. Deborah: "Everything flows if you wait long enough, even the mountains”.

About flow

Haraclitus: "everything is in a state of flux".

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SLIDE 5

Flow is everywhere!

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SLIDE 6

Flow is remarkable, but sometimes dangerous!

In philipin In Hawaii

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SLIDE 7

How to judge whether a substance is liquid

  • r solid?

t e D  

If  < t, a substance is a liquid, otherwise, a solid! Time of relaxation Time of observation

A fu fundamental number of f rh rheology: Deborah number (D (De)

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SLIDE 8

Some liquids flow easily, some not. How to quantify this? Measure Viscosity by vis iscometers:

  • Concentric Cylinder
  • Parallel-Plate Compression
  • Capillary
  • Beam Bending
  • Fiber Elongation
  • Sphere penetration
  • Melt containerless levitation
  • ……..
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SLIDE 9

Vis iscosit ity is is a crucia ial quantit ity of gla lass technology.

0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1

  • 2

2 4 6 8 10 12 14

SiO2 Basalt Anorthite fining window annealing glass blowing

log (Pa s) Tg/T (K/K)

fiber drawing window

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SLIDE 10

Viscosity determines

  • Melting conditions
  • Fining behaviour
  • Working ranges
  • Annealing range
  • Upper temperature of use
  • Devitrification rate
  • Glass forming window
  • Glass fiber drawing window
  • Every step of industrial glass formation depends critically on the

viscosity.

  • The glass product relaxation depends on the nonequilibrium viscosity of

the glass, which is a function of composition, temperature, and thermal history.

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SLIDE 11

Viscosity is a key quantity of glass science.

It provides information on

  • Glass dynamics
  • Transport properties
  • Glass structure
  • Liquid fragility
  • Thermodynamics
  • Geology
  • Crystallization
  • ........

Angell plot

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SLIDE 12

Viscosity of a melt varies with

  • Temperature
  • Time
  • Deformation rate
  • Pressure
  • Composition
  • Hydroxyl
  • Crystallization
  • Phase separation
  • Inclusions
  • .......
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SLIDE 13

The non-Arrhenian behavior of liquids is described by liquid fragility.

0.0 0.2 0.4 0.6 0.8 1.0

  • 4
  • 2

2 4 6 8 10 12

SiO2 (Infrasil) DGG NCS (16Na2O10CaO74SiO2) Basalt Seltso Basalt Komso Diabase Obersheld) Diabase Karshamn Anorthosite Diopside 25Na2O25Li2O50P2O5 CaP2O6

Tg/T Log ( in Pa s)

m (slope at Tg)

g T T g T

T d d m

 ) / ( log

It is quantified by the kinetic liquid fragility index m.

  • It is defined as the rate of

the viscosity or relaxation liquid at Tg upon cooling.

  • It is an important dynamic

parameter of glass-forming liquids.

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SLIDE 14

Connection between fragility index (m) and heat capacity jump (Cp) in glass

0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 0.8 1.0 1.2 1.4 1.6

Cp (Jg

  • 1K
  • 1)

Ca(PO3)2 0.37 NaO-CaO-SiO2 0.27

T/Tg (K/K) Cp/Cpg Tg

Cp 0.4 0.6 0.8 1.0

  • 2

2 4 6 8 10 12

high m

Na2O-CaO-SiO2 (F1/2=0.46) Ca(PO3)2 (F1/2=0.81)

Tg/T Log0 (Pa s)

low m

) 1 (

0 

 

m m g T A p

C

Smedskjaer, et al. J. Phys. Chem. B, 2011

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SLIDE 15

Viscosity models

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SLIDE 16

Vogel-Fulcher-Tamman (VFT) Model

) exp(

' T T A  

 

where ∞ is the high temperature limit of viscosity, and A and T0 are constants. Or

log log

T T A   

  

Vogel, Phys. Zeit. 22 (1921) 645; Fulcher, J. Am. Ceram. Soc. 8 (1925) 339 Tammann, Hesse, Z. Anorg. Allg. Chem. 156 (1926) 245

T0 = Tk? This is a debating problem.

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SLIDE 17

Adam-Gibbs (AG) Model (Entropy model )

) exp(

) ( ' T TS B

c

 

where ∞ is the high temperature limit of viscosity, B is constant, and Sc(T) is the configurational entropy as a function of temperature:

Adam and Gibbs, J. Chem. Phys. 43 (1965)139

       

K

T T C T S

p c

ln ) (

This is a problem too.

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SLIDE 18

Avramov-Milchev (AM) Model

F T Tg

AM

B ) ( log log  

 

where ∞ is the high temperature limit of viscosity, BAM constant, and Tg the glass transition temperature, and F is a measure of liquid fragility. F=m/BAM, where m is the Angell fragility index

Avramov and Milchev, J. Non-Cryst. Solids 104 (1988) 253

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SLIDE 19

Angell-Rao (AR) model

1000 1500 2000 2500

  • 2

2 4 6 8 10 12 14 16

data Angell-Rao model

log  (Pa s) T (K)

log  = -3.45+0.434exp(3931/T-(-0.09))

Anorthite

This 4-parameters model with fits the data excellently and bears physical meaning. Angell and Rao, JCP (1972)

𝑚𝑝𝑕𝜃 = 𝑚𝑝𝑕 𝜃∞ + 𝐵𝑓𝑦𝑞(𝐶 𝑈 − 𝐷)

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SLIDE 20

Other models

  • Free volume model
  • Doremus model
  • Shoving model
  • Sanditov model
  • Parabolic model
  • …….

See recent reviews:

  • M. I. Ojovan, Adv. Condensed Mat. Phys., 2008,

S.V. Nemilov, J. Non-Cryst. Solids, 2011

  • Q. Zheng, J.C. Mauro, J. Am. Ceram. Soc., 2017.
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SLIDE 21

Derivation of our new model (MYEGA)

 

kT H

f   exp 3

  ln fNk Sc

c

TS B3

log log  

 

 

T C T K exp

log log  

 

Topological degrees of freedom A simple two-state system The configurational entropy Adam-Gibbs expression

Mauro, Yue, Ellison, Gupta, Allan, PNAS 106 (2009) 19780

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SLIDE 22

The viscosity-temperature relation for most liquids can be described by VFT and AM models, even better by MYEGA:

฀ log  log  B T exp C T      

0.0 0.2 0.4 0.6 0.8 1.0

  • 4
  • 2

2 4 6 8 10 12 SiO2 Window glass Corning aluminosilicate Basalt Anorthite Glycerol Propylene carbonate Triphenylethe O-terphenyl 4Ca(NO3)2-6KNO3

log (Pa s) Tg/T (K/K)

fragility

 

                           

  

1 1 log 12 exp log 12 log log T T m T T

g g

   

  T relation for oxide, ionic and molecular liquids

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SLIDE 23

The new model is physically reasonable. (Fitting results based on 1000 glasses)

20 40 60 80 100 120 140 160

  • 6
  • 5
  • 4
  • 3
  • 2
  • 1

Log[ (Pa-s)] Count

VFT AM Current Model

high T low T

New model:

  • Sc converges at T=
  • Sc = 0 at T=0
  • log: the narrowest distribution
  • log=-3: A universal value?

log=-3

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SLIDE 24

The new model is practically useful.

2 4 6 8 10 12 0.5 0.6 0.7 0.8 0.9 1.0 1000/[T (K)] Log[Viscosity (Pa-s)] Measured VFT Avramov New Model

Used for Fitting Predicted Isokom

  • 0.5 K
  • 5.6 K

9.4 K

  • 12
  • 8
  • 4

4 8 12 16 Average Error (K)

(c)

VFT AM Current Model 5.6 K 8.7 K 12.1 K 4 8 12 16 VFT AM Current Model RMS Error (K)

(b)

The new model shows stronger ability to predict low T viscosity data from high T viscosity data than the other 3-parameter models.

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SLIDE 25

Is there a universal log η∞ value?

Results on 946 Corning compositions

It is about -3!

Zheng, et al. Phys. Rev. B 2011

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SLIDE 26

Tg,vis (from viscosity) and Tg,DSC (from DSC)

  • Y. Z. Yue, J. Non-Cryst. Solids 2008, 2009

600 800 1000 1200 1400

0.8 1.0 1.2 1.4 1.6 1.8

qh=qc=10 K/min

upscan downscan

Tg

Cp (Jg-1K-1) T(K)

2 4 6 8 10 12 14 data AM fit

Ca(PO3)2 melt

log  (Pa s)

Tg,10K/min = Tlog=12

200 400 600 800 1000 1200 1400 200 400 600 800 1000 1200 1400

NaPoLi

water?

measurements linear fit

Tg,DSC (K) Tg,vis (K) silicate Silica?

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SLIDE 27

Practical use of the MYEGA

       

T C T B exp log log  

 

                             

  

1 1 log log exp log log log log T T m T T

g Tg g Tg

     

                           1 1 15 exp 15 3 log T T m T T

g g

For inorganic systems η∞ ≈ 10-3 Pa s For inorganic systems ηTg ≈ 1012 Pa s

Tg T T Tg d d

m

) / ( log

Now, only two parameters, m and Tg, remain. Meaning: the entire log~T relation can be estimated just by DSC!

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SLIDE 28

Be careful with the difference between mvis and mDSC

  • mvis > mDSC
  • mvis - mDSC due to Arrhenian approximation
  • f non-Arrhenius behavior
  • mvis – mDSC increases as fragility increases

     

1 m m f m m m m

DSC DSC vis

    

A model:

28

mvis = 1.289(mDSC-m0)+m0

Zheng, Mauro, Yue, J. Non-Cryst. Solids. 2017

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SLIDE 29

The entir ire vis iscosit ity-temperature curve can be be determin ined by y DSC!

Advantages of the DSC method:

  • It is simpler.
  • Takes much less time than

viscometry technique.

  • Uses smaller samples.
  • Measure both good and poor

glass forming systems.

Example

Based on the facts:

  • Tg and mDSC are measurable by DSC
  • mDSC can be converted to mvis.
  • log10=-3
  • Tg corresponds to 1012 Pa s

29

                           1 1 15 exp 15 3 log T T m T T

g g

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SLIDE 30

Derivation of VFT from MYEGA

  • In the high temperature limit, -K/T can be expanded in a Taylor series:

M.M. Smedskjaer, J.C. Mauro, Y.Z. Yue, J. Chem. Phys. 131, 244514 (2009).

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SLIDE 31

Divergent at a finite T ?

Zhao, Simon, McKenna, Nature Comm, (2013)

Using 20-million year-old amber, Zhao, et al. provided an implication against the existence of the divergence at a finite T.

MYEGA VFT Parobolic form

See also Hecksher, et al., Nature Phys. (2008)

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SLIDE 32

Iso-structural viscosity or non- equilibrium viscosity

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SLIDE 33

Comparison between the measured iso data and the iso data calculated from models

6 8 10 12 14 16 4 8 12 16 measured iso measured eq linear fit of iso MYEGA fit of eq AM AGS VFT

log  ( in Pa s) 1/T (10

  • 4 K
  • 1)

window glass

MYEGA

Tg=824 K

Data from Mazurin (1982)

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SLIDE 34

11 12 13 14 15 8 10 12 14 16 18 MYEGA AM AGS Tf=0.96Tg

log  ( in Pa s) 1/T (10

  • 4 K
  • 1)

window glass

Tg VFT

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SLIDE 35

Non-Newtonian flow

(Shear rate dependence of viscosity) (Shear thinning)

slide-36
SLIDE 36

0.0 0.2 0.4 0.6 0.8 200 400 600 800

Newtonian flow

NaPoLi

NCS

 (MPa)

Non-Newtonian shear flow of glass-forming liquids (soda lime silicate vs Li-Na metaphosphate)

0.01 0.1 1 0.1 1

NaPoLi NCS

/0

in s-1

    in s-1

)) exp( (1 ) η (η η

g g

            

)] exp( [1 ) (1

g

                  

  g

Y.Z. Yue and R. Brückner, J. Non-Cryst. Solids (1994)

0=109 Pa s It is attributed to orientation of structural units.

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SLIDE 37

Fragile-to-strong transition

(An abnormal liquid dynamic behaviour)

slide-38
SLIDE 38

A normal liq liquid id – a a win indow gla lass!

6 8 10 12 14 4 8 12 16

log (Pa s) 1/T (10-4 K-1) window glass

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SLIDE 39

A normal liquid – a window glass!

6 8 10 12 14 4 8 12 16

log (Pa s) 1/T (10-4 K-1) window glass

                           1 1 15 exp 15 3 log T T m T T

g g

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SLIDE 40

An abnormal case – a metallic liquid!

0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12

La55Al25Ni15Cu5 log (Pa s) Tg/T

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SLIDE 41

An abnormal case – a metallic liquid! Its dynamics cannot be decribed by a 3-parameters model.

0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12

La55Al25Ni15Cu5

SD: 0.181 loginf = -13.2

log (Pa s) Tg/T

SD: 0.48 loginf = -7.5

                           1 1 15 exp 15 3 log T T m T T

g g

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SLIDE 42

We recall a famous liquid – water, which shows an abnormal dynamic behaviour to – fragile-to-strong transition

0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12 Water viscosity data

from Hallett (1963) from Angell (2002)

MYEGA fit water F-S

log(Pa s) Tg/T

SiO2 Tg=162 K

Ito, Moynihan, Angell, Nature 1999

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SLIDE 43

More metallic liquids similar to water, which exhibits Fragile-to-Strong (F-S) Transition

0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12 water OTP

Gd55Al25Co20 Gd55Al25Co10Ni10 Pr55Ni25Al20 water

log(Pa s) Tg/T

SiO2

The data of these liquids cannot be described by a single model.

Zhang, Hu, Yue, Mauro, J. Chem. Phys. (2010) Way, Wadhwa, Busch, ACTA Mater. (2007)

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SLIDE 44

f = m'/m

0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12

m

La55Al25Ni20 La55Al25Ni15Cu5 La55Al25Ni5Cu15 Al87Co8Ce5 Ce55Al45

b

Tg/T

m'

  • 4
  • 2

2 4 6 8 10 12

Sm55Al25Co10Ni10 Sm50Al30Co20 Sm55Al25Co10Cu10

log(Pa s)

a

The extent of the F-S transition can be determined by: f > 1: F-S transition f = 1: no F-S transition f < 1: never seen (unphysical?)

More….

Zhang, Hu, Yue and Mauro, JCP (2010)

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SLIDE 45

The factor f confirms the existence of the F-S transition in the investigated MGFLs.

The calculated f values for different MGFLs

slide-46
SLIDE 46

Is there a model that can describe the abnormal liquid dynamic behaviour? Question:

slide-47
SLIDE 47

Yes! But, to do so, the MYEGA has been generalized to the form:

0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12

La55Al25Ni20 La55Al25Ni15Cu5

log(Pa s) Tg/T

                    

T C W T C W T

2 2 1 1

exp exp 1 log log  

C1 and C2: two constraint onsets . W1 and W2: normalized weighting factors. If C1 = C2, the equation reduces to that for normal liquids.

Fragile term Strong term

Zhang, Hu, Yue, Mauro, JCP (2010)

slide-48
SLIDE 48

Two “phases” co-exists in the F-S crossover regime: Strong and fragile phases

0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 4
  • 2

2 4 6 8 10 12

data

  • Eq. (7)

fragile term strong term

log(Pa s) Tg/T

b

La55Al25Ni15Cu5

  • 4
  • 2

2 4 6 8 10 12

fragile phase

data

  • Eq. (7)

fragile term strong term

a

La55Al25Ni20

strong phase

Fragile phase (LDA):

  • higher Tg
  • higher activation enthalpy
  • higher entropy
  • lower density

Strong phase (HDA):

  • lower Tg, i.e., actual Tg of the

mixed liquid

  • lower activation enthalpy
  • lower entropy
  • higher density

The fragile phase is cooled, the F-S transition intervenes, mitigating the sharp increase in viscosity with decreasing T.

slide-49
SLIDE 49

Non-montonic structural response to sub-Tg annealing measured by x-ray scattering

Annealing dependence

  • f the structural unit size

Annealing dependence

  • f the correlation length

Critical temperature for the dramatic decreases in Rc: Tc ~ around 1.3Tg

Total structural factors PDF

slide-50
SLIDE 50

Schematic scenario of the structural evolution during fragile-to-strong transition

Zhou, et al. J. Chem. Phys. (2015)

slide-51
SLIDE 51

Containerless aerodynamic levitation (ADL) melting to avoid heterogeneous nucleation

2180 2200 2220 2240 2260 2280 2300

0.2 0.4 0.6

Melting of Al2O3

η = 3𝑁 20𝜌𝑆 Γ

Forced oscillation and decay

  • Extend the supercooled region
  • Measure viscosity
  • In-situ structural characterization
slide-52
SLIDE 52

Fragile-to-strong transition in aluminates

0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 2

2 4 6 8 10 12

log (Pa s) Tg/T (K/K)

m=45 m=81 log0= -2 (Pa s) 3CaO-Al2O3 MYEGA fitting Tg=1075.2 K

                         1 1 15 exp 15 3 log T T m T T

g g

Fitted with

(MYEGA)

slide-53
SLIDE 53

The data can be described by the generalized MYEGA

Parameter Value log0 (Pa s)

  • 2.039

W1 0.018 C1 7324 W2 1.68E-4 C2 1407

𝑚𝑝𝑕𝜃 = 𝑚𝑝𝑕𝜃0 + 1 𝑈[𝑋

1 exp −𝐷1

𝑈 + 𝑋

2exp(−𝐷2

𝑈 )] 𝑈

𝑔−𝑡 =

𝐷1 − 𝐷2 𝑚𝑜𝑋

1 − 𝑚𝑜𝑋 2

0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  • 2

2 4 6 8 10 12

log (Pa s) Tg/T (K/K)

Tf-s=1263 K 3CaO-Al2O3

Strong term Fragile term Generalized MYEGA fit Viscosity data

slide-54
SLIDE 54

I would like to all my co-authors and collaborators.

slide-55
SLIDE 55

Thank you for your attention!