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Advanced Physical Metallurgy Advanced Physical Metallurgy
“ “ Amorphous Materials Amorphous Materials ” ”
Eun Eun Soo Soo Park Park
Office: 33-316
Telephone: 880-7221
Email: espark@snu.ac.kr
Office hours: by an appointment
2009 spring
03.16. 2009
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Contents for previous class Contents for previous class
• Glass transition
• Glass: Solid? or liquid?
• Free volume and the glass transition
- Classification of phase transition
1) Microstructural observation 2) Thermal analysis
- DSC (Differential Scanning Calorimetry)
• Amorphous vs Nanocrystalline
: Characterization of structure by pair distribution function
local clusters with atomic scale are difficult to identify by conventional observation tools of microstructure.
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Free volume and the glass transition Free volume and the glass transition
Free volume = specific volume (volume per unit mass) of glass - specific volume of the corresponding crystal
At the glass transition temperature, Tg, the free volume increases leading to atomic mobility and liquid-like behavior. Below the glass transition temperature atoms (ions) are not mobile and the material behaves like solid
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Silica - SiO
2Amorphous silica Crystalline SiO2
Si
O
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Glass
Glass : undercooled : undercooled liquid with high viscosity liquid with high viscosity
A solid is a materials whose viscosity exceeds 10
A solid is a materials whose viscosity exceeds 1014.614.6 poisepoise cf) liquid ~cf) liquid ~1010--22 poisepoise
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Definitions
• A calorimeter measures the heat into or out of a sample.
• A differential calorimeter measures the heat of a sample relative to a reference.
• A differential scanning calorimeter does all of the above and heats the sample with a linear temperature ramp.
• Differential Scanning Calorimetry (DSC) measures the temperatures and heat flows associated with transitions in materials as a function of time and temperature in a
controlled atmosphere.
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Schematic of DSC Instrument Schematic of DSC Instrument
N2 flow
Pt thermopile
Sample Reference
Pt thermopile
T1 T2
heater heater
Low mass 1 gram
ΔW
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79.70°C(I) 75.41°C
81.80°C
144.72°C 137.58°C 20.30J/g
245.24°C
228.80°C 22.48J/g
Cycle 1
-0.5 0.0 0.5 1.0 1.5
Heat Flow (W/g)
0 50 100 150 200 250 300
Temperature (°C)
Sample: PET80PC20_MM1 1min Size: 23.4300 mg
Method: standard dsc heat-cool-heat Comment: 5/4/06
DSC File: C:...\DSC\Melt Mixed 1\PET80PC20_MM1.001 Operator: SAC
Run Date: 05-Apr-2006 15:34
Instrument: DSC Q1000 V9.4 Build 287
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Example DSC
Example DSC – – PET PET
(polyethylene terephthalate(polyethylene terephthalate))T
gT
cT
m9
• Glass transitions
• Melting and boiling points
• Crystallization time and temperature
• Percent crystallinity
• Heats of fusion and reactions
• Specific heat capacity
• Oxidative/thermal stability
• Rate and degree of cure
• Reaction kinetics
• Purity
What Can You Measure with DSC?
What Can You Measure with DSC?
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Contents for today
Contents for today ’ ’ s class s class
1) Microstructural observation 2) Thermal analysis
- DSC (Differential Scanning Calorimetry)
• Amorphous vs Nanocrystalline
: Characterization of structure by pair distribution function
local clusters with atomic scale are difficult to identify by conventional observation tools of microstructure.
3) Intensive Structural Analysis: radial distribution function
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Amorphous vs Nanocrystalline
1) Microstructural observation XRD, (HR)TEM, EXAFS …
2) Thermal analysis
DSC (Differential Scanning Calorimetry)
cf) - glass nucleation & growth (perfect random)
- local clustering: quenched-in nuclei only growth - Nanocrystalline growth
local clusters with atomic scale are difficult to identify by conventional observation tools of microstructure.
: Measure heat absorbed or liberated during heating or cooling
: Characterization of structure by pair distribution function
3) Intensive Structural Analysis: radial distribution function
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Chen & Sapepen (Harvard,1988)
Glass :
glass nucleation & growth (perfect random)
Isothermal annealing
: rapid heating + maintain the temp.
) exp(
1 bt
nx = − −
(n: 2~4, nucleation mechanism)Corresponding heat release
)
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( − ⋅
−Δ
=
− H x n bt
ndt dH
(ΔH: total transformation enthalpy)
crystallized volume fraction after time t
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Fig. 1.4 Isothermal enthalpy release rates for crystallite nucleation and growth (solid line) and crystallite grain-coarsening mechanisms (dashed line)
Glass
: exothermic peak at non-zero time
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r
mdt M
dr = ⋅ γ
(M: atomic mobility, γ : interficial surface tension) corresponding heat release
/
2) 0 ( )
0
( ⋅ ⋅
+=
− H r M r
mdt
dH γ
(H(0): zerotime enthalpy of a grain size of r (0))
Nanocrystalline grain growth
Monotonically decreasing curve
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Fig. 1.4 Isothermal enthalpy release rates for crystallite nucleation and growth (solid line) and crystallite grain-coarsening mechanisms (dashed line)
Glass
: exothermic peak at non-zero time
Nanocrystalline
(or quenched-in nuclei)
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Amorphous vs Nanocrystalline
1) Microstructural observation XRD, (HR)TEM, EXAFS …
2) Thermal analysis
DSC (Differential Scanning Calorimetry)
cf) - glass nucleation & growth (perfect random)
- local clustering: quenched-in nuclei only growth - Nanocrystalline growth
local clusters with atomic scale are difficult to identify by conventional observation tools of microstructure.
: Measure heat absorbed or liberated during heating or cooling
: Characterization of structure by pair distribution function
3) Intensive Structural Analysis: radial distribution function
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Effect of quenched
Effect of quenched - - in in quasicrystal quasicrystal nuclei nuclei
Fully amorphous structure β-Zr particle(~70 nm) in amorphous matrix
50 nm 200 nm
(a)
β-Zr
(b)
(b) Zr57Ti8Nb2.5Cu13.9Ni11.1Al7.5 (a) Zr63Ti5Nb2Cu15.8Ni6.3Al7.9
2 mm rod
200 nm
I5 I3 I2
I-phase
3 mm rod
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0 20 40 60
3.55 3.60 3.65 3.70
c
Isotherm in DSC
[b]
[b]
[a]
Effect of quenched
Effect of quenched - - in in quasicrystal quasicrystal nuclei nuclei
Isothermal annealing
5 nm
19HRTEM image in [b] alloy
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1 2 3 4 5 6
0.0 0.5 1.0 1.5 2.0
FT[k
3 ·χ(k)]
r( A )
alloy (2) rib.
alloy (2) 1 mm alloy (2) 2 mm alloy (2) 3 mm
(c)
1 2 3 4 5 6
0.00 0.05 0.10 0.15 0.20
r(A ) FT[k2 ·χ(k)]
alloy (2) rib.
alloy (2) 1 mm alloy (2) 2 mm alloy (2) 3 mm
(a)
Zr-K edge
Ni-K edge
1 2 3 4 5 6
0.0 0.5 1.0 1.5 2.0 2.5
r(A ) FT[k3 ·χ(k)]
alloy (2) rib.
alloy (2) 1 mm alloy (2) 2 mm alloy (2) 3 mm
(b)
Cu-K edge
EXAFS analysis
Distinctive structural change around Ni atom
Intensity change due to microstructural change
(b) Zr57Ti8Nb2.5Cu13.9Ni11.1Al7.5
Effect of quenched
Effect of quenched - - in in quasicrystal quasicrystal nuclei nuclei
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Amorphous vs Nanocrystalline
1) Microstructural observation XRD, (HR)TEM, EXAFS …
2) Thermal analysis
DSC (Differential Scanning Calorimetry)
cf) - glass nucleation & growth (perfect random)
- local clustering: quenched-in nuclei only growth - Nanocrystalline growth
local clusters with atomic scale are difficult to identify by conventional observation tools of microstructure.
: Measure heat absorbed or liberated during heating or cooling
: Characterization of structure by pair distribution function
3) Intensive Structural Analysis: radial distribution function
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Characterizing the structure
Characterizing the structure - - radial distribution function, radial distribution function
also called pair distribution function
Gas, amorphous/liquid and crystal structures have very different radial distribution function
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Radial distribution function
Radial distribution function - - definition definition
1. Carve a shell of size r and r + dr around a center of an atom. The volume of the shell is dv=4πr2dr 2. Count number of atoms with
centers within the shell (dn) 3. Average over all atoms in the
system
4. Divide by the average atomic density <ρ>
dr
r
g(r) = 1
ρ
dn(r,r + dr)
dv(r,r + dr)
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Properties of the radial distribution function Properties of the radial distribution function
For gases, liquids and amorphous solids g(r) becomes unity for large enough r.
The distance over which g(r) becomes unity is called the correlation distance which is a measure of the extent of so- called short range order (SRO)
The first peak corresponds to an average nearest neighbor distance Features in g(r) for liquids and
amorphous solids are due to packing (exclude volume) and possibly bonding characteristics
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Radial Distribution Function
Radial Distribution Function - - Crystal and Liquid Crystal and Liquid
Q(r) = g(r) −1 ~ 1
r sin(r / d + ϕ )exp(r / λ )
-15 -10 -5 0 5 10 15
0 1 2 3 4 5 6 7
rQ(r)
r [σ]
crystal T=1000K fit numerical data
-6 -4 -2 0 2 4 6
0 1 2 3 4 5 6 7 8
rQ(r)
r [σ]
NaCl melt T=1000K ρ*=0.28 fit simulations
Liquid/amorphous g(r), for large r exhibit oscillatory exponential decay Crystal g(r) does not exhibit an exponential decay (λ → ∞)
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Radial distribution functions and the structure factor Radial distribution functions and the structure factor
• The structure factor, S(k), which can be measured experimentally (e.g. by X-rays such as EXAFS) is given by the Fourier transform of the radial distribution function and vice versa
Radial distribution functions can be obtained from experiment and compared with that from the structural model
S(k) =1+ 4 π ρ
k r[g(r) −1]
0
∞
∫ sin(kr)dr
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2 4 6 8 10 12
-4 -2 0 2 4
Cu60Zr40 Cu50Zr50
Cu47.5Zr40Be12.5
k3 ·χ(k)
k(Å-1)
Cu K-edge
1 2 3 4
0 1 2 3 4
Cu60Zr40 Cu50Zr50
Cu47.5Zr40Be12.5 1/7 Cu foil
FT[k3 ⋅χ(k)]
r (Å)
Cu K-edge
Radial distribution functions
Radial distribution functions Structure factorStructure factor
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More detailed structural characterization
More detailed structural characterization -- VoronoiVoronoi PolyhedraPolyhedra
• Draw lines between a center of an atom and nearby atoms.
• Construct planes bisecting the lines perpendicularly
• The sets of planes the closest to the central atom forms a convex polyhedron
• Perform the statistical analysis of such constructed polyhedrons, most notably evaluate an average number of faces
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More detailed structural characterization
More detailed structural characterization -- VoronoiVoronoi PolyhedraPolyhedra
• For no-directional bonding promoting packing number of faces is large ~ 13-14 (metallic glasses)
• For directional bonding (covalent glasses) number of faces is small
• Ionic glasses - intermediate
• In all cases the number of faces is closely related to the number of nearest neighbors (the coordination number)
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Medium range order and radial distribution function Medium range order and radial distribution function
Radial distribution functions (and also X-ray) of amorphous silicon and model Si with ~ 2 nm crystalline grains are essentially the same - medium range order difficult to see by standard characterization tools.
Such structure is called a paracrystal.
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Radial Distribution Function
Nanocrystalline material
Nanocrystalline materials shows clear crystalline peaks with some background coming from the grain boundary
0 2 4 6 8 10 12 14
0 0.3 0.6 0.9 1.2
G(r)
r [a0]
nanocrystalline 4nm grain size