X-Ray Diffraction and its Application in the Industry...
Transcript of X-Ray Diffraction and its Application in the Industry...
1
X-Ray Diffraction and its
Application in the Industry
Sabine Verryn
Overview
� General & analytical procedures
� Iron ore sinters
� Ilmenite roasting
� Oxidation of Titania Slags
� Heavy Mineral Sands
� Coal & related materials
2
3
LiquidState
Crystalline(ordered)
SolidState
Atoms, ions, molecules
GaseousState
Amorphous(disordered)
Matter
The Crystalline State
4
Pyrite – FeS 2
Ruby - Al 2O3
The Crystalline State
3
X-Ray Diffraction (XRD)
� Each crystalline phase has a unique powder diffraction pattern
� Therefore it is possible to distinguish between compounds as the diffraction method is sensitive to structure and not just composition
� The powder diffraction pattern for the spinel MgAl2O4 looks different from the powder pattern of a MgO and Al2O3 mixture
� It is possible to distinguish between different polymorphic forms of the same compound
� Can distinguish between rutile and anatase (Both TiO2)
Crystallographic Planes
� nλ = 2d sin θ
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What is XRD ?
� Result of an XRD measurement is a diffractogram, showing crystalline phases present (peak positions), phase concentrations (peak areas), amorphous content (background hump) and crystallite size/strain (peak widths).
Position [°2Theta] (Cobalt (Co))
20 30 40 50 60 70 80
Counts
0
5000
10000
15000
IronOreHematite 70.2 %Magnetite 4.9 %Goethite 14.3 %Quartz 10.6 %
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PHASE IDENTIFICATION
� indirect method, like a police fingerprint
� Fingerprint � Database � Match found
� Identification �� More knowledge
� Distances between planes in a crystalline lattice are measured
Position [°2Theta] (Cobalt (Co))
20 30 40 50 60 70 80
Counts
0
5000
10000
15000
IronOreHematite 70.2 %Magnetite 4.9 %Goethite 14.3 %Quartz 10.6 %
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5
XRD more info…
� X-ray diffraction has progressed significantly in the past decade from a mainly qualitative technique for the identification of crystalline materials to a quantitativetool
� Rietveld Analysis� The most reliable way for the quantification of crystalline (and
amorphous phases)� The method uses the full XRD pattern to refine the phase
quantities� Preferred orientation of particles can be modelled� Other important information such as particle size and lattice
strain can also be determined� The results are now very reliable – provided that they are
independently checked by other methods
Phase Quantification using XRD
� However… No textural features can be observed
� No distinction between primary and secondary minerals� Can distinguish phases of same composition (hematite, magnetite
and wuestite) (rutile, anatase) etc� A standard needs to be added to determine amorphous phase
content
� Aim: illustrate the possibilities of this method, but
also point out potential errors and pitfalls using
various industrial examples
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2 theta / deg
I/ rel.
15 20 25 30 35 40 45 50 55 60 65 70
2443
1221
0
M3O5
002
020
021
022
111
112
023
004130 113
131 024
114
133
200
025
202
115
151 006
152
061
026223
204
241
224
136
064
J5.RAW
XRD - Structure
M3O5
• The XRD pattern is a direct representation of the structure of a phase
• Very similar patterns are possible when isomorphous replacement takes place, eg., replacement of Al for Cr, and Fe for Mg in spinelssuch as magnetite and chromite.
• The experimental XRD pattern is compared to the calculated one. The Rwp factor is an indication of the correspondence between the two.
Requirements for Rietveld Analysis
� Accurate crystal structure parameters
� Well prepared samples with sufficiently small particle sizes
� Sample presentation as random as possible, although preferred orientation can be corrected
� Well aligned instrumentation so that accurate data can be collected
� Data collected with sufficient resolution (~0.01°2θθθθ ) and adequate intensity (~10K counts per step)
� Elimination of sample micro-absorption by selection of suitable radiation
� Elimination of sample fluorescence by use of monochromators
� More routine use of internal standards to check the accuracy of refinement
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Analytical method - XRD
� Crushing, splitting, milling, (micronizing)
� preparation for XRD analysis using back a loading method.
� Analysing using a PANalytical X’Pert Pro powder diffractometerwith X’Celerator detector and variable divergence- and receiving slits with Ni filtered Cu-Kα and Fe filtered Co-Kα radiation
� Phase identification using X’Pert Highscore plus software
� Quantification by Rietveld software using Fundamental Parameter Approach
� Addition of 15 to 20 per cent Si powder (Aldrich 99% purity), for verification of results or determination of non-crystalline phase content
� micronized in a McCrone micronizing mill
Example: Iron Ore Sinter Characterization
� When iron ores are crushed, large amounts of fines are
produced
� Reduce permeability of material in a blast furnace� Essential to introduce feed in a lumpy form
� Fines contain large amounts of iron units
� Discarding these fines would be a significant commercial loss to the steel making industry
� The ore fines can be agglomerated by sintering at
elevated temperatures (± 1300ºC)
� Sinters are the preferred blast furnace feedstock
because of feed homogeneity - resulting in better
steels
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Sinters in Steelmaking
Heterogeneous assembly of mineral phases – dependent on temperature (coke addition), and composition
The Sinter Process
Heterogeneous assembly of mineral phases – dependent on temperature (coke addition), and composition
Heat supplied by the combustion of coke breeze – dependent on coke addition
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Sinter Phases - Quality of the Sinter
� C2S can form a number of polymorphs.
� With decreasing temperature:
� α-polymorph - then α’ - then β - finally γ-C2S form.
� The transformation between the β and γ-C2S is accompanied with a large
volume increase, commonly causing a spectacular disintegration.
� Therefore the β -polymorph in sinters is undesirable
� Hematite – less desirable in the Blast Furnace� Breakdown of sinter due to reduction reaction :
� 3Fe2O3
+ CO = 2Fe3O4
+ CO2
∆V = 15-20%
� Other Calcium silicates and ferrites� Gehlenite (Ca
2(Al,Fe)(AlSi)O
7) is the preferred Ca silicate – no decrepitation
reaction
� Silicate bonding increases strength but lowers reducibility� CaO/SiO2 ratio optimized for that
� SFCA is the most elusive and difficult phase to characterize
SFCA
� SFCA (silico-ferrite of calcium and aluminium) are common phases in iron ore sinters
� SFCA M14+6n
O20+8n
(Aenigmatite str.)
� SFCA M14O20 (M/O = 0.700)
� SFCA-I M20O28 (M/O = 0.714)
� SFCA-II M26O36 (M/O = 0.722)
� Millions of tons are produced and sinter properties are dependent on SFCA type and quantity
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Sinter Compositions• SFCA is a major
component. However,
small compositional
changes can affect the
phase assemblage
drastically
• We need to form SFCA-I
(Acicular SFCA) - this
phase has the highest Fe
content and forms the
strongest sinter
• Temperature and Al-
content are the most
important factors affecting
SFCA-I stability
Sinters: Phase composition - methods
� Modal analysis
� Method where textures are observed which are
important for sinter quality – but time consuming
and only on 2-dimensional space
� Automated optical image analysis based on
reflectivity
� 2-dimensional space
� SEM based image analysis based on grey level
and chemical composition
� Cannot easily distinguish between grey level of
hematite, magnetite and wuestite
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Sinters: Phase quantification using XRD
However…
� No textural features can be observed
� No distinction between primary and secondary
hematite
� Can distinguish between hematite, magnetite
and wuestite
Evaluation of Mittal Sinters by XRD
� XRD not in general use to evaluate sinters. Point
counting is used
� Are our results (coming from ~500g of sample
representative of the samples we took on the plant?
� Starting with 2Kg Bulk plant sample� Whole sample crushed in a gyratory crusher� Whole sample milled in a ball mill for ½ hour� Riffled to 1 Kg� Ball milled� Riffled to 500g – used for XRD & XRF analysis� XRD analysis according to the method described in the
beginning
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XRF Analysis
� Phases observed:
� magnetite, hematite, beta- di-calcium silicate, SFCA,
SFCA-II and minor quartz
XRF Analysis
0
10
20
30
40
50
60
70
80
SiO2 Al2O3 Fe2O3 MnO MgO CaO
%
Sample 1
Sample 2
Sample 3
Sample 4
Calculated XRD Patterns for SFCA-phases (CoKα)
Position [°2Theta]
10 20 30 40 50 60 70 80
Counts
0
1000
2000
0
200
400
600
0
200
400
600
SFCA1
SFCAII
SFCA
The structures of SFCA, SFCA-I and SFCA-II were determined at CSIRO by Mumme and co-workers
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Analysis of Variance
� We need to test the reproducibility of our
Rietveld quantification – same mount
� We need to test the reproducibility of our
sample packing and sample presentation to
the beam- same sub-sample
� We need to test the homogeneity and
representativeness of our subsamples –
different sub-samples
Analysis of Variance
C2S Hematite Magnetite SFCA I SFCA SFCAII Silicon
Identical Sample Mount
Mean 9.30 8.91 23.81 3.54 15.31 22.46 16.22 Standard Deviation 0.54 0.16 0.51 0.98 1.54 1.37 0.26
Same Subsample - Different Sample Mount
Mean 9.35 9.01 23.80 3.25 15.56 22.46 16.17 Standard Deviation 0.49 0.23 0.57 0.61 1.28 1.46 0.36
Different Subsamples
Mean 9.16 9.04 23.76 3.53 15.54 22.35 16.19 Standard Deviation 0.54 0.43 0.52 0.97 1.69 1.37 0.43
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Synthetic SFCA: EMP analysis
0.1
1
10
100
1 3 5 7 9 11 13 15 17 19 21 23 25
Analysis Spot Number
Wei
ght %
Mg
Al
Si
Ca
Fe
53.5210.492.311.620.5329.97Starting Composition
0.650.470.160.170.030.40Standard Deviation
53.2310.202.611.830.5931.98Mean
FeCaSiAlMgO
Synthetic SFCA: Rietveld refinement – SFCA
Rwp = 6.36
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Synthetic SFCA: Rietveld refinement – SFCA + SFCA-II
Rwp = 4.68
Mixture
� 45 weight % SFCA (although refinement not
defined totally)
� synthesized
� 25 weight % natural magnetite
� Contains some ilmenite
� 15 weight % synthetic hematite
� 15 weight % synthetic C2S (larnite)
� Micronized in McCrone mill to obtain homogeneity
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Mixture: Rietveld refinement (1)
Refinement No 1
05
101520253035404550
Larnite Hematite Ilmenite Magnetite SFCA
Wei
ght %
Standard
Larnite 15
Hematite 15
Magnetite 25
SFCA 45Rwp = 3.3
Mixture: Rietveld refinement (2)
Refinement No 2
05
10152025303540455055
Larnite Hematite Ilmenite Magnetite SFCA SFCAII TotalSFCA
Wei
ght %
Standard
Larnite 15
Hematite 15
Magnetite 25
SFCA 45
Rwp = 2.84
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Conclusions - Iron Ore Sinters
� Iron ore sinters are very complex in spite of their high
iron content
� The SFCA phases are still poorly understood – in spite
of good work
� XRD has the potential to give accurate, reproducible
phase quantification of iron ore sinters – despite
uncertain SFCA characteristics
� With care, it can be used to examine and evaluate
plant performance
� More work necessary
Cluster Analysis – Statistical data evaluation
� Huge numbers of samples are analyzed for exploration, process
and quality control in industrial environments
� Large amount of data
� Time effective method needed for data analysis
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Cluster Analysis – Statistical data evaluation
Cluster around the most representative
Clu
ster
Cluster Analysis – Statistical data evaluation
� Full pattern cluster analysis is a new feature added to our X-ray powder diffraction analysis software packages X’Pert HighScore and X’Pert HighScore Plus
� Cluster analysis is a method that greatly simplifies the analysis of large amounts of data by:1) Automatically sorting all scans of one or more experiments
into closely related classes. 2) Identifying the most representative scan of each class.3) Identifying the two most different scans of each class.4) Identifying outliers not fitting into any class.
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Cluster Analysis – PCA plot
• 3D graphical view gives confirmation about clusters and outlier (100 samples)
High grade Low grade
Medium grade
Example: Ilmenite Purification
� Ilmenite is used as a feedstock for rutile pigment production
� Impurities such as Cr and V are undesirable as they colour the white pigment
� Other impurities such as Ca and Mg cause problems in the fluid bed chlorination of ilmenite or titania slag, produced from ilmenite
� Most plants use oxidative roasting to modify the magnetic properties of ilmenite, so that it can easily be purified
� The Fe2+ is oxidised to Fe3+ with the formation of anatase or rutile:
FeTiO3
+ O2⇒ TiO
2+ (Fe
2O3-FeTiO
3)ss
� The longer the oxidation – the more Fe-rich the solid solution
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Ilmenite Roasting – Cell constants
9085807570656055504540353025201510
I / c
ps
400
350
300
250
200
150
100
50
0
D i f f e r e n c e s
2 T h e t a / °9 08 58 07 57 06 56 05 55 04 54 03 53 02 52 01 51 0
I / c
ps
2 0 0
1 5 0
1 0 0
5 0
0
- 5 0
- 1 0 0
- 1 5 0
- 2 0 0
CoKααααa = 5.0843(2)Å
c = 13.9955(6)Å
V = 313.3 Å3
� Ilmenite (FeTiO3) → roasting → Fe-rich ilmenite + rutile (TiO2)
Tracking Ilmenite Magnetization – Unit Cell Volume
This is the most reliable way to track the extent of oxidation
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Differences in Ilmenite magnetic susceptibilty
Before roasting:
Ilmenite and chromite
cannot be separated using
magnetic separation
After Roasting:
Ilmenite and chromite
can be easily separated
Example - Oxidation of Titania Slags
400°C
Non-ambient temperature XRDOxidation behaviour!
22
Dimensional Changes in M3O
5
(Pseudobrookite) Lattice Constants
3.72
3.74
3.76
3.78
3.80
50 100 150 200 250 300 350
Temperature (°C)a-
axis
(Å)
9.4
9.6
9.8
10.0
10.2
b,c-
axis
(Å)
a axis
b axis
c axis
M = Fe, Al, Ti3+, Ti4+
� A good example of
the power of Rietveld
refinement!
� Rietveld refinements
were done every 10
degrees.
� One cell dimension
expands, one
contracts and one
expands very slightly.
� This causes strain in
the material, causing
it to crack
Titania slag disintegration problem
Reflection micrograph perpendicular to the [010] direction showing transformation domains along major cracks in a single crystal of M3O5. Secondary cracks form perpendicular to the triangular domains. The secondary cracks are parallel to the c-crystallographic axis.
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Example - Heavy Mineral Sands
� Ilmenite, rutile and zircon are common minerals found all over the world, but not always in economic concentrations. � In heavy mineral sands such as in parts along the South African
coast these minerals are concentrated.
� The heavy minerals ilmenite, rutile and zircon which are separated from the free-flowing sand dunes go into the manufacture of a wide array of products which are essential to our modern lifestyle.
Current Analytical Methods
� The plant is controlled/informed of the proportions of minerals in the Heavy Mineral Concentrate (HMC according to their magnetic susceptibility –
� divided into fractions, i.e.� Mags (0.05 to 0.8A fraction)
� Mag-Others (> 2.4A)
� Non-Mags
� weights are measured in the Physical Laboratory
� Very time consuming and labor intensive
� therefore we aim to show that, using quantitative XRD we can group the minerals found into the traditionally accepted magnetic fractions.
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Heavy Mineral Sands: Basic Classifications
Mag- othersEpidote, Pyroxene, Amphibole, Leucoxene, Monazite,
Apatite,
MagsIlmenite, Magnetite, Chromite, Altered ilmenite,
Hematite, Garnet+Spinel+Clays
Non-MagsZircon+ Rutile+Quartz+Feldspars+Titanite Anatase
Mineral GroupingsTraditional Descriptions
Heavy Mineral Sands: XRD – Major Phases
Position [°2The ta]
10 20 30 40 50 60 70
C ounts
0
1000
2000
3000
RBM _Total_HMC
Peak List 01-089-2811; Fe Ti O3; Ilmenite 01-081-0588; Zr ( S i O4 ); Zircon 01-071-0650; Ti O2 ; Rutile, syn 01-089-0596; Fe2 O3; Hematite, syn 00-009-0436; Na2 F e3 Fe2 S i8 O22 ( O H )2; Riebeckite 01-083-2465; S i O2 ; Quartz low, syn 01-082-0599; C a M g ( S i2 O6 ); D iopside
25
Heavy Mineral Sands: XRD - Minor Phases
Position [°2Theta]
10 20 30 40 50
Counts
0
500
1000
RBM_Total_HMC
Peak List 00-017-0514; Ca2 Al2 Fe ( S i O4 ) ( Si2 O7 ) ( O , O H )2; Epidote 00-004-0612; ( Ce , La , Y , Th ) P O4; Monazite 00-025-0177; Ca Ti O ( Si O4 ); Titanite, syn 00-041-1423; Fe3 +2 A l2 ( Si O4 )3; Almandine, syn 00-041-1486; Ca Al2 S i2 O8; Anorthite, ordered 01-071-1167; Ti O2; Anatase 01-086-1351; Fe2.936 O4; Magnetite
Heavy Mineral Sands: Magnetic Fractions
0
10
20
30
40
50
60
70
80
90
Actin
olite
Alm
an
din
e
An
ata
se
Dio
psid
e
Ep
ido
te
He
ma
tite
Ilme
nite
Ma
gn
etite
Mo
na
zite
Pla
gio
clase
Qu
artz
Ru
tile
Tita
nite
Zirco
n
HMC3_0.05Magn HMC4_0.05Magn HMC3_0.6ILM HMC4_06ILM HMC3_0.8ILM HMC4_0.8ILM
Ilmenite, Magnetite, Chromite,
altered Ilmenite, Hematite, Garnet, Spinel, Clays
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Heavy Mineral Sands: Mag-other Fraction
0
5
10
15
20
25
30
35
40
45
Actinolite
Alm
andine
Anatase
Diopside
Epidote
Hem
atite
Ilmenite
Magnetite
Monazite
Plagioclase
Quartz
Rutile
Titanite
Zircon
HMC3_MO
Epidote, Pyroxene, Amphibole, Leucoxene,
Monazite, Apatite,
Heavy Mineral Sands: Non-Mag Fraction
0
10
20
30
40
50
60
Actin
olite
Alm
an
din
e
An
ata
se
Dio
psid
e
Ep
ido
te
He
ma
tite
Ilme
nite
Ma
gn
etite
Mo
na
zite
Pla
gio
clase
Qu
artz
Ru
tile
Tita
nite
Zirco
n
HMC3_NM HMC4_NM
Zircon, Rutile, Quartz, Feldspars, Titanite, Anatase
27
Conclusion – Heavy mineral sands
� Results indicate that X-ray diffraction, combined with Rietveld
quantification, can provide fast, valuable information for mining and
process control in the heavy minerals industry through standardless
quantification.
� Today’s optics, detectors, and software can provide rapid and accurate
analyses, suitable for process control environments as well as research.
� The data obtained from XRD-Rietveld analysis compare well with the
MLA method for the main economic minerals rutile, zircon and ilmenite.
Minor differences, especially between hematite and magnetite, have
been observed and need further investigation.
� The detection limits on XRD Rietveld analysis is about 0.5 wt%. To
overcome these high detection limits, XRD can be combined with XRF
analysis, using the two techniques in tandem to provide mineral
information as well as trace element or contaminant information in
routine operations.
� But – the quantification of alteration minerals like leucoxene has to be
addressed
Coal and Coal – related materials
� XRD methods and interpretations which I have
applied
� Work still in progress and will be refined as
going along and gaining experience
� Strong and weak points
� not about coal, coke .. graphite – only XRD
applied to those materials
28
Raw Coal
Position [°2Theta] (Cobalt (Co))10 20 30 40 50 60 70 80
Counts
5000
10000
Rawcoal_1
Peak List
Quartz low, syn; Si O2
Kaolinite 1\ITA\RG; Al2 ( Si2 O5 ) ( O H )4
Anatase, syn; Ti O2
Siderite; Fe ( C O3 )
Muscovite-3\ITT\RG; ( K , Na ) ( Al , Mg , Fe )2 ( Si3.1 Al0.9 ) O10 ( O H )2
Raw Coal
Dry Ash Content: 73 %
3 σ error
Anatase 1.79 0.3
Calcite 0.67 0.25
Dolomite 0.13 0.19
Graphite 28.27 2.97
Kaolinite 48.11 2.01
Muscovite 3.32 0.26
Pyrite 0 0
Quartz 15.59 0.72
Rutile 0.5 0.17
Siderite 1.62 0.19
AnataseCalciteDolomite_FeGraphite 2H_Kaolinite C1, ideal, BISHMuscovite_2M1PyriteQuartzRutileSiderite
Rawcoal_1
2 Theta / °908886848280787674727068666462605856545250484644424038363432302826242220181614121086
I / c
ps
2,000
1,800
1,600
1,400
1,200
1,000
800
600
400
200
0
Differences
2 Theta / °908886848280787674727068666462605856545250484644424038363432302826242220181614121086
I / c
ps
600
400
200
0
-200
-400
-600
29
Raw Coal
Differences
2 Theta / °9590858075706560555045403530252015105
I / c
ps
200
150
100
50
0
-50
-100
-150
-200
AnataseAnkerite Fe0.2CalciteDolomiteGraphite 2H_Gypsum_Kaolinite C1, ideal, BISHMagnetitePyriteQuartzRutileSiderite
Wits_Monnamme_Coal_E.raw - Coal_E
2 Theta / °9590858075706560555045403530252015105
I / c
ps
500
450
400
350
300
250
200
150
100
50
0
Anatase 0.583 %
Ankerite Fe0.2 4.23 %
Calcite 2.68 %
Dolomite 0.183 %
Graphite 2H_ 53.5 %
Gypsum_ 0.692 %
Kaolinite C1, ideal, BISH 26.6 %
Magnetite 0.873 %
Pyrite 1.57 %Quartz 7.23 %Rutile 0.233 %
Siderite 1.582 %
Char, Coke, Anthracite etc, LTA
2000
4000
Counts
Position [°2Theta] (Cobalt (Co))
10 20 30 40 50 60 70
Rachel_LTA_Exxaro_Char Rachel_Tihole_EXXARO_CHAR
Peak List 01-078-1252; Si O2; Quartz low, syn 01-080-0885; Al2 ( Si2 O5 ) ( O H )4; Kaolinite 1\ITA\RG 01-089-7194; Fe; Iron 01-081-2027; Ca ( C O3 ); Calcite, syn 00-025-1376; ( Fe , Mg ) ( Al , Cr , Fe , Ti )2 O4; Magnetite 01-071-1167; Ti O2; Anatase 01-073-2409; Ca Mg ( C O3 )2; Dolomite
30
Graphite
� XRD can be used to characterize the crystal structure of graphitic carbons� Structure governed by microstructure and this influences the
performance characteristics i.e electrical resistivity and conduction, coeff. of thermal expansion
� Graphitic carbons can be characterized in 3 dimensions (hkl indices) (002), (100), (101), (004), (110), (006)
� Intensity and sharpness of the peak give an indication of the degree of order compared to a pure graphite crystal
� d002
= measure of interlayer spacing between individual graphene layers (3.345Ǻ for pure graphite)� Can trace the degree of graphitization as a function of heat treatment
temperature
� Using the equation according to Maire & Mehring
the degree of graphitization (g) can be calculated
� g = (3.44-d002)/(3.44-3.354)
Diagram from: Introduction to Carbon Science, H Marsh, 1997
Crystallite development
Diagram from: Introduction to Carbon Science, H Marsh, 1997
2 theta / deg
I/ rel.
20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
31
16
0
C2H
100
102
004
103
104
2 theta / deg
I/rel.
20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
308
154
0
C2H
100
101
102
004
103
104
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Graphite – indices of interest
� Lc
value – graphene layer stacking
height
� Determined from the FWHM of the
00l diffraction lines
� La
value – lateral diameter
(crystallite width)
� Determined by hk0 diffraction lines
� d002
interlayer spacing (002)
Lc
La
d002
Scherrer Equation
k = constant dependent on crystallite shape (0.89)λ = x-ray wavelengthβ = FWHM (full width at half max) or integral breadth (in
radians)θ = Bragg Angle
L = kλ/β cosθ
32
Scherrer Equation
� d002
= 3.460
Position [°2Theta] (Cobalt (Co))
10 20 30 40 50 60 70 80
Counts
0
5000
10000
15000
Graphite A
d = 3.460Ǻ, 29.98 º2θ
FWHM = 5.89 º2θ
d110 ~ 93º2θ
Lc = 0.89 * 1.798/ 0.1028 cos 0.099= 16 Ǻ
Crystallite Size
Raw Pitch
Graphite Natural Graphite
Scherrer 1.6 11.2 50.4
Autoquan 1.29 13.86 60.2
Highscore+ 1.9 14.0 55.5
d0023.49 3.42 3.36
10 20 30 40 50 60 70 80
Counts
0100020003000
0100002000030000
0
200000
400000
Raw Pitch
Graphite
Natural Graphite
� no size-strain
standard
� relative results
33
Flyash1 2 3 4
XRD
Amorphous
67.84 63.64 68.41 63.81
Calcite 0.26 0.34 0.3 0.26
Hematite 0.46 0.77 0.73 0.72
Mullite 23.91 21.46 20.52 21.88
Quartz 7.54 13.79 10.04 13.32
XRF
CaO 1.47 0.83 0.89 1.19
SiO2 60.9 62.3 62.3 56.8
Fe2O3 4.23 4.24 4.25 4.65
Al2O3 29.8 28.9 28.9 33.9
MgO 0.47 0.56 0.64 0.57
TiO2 0.29 0.29 0.3 0.31
Mn2O3 0.22 0.22 0.22 0.24
K2O 0.93 1.13 1.17 0.9
Amorphous Component Composition
CaO 1.21 0.49 0.59 0.93
SiO2 43.796 39.926 44.052 34.728
Fe2O3 4.046 3.932 3.958 4.362
Al2O3 15.454 16.024 16.588 20.772
MgO 0.47 0.56 0.64 0.57
TiO2 0.29 0.29 0.3 0.31
Mn2O3 0.22 0.22 0.22 0.24
K2O 0.93 1.13 1.17 0.9
Position [°2Theta]
10 20 30 40 50 60 70 80
Counts
0
2000
4000
6000
8000
0
5000
10000
0
5000
10000
0
5000
10000
1
4
3
2
Phase quantification does not
supply the entire picture!
XRD in the Cement Industry
34
35
Acknowledgements
� Prof Johan de Villiers
� University of Pretoria
� Theresa van den Berg
� Exxaro
� CSIR
� Prof Richard Kruger
� PANalytical
� …..