the composition and crystal structures of pyrrhotite: … · the composition and crystal structures...
TRANSCRIPT
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The Composition and Crystal Structures of Pyrrhotite: A Common but Poorly Understood
Mineral
Johan de VilliersDepartment of Materials Science and Metallurgical
EngineeringUniversity of Pretoria
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Pyrrhotite Characterization
• Pyrrhotite (Fe1-xS) is a common sulfide mineral in nickel and platinum group metal (PGM) deposits
• It is an unwanted phase in nickel processing because it dilutes the nickel concentrate and is expensive to remove
• It is recovered in PGM processing because many platinum group minerals are associated with it. It also contributes to matte-fall in UG-2 matte smelting
• Pyrrhotite occurs in several forms with different symmetry and usually slightly different compositions
• In Nature two major forms exist:– Magnetic Fe7S8 and can in principle be separated from…..– Non-magnetic Fe9S10 and Fe11S12
• We are investigating the flotation behaviour of the two pyrrhotite tipes – hence the need to characterise and quantify them
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Pyrrhotite Removal - Clarabelle Mill Sudbury
• Magnetic separation can only separate the magnetic pyrrhotite from the pentlandite concentrate
• Flotation is used to remove pyrrhotite from the pentlandite concentrate
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Microflotation Recovery of Pyrrhotite – pH 7
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Microflotation Recovery of Pyrrhotite – pH 10
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Merensky Pyrrhotite
Electron Backscatter Images
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Known Pyrrhotites
• Troilite FeS (Evans, 1970)– Stoichiometric with a 2C superstructure (C is the c-axis of the NiAs
subcell)– Distorted NiAs structure
• Monoclinic Pyrrhotite (Tokonami et al, 1972)– Stoichiometric Fe7S8 with 4C superstructure– The structure does not explain the non-stoichiometry
• Other natural varieties – structures unknown– Fe9S10 - 5C
– Fe10S11 – incommensurate
– Fe11S12 -6C• Synthetic varieties
– Fe7S8 -Hexagonal 3C
• All varieties thought to be derived from the ordering of vacancies
• Natural varieties have not been synthesized
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Pyrrhotite Phase relations
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Compositional Variation – 1106 Analyses
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New Pyrrhotite structures
• 5C Pyrrhotite from Sudbury, Canada– Described as Hexagonal– Hexagonal structure determination not successful– Structure determined with SHELX and refined to R = 0.060– Orthorhombic: Cmce – a = 6.893(3) Å, b = 11.939(3) Å and c = 28.63(1) Å
• 6C Pyrrhotite from Mponeng Mine, South Africa– Structure correctly predicted by Koto et al. (1975)– No atomic coordinates given by them– Structure refined with SHELX and refined to R=0.029– Non-standard Space Group Fd (to preserve orthogonality)– a = 6.897(2) Å, b = 11.954(3) Å, c = 34.521(7), β = 90.003º– Structure can be transformed to Cc space group setting
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New Pyrrhotite structures
• 4C Pyrrhotite from Bushveld Complex– Cell similar to published F-centered cell– Cell is C-centered– Structure determined with SHELX and refined to R = 0.052– Monoclinic: C2– Cell: a = 11.890(4) Å, b = 6.872(2) Å, c = 22.786(8) Å– F2/d: a = 11.902(8) Å, b = 6.859(5) Å, c = 22.787(10) Å
(Tokonami et al.)
• The crystal structures are needed:– to understand the compositional variation– to quantify the different pyrrhotites– to calculate their bonding and oxidation properties– to model the docking of reagents on mineral surfaces
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NiAs Structure
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Troilite – FeS (stoichiometric)
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5C Pyrrhotite - Layer-0
a
bc
U
U
U
L
L
L
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5C Pyrrhotite - Layer-1
a
bc
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Adjacent Fe- octahedra
ab
cS4
S2
S6
S1
Fe6
S7
Fe3
S3
S8
S5
S3
PowderCell 2.0
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New Pyrrhotite Superstructures
4C 5C 6C
“Fe7S8”
“Fe9S10”
“Fe11S12”
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Pyrrhotite - QuantificationPyrrhotite 3T_
2 Theta / °6462605856545250484644424038363432
I / c
ps
2,200
2,000
1,800
1,600
1,400
1,200
1,000
800
600
400
200
Pyrrhotite 4C_
2 Theta / °6462605856545250484644424038363432
I / c
ps
1,600
1,500
1,400
1,300
1,200
1,100
1,000
900
800
700
600500
400
300
200
100
Hexagonal – 5CNon-magnetic
Monoclinic – 4CMagnetic
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Refinement of 5C pyrrhotite - TOPAS
110100908070605040302010
44,00042,00040,00038,00036,00034,00032,00030,00028,00026,00024,00022,00020,00018,00016,00014,00012,00010,0008,0006,0004,0002,000
0-2,000-4,000-6,000
Pyrrhotite-4C 3.07 %Pentlandite 3.29 %Po-5C-Cmca 93.65 %Rwp = 1.76%
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Calculated XRD Powder Patterns – 5C vs 6C
2 theta / deg
I/ rel.
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
1935
967
0
PO_5C_ORTH 50.0%pyrrhotite_6C 50.0%
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Accuracy of quantification - Pyrrhotites
Simultaneous refinement of all samples in a set seems to give the best results
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Non-stoichiometry
• From the compositional data it seems likely that Fe3+ is substituting for Fe2+, i.e Fe2+
5Fe3+2S8
• The presence of ferric iron seems to stabilise non-stoichiometric pyrrhotites
• A neutron diffraction study of Fe7S8 supports a fast charge transfer with iron valency of Fe2.29+
• No evidence for Fe3+ from Mössbauer spectroscopy• There are probably many more pyrrhotite structures• The proportion of ferric iron will influence the tendency of
pyrrhotite to oxidise:– Affecting flotation behaviour– Affecting the production of acid mine drainage– Affecting combustion in flash furnaces– Affecting their magnetic properties
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Unresolved questions:……………..
• The perceived absence of ferric iron in Mössbauer and XMCD studies of pyrrhotites needs to be resolved
• The crystallographic information of the samples needs to be carefully characterised
• Materials modelling on the structural stability of the superstructures is in progress at UP and Curtin University
• Spectroscopic and neutron diffraction work needs to be done on natural pyrrhotites to resolve their magnetic character
• Powder XRD is not sufficient to characterise natural pyrrhotites – neither are SEM based methods
• Perhaps high-resolution synchrotron and neutron powder data can help
• Flotation behaviour is still unexplained !!!!!! • There is still a lot of work to be done!
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Acknowledgments
• Megan Becker for compositional data, for flotation data, and for samples, also for stimulating my interest in pyrrhotites
• Sabine Verryn for precise XRD data
• Peter Gräser for microprobe data of single crystals
• Dave Liles for single crystal data
• Alison Tuling for help with microscopy
• Ian Madsen and Nicola Scarlett of CSIRO Minerals for help with simultaneous refinements using TOPAS