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Integrated computational study of material lifetime
in a fusion reactor environment
M. R. Gilbert, S. L. Dudarev, S. Zheng,L. W. Packer, and J.-Ch. Sublet
EURATOM/CCFE Fusion Association, UK
October 12, 2012
24th IAEA Fusion Energy Conference, San Diego
CCFE is the fusion research arm of the United Kingdom Atomic Energy Authority
Introduction
• The neutrons generated in fusion plasmas bombard thesurrounding materials. . .
◮ ∼ 1015 neutrons cm−2 s−1 expected on plasma-facing first wall(FW) in DEMO
• . . . and induce nuclear reactions◮ e.g. 56Fe(n, γ)57Fe, 12C(n, α)9Be, 64Cu(n, p)63Ni
• During reactor operation these transmutations will producenew elements, including gases (helium and hydrogen)
• Accumulation of these impurities could significantly alter thestructural and mechanical properties of materials
◮ Hardening, swelling, gas-induced embrittlement,etc.
• A full picture of the transmutation response and consequencesrequires:
◮ knowledge of the irradiation conditions◮ calculation of the burn-up of materials◮ modelling the effect of impurities
2/20
Integrated studies (talk outline)
• 1. Neutron transport calculations (neutronics) with MCNP◮ predicts the irradiation environment for components within a
given reactor design◮ delivers neutron fluxes and energy spectra
• 2. Inventory calculations with FISPACT◮ neutron spectrum and flux as input◮ calculates the activation and burn-up (transmutation) of
materials◮ quantifies the changes to material composition in time
• But the absolute transmutation numbers do not informwithout models to predict consequences
• 3. Modelling of material properties (atomistic or otherwise)◮ First attempt:
Helium embrittlement of grain boundaries in differentmaterials using production rates from FISPACT
3/20
Integrated studies (talk outline)
• 1. Neutron transport calculations (neutronics) with MCNP◮ predicts the irradiation environment for components within a
given reactor design◮ delivers neutron fluxes and energy spectra
• 2. Inventory calculations with FISPACT◮ neutron spectrum and flux as input◮ calculates the activation and burn-up (transmutation) of
materials◮ quantifies the changes to material composition in time
• But the absolute transmutation numbers do not informwithout models to predict consequences
• 3. Modelling of material properties (atomistic or otherwise)◮ First attempt:
Helium embrittlement of grain boundaries in differentmaterials using production rates from FISPACT
3/20
1. Neutronics: DEMO model for MCNP
• 2009 model designed usingHERCULES1
• 2.7 GW fusion power output
• Cell-based geometry
• Solid Be+Li tritium breedingblanket + W divertor + Hecooling
• Neutrons transportedthrough model from acorrectly definedfusion-plasma source
• Simulation of sufficientneutrons to provide goodstatistics
First wall & blanketShielding & backplatesVessel WallsCoilsDivertor armourDivertor structure
Plasma
(cm)-1000
-750
-500
-250
0
250
500
750
1000
0 300 600 900 1200 1500-1000
-750
-500
-250
0
250
500
750
1000
0 300 600 900 1200 1500
4/20
0
0.01
0.02
0.03
0.04
0.05
Prob
abili
ty o
f so
urce
neu
tron
1Pampin and Karditsas, 2006 Fusion Eng. Des., 81 1231-7
1. Neutronics: example spectra
• Neutron spectra as a function of depth into outboardequatorial First Wall (FW):
1e+06
1e+07
1e+08
1e+09
1e+10
1e+11
1e+12
1e+13
1e+14
1e+15
1e-01 1e+01 1e+03 1e+05 1e+07
Neu
tron
Flu
x (n
cm
-2s-1
)pe
r le
thar
gy in
terv
al
Energy (eV)
0-0.5 cm (FW)1.5-2 cm (FW)
2-3 cm (Blanket)27-32 cm (Blanket)57-62 cm (Blanket)
62-82 cm (Backplate)92-122 cm (Shield)
152-122 cm(Vacuum Vessel)
(a)
Plasma
(cm)-1000
-750
-500
-250
0
250
500
750
1000
0 300 600 900 1200 1500
• Energy spectrum softens with depth• Total flux also falls:
◮ Total in 2 cm FW is 8.25× 1014 n cm−2 s−1
◮ In final 5 cm of blanket drops to 3.90× 1013 n cm−2 s−1
◮ In vessel walls it is only 1.38× 1012 n cm−2 s−1
• Variation is complex, so standard practice is to calculateintegrated quantity −→ e.g. dpa
5/20
1. Integrated results: dpa
-600
-400
-200
0
200
400
600
500 700 900 1100 1300(cm) 0
2
4
6
8
10
12
14
dpa/
fpy
in F
e
• Displacements per atom(dpa): Integrated measureof total exposure
◮ Spectra and fluxes mergedwith Material dependentnuclear data (EFF 1.1)
dpa per second =
Ng∑
i
φiσdpai
• shows the variation in“exposure” with position
• dpa/fpy in Fe in FW armouris ∼ 3 times higher than inblanket
• Note: dpa estimates do not take into account the time evolution of
radiation damage and give no direct information about changes to
microstructure or properties
6/20 fpy=full power year
Globalvariation indpa/fpy inFe
Caution with dpa interpretation
7/20
X. Yi1, M.L. Jenkins1, M.A. Kirk2, S.G. Roberts1 – 20121Department of Materials, University of Oxford; 2Argonne National Laboratory
• self-ion irradiation of pure W to 0.01 dpa at a range of temperatures
Damage varieswith temperature
for same dpa
• However, dpa is a convenient atom-based measure of irradiation exposure
1. dpa: variation with poloidal angle in FW armour
• Exposure measured as dpa/fpy in Fe for the 2 cm FW armour
• poloidal variation in dpa/fpy follows variation in total flux. . .
8/20 fpy=full power year
0
2
4
6
8
10
12
14
16
A B C D E F G H I J K L M 0
1.2
2.4
3.6
4.8
6
7.2
8.4
9.6dp
a/fp
y in
Fe
x 10
14 e
quiv
alen
t flu
x (n
cm
-2 s
-1)
Position
dpa/fpyflux
-600
-400
-200
0
200
400
600
500 700 900 1100 1300
A
B
CDE
FG
H
I
J
K L
M
(cm)
Plasma
1. dpa: variation with depth
9/20 fpy=full power year
• . . . but dpa variation does not always follow change intotal flux
• dpa/fpy in Fe and totalflux as a function ofdepth into outboardequatorial FW
• total flux initiallyincreases due to neutronmultiplication
• but equivalent dpa/fpy isalways decreasing 0
2
4
6
8
10
12
14
16
18
0 5 10 15 20 25 30 35 40 0
1e+14
2e+14
3e+14
4e+14
5e+14
6e+14
7e+14
8e+14
9e+14
dpa/
fpy
in p
ure
Fe
Tot
al n
eutr
on f
lux
(n c
m-2
s-1)
distance from plasma facing wall (cm)
arm
our
blanketinboard dpa/fpy
outboard dpa/fpyinboard flux
outboard flux
1. dpa: variation with material
10/20 fpy=full power year
• Comparison between W and Fe in FW armour regions
• dpa/fpy in W is ∼1/3 of that in Fe (Nuclear data dependent. . . )
0
2
4
6
8
10
12
14
16
A C G I K L
dpa/
fpy
Position
in Fe
0
2
4
6
8
10
12
14
16
A C G I K LPosition
in W
-600
-400
-200
0
200
400
600
500 700 900 1100 1300
A
CG
I
K L
(cm)
Plasma
Final caution with dpa: Nuclear-data dependence
• . . . results from dpacalculations are verysensitive to inputreaction-cross-section data
• The newly developed inventorycode FISPACT-II can calculatedpa values directly fromneutron spectra
• Calculations using the latestnuclear data libraries(TENDL-2011) revealsignificantly different dpavalues to previous resultsobtained from NJOY using theEFF 1.1 library
• For example, the exposuremeasured as dpa/fpy in pure Whas risen by a factor of 3 in the2 cm FW armour
11/20
0 2 4 6 8
10 12 14 16 18 20
0 10 20 30 40 50 60
dpa/
fpy
Depth from plasma-facing wall (cm)
Fe - EFF 1.1Fe - TENDL 2011
W - EFF 1.1W - TENDL 2011
(dpa/fpy as a function of depthinto outboard equatorial FW)
Integrated studies (talk outline)
• 1. Neutron transport calculations (neutronics) with MCNP◮ predicts the irradiation environment for components within a
given reactor design◮ delivers neutron fluxes and energy spectra
• 2. Inventory calculations with FISPACT◮ neutron spectrum and flux as input◮ calculates the activation and burn-up (transmutation) of
materials◮ quantifies the changes to material composition in time
• But the absolute transmutation numbers do not informwithout models to predict consequences
• 3. Modelling of material properties (atomistic or otherwise)◮ First attempt:
Helium embrittlement of grain boundaries in differentmaterials using production rates from FISPACT
12/20
2. Inventory calculations
FISPACT:
• calculates the time-evolution of composition by solving a setof coupled differential equations ∀ possible nuclides Ni :
The Bateman equations
dNi
dt= −Ni(λi + σiφ)
︸ ︷︷ ︸
loss
+∑
j 6=i
Nj(λji + σjiφ)︸ ︷︷ ︸
creation
• a database of reaction cross sections (‘European Activation File’ –EAF) is collapsed with the neutron energy spectra → σi , σij
• EAF also provides decay constants λi , λij
• fluxes φ from neutronics (MCNP)
13/20
2. Transmutation example
14/20 appm=atomic parts per million
• Pure W and Fe under outboard equatorial FW armour flux for 5 fpy
• Metal impurities build-up over time◮ primarily Re, Os, Ta in W◮ Mn and Cr from Fe
• Helium and hydrogen are also produced◮ gas production is very low in W (∼ ×10 less than in Fe)
10-2
100
102
104
106
0 1 2 3 4 5
Con
cent
ratio
n (a
ppm
)
Irradiation Time (years)
10-2
100
102
104
106
0 1 2 3 4 5
Con
cent
ratio
n (a
ppm
)
Irradiation Time (years)
WReOsTaHfHHeIrPt
0 1 2 3 4 5Irradiation Time (years)
FeMnHCrHeVCoNiTi
0 1 2 3 4 5Irradiation Time (years)
FeMnHCrHeVCoNiTi
M.R. Gilbert and J.-Ch. Sublet, Nuclear Fusion 51 (2011) 043005
from W from Fe
2. W transmutation: 5 fpy FW armour
15/20 appm=atomic parts per million
Time: 0.000 seconds
0.01
0.1
1
10
100
1000
104
105
106
conc
entr
atio
n (a
ppm
)
Pure W irradiated in aDEMO FW armour spectrum
Total flux: 8.25 x 10 14 n cm-2 s-1
ZN
Lu176
Lu177
Lu178
Lu179
Lu180
Lu181
Lu182
Lu183
Lu184
Hf177
Hf178
Hf179
Hf180
Hf181
Hf182
Hf183
Hf184
Hf185
Hf186
Hf187
Ta178
Ta179
Ta180
Ta181
Ta182
Ta183
Ta184
Ta185
Ta186
Ta187
Ta188
Ta189
Ta190
W179
W180
W181
W182
W183
W184
W185
W186
W187
W188
W189
W190
W191
Re180
Re181
Re182
Re183
Re184
Re185
Re186
Re187
Re188
Re189
Re190
Re191
Re192
Os181
Os182
Os183
Os184
Os185
Os186
Os187
Os188
Os189
Os190
Os191
Os192
Os193
Ir182
Ir183
Ir184
Ir185
Ir186
Ir187
Ir188
Ir189
Ir190
Ir191
Ir192
Ir193
Ir194
Pt183
Pt184
Pt185
Pt186
Pt187
Pt188
Pt189
Pt190
Pt191
Pt192
Pt193
Pt194
Pt195
Au185
Au186
Au187
Au188
Au189
Au190
Au191
Au192
Au193
Au194
Au195
Au196
71
72
73
74
75
76
77
78
79
105 106 107 108 109 110 111 112 113
114 115
116 117
H1
H2
H3
He3
He4
He6
Li5
Li6
Li7
1
2
3
0 1 2
3
4
2. W transmutation: 5 fpy FW armour
15/20 appm=atomic parts per million
Time: 1.000 day
0.01
0.1
1
10
100
1000
104
105
106
conc
entr
atio
n (a
ppm
)
Pure W irradiated in aDEMO FW armour spectrum
Total flux: 8.25 x 10 14 n cm-2 s-1
ZN
Lu176
Lu177
Lu178
Lu179
Lu180
Lu181
Lu182
Lu183
Lu184
Hf177
Hf178
Hf179
Hf180
Hf181
Hf182
Hf183
Hf184
Hf185
Hf186
Hf187
Ta178
Ta179
Ta180
Ta181
Ta182
Ta183
Ta184
Ta185
Ta186
Ta187
Ta188
Ta189
Ta190
W179
W180
W181
W182
W183
W184
W185
W186
W187
W188
W189
W190
W191
Re180
Re181
Re182
Re183
Re184
Re185
Re186
Re187
Re188
Re189
Re190
Re191
Re192
Os181
Os182
Os183
Os184
Os185
Os186
Os187
Os188
Os189
Os190
Os191
Os192
Os193
Ir182
Ir183
Ir184
Ir185
Ir186
Ir187
Ir188
Ir189
Ir190
Ir191
Ir192
Ir193
Ir194
Pt183
Pt184
Pt185
Pt186
Pt187
Pt188
Pt189
Pt190
Pt191
Pt192
Pt193
Pt194
Pt195
Au185
Au186
Au187
Au188
Au189
Au190
Au191
Au192
Au193
Au194
Au195
Au196
71
72
73
74
75
76
77
78
79
105 106 107 108 109 110 111 112 113
114 115
116 117
H1
H2
H3
He3
He4
He6
Li5
Li6
Li7
1
2
3
0 1 2
3
4
2. W transmutation: 5 fpy FW armour
15/20 appm=atomic parts per million
Time: 1.016 years
m
0.01
0.1
1
10
100
1000
104
105
106
conc
entr
atio
n (a
ppm
)
Pure W irradiated in aDEMO FW armour spectrum
Total flux: 8.25 x 10 14 n cm-2 s-1
ZN
Lu176
Lu177
Lu178
Lu179
Lu180
Lu181
Lu182
Lu183
Lu184
Hf177
Hf178
Hf179
Hf180
Hf181
Hf182
Hf183
Hf184
Hf185
Hf186
Hf187
Ta178
Ta179
Ta180
Ta181
Ta182
Ta183
Ta184
Ta185
Ta186
Ta187
Ta188
Ta189
Ta190
W179
W180
W181
W182
W183
W184
W185
W186
W187
W188
W189
W190
W191
Re180
Re181
Re182
Re183
Re184
Re185
Re186
Re187
Re188
Re189
Re190
Re191
Re192
Os181
Os182
Os183
Os184
Os185
Os186
Os187
Os188
Os189
Os190
Os191
Os192
Os193
Ir182
Ir183
Ir184
Ir185
Ir186
Ir187
Ir188
Ir189
Ir190
Ir191
Ir192
Ir193
Ir194
Pt183
Pt184
Pt185
Pt186
Pt187
Pt188
Pt189
Pt190
Pt191
Pt192
Pt193
Pt194
Pt195
Au185
Au186
Au187
Au188
Au189
Au190
Au191
Au192
Au193
Au194
Au195
Au196
71
72
73
74
75
76
77
78
79
105 106 107 108 109 110 111 112 113
114 115
116 117
H1
H2
H3
He3
He4
He6
Li5
Li6
Li7
1
2
3
0 1 2
3
4
2. W transmutation: 5 fpy FW armour
15/20 appm=atomic parts per million
Time: 5.000 years
m
m
0.01
0.1
1
10
100
1000
104
105
106
conc
entr
atio
n (a
ppm
)
Pure W irradiated in aDEMO FW armour spectrum
Total flux: 8.25 x 10 14 n cm-2 s-1
ZN
Lu176
Lu177
Lu178
Lu179
Lu180
Lu181
Lu182
Lu183
Lu184
Hf177
Hf178
Hf179
Hf180
Hf181
Hf182
Hf183
Hf184
Hf185
Hf186
Hf187
Ta178
Ta179
Ta180
Ta181
Ta182
Ta183
Ta184
Ta185
Ta186
Ta187
Ta188
Ta189
Ta190
W179
W180
W181
W182
W183
W184
W185
W186
W187
W188
W189
W190
W191
Re180
Re181
Re182
Re183
Re184
Re185
Re186
Re187
Re188
Re189
Re190
Re191
Re192
Os181
Os182
Os183
Os184
Os185
Os186
Os187
Os188
Os189
Os190
Os191
Os192
Os193
Ir182
Ir183
Ir184
Ir185
Ir186
Ir187
Ir188
Ir189
Ir190
Ir191
Ir192
Ir193
Ir194
Pt183
Pt184
Pt185
Pt186
Pt187
Pt188
Pt189
Pt190
Pt191
Pt192
Pt193
Pt194
Pt195
Au185
Au186
Au187
Au188
Au189
Au190
Au191
Au192
Au193
Au194
Au195
Au196
71
72
73
74
75
76
77
78
79
105 106 107 108 109 110 111 112 113
114 115
116 117
H1
H2
H3
He3
He4
He6
Li5
Li6
Li7
1
2
3
0 1 2
3
4
Aside: Motivation for quantifying He production
• Transmutant helium can accumulate in pre-existing cracksand voids – swelling
• Helium can also migrate to grain boundaries (GBs) leading toembrittlement
• Particular problem for fusion because of the generally higherneutron energies – many of the helium-producing reactionshave thresholds
16/20
Aside: Motivation for quantifying He production
V.P. Chakin, Z. Ye OstrovskyJ. Nucl. Mater. 307-311
(2002) 657
• Transmutant helium can accumulate in pre-existing cracksand voids – swelling
• Helium can also migrate to grain boundaries (GBs) leading toembrittlement
• Particular problem for fusion because of the generally higherneutron energies – many of the helium-producing reactionshave thresholds
16/20
Aside: Motivation for quantifying He production
• Transmutant helium can accumulate in pre-existing cracksand voids – swelling
• Helium can also migrate to grain boundaries (GBs) leading toembrittlement
• Particular problem for fusion because of the generally higherneutron energies – many of the helium-producing reactionshave thresholds
16/20
5 10 15 20Incident Neutron energy (MeV)
0
0.1
0.2
0.3
0.4
0.5
Cro
ss s
ectio
n (b
arns
)
12C(n,n′2α)
4He
12C(n,α)
9Be
0 5 10 15 20Incident Neutron energy (MeV)
0.00
0.01
0.02
0.03
0.04
0.05
Cro
ss s
ectio
n (b
arns
)
56Fe(n,α)
53Cr
0 5 10 15 20Incident Neutron energy (MeV)
0
0.05
0.1
0.15
0.2
0.25
Cro
ss s
ectio
n (b
arns
)
28Si(n,α)
25Mg
28Si(n,nα)
24Mg
1barn = 10−24 cm2
2. He production
• Material comparison under identical conditions
• 3 fpy under outboard equatorial FW armour irradiation:
• He production highest inBe (∼ 4300 appm/fpy)
• More than an order ofmagnitude lower in Fe(∼ 140 appm/fpy)
• Only ∼ 4 appm/fpy in W
17/20 appm=atomic parts per million
1
10
100
1000
10000
Fe W Ta Zr Be Mo Nb Cu Cr V SiC C
He
conc
entr
atio
n (a
ppm
)
Material
DEMO - 3 fpy
2. He production
• Material comparison under identical conditions
• 3 fpy under outboard equatorial FW armour irradiation:
• He production highest inBe (∼ 4300 appm/fpy)
• More than an order ofmagnitude lower in Fe(∼ 140 appm/fpy)
• Only ∼ 4 appm/fpy in W
• concentrationssignificantly higher thanpredicted for full-lifetimeof ITER FW (withapproximate campaigntiming)
17/20 appm=atomic parts per million
1
10
100
1000
10000
Fe W Ta Zr Be Mo Nb Cu Cr V SiC C
He
conc
entr
atio
n (a
ppm
)
Material
DEMO - 3 fpy
ITER - 14 years
Integrated studies (talk outline)
• 1. Neutron transport calculations (neutronics) with MCNP◮ predicts the irradiation environment for components within a
given reactor design◮ delivers neutron fluxes and energy spectra
• 2. Inventory calculations with FISPACT◮ neutron spectrum and flux as input◮ calculates the activation and burn-up (transmutation) of
materials◮ quantifies the changes to material composition in time
• But the absolute transmutation numbers do not informwithout models to predict consequences
• 3. Modelling of material properties (atomistic or otherwise)◮ First attempt:
Helium embrittlement of grain boundaries in differentmaterials using production rates from FISPACT
18/20 appm=atomic parts per million
3. Modelling: He embrittlement of GBs
Simple modelling of grain boundary (GB) failure
1. Number of He atoms in spherical grain:✞
✝
☎
✆NHe ≈
43πR
3nGHe
R
Assumptions:
• All helium atomsproduced migrate tograin boundary
◮ traps and obstaclesneglected
◮ most valid for smallgrains
GHe = bulk concentration(from inventory calcs.)n = atom density
19/20
3. Modelling: He embrittlement of GBs
Simple modelling of grain boundary (GB) failure
2. All He atoms move to GB: – ∴ surface total ≡ bulk total✞
✝
☎
✆4πR2νHe =
43πR
3nGHe ⇒
✞
✝
☎
✆νHe =
R3 nGHe
R
Assumptions:
• All helium atomsproduced migrate tograin boundary
◮ traps and obstaclesneglected
◮ most valid for smallgrains
GHe = bulk concentration(from inventory calcs.)νHe = surface density
19/20
3. Modelling: He embrittlement of GBs
Simple modelling of grain boundary (GB) failure
3. Assume GBs destabilized when E of solute He equals E of surface:✞
✝
☎
✆E solHe ν
cHe ≈ 2εsurf
Material He solution energy Surface energy Critical He conc. at(eV)∗ – E sol
He (Jm−2)∗ – εsurf GBs (cm−2) – νcHe
Fe 4.34 2.4 6.90× 1014
Mo 4.65 3.0 8.05× 1014
Ta 4.82 3.0 7.77× 1014
W 4.77 3.5 9.16× 1014
Be 3.46 2.2 7.94× 1014
SiC 1.50† 2.5 2.08× 1015
∗Estimates taken from: F. Willaime and C. C. Fu, 2006, Mater. Res. Soc. Symp., 981 0981–JJ05–04, M. G.Ganchenkova et al., 2009, J. Nucl. Mater., 386–388 79–81, L. Vitos et al., 1998, Surf. Sci., 411 186–202, Yu M.Koroteev et al., 2009, Phys. Solid State, 51 1600–1607, and S. C. Middleburgh and R. W. Grimes, 2011, ActaMater., 59 7095–7103
†Energy for He interstitial surrounded by Si atoms – R. M. Van Ginhoven et al., 2006, J. Nucl. Mater., 51 348
19/20
3. Modelling: He embrittlement of GBs
Simple modelling of grain boundary (GB) failure
3. Assume GBs destabilized when E of solute He equals E of surface:✞
✝
☎
✆E solHe ν
cHe ≈ 2εsurf
• Experimental confirmation:◮ Helium irradiated W
bicrystals◮ Expansion of grain
boundaries at He fluenceof 1014–1015 ions cm−2
◮ our νcHe value: 7.51× 1014
19/20
Gerasimenko, Mikhaılovskiı,Neklyudov, Parkhomenko, andVelikodnayaTech. Phys. 43 (1998) 803
3. Modelling: He embrittlement of GBs
Simple modelling of grain boundary (GB) failure
4. Critical bulk He concentration:✞
✝
☎
✆G cHe =
3Rn
νcHe
Material νcHe n G cHe
(cm−2) (cm−3) (appm)
Fe 6.90× 1014 8.5× 1022 488.0Mo 8.05× 1014 6.4× 1022 753.2Ta 7.77× 1014 5.5× 1022 841.3W 9.16× 1014 6.3× 1022 871.5Be 7.94× 1014 1.2× 1023 385.2SiC 2.08× 1015 4.7× 1022 2645.6
• Assumed Grain size of R = 0.5µm
• G cHe varies linearly with 1/R
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3. Critical lifetimes for GB embrittlement by He
• Critical embrittlement lifetimes estimated using FISPACT
Material G cHe Critical GB embrittlement lifetimes tcHe for DEMO
(appm) Outboard Polar Equatorial Shielded
Equatorial FW blanket divertor
FW 17-19 cm armourFe 488.0 4 years 7 years 18 years 78 yearsMo 753.2 18 years 36 years 114 years 420 yearsTa 841.3 216 years 300+ years 300+ years 300+ yearsW 871.5 300+ years 300+ years 300+ years 300+ yearsBe 385.2 1 month 2 months 4 months 1.5 yearsSiC∗ 2645.6 1.8 years 3.5 years 9.5 years 41 years
• Wide variation in lifetimes between different materials and for thesame material as a function of position
• Be has very short expected lifetimes• This type of failure probably won’t occur in W (or Ta)
20/20 ∗modelling less valid for non-metallic SiC because of structure and He migration E
Summary
• An integrated model of neutron-irradiation-induced changes inmaterial properties for DEMO:
• 1. Neutron-transport simulations of a fusionreactor model:
◮ wide variation in exposure with depth and position - evenwithin the same components
• 2. Inventory calculations:◮ the variation in irradiation environment creates large
differences in the transmutation or burn-up rates of materials◮ He production rates are strongly dependent on material
• 3. Simple modelling of He-induced grain-boundaryembrittlement suggests that some materials could fail onrelatively short timescales (Be in particular)
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Gilbert M R et al., 2012, Nucl. Fus., 52 083019
Summary
Future
• Fully heterogenous reactor models could predict very differentirradiation conditions
• The GB failure model needs to fully account for the traps andmigration barriers for He
◮ lifetimes could be increased in a more complete model
• Integration of other predictive techniques:◮ e.g. swelling-induced stresses leading to fracture, changes in
strength due to transmutation impurities,etc.
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