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Acta Materialia 88 (2015) 180–189
www.elsevier.com/locate/actamat
Ab initio description of segregation and cohesion of grain boundaries
in W–25 at.% Re alloys
Daniel Scheiber,a,b Vsevolod I. Razumovskiy,a Peter Puschnig,b Reinhard Pippanc and Lorenz Romanera,
⇑
a
Materials Center Leoben Forschung GmbH, Roseggerstrasse 12, 8700 Leoben, Austria
University of Graz, Institute of Physics, NAWI Graz, Universitätsplatz 5, 8010 Graz, Austria
c
Erich Schmid Institut of Materials Science, Austrian Academy of Sciences, Jahnstrasse 12, 8700 Leoben, Austria
b
Received 22 October 2014; revised 23 December 2014; accepted 29 December 2014
Abstract—We investigate grain boundaries (GBs) in W–25 at.% Re alloys with special focus on the segregation of Re to the GBs and the changes in
their cohesive properties that arise therefrom. Our simulations rely on density functional theory and a mean-field approximation, the virtual crystal
approximation, to model the highly alloyed system. Based on a gamma-surface approach, the geometry of a wide range of GBs, including tilt, twist
and mixed GBs, is obtained. Segregation energies are found to vary strongly between different segregation sites, with the strongest segregation energy
amounting to 0.75 eVs. We show that bond-order parameters are able to identify strong segregation sites based on purely geometric information
only. With a thermodynamic model based on a Bragg–Williams approach, the concentration of Re atoms is calculated as a function of GB character
at 1913 K and compared with atom probe experiments. The segregation levels are similar, with a trend towards higher segregation levels observed in
the calculations for certain misorientation angles. Finally, Re alloying is found to lead to a general increase in the work of separation of the GBs,
suggesting a reduction in the tendency for intergranular fracture.
Ó 2015 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
Keywords: Grain boundary structure; Grain boundary segregation; Ab initio calculations; Rhenium effect; Virtual crystal approximation
1. Introduction
The cohesive properties of grain boundaries (GBs) are of
great relevance for the mechanical properties of materials
[1,2]. Decisive in this connection are effects resulting from
solute segregation towards the GBs, since the associated
local modifications in chemical composition can drastically
alter the strength of the interatomic bonding. In extreme
cases, the fracture behaviour of a material can be completely modified via segregation, and a prominent and
well-investigated example of the radical embrittlement of
an otherwise ductile material is given by bismuth alloyed
into copper [3,4].
A question of great technological importance is whether
the opposite effect, i.e. an increase in cohesion and the
resulting ductilization and toughening, can be achieved
via solute segregation. This is particularly relevant for the
refractory body-centred cubic (bcc) metals W and Mo
and their alloys, for which grain boundaries feature a
prominently low fracture toughness [5]. The origins of the
brittleness have been debated; either it results from lowering of cohesion due to impurity segregation to GBs [6,7]
or it is an intrinsic property [8,9] arising from the high
⇑ Corresponding
romaner@mcl.at
author. Tel.: +43 3842 45922 74; e-mail: lorenz.
degree of covalency in the interatomic bonding. In this
context, the “Re ductilizing effect” [10,11] is a long known
phenomenon and is observed for several bcc elements, such
as Cr, Mo and W. Although the effect is partly governed by
solute solution softening [10,11] and the modification of the
properties of screw dislocations [12,13], the role of segregation of Re to the GBs is of equal importance. Atom probe
field-ion microscopy (APFIM) measurements carried out
by Seidman et al. [14,15] have revealed a pronounced segregation of Re atoms to the GBs, increasing the local concentration of Re atoms in W up to threefold. Such high
concentrations can be expected to modify the cohesive
properties of the GBs; however, the experimental picture
in this connection is controversial. While, in an early work
[16], it was stated that Re favours intergranular fracture
(suggesting a weakening of the GB), later investigations
have stated exactly the opposite [17–19].
On the computational side, the most accepted and accurate approach to studying segregation on an atomistic level
is density functional theory (DFT). To date, a few works on
segregation in tungsten have been published [20–23], but
there are none on highly alloyed W–25 at.% Re. Setyawan
et al. [22] have carried out an investigation into the dilute
limit at which many transition metals, including Re, are
substituted into a certain geometric variant of a R27 GB
[24] in W. It was found that Re segregates to the GB and
http://dx.doi.org/10.1016/j.actamat.2014.12.053
1359-6462/Ó 2015 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
that, for the specific GB considered, an increase in cohesion
is expected.
In this work we will take a close look at segregation in
the W–25 at.% Re alloy with the use of DFT. We will
establish a close connection to experimental investigations
[14,15] which have revealed that segregation is anisotropic,
i.e. it depends on the character of the GB. Therefore, we
will treat not just one or two GBs (which is traditionally
done in DFT investigations), but a set of 15. Furthermore,
as already shown in Ref. [22], strong changes in segregation
energy between individual sites at a GB can arise. Therefore, an extensive study of segregation energies will be
carried out and we will provide an analysis revealing which
geometric arrangement of atoms around a segregation site
attracts a solute and which arrangements do not. Finally,
segregation in highly alloyed materials differs from segregation in the dilute limit due to Re–Re interactions. A meanfield framework for treating segregation in highly alloyed
material was outlined in Ref. [25] on the basis of the embedded atom method. To the best of our knowledge, this
method has never been adapted for DFT calculations. All
previous DFT investigations of GB segregation that we
are aware of treat segregation in the dilute limit, i.e. assume
that the bulk concentration of the solute elements is very
small. In contrast, we will adopt the virtual crystal approximation (VCA) [26,27], which provides an ab initio
implementation of the mean-field methodology described
previously [25]. With this method, we will finally also
investigate the impact of Re segregation on the cohesive
properties of the GB by calculating changes in the work
of separation, which is a fundamental thermodynamic
quantity controlling the mechanical strength of an
interface [28,7].
2. Theoretical framework for segregation in highly alloyed
materials
The theoretical framework for an atomistic treatment
of segregation in a highly alloyed material has been outlined previousely [1]. Two methods can be used: a full
Monte-Carlo approach based on the Metropolis algorithm
or a direct minimization of the grand canonical potential.
Both methods are exact in principle. In practice, however,
approximations are invoked to make the methods tractable. An assumption commonly made when minimizing the
grand canonical potential is the mean-field approximation,
which reduces the computational effort considerably but
still provides reliable results. as investigated in detail in
Ref. [25] on the basis of a semi-empirical potential. We will
shortly repeat the essential elements of this approach
(see Refs. [1,25] for details) to establish the connection to
the present ab initio mean-field treatment and elucidate
the underlying approximations.
We consider the GB and the surrounding bulk material
as an open system which can exchange atoms with a reservoir. The open system consists of N atomic sites and the
microscopic state of the system is fully defined by the
coordinates Ri and the site occupancies pi of all sites. pi is
0 if a W atom occupies the site and 1 if an Re atom occupies
the site. In the mean-field approximation, the grand
canonical potential X is expressed as a function of the
expectation values ri = hRi i and ci = hpi i. ci is the average
occupancy of Re atoms at site i and corresponds to the
181
solute concentration of the site, while ri is the mean position of atomic site i. Hence,
X ¼ E TS v TS c lW N W lRe N Re
ð1Þ
where E is the internal energy of the system, S c is the
configurational part of the entropy, S v is the vibrational
part of the entropy, T is the temperature, lW and lRe are
the chemical potentials of W and Re, and N W and N Re
are the number of W and Re atoms in the system.
The solution of the mean-field segregation problem is
obtained by minimizing X with respect to the variables
fci g and fri g. Since the three terms E; S c and S v depend
on fci g and fri g, this is a heavy task. Hence, it is common
to invoke approximations for the calculations of E; S c and
S v , and our choices will be outlined in the following.
In an ab initio description, the dependency of E on the
fci g can be calculated in several ways: (i) using supercells
with random distribution of atoms [29]; (ii) within the
coherent potential approximation (CPA) [30]; or (iii) with
the VCA [26,27]. The first approach is computationally
rather demanding, which makes it virtually infeasible in
connection to the GB modelling, where rather large supercells with up to 260 atoms even for a unary system are
needed. The CPA would be the method of choice; however,
its currently available implementations do not allow one to
take local lattice relaxations into account in an efficient
manner, and this significantly reduces the accuracy of the
defect calculations.
For this work, we decided to use the conceptually simpler VCA, which allows the treating of defects in binary
alloys, including lattice relaxations. The idea of the VCA
is to substitute each atom in the lattice with a virtual
Ax B1x atom. The fictitious atom has an effective intermediate electron and a nucleus number that interpolates
between the two elements. Although, in general, the VCA
“is not a good approximation for transition metal alloys”
[27], it has been shown to yield not only lattice parameters,
bulk moduli [12] and phonons [31] of WRe alloys with reasonable accuracy, but also other phenomena, such as core
structures of screw dislocations [12,13]. This good description of the effective interatomic bond can be attributed to
the fact that, for the WRe system, the neighbouring W
and Re atoms have strongly overlapping d-bands and that
the band structure of their alloys is very insensitive to the
d-band filling. We are unaware of any investigation
employing the VCA for calculating segregation energies.
Therefore, we provide validation with a supercell approach
for a model GB in the supporting data.
For the treatment of S c , we assume a regular solution,
hence,
X
S c ¼ k B ½ci ln ci þ ð1 ci Þ ln ð1 ci Þ
ð2Þ
i
where k B is the Boltzmann constant. This approximation is
widely used and is reasonable for WRe where interaction
coefficients, and consequently short-range-order effects,
are comparatively small [32]. Regarding S v , we assume that
it does not depend on fci g; fri g, i.e. it is zero. This is a quite
common approximation in DFT investigations because a
treatment of S v on the basis of, for example, the quasiharmonic approximation is computationally rather demanding. In a previous investigation carried out for many different
solute elements in Cr2 O3 , segregation tendencies have been
found to decrease with increasing temperature [33]. We expect
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D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
the same effect to occur in WRe alloys, but leave an explicit
treatment to future investigations.
With these approximations, only Eðfci g; fri gÞ depends
on the fri g. Hence, the minimization with respect to the
fri g is carried out with the structural optimization algorithm provided by the ab initio code. The minimization
with respect to the fci g, on the other hand, is carried out
by setting the first derivative of X with respect to ci equal
to zero.
@E
ci
¼ lRe lW
þ k B T ln
1 ci
@ci
ð3Þ
Since this relationship is valid for every site in the system, it
is convenient to get rid of the chemical potentials by equating the left-hand side of this equation for an interface site i
with a bulk site 0 to obtain the Bragg–Williams equation:
ci
c0
1 @E @E
:
ð4Þ
¼
exp
k B T @ci @c0
1 ci 1 c0
The term in the exponential
Eseg ¼
@E @E
@ci @c0
ð5Þ
defines the segregation energy which, according to this
definition, is negative if segregation is favourable. The
minimization of X requires a simultaneous solution of
Eq. (4) for all N sites and the minimization with respect
to the fri g. Due to the dependence of Eseg on all ci s and
ri s, the minimization procedure can be involved, requiring,
e.g., a self-consistent treatment [34]. However, we anticipate that the dependency of Eseg on the ci s is moderate in
our case; therefore, a non-self-consistent approach will be
employed here. In summary, the difference between the
present approach and traditional DFT investigations in
the dilute limit is that Eseg is calculated in the effective medium
of W–25 at.% Re VCA atoms rather than in pure W.
3. Methodology
A schematic representation of the unit cells involved in
the calculations is shown in Fig. 1. The unit cell for the
GB calculations is shown in panel (a). It contains two
grains, highlighted in red and blue, with a vacuum layer
on top. The minimum amount of vacuum needed to
exclude interactions between the two surfaces was found
to be 6 Å and the minimum length of the grains is 30 Å.
The geometry of the GBs was determined using a
c-surface procedure. The two grains are shifted with respect
to each other on a grid on the GB plane and at every point
of the grid a complete ionic relaxation is carried out. The
structure of lowest energy is selected as the GB structure.
For GBs with large unit cells (R17; R19; R33; R43 and the
asymmetric twist GBs), the c-surface procedure was first
carried out with semi-empirical 2NN-MEAM potentials
[35] and the energetically lowest structures were then validated by DFT. For all other GBs, the c-surface procedure
was computed directly by DFT. The free surface structures
(Fig. 1b) were obtained from a single ionic relaxation. All
GB starting geometries were built using the python ASE
package [36].
All computations presented in this study were performed
with the DFT implementation of the VASP software and its
supplied environment [37–44]. This includes projectoraugmented wave functions (PAW) and the exchange
correlation functional PBEsol [45]. The VCA is implemented in the PAW approach as described previously
[12,13]. PAWs are created for virtual atoms of intermediate
electron and nucleus number that interpolate between the
two elements.
To find suitable parameters for the calculations, we
performed a series of convergence tests that are presented in detail elsewhere [46]. For an accurate treatment
of tungsten and rhenium, the 5p6 semicore electrons are
included as valence electrons, leading to 12 (5p6 6s2 5d 4 )
and 13 (5p6 6s2 5d 5 ) valence electrons for W and Re, respectively. Thus, in the VCA treatment of W–25 at.% Re, 12.25
electrons were used in the valence. The k-point mesh was
12 12 1 for a 4:47Å 4:47Å 66Å cell and was
rescaled for larger cells to have comparable sampling in
the reciprocal space. The ionic relaxations were terminated
1
when all forces were less than 0:01eVÅ per atom. The
cutoff energy was 226 eV for all calculations. The lattice
constants for the PBEsol potentials were derived from the
Birch–Murnaghan equation of state, yielding 3.156 Å for
pure W and 3.135 Å for W–25 at.% Re within VCA.
4. Results and discussion
4.1. Structure and energetics of GBs without segregation
Fig. 1. Schematic representation of the unit cells used in this work.
Panel (a) depicts the simulation cell used for GB simulations. The
minimum dimensions of grains and vacuum are indicated on the left.
Panels (b) and (c) depict the unit cells used for the calculations of GB
energy and surface energy, respectively.
The GBs investigated in this paper were selected to
establish a close connection with the experimental work
of Seidman et al. [14,15]. The grains were misoriented by
rotation around the h110i axis, where the misorientation
angle / varied in the regime between 20 and 110 . We chose
nine symmetric tilt GBs, one twist and five mixed twist-tilt
GBs to explore systematic trends. All mixed GBs were of
predominant twist character. Using the c-surface procedure, the groundstate structures shown in Figs. 2 and 3
were obtained. The concentrations of every site were kept
fixed at 0.25 throughout the procedure.
As can be recognized from the figures, the GBs reveal
quite different structural motifs at the interface plane.
For the smallest unit cells, which are given by the
D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
183
Fig. 2. Relaxed GB structures of the nine tilt grain boundaries labelled by coincidence site lattice (CSL) notation and misorientation angle /. The
view is for either grains onto the f110g plane and the atom colour distinguishes between the the two different lattice planes. The sites for which
segregation energies are calculated are denoted by numbers.
Fig. 3. Relaxed GB structures of six CSL mixed grain boundaries. The different sizes of the circles and shades of grey refer to different lattice planes.
The angle at the top right of each structure is the misorientation angle and the angle at the top left specifies the tilt component, i.e. the angle between
the GB normal and the h110i axis.
R3h110if112g GB (48 atoms) and the R3h110if111g GB (72
atoms), our geometries are in agreement with previous
works [20,23] on W. To the best of our knowledge, the
other GBs have not been investigated by DFT in any bcc
metal yet; they contain up to 260 atoms in the unit cell
and are computationally more demanding. We note that,
for the R17; R9 and R43 tilt GBs, the structural optimization has shifted the grains with respect to each other in such
a way that the GB has lost its mirror symmetry. This is a
phenomenon which has been observed in other GBs in
bcc metals [23,47–51].
Starting from the relaxed geometries, the GB energies
were calculated using:
cGB ¼
2EGB EFS;1 EFS;2
A
ð6Þ
Here, EGB denotes the total energy as obtained from the
relaxation procedure with cell a in Fig. 1 and EFS;i corresponds to the total energy of cell b, which has the same
dimensions and number of atoms as cell a but contains only
one grain.
The results are presented in Fig. 4. It can be seen that the
tilt GB energies are centred around a mean value of about 2
Jm2 except for the low-energy R3h110if112g GB. This GB
is of particular high symmetry, exhibiting an almost bulklike environment. Hence, this GB is energetically more stable with respect to the other GBs which do not exhibit significant energetic variations. This general energetic
difference between certain R3 GBs and other GBs is confirmed by measurements of grain boundary character distributions [52,53]. Furthermore, the mixed GBs exhibit lower
GB energies compared to the pure tilt GBs.
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D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
Dci =0.75. Other choices for Dci only weakly affect the
segregation energy, as shown by the supporting data. For
the bulk terms, EsBulk ; EBulk , an equivalent procedure is
applied. Note that in the bulk case simulation cells of quadratic shape are used which are sufficiently large to exclude
interactions of the solute atom with its periodic replicas.
Alternatively, it is possible to place the solute in a bulk site
of the GB simulation cell. The corresponding energy is
denoted as EsGB;0 . Then EsBulk EBulk ¼ EsGB;0 EGB and,
by substituting this into Eq. (9) and assuming Dci ¼ Dc0 ,
1 s
¼
Eseg
EGB;i EsGB;0
ð10Þ
i
Dci
Fig. 4. cGB ; cFS and W 0sep for different GBs as a function of the
misorientation angle /.
The surface energy cFS;i is obtained via
cFS;i ¼
FS
EFS;i NNBulk
EBulk
2A
ð7Þ
where EBulk is the total energy from cell c in Fig. 1 and the
FS
accounts for the fact that the two unit cells confactor NNBulk
tain different numbers of atoms. The surface energies
cFS;1 þ cFS;2 show values around 8 J m2 for all GBs. These
values are in good agreement with other calculations
[22,54,55].
The work of separation W sep is obtained from the
expression [56]:
W sep ¼ cFS;1 þ cFS;2 cGB
ð8Þ
Note that in this section W sep is evaluated without segregation. We denote this quantity by W 0sep in the following,
while the work of separation including segregation is
denoted by W sep .
W 0sep displays values of around 6 J m2 for the tilt GBs,
though the value for the R3h110if112g is substantially
higher, indicating its high stability. Also, the mixed GBs
display higher values for W 0sep due to their higher stability
with respect to the tilt GBs. Calculating the work of separation for pure W (data not shown) produces values which
are on average 0:12 J m2 lower compared to the results
above. This reveals that an increase in cohesion with Re
alloying is obtained in the unsegregated state. How segregation can further change this result will be investigated
below.
4.2. Segregation profiles
Segregation leads to a redistribution of Re atoms in the
GB structures considered so far. According to Eq. (5), the
segregation energies are calculated by evaluating the deriv@E
@E
atives @c
. They are approximated numerically by
and @c
i
0
¼
Eseg
i
EsGB;i EGB EsBulk EBulk
Dc0
Dci
ð9Þ
Here, EsGB;i is the total energy of the GB structure from
Fig. 1a, where the concentration at site i has been increased
from the bulk value by Dci , while EGB is the GB total energy
where all atoms have bulk concentration. The concentration is increased by substituting a bulk VCA atom of
ci =0.25 with a pure Re atom of ci =1, resulting in
Note that both definitions have been used in previous DFT
investigations carried out in the dilute limit where c0 ! 0
and Dci ¼ 1 (see e.g. Ref. [56,50] for Eq. (9) or Ref. [23]
for Eq. (10)). In the present case, investigations on the
R3h110if111g GB have shown that the two definitions
agree within 0.02 eV; therefore, the second approach will
be used as it is computationally more convenient.
The site-dependence of the segregation energy is investigated by calculating the segregation energy individually for
every segregation site with Eq. (10). The resulting segregation profiles are presented by the red circles in Fig. 5 for all
GBs. For the tilt GBs, the numbers in the figures allow one
to relate the segregation energies with the corresponding
sites in Fig. 2. The first observation is that the segregation
profile is symmetric for most of the considered tilt and twist
GBs with the exception of the R9; R17 and R43 GBs, which
are of lower symmetry. We see that most tilt GBs have at
least one strong segregation site, with a segregation energy
of about 0:75 eV. For the low-energy R3h110if112g GB,
the pure twist GB and the mixed GBs, segregation is generally weaker. This is consistent with the observation that the
GB energies for these GBs are also smaller than for the tilt
GBs. Another important result is that the segregation profile can be strongly jagged and that the decay of the profile
with the distance to the GB is not monotonic, as would be
expected based on some experimental studies (e.g. [57]).
Especially for the structurally more complex GBs, there
exist sites, directly at the GB, with a coordination geometry
similar to the ideal bulk, while sites with a reduced number
of atoms in the first coordination shell can be found farther
away from the GB.
For future modelling, it is important to understand why
a specific site is attractive to a solute or not. One of the
most important factors to be taken into account is the
deviation from the host crystal structure. The question
remains of how this can be quantified. For that purpose,
we analysed the GB structures with different structure identification methods (Voronoi volume, centrosymmetry
parameter, bond order analysis, bond angle analysis and
common neighbour analysis, as recently reviewed in Ref.
[58]) and correlated the parameters of the different methods
to our calculated segregation energies. Plotting the segregation energy vs. Voronoi volume does not reveal a clear
trend (see Fig. 6a), indicating that the segregation energy
is determined not just by size mismatch; rather, the local
arrangement of atoms around a segregation site seems to
be decisive. Since Re is a hexagonal close-packed (hcp) element, it could be expected that a coordination geometry
similar to hcp or face-centred cubic (fcc) would give highly
attractive segregation energies. Contrary to this expectation, fcc or hcp environments identified by the common
D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
185
Fig. 5. Eseg
as a function of distance for all GBs. The red circles are from DFT calculations, while the blue joined circles are the predicted segregation
i
energies from bond order analysis. All sites within 2Å of the GB plane (see vertical lines) are considered to be GB sites in the calculation of the
enhancement factor b. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
neighbour analysis were not found to correlate with strong
segregation energies.
Instead, we have found a good quantitative correlation
for bond order parameters. The idea of bond order analysis
is to define for each site a set of vectors ri pointing to all
neighbouring sites contained in a sphere of radius rcut and
to evaluate the spherical harmonics for these vectors. The
lth order parameter for a site is then given as
vffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
u
þl
u 4p X
jq j2
ð11Þ
Ql ¼ t
2l þ 1 m¼l lm
with
qlm ¼
1 X m
Y ðri Þ
N ri <rcut l
ð12Þ
Here, Y ml ðrÞ ¼ Y ml ðh; uÞ are the spherical harmonics and N
is the number of neighbouring sites within the sphere. Further details are given in Ref. [58]. We chose rcut ¼ 3:7 Å
since this includes first and second nearest neighbours of
the bcc host lattice. For different crystal structures, Ql
assumes different values. Usually the so-obtained parameters Q4 and Q6 are used to differentiate between fcc, hcp
and bcc structures, yet we found an intimate correlation
between the Q5 parameter and the segregation energy. This
is shown in Fig. 6b, where a clear linear trend emerges.
We have thus fitted the segregation energies with two
parameters, Q5 and the Voronoi volume, which allows us
to estimate the segregation energy of Re to all sites of our
GBs based on geometric information only. The results are
shown as joined blue dots in Fig. 5. The agreement is quite
satisfactory. Therefore, with additional improvements,
which we will leave to future investigations, fits based on
bond order parameters might provide a highly convenient
way to obtain segregation profiles on the basis of only a
very reduced number of DFT calculations. Indeed, fitting
Eseg for only the two R3 tilt GBs and then using this relation
to predict the segregation energies for all other GBs already
gives very good results in the present case (see the dashed
line in Fig. 6c.
4.3. Concentration of Re atoms at the GBs
To establish a connection with the measurements from
Refs. [14,15], the concentration of Re atoms at the GBs is
estimated in the following. In thermal equilibrium, the Re
concentration for every site of the GBs is obtained from
Eq. (4). It therefore depends on the temperature, bulk concentration and segregation energy of site i. In general, the
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D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
Fig. 6. Correlation of the Voronoi volume, and of the bond-order parameters Q4 ; Q5 ; Q6 . with the segregation energies. The red dots correspond to
values from the two R3 tilt GBs only. In (c) the fit-results when using all points (solid) or just the red points (dashed) are also shown. (For
interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
solution of these equations is complicated by the fact that
the segregation energy itself can depend on the concentrations, making a self-consistent solution procedure necessary, as described earlier. In the case of repulsion between
solutes, the segregation energy for a specific site will
become less negative if neighbouring sites are strongly
enriched. Hence, depletion effects can occur, as has been
discussed, for example, for GBs and for surfaces in CuNi
[25,59]. To investigate the importance of repulsive interactions between Re atoms, we calculated segregation profiles
for two GBs (R3h110if111g and R19h110if116g) where a
strong segregation site was occupied by an Re atom, i.e.
ci was changed from 0.25 to 1, while the segregation profile
on the other sites was calculated as described in the previous section. As shown by the supporting data, the segregation profile changes appreciably only for the next nearest
neighbours, for which the segregation energy increases up
to about 0.15 eV. In general, ci will be smaller than 1 (somewhere between 0.25 and 1, depending on the temperature)
and the segregation energy increase will be smaller than
0.15 eV. In the following, we do not employ a self-consistent procedure since the resulting depletion effects are not
expected to greatly influence the overall enrichment of the
GBs. We leave a detailed investigation of such effects to
future investigations.
The Re concentration ci for every site is thus calculated
by Eq. (4) at the same temperature, i.e. 1913 K, as in experiments [14,15], using the segregation energies from Fig. 5.
The Re concentration at the GB is obtained by averaging
over all fci g at the interface
C GB ¼
X
1 GBsites
ci
N GB i
ð13Þ
where N GB is the number of sites at the GB. All sites within
2 Å from the GB plane are considered to belong to the
GB. The enhancement factor b ¼ C GB =c0 is plotted against
Fig. 7. Enhancement factor b as a function of misorientation angle /
at 1913 K.
D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
the misorientation angle for tilt, twist and mixed GBs in
Fig. 7, where the experimental values from [14,15] are also
shown.
The same characteristic progression of b with misorientation angle is recognized in theory and experiment. The
marked minimum around 70 results from the low segregation energies of the R3 GBs at this angle. The remaining
features arise from variations of the areal density of highly
attractive segregation sites. This density is small close to 0
or 70 and increases as one moves away from these points.
The twist and mixed GBs reveal generally smaller segregation levels.
Between 0 and 70 the calculated segregation levels
appear somewhat overestimated in comparison to experiment, while between 75 and 100 the agreement is very
good. The approximations inherent in the simulations are
expected to affect the segregation levels in a similar way,
and therefore the relative heights of the b vs. / curve are
not expected to change with a higher-level theoretical treatment. The critical factor for the discrepancy between theory
and experiment is represented by the assignment of atoms
belonging to the GB. A clear connection to experiment cannot be made in this respect, so we have adopted a simple
criterion based on the distance to the GB. Indeed, differences in this assignment are likely to dominate the observed
differences between theory and experiment.
4.4. Change in the work of separation
To calculate the work of separation, we discuss segregation energies to the free surface (FS) Eseg
FS;i and compare
Fig. 8, where the
them with the already presented Eseg
in
GB;i
same symbols are used for GB and FS sites corresponding
to each other. The FS segregation profiles are smoother
than the GB segregation profiles and the minima are not
as deep, i.e. not below 0.5 eV. However, there also exist
sites for which the surface segregation is more pronounced
than the corresponding GB segregation. These values for
the segregation energies on surfaces can be compared to
previous results obtained for the f110g surface, for which
Fig. 8. Segregation energies to the surface (left) and the GB (right) in
W25 at%Re for four GBs (top 4 panels). The bottom 2 panes show the
segregation energies in pure W for two selected GBs. Matching
symbols denote sites that correspond to each other.
187
a segregation energy of 0.27 eVs was reported for
W–Re [60]. For the f110g surface we obtained a segregation energy of 0.23 eVs, which is very close to the previous
results, considering the substantially different methodologies involved.
Assuming the fast separation limit where no diffusion
takes place during cleavage, the change in the work of separation due to segregation to site i is given by the following
expression [56]:
seg
DW sep;i ¼ CGB;i ðEseg
FS;i E GB;i Þ
ð14Þ
where CGB;i ¼ ci =A is the solute excess at the GB per area.
Segregation to GB sites with stronger segregation to the
GB compared to the FS leads to an enhancement in
cohesion, while the opposite is the case if segregation to
the surface is stronger. With a summation over all sites at
the GB, the cumulative change in the work of separation
can be calculated as:
DW sep ¼
GBsites
X
DW sep;i
ð15Þ
i
Note that Eq. (14) includes the temperature dependence
arising from configurational disorder via ci ðT Þ. The work
of separation so calculated therefore corresponds to the
situation where the alloy is kept sufficiently long at temperature T to establish thermodynamic equilibrium between
the bulk and the GB chemical composition, which is then
suddenly quenched down to very low temperatures to preserve the disordered state of the elevated temperature.
In Fig. 9 this temperature dependence of the work of
separation W sep ¼ W 0sep þ DW sep is shown for four different
GBs. First we focus on the results for T ¼ 0K. All considered segregation sites are fully occupied and the total
change in work of separation is seen to be positive for all
four GBs. The largest effect can be seen for the high-energy
R3h110if111g, where a 13% increase in work of separation
arises from segregation.
Raising the temperature decreases the concentration until,
at the upper limit of T, it reaches the bulk value and W sep
decays to W 0sep . In the intermediate regime, however, nonmonotonic effects can arise, i.e. W sep increases with T. In fact,
raising T in a regime where the concentration decreases for a
weak segregation site with negative DW sep;i while the concentration remains high for a strong segregation site with positive DW sep;i results in an increase in work of separation,
thereby explaining the non-monotonic behaviour.
As an overall effect, Re segregation increases the cohesion in W–25 at.% Re, and the effect is most pronounced
Fig. 9. Temperature dependence of W sep for four GBs. The dashed line
denotes W 0sep .
188
D. Scheiber et al. / Acta Materialia 88 (2015) 180–189
the precise knowledge of the segregation profiles, a close
connection to APFIM measurements was established where
the Re content was measured as a function of misorientation angle. Reasonable agreement is found, although a
trend towards higher segregation levels for some misorientation angles was observed in the calculations. Furthermore, we have shown that segregation of Re increases the
work of separation for both W and W–25 at.% Re. This
is consistent with experimental works that have reported
an increased tendency for transgranular cleavage in WRe
alloys.
Acknowledgements
Fig. 10. Comparison of the temperature dependence of W sep for the
two R3 GBs, once in a pure tungsten matrix and once in the W–25 at.%
Re matrix. The dashed line denotes W 0sep .
for the GBs with low W 0sep . Therefore, especially the weak
GBs are reinforced by the Re atoms, and the present calculations support experiments [17–19] which have reported a
transition to more transgranular fracture with Re alloying.
4.5. Effects from VCA embedding
As the final aspect of this investigation, we focus on the
question of how large the difference in segregation and
change in work of separation would be for a treatment in
the dilute limit. Fig. 8 shows that segregation energies can
be larger in magnitude in pure W compared to the
ones in W–25 at.% Re (pure tungsten Eseg
max ¼ 0:7 eV,
W–25 at.% Re: Eseg
max ¼ 0:58 eV). This overestimation of
segregation energies has an influence on the enhancement
factor, which would be about 15% larger for the highenergy R3 and about 5% for the low-energy R3 in pure
W. Fig. 10 compares DW sep for the two R3 GBs. We
observe that W sep for W–25 at.% Re alloy with segregation
computed in pure tungsten shows some differences if computed in the matrix with VCA. For the high-energy R3
there is a constant deviation for all temperatures of about
0:2 J m2,while for the low-energy R3 the results differ from
each other only slightly. Hence, the use of VCA is more
important when calculating the properties of the highenergy GB.
In summary, the embedding in the W–25 at.% Re VCA
matrix does not give a different qualitative picture of
segregation compared to an embedding in pure W. However, considering the fact that the two calculations have
the same computational cost, the non-negligible quantitative differences are certainly worth taking into account.
5. Conclusion
We have carried out an ab initio investigation of Re segregation in the W–25 at.% Re alloy. We have used a c-surface approach to obtain reliable geometries and have used
the VCA to treat segregation in the highly alloyed material.
The obtained segregation profiles reveal a strong site
dependence, with the strongest segregation energies found
for tilt GBs (0:75 eV). We have identified a procedure
to predict high segregation energies from structural parameters based on bond order analysis, which could provide a
highly convenient method to get reliable segregation energies in the future with much less computational effort. With
We would like to thank G. Kresse for providing VCA PAWs.
We thank the IFERC-CSC Helios supercomputer and the Vienna
Supercomputing center for providing computing resources. Financial support by Plansee SE and by the Austrian Federal Government (in particular from Bundesministerium für Verkehr,
Innovation und Technologie and Bundesministerium für Wissenschaft, Forschung und Wirtschaft) represented by Österreichische
Forschungsförderungsgesellschaft mbH and the Styrian and the
Tyrolean Provincial Government, represented by Steirische Wirtschaftsförderungsgesellschaft mbH and Standortagentur Tirol,
within the framework of the COMET Funding Programme is
gratefully acknowledged.
Appendix A. Supplementary data
Supplementary data associated with this article can be
found, in the online version, at http://dx.doi.org/10.1016/
j.actamat.2014.12.053.
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