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Computational Thermodynamics Aided High-Entropy Alloy Design

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Thermodynamic calculation is used to shed light on the design and development of high-entropy alloys (HEAs) in this article. A thermodynamic database for the Al-Co-Cr-Fe-Ni was developed, and phase diagrams of this system were calculated. The calculated results, such as primary solidified phases, which are fractions of stable phases at a given alloy composition, explain the published experimental observations fairly well for both as-cast and homogenized alloys. These calculations also confirm the effect of each element on the face-centered cubic (fcc)/body-centered cubic (bcc) structure transition as published in the literature. The role of thermodynamic calculation in aiding effective design of HEAs is clearly demonstrated by this work.
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Computational Thermodynamics Aided High-Entropy
Alloy Design
CHUAN ZHANG,
1,2
FAN ZHANG,
1
SHUANGLIN CHEN,
1
and WEISHENG CAO
1
1.—CompuTherm LLC, 437 S. Yellowstone Dr., Suite 217, Madison, WI 53719, USA. 2.—e-mail:
Chuan.Zhang@computherm.com
Thermodynamic calculation is used to shed light on the design and develop-
ment of high-entropy alloys (HEAs) in this article. A thermodynamic database
for the Al-Co-Cr-Fe-Ni was developed, and phase diagrams of this system were
calculated. The calculated results, such as primary solidified phases, which
are fractions of stable phases at a given alloy composition, explain the pub-
lished experimental observations fairly well for both as-cast and homogenized
alloys. These calculations also confirm the effect of each element on the face-
centered cubic (fcc)/body-centered cubic (bcc) structure transition as published
in the literature. The role of thermodynamic calculation in aiding effective
design of HEAs is clearly demonstrated by this work.
INTRODUCTION
High-entropy alloy (HEA), representing a new
concept of alloy design, has revolutionized the tra-
ditional alloy design approach, which is usually
based on one or, at most two key elements. On the
contrary, HEAs have multiprincipal elements that
are in equal, or near to equal, atomic ratios. Sur-
prisingly, rather than forming the anticipated
complex microstructure with a mixture of com-
pounds, HEA tends to form a simple solid solution
structure, such as face-centered cubic (fcc) or body-
centered cubic (bcc), or a mixture of both. This
tendency is due to the high entropy of mixing of the
solution phases. Thermodynamically, a system
reaches equilibrium when the Gibbs energy of the
system reaches its global minimum at constant
temperature and pressure. The Gibbs energy of
mixing of a solution phase is described as
DGmix ¼DHmix TDSmix (1)
In which DH
mix
is the enthalpy of mixing and DS
mix
is the entropy of mixing. For a random mixing of
components, the configurational entropy of mixing
is calculated by
DSmix ¼RXn
i¼1xilnðxiÞ(2)
Tis the temperature in Kelvin and Ris the gas
constant. For an n-element solution phase, the
DS
mix
reaches its maximum Rln(n), when an equal
molar fraction of each element (x
i
) is used. A higher
entropy of mixing leads to lower Gibbs energy at
constant temperature, which makes the solution
phase tend to be more stable.
1,2
HEAs have attracted more and more attention in
recent years due to their numerous beneficial
mechanical, magnetic, and electrochemical charac-
teristics, such as high strength, high thermal sta-
bility, high wear resistance, and high oxidation
resistance. These promising properties offer many
potential applications in various fields, such as
tools, molds, dies, diffusion barriers, and soft mag-
netic films.
1,36
Current research on HEAs mostly
focuses on the AlxCoCrCuFeNi alloys, while the
addition of other components such as Ti and Mn are
also explored.
715
It is found that the addition of Al
and other elements has a strong effect on the
properties of the HEAs. For example, the structure
of the Al
x
CoCrFeNi alloys varies from fcc to
fcc + bcc and to fully bcc
5,16,17
with the increasing of
Al ratio. The hardness and strength increase with
the increasing amount of the bcc phase, but the al-
loy becomes more brittle.
18,19
Many publications
have focused on understanding and controlling the
structures within the as-cast and/or homogenized
HEAs.
JOM, Vol. 64, No. 7, 2012
DOI: 10.1007/s11837-012-0365-6
2012 TMS
(Published online June 29, 2012) 839
Even though HEAs are based on the concept of
multiprincipal elements, it does not mean that one
can develop HEAs by simply mixing a bunch of
elements together with an equal atomic ratio. Now
the question is how to select the principal elements
with proper ratios so that HEAs with desired
properties can be developed. Up to now, a tremen-
dous amount of effort has been made on the inves-
tigation of the fcc/bcc phase transition of the HEAs
with the addition of different alloying elements. In
addition to use the traditional trial and error
method, several criteria have been proposed in the
literature.
20
These criteria include the following:
High entropy of mixing (DS
mix
>1.61R), which
requires at least five principal components in the
system with equal atomic ratio.
Small enthalpy of mixing (15 <D
mix
<5 kJ/
mol), which is due to the fact that a large positive
enthalpy of mixing results in the segregation of
different elements, and a large negative enthalpy
of mixing leads to the formation of compounds.
Small atomic size difference (d<4.6), which
favors the formation of solid-solution phase.
Recently, the effect of valence electron concentra-
tion on the stability of fcc/bcc phase in the HEAs
was discussed by Guo et al.
21
and the (bcc)
6:87 VEC ¼Pn
i¼1ciVECðÞ
i<8ðfcc) criterion was
proposed on the basis of the experimental data of the
Al
x
CoCrCuFe, Al
x
CrCuFeNi
2
and Al
x
CoCrCuFeNi
systems.
However, the above criteria derived from certain
series of experimental data are system dependent
and may not be applicable to other systems. It,
therefore, needs an alternative approach that can be
used to guide the selection of suitable elements and
compositions for the development of HEAs with
desired properties. According to thermodynamics,
the equilibrium state and the developed micro-
structure of an alloy is a result of stability compe-
tition among all the phases in a system. Phase
diagrams, which are graphic representation of
phase relationship in a system, provide detailed
information on the stability of phases as a function
of composition, temperature, and pressure. They
are, therefore, the road maps for materials scien-
tists/engineers in alloy design and development.
Phase diagrams have been traditionally determined
purely by experimentation, which is costly and time
consuming. While an experimental approach is
feasible for the determination of binary and simple
ternary phase diagrams, it is less efficient for the
complicated ternaries and becomes extremely chal-
lenging for higher order systems over wide ranges of
composition and temperature. On the other hand,
commercial alloys are often multicomponents in
nature, and HEAs usually require at least five
components. In order to understand the phase
relationship in the HEA systems, a more efficient
approach is therefore needed in the determination
of multicomponent phase diagrams. In recent years,
a phenomenological approach, or the CALPHAD
approach,
22
has been widely used for the study of
phase equilibria of multicomponent systems. In this
approach, separately measured phase equilibrium
data and thermodynamic properties are converted
to a unique thermodynamic description of the sys-
tem in question. This thermodynamic description
can be used not only to reproduce the known ther-
modynamic properties but also to predict the
unknown thermodynamic properties of the system.
More importantly, thermodynamic descriptions of
the constituent binaries and ternaries can be com-
bined and extrapolated on the basis of geometric
models to develop a thermodynamic description of a
multicomponent system. The term ‘‘thermodynamic
database’’ or ‘‘database’’ is usually used for a mul-
ticomponent system instead of ‘‘thermodynamic
description.’’ The ultimate goal of the CALPHAD
approach is to use the thermodynamic database
developed to predict phase equilibria and thermo-
dynamic properties of a multicomponent system
that are usually not experimentally available. The
application of the CALPHAD approach in aiding
materials design has been discussed elsewhere.
2325
Especially, this approach has been successfully used
to predict the forming ability of metastable bulk
metallic glasses.
2629
In this study, this approach is
used to predict the fcc/bcc phase transition of both
as-cast and homogenized AlxCoCrFeNi HEAs. The
calculated results are compared with the available
literature data.
CALCULATION AND DISCUSSION
A thermodynamic database for the Al-Co-Cr-Fe-
Ni was developed using the CALPHAD approach,
and phase diagrams were calculated to understand
the phase relationships in this system. The current
Al-Co-Cr-Fe-Ni database was obtained via extrapo-
lation from the lower order constituent binary and
ternary systems at the whole composition range.
Based on our experience,
2329
the interaction
parameters of lower order constituent systems are
the most effective and important to obtain a reliable
higher order thermodynamic database. Note that no
higher order (quaternary or quinary) interaction
parameters were used in our current thermody-
namic database. Some ternary phases were modeled
in our current thermodynamic database on the basis
of the literature experimental data. No higher order
phases (quaternary or quinary) have been reported
in the literature. All calculations throughout this
paper are carried out by Pandat
30
software (Com-
puTherm LLC, Madison, WI). Figure 1shows the
vertical section of the CoCrFeNi-AlxCoCrFeNi with
xvaries between 0 and 3. This figure clearly dem-
onstrates the phase stability change when adding Al
to the CoCrFeNi alloy. It is seen that when x<0.75,
the primary solidified phase is fcc, and when
x>0.75, it is bcc_B2, which solidifies first. In the
following, we will use bcc_A2 to represent the
C. Zhang, F. Zhang, Chen, and Cao840
disordered bcc structure and bcc_B2 to represent
the ordered structure, both of which exist in this
system. If bcc is used, then it means bcc structure in
general, either ordered or disordered or the mixture
of both. Figure 1indicates that pure fcc structure
will be developed if a small Al ratio is used, while
the bcc structure will be developed if a higher Al
ratio is used, and a mixture of fcc + bcc should be
seen in between. This is exactly what was observed
by many researchers who have carried out experi-
mental studies of AlxCoCrFeNi alloys.
7,12,16,3134
Recently, Kao et al.
34
conducted systematic
microstructure investigations on the as-cast,
homogenized, and deformed Al
x
CoCrFeNi HEAs
with various Al contents. Figure 2shows their
experimental observation of microstructure depen-
dence on the Al content for both as-cast and
homogenized conditions. As is shown in Fig. 2a for
the as-cast structure, they found that it is an fcc
structure when x<0.45 and a bcc structure when
x>0.88. The fcc + bcc duplex structure was seen
when the Al ratio is in the midrange, i.e.,
0.45<x<0.88. Since the as-cast structure is
developed with a very high cooling rate, Scheil
simulation is carried out in this study to explain the
structures obtained by Kao et al.
34
Figure 3shows
the Scheil simulation of fraction of solid as a func-
tion of temperature for various Al ratios. Figure 3a,
shows an fcc + bcc structure solidified together from
liquid even for x= 0.1. However, with this small Al
ratio, 99.2% of the liquid forms the primary fcc
phase, and the total amount of bcc formed from the
calculation is only 0.23%, which is hardly seen even
though it does exist. When x= 0.3, even though 10%
of the liquid is left after primary solidification of fcc
phase, the total bcc phase that may form is only
2.3% according to the calculation. It is not surpris-
ing that no bcc was observed by Kao et al.
34
when
x= 0.3. The structure starts to change for the case
of x= 0.5. It is seen from Fig. 3a that 35% liquid is
still there to form fcc + bcc duplex structure when
x= 0.5. The simulation shows that the total bcc that
may form in this case is 7.4%, which is sufficient to
be observed in the microstructure. The simulation
for x= 0.8 shows very interesting features. The
primary solidified phase is bcc-B2 (total 2.4%), while
97.6% liquid forms the mixture of bcc_B2+
bcc_A2 + fcc. The solidification of this alloy finishes
in a narrow temperature range, from 1263Cto
1191C. This composition is close to the so-called
deep eutectic point and may develop into an amor-
phous structure.
35
Figure 3b shows the solidification curves for
x0.8 of the Al
x
CoCrFeNi alloys, which indicate
that the primary solidified phase is bcc_B2. Even
though Kao et al.
34
observed only bcc structure for
x>0.88, many publications suggested that this is
true only when x>1.0.
16,17,36
According to our
simulation as shown in Fig. 3b, when x= 1.0, only
7% of the liquid is consumed to form the primary
bcc_B2 and the next 20% of liquid forms bcc phases
(both bcc_A2 and bcc_B2). Then, the rest of liquid
forms bcc + fcc structures. What should be men-
tioned is that the temperature only drops less than
15C (1189–1175C) for the bcc + fcc mixture to
finish solidification. It should also be pointed out
that the simulation shows that the bcc structure is a
mixture of ordered bcc-B2 and disordered bcc_A2
when x>1.0, which is consistent with many pub-
lished experimental works.
16,17,36
The simulation
shows that the fcc phase should appear even when
x= 2, while in reality, one may not observe it due to
its insignificant amount. As is seen, with the
increasing of x, the amount of liquid left for the
Lbcc_B2 + bcc_A2 + fcc reaction becomes
Al ratio (x)
T[C]
fcc fcc+bcc bcc
fcc
Liquid
L+bcc_B2
L+bcc_A2
L+bcc_A2+bcc+B2
bcc_A2+bcc_B2
L+fcc
fcc+
bcc_B2 fcc+bcc_A2+bcc_B2
L+fcc+
bcc_A2
L+fcc+
bcc_B2
L+fcc+bcc_A2+bcc_B2
0 0.5 1 1.5 22.5 3
1000
1100
1200
1300
1400
1500
1600
Fig. 1. The calculated isopleth of the Al
x
CoCrFeNi alloys with x=
0–3 using our current thermodynamic description.
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0
Homogenized AlxCoCrFeNi at 1100oC for 24h
Kao et al. [2011Kao]
Al ratio (x)
bcc
bcc+fcc
fcc
As-cast AlxCoCrFeNi
(a)
(b)
Fig. 2. Experimentally measured transition ranges of the Al
x
Co
CrFeNi alloys by Kao et al.
34
: (a) as-cast and (b) homogenized at
1100C for 24 h.
Computational Thermodynamics Aided High-Entropy Alloy Design 841
smaller, and the solidification temperature range
gets smaller. Both factors make it difficult to see the
fcc phase in the solidified microstructure under a
high cooling rate.
In addition to the as-cast structure, Kao et al.
34
also characterized the structure evolution of the
homogenized Al
x
CoCrFeNi HEAs at 1100C for
24 h. Their experimental data indicated that the
fcc + bcc transition region is at 0.3<x<1.17,
which agrees with the calculated phase boundary
(0.35<x<1.34) of this study fairly well (Fig. 1).
Note that the calculated phase diagram corresponds
to the equilibrium state, while the measured one
may not yet reach equilibrium due to the sluggish
diffusion of elements in the HEAs and short
annealing period (24 h). Chou et al.
16
also investi-
gated the phase transformation of Al
x
CoCrFeNi
alloys at low temperatures using the differential
thermal analysis (DTA) (<1200 K) and high-tem-
perature x-ray diffraction (HTXRD) (<1000 K). The
precipitation of a rphase that has a NiCoCr struc-
ture was found at temperatures higher than 873 K.
Using the thermodynamic database we developed in
this study, an equilibrium line calculation is per-
formed for the Al
0.875
CoCrFeNi alloy. As shown in
Fig. 4, the rphase does form in the temperature
range of 720 K to 1078 K. Chou et al.
16
did not
observe the rphase between 720 K and 873 K,
which is not surprising. Since the precipitation is a
diffusion-controlled process and a certain amount of
phase is necessary for the HTXRD phase identifi-
cation, the observed precipitation of a rphase will
be delayed during both the DTA and the HTXRD
measurements. Excluding the uncertainties from
both experimentation and thermodynamic calcula-
tion, our thermodynamic prediction shown in Fig. 4
agrees qualitatively with the experimental obser-
vation of Chou et al.
16
Further systematic phase
transformation study for the Al
x
CoCrFeNi alloys
will be necessary especially in the solid state for
quantitative comparison.
It has been found that both Al and Cr are stabi-
lizers of the bcc-based structure.
36,37
The effect of Al
on the fcc/bcc phase transition has been discussed
above in detail. It will be interesting to understand
the effect of Cr in this regard. To take advantage of
thermodynamic calculation, the isopleths of Al-
CoCr
y
FeNi-Al
x
CoCr
y
FeNi with y=0.5,1,1.5,and2,
respectively, were calculated and shown in Fig. 5a–d.
With the increasing addition of Cr ratios from 0.5 to
2 as shown in Fig. 5a–d, the disordered bcc-A2
phase becomes stable in larger and larger composi-
tion and temperature ranges at the expense of both
ordered bcc_B2 and fcc. Figure 4clearly indicates
the difference of Al and Cr. In general, Al stabilizes
both bcc_A2 and bcc_B2, yet it is more in favor of
bcc_B2, while Cr stabilizes bcc_A2 but destabilizes
bcc_B2. The phase transition ranges of Al
x
CoCr
y
FeNi alloys homogenized at 1100C were also cal-
culated and shown in Fig. 6. It indicates the bcc
phase region increases and the fcc/fcc + bcc regions
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
1200
1300
1400
1500
L-->bcc_A2+fcc+bcc_B2
L-->bcc_A2+fcc
L-->fcc+bcc_B2
Temperature [C]
Fraction of Solid
x=0.1
x=0.3
x=0.5
x=0.7
x=0.8
L-->fcc
L-->bcc_A2
(a)
1150
1200
1250
1300
1350
1400
1450
1500
L-->bcc_B2+bcc_A2
Temperature [C]
Fraction of Solid
x=0.8
x=1.0
x=1.2
x=1.4
x=1.6
x=1.8
x=2.0
L-->bcc_B2
(b)
L-->bcc_A2+fcc+bcc_B2
L-->bcc_A2+fcc
L-->bcc_A2
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
Fig. 3. Solidification paths calculated by the Scheil model for the
Al
x
CoCrFeNi alloys using our current thermodynamic database: (a)
x= 0.1–0.8 and (b) x= 0.8–2.0.
T[K]
f(Bcc_A2)_1
f(Bcc_B2)
f(Fcc_A1)
f(σ)
f(Bcc_A2)_2
Fraction of Phases
700 800 900 1000 1100 1200
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Fig. 4. Equilibrium calculation of phase fraction as a function of
temperature for the Al
0.875
CoCrFeNi alloy using our current ther-
modynamic database.
C. Zhang, F. Zhang, Chen, and Cao842
decrease with the increasing of Cr concentration.
When the Cr ratio x= 2.0, no pure fcc phase region
can form within the Al
x
CoCr
2
FeNi alloys.
Isopleths with various ratios of Co, Fe, and Ni are
also calculated in order to fully understand the
effect of each element on the fcc/bcc phase transition
of the AlCoCrFeNi-based HEAs. Figure 7aisthe
vertical section of AlCrFeNi-AlCoxCrFeNi, Fig. 7bis
the vertical section of AlCoCrNi-AlCoCrFexNi, and
Fig. 7c is that for the AlCoCrFe-AlCoCrFeNix.Asis
seen from Fig. 7,theCo,Fe,andNiallactasfcc
stabilizers. On the other hand, it is hard to get an fcc
structure as the primary phase in all three vertical
sections. This is because high Al ratio (Al = 1) is used
in the calculation of these diagrams.
It should be pointed out that most of the HEAs
were prepared by arc melting and then drop casting,
which maintain the structure of the primary solid-
ified phase. However, if the alloy is annealed at an
elevated temperature for some time, a second or
even third phase may precipitate from the matrix
phase. The final structure of the alloy depends on
the alloy chemistry and heat treatment tempera-
ture. The phase stability at different temperatures
and compositions can be found from phase dia-
grams, such as those shown in Figs. 1,5, and 7.
Al ratio (x)
T[C]
(b) AlxCoCrFeNi
Liquid
L+fcc
L+bcc_B2
L+bcc_A2
L+bcc_A2+bcc_B2
bcc_A2+bcc_B2
fcc+bcc_A2+bcc_B2
fcc+
bcc_B2
L+fcc+
bcc_B2 L+fcc+bcc_A2
L+fcc+bcc_A2+bcc_B2
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
1000
1100
1200
1300
1400
1500
Al ratio (x)
T[C]
AlxCoCr0.5 FeNi
(a)
Liquid
L+bcc_B2
L+fcc
L+fcc_A2+bcc_B2
fcc_A2+bcc_B2
L+bcc_B2+bcc_A2
fcc+bcc_A2+
bcc_B2
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
1000
1100
1200
1300
1400
1500
1600
Al ratio (x)
T[C]
(c) AlxCoCr1.5FeNi
Liquid
L+bcc_A2
L+bcc_B2
L+bcc_A2+bcc_B2
L+fcc
+bcc_A2
bcc_A2+bcc_B2
L+fcc+bcc_A2+bcc_B2
fcc+bcc_A2+bcc_B2
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
1000
1100
1200
1300
1400
1500
Al ratio (x)
T[C]
(d) AlxCoCr2FeNi
Liquid
L+bcc_A2
L+bcc_B2
L+bcc_A2+bcc_B2
bcc_A2+bcc_B2
fcc+bcc_A2+bcc_B2
L+fcc+bcc_A2+bcc_B2
L+fcc+bcc_A2
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2
1000
1100
1200
1300
1400
1500
Fig. 5. The calculated isopleth of the Al
x
CoCr
y
FeNi alloys with x= 0.5–2, y= 0.5, 1.0, 1.5, and 2.0 using our current thermodynamic description.
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0
y=2.0
y=1.5
y=1.0
Al ratio (x)
bcc
bcc+fcc
fcc
AlxCoCryFeNi homogenized at 1100oC
y=0.5
Fig. 6. The calculated transition ranges of the Al
x
CoCr
y
FeNi alloys
homogenized at 1100C.
SUMMARY
HEAs based on the Al-Co-Cr-Fe-Ni system were
discussed in this study by the aid of thermodynamic
Computational Thermodynamics Aided High-Entropy Alloy Design 843
calculation. The thermodynamic database of this
system was developed, and phase diagrams and
solidification curves were calculated. The calculated
results explain the published experimental obser-
vations fairly well for both as-cast and homogenized
alloys. In particular, the following conclusions are
obtained:
Al is found to stabilize both the disordered bcc_A2
and ordered bcc_B2 structure, and the latter is
favored. To develop HEAs with a single fcc
structure, a very small Al ratio (x<0.3) should
be used.
Cr stabilizes the bcc_A2 structure and destabi-
lizes both bcc_B2 and fcc structures in the AlCo-
CrFeNi-based HEAs.
Co, Fe, and Ni are all fcc stabilizers, while the Al
ratio must be small in order to obtain pure fcc HEAs.
This work demonstrates that thermodynamic calcu-
lations may play a key role in aiding the effective
design of HEAs. These calculations can be used to
understand the effect of each element on the phase
stability and the fcc/bcc phase transition, and there-
fore, they provide us with useful guidelines in the
development of HEAs. It is understood that the HEA
structures can be controlled through adjusting the
ratios of one or more elements. The merit of the com-
putational approach is that virtual experiments can
be carried out easily for the multicomponent system
once the thermodynamic database is developed.
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Co ratio (x)
T[C]
Liquid
(a) AlCoxCrFeNi
L+bcc_A2
L+bcc_B2
L+bcc_A2+bcc_B2
bcc_A2+
bcc_B2
L+bcc_A2+bcc_B2+fcc
bcc_A2+bcc_B2+fcc
L+fcc
L+bcc_B2+fcc
bcc_B2+fcc
0 0.5 1 1.5 22.5 3
1000
1100
1200
1300
1400
Fe ratio (x)
T[C]
(b)
Liquid
L+bcc_B2
L+bcc_A2+
bcc_B2 L+bcc_A2
L+fcc
L+bcc_A2+fcc
bcc_A2+bcc_B2+fcc
L+bcc_A2+bcc_B2+fcc
AlCoCrFexNi
0 0.5 1 1.5 22.5 3
1100
1200
1300
1400
Ni ratio (x)
T[C]
Liquid
(c) AlCoCrFeNix
L+bcc_B2
L+bcc_A2+bcc_B2
bcc_A2+
bcc_B2
L+fcc
L+fcc+bcc_B2
fcc+bcc_B2
fcc+bcc_A2+bcc_B2
L+fcc+bcc_A2+bcc_B2
0 0.5 1 1.5 22.5 3
1000
1100
1200
1300
1400
Fig. 7. The calculated isopleths of the Al-Co-Cr-Fe-Ni alloys using
our current thermodynamic description with different Co, Fe, and Ni
ratios, respectively.
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Computational Thermodynamics Aided High-Entropy Alloy Design 845
... Thermo-Calc users run batch calculations for many varied parameters in a high-throughput manner. Many attempts have been made to develop thermodynamic modeling in a variety of different alloy systems using the high-throughput CALPHAD method, including phase diagrams and thermodynamic properties [90][91][92][93][94][95] . Due to the limitations of the empirical VEC rule in different HEA systems, Zhong et al. recently proposed a data screening procedure to develop new HEAs via a high-throughput CAL-PHAD approach (as shown in Fig. 7) 94 and found the relationship between phase formation behavior and VEC. ...
... Due to the limitations of the empirical VEC rule in different HEA systems, Zhong et al. recently proposed a data screening procedure to develop new HEAs via a high-throughput CAL-PHAD approach (as shown in Fig. 7) 94 and found the relationship between phase formation behavior and VEC. Additionally, Zhang et al. 90 reported a sufficiently large database of the Al-Co-Cr-Cu-Fe-Ni HEA system to calculate the primary solidification phase. Klaver et al. 93 used the Thermo-Calc to determine the phase evolution behavior of AlCrMnMoTi, AlCr-MoNbTiV, AlCrMnNbTiV, and AlCrFeTiV alloys at different temperatures and found that AlCrMnNbTiV and AlCrMoNbTiV were better HEA formers. ...
Article
Full-text available
High-entropy alloys (HEAs) have attracted extensive attention in recent decades due to their unique chemical, physical, and mechanical properties. An in-depth understanding of the structure–property relationship in HEAs is the key to the discovery and design of new compositions with desirable properties. Related to this, materials genome strategy has been increasingly used for discovering new HEAs with better performance. This review paper provides an overview of key advances in this fast-growing area, along with current challenges and potential opportunities for HEAs. We also discuss related topics, such as high-throughput preparation, characterization, and computation of HEAs, and data-driven machine learning for accelerating alloy development. Finally, future research directions and perspectives for the materials genome-assisted design of HEAs are proposed and discussed.
... The atomic deformation and displacement are easily found by a reliable model of MD simulation [63]. Mechanical and physical characteristics of the multi-component alloy are predicted through DFT calculations [64]. The distinction between thermal properties in LWHEAs is difficult to J o u r n a l P r e -p r o o f handle. ...
Article
Full-text available
Current advancements in technology enables the enhancement and refinement of alloys to address the demands of expanding industrial applications. High Entropy Alloys (HEAs) are a developing class of alloys displaying unique and advanced mechanical, tribological, thermal stability, and corrosion properties. HEAs have unpredictable structures and compositions displaying enhanced performance and characteristics. Unique microstructures can be achieved through multi-principal elements and HEAs usually outperform conventionally made alloys. Lightweight HEAs (LWHEAs) are a category of HEAs with alloy density less than 6 g/cm 3 and are potentially applicable in the automobile and aerospace industries. The superior characteristics make LWHEAs an extremely interesting space for research. Recent research has focused on effective manufacturing methods for processing alloys, coatings, and surface modifications. The current work discusses a comprehensive review of fabrication processes, mechanical, tribological, and corrosion behavior of LWHEAs. The review also highlights the future scope of research and directions for designing LWHEAs. The results of the article provide crucial information to researchers and pioneers exploring LWHEAs.
... These calculations are particularly challenging for HEAs, since a database including many elements and covering wide composition ranges is required for the proper modelling of such multi-component and multi-phase systems. Nevertheless, several successful examples of CAL-PHAD approach as a tool to accelerate design and characterization of new HEAs exist in the literature [23][24][25][26]. In this framework, a CALPHAD thermodynamic database named GHEA (Genova High-Entropy Alloys) is being developed at the University of Genova. ...
Article
Aiming to evaluate the effect of refractory metal additions to a quinary AlCoCrFeNi High-Entropy Alloy (HEA), three novel equimolar AlCoCrFeNi-X (X = Mo, Ta, W) HEAs were designed, arc-melted, annealed, and characterized by SEM-EDS, XRD and microhardness measurements. CALPHAD thermodynamic calculations were exploited to design compositions and thermal treatments of the selected HEAs as well as to predict constitution and interpret microstructure of the samples. On the other hand, the experimental results contributed to the validation of the in-house built GHEA thermodynamic database (including the Al, Co, Cr, Fe, Ni, Mo, Ta, W elements) used for the calculations. No TCP intermetallic was found to form in the quinary AlCoCrFeNi alloy. However, the formation of σ, Laves-C14 and μ phases was observed in the samples containing Mo, Ta, and W, respectively, in agreement with the most accepted VEC-based phases stabilization criteria. The addition of the refractory metals led to a microhardness increase for all the investigated alloys. Overall, good agreement was observed between experiments and calculations, especially for compositional trends and phase amounts, allowing the database validation and supporting its applicability to phase equilibria simulation in the six-component HEAs belonging to the Al-Co-Cr-Fe-Ni-X (X = Mo, Ta, W) systems.
... principles calculations, within the framework of densityfunctional theory combined with atomistic simulation techniques [11][12][13][14][15][16]; thermodynamics, based on extrapolation of experimental data, as in the CALPHAD [17][18][19]; semiempirical Miedema's model [20][21][22][23][24] and empirical thermophysical parameters [25][26][27][28][29][30][31][32][33][34][35][36]. ...
Article
Full-text available
The high-entropy lightweight alloys including Al, Mg, Li, Zn, Cu, Sn elements have been evaluated using thermodynamic approach in approximation of Miedema model. The compositions of solid solutions and intermetallic compounds with minimal Gibbs free energy were obtained. It is shown that the most stable alloys are non-equiatomic. Potential single-phase multicomponent solid solutions are determined and influence of various factors on its formation is described.
Article
High entropy alloys (HEAs) have revolutionized materials science in recent decades by introducing a novel approach to alloy fabrication, capable of yielding exceptional properties. These alloys, with compositions ranging from 5 to 35% in atomic ratio, have opened the door to creating remarkable material characteristics. HEAs acquire their remarkable characteristics through the organization of solid solutions, as opposed to simple compound structures. Although bulk casting techniques have been the common route to produce HEAs, delving into nanostructured iterations carries profound importance due to their extraordinary mechanical and physical properties. Among the array of methods available, solid-state milling stands out as the most efficient approach for crafting HEAs with a nanostructured configuration. In the journey for innovative materials, the effective combination of mechanical alloying (MA) and spark plasma sintering (SPS) stands out as the leading method, paving the way for the development of extensive nanocrystalline composites in the field of HEAs. Understanding the impact of each variable parameter during the MA process on the production of these alloys is crucial, even though certain properties have been investigated individually thus far. Therefore, in addition to an in-depth examination of the influence of various parameters during the MA process, this review has also delved into primary methods for phase prediction, SPS conditions optimization, and the investigation of properties of nanostructured HEAs. The resultant nanocrystalline HEAs exhibit great potential across a range of applications owing to their distinctive amalgamation of mechanical robustness, thermal resilience, and the possibility of novel properties.
Preprint
In this study, we introduce a groundbreaking framework for materials discovery, we efficiently navigate a vast phase space of material compositions by leveraging Batch Bayesian statistics in order to achieve specific performance objectives. This approach addresses the challenge of identifying optimal materials from an untenably large array of possibilities in a reasonable timeframe with high confidence. Crucially, our batchwise methods align seamlessly with existing material processing infrastructure for synthesizing and characterizing materials. By applying this framework to a specific high entropy alloy system, we demonstrate its versatility and robustness in optimizing properties like strain hardening, hardness, and strain rate sensitivity. The fact that the Bayesian model is adept in refining and expanding the property Pareto front highlights its broad applicability across various materials, including steels, shape memory alloys, ceramics, and composites. This study advances the field of materials science and sets a new benchmark for material discovery methodologies. By proving the effectiveness of Bayesian optimization, we showcase its potential to redefine the landscape of materials discovery.
Conference Paper
The atomic radii of the elements involved in the composition of metal alloys, especially high-entropy alloys (HEAs), change due to the specific local interaction between the atoms. This fact leads to an update in the atomic radii of the elements involved that depends on the alloy constituents. This update reflects a more realistic prediction of the alloy’s behavior. In this particular, one of the most widespread approaches in terms of HEAs design is the parametric one. Therefore, in this paper we calculate topological parameters of HEAs considering two conditions: (a) atomic radii as pure metals (without atomic radii modification); (b) atomic radii in the context of the designed alloys (with atomic radii modification). Both results are compared to analyze the impact of the radii update in the HEAs designed. The former is calculated via the software DIAMOY 2.0, and the latter is obtained via DIAMOY 3.0. When comparing the conditions before and after atomic radii modification, the results show that the topological parameters increased up to 330%, which turned the statuses of the parameters inadequate to form solid solution.
Article
CoCrFeNiAlx (x = 0.3, 0.6, 0.9 and 1.2, molar ratio) high-entropy alloys (HEAs) were prepared by directional solidification at the withdrawal rate of 70 µm/s and were simply referred to as Al0.3, Al0.6, Al0.9 and Al1.2 alloy, respectively. The effects of Al content on microstructure evolution, component segregation and compressive property of these alloys were investigated. The study revealed that increasing Al content induced a transition from face-centered cubic (FCC) to body-centered cubic (BCC) crystal structure. Simultaneously, the microstructure transformed from coarse irregular dendrites to equiaxed dendrites and the morphology of the solid-liquid interface changed from cellular dendrites to dendrites. Specifically, the Al0.3 alloy exhibited the single FCC phase, while the Al0.6 alloy consisted of dendritic FCC of phase CoCrFe-enriched and inter-dendritic BCC phase of AlNi-enriched. The Al0.9 and Al1.2 alloys showed AlNi-enriched precipitate B2 phase and CoCrFe-enriched matrix FCC phase. As the Al content increased, the CoCrFeNiAlx HEAs ultimate compressive strength initially increased and then decreased. The Al0.9 alloy achieved the supreme ultimate compressive strength of 2265.17 MPa, attributed to crystal structure transformation and solid solution strengthening. Additionally, the compressive strain consistently decreased with increasing Al content, reaching the minimum of 23.46% for the Al1.2 alloy.
Chapter
Volume 22B describes the methods, models, and tools used to simulate manufacturing processes and predict the microstructure and mechanical properties of metals and metal parts. It covers a wide range of processes from melting, casting, and solidification to heat treating, welding, and machining. It also addresses powder metallurgy, additive manufacturing, and diffusion coating as well as forming, bending, forging, and other deformation processes. In addition, the volume offers guidance on how to develop and assess input data for simulations, including thermophysical property data, grain-boundary data, flow stress and texture data, and 3D microstructure data. It also discusses the integration of modeling and simulation in design, particularly as it applies to design optimization, uncertainty, and error propagation. It includes a review of commercial tools and their application to industrial alloys. For information on the print version of Volume 22B, ISBN 978-1-61503-005-7, follow this link.
Article
The thermodynamic description of Mg–Al–Ca–Sn quaternary system in the Mg-rich region was developed on the basis of both our previous work and literature data on the key constituent ternaries, including Mg–Al–Ca, Mg–Al–Sn and Mg–Ca–Sn systems. Using this description coupled with the Scheil model, the solidification paths of Mg–Ca–Sn ternary alloys and Mg–Al–Ca–Sn quaternary alloys were calculated, which are in good accordance with the experimental results from directional solidification obtained by us.
Article
In this study, we investigate the microstructure, hardness, and corrosion properties of as-cast Al0.5CoCrFeNi alloy as well as Al0.5CoCrFeNi alloys aged at temperatures of 350 °C, 500 °C, 650 °C, 800 °C, and 950 °C for 24 h. The microstructures of the various specimens are investigated using X-ray diffraction (XRD), scanning electron microscopy (SEM), and electron probe X-ray microanalysis (EPMA). The results show that the microstructure of as-cast Al0.5CoCrFeNi comprises an FCC solid solution matrix and droplet-shaped phases (Al–Ni rich phases). At aging temperatures of between 350 and 950 °C, the alloy microstructure comprises an FCC + BCC solid solution with a matrix, droplet-shaped phases (Al–Ni rich phase), wall-shaped phases, and needle-shaped phases (Al–(Ni, Co, Cr, Fe) phase). The aging process induces a spinodal decomposition reaction which reduces the amount of the Al–Ni rich phase in the aged microstructure and increases the amount of the Al–(Ni, Co, Cr, Fe) phase. The hardness of the Al0.5CoCrFeNi alloy increases after aging. The optimal hardness is obtained at aging temperatures in the range 350–800 °C, and the hardening effect decreases at higher temperatures. Both the as-cast and aged specimens are considerably corroded when immersed in a 3.5% NaCl solution because of the segregation of the Al–Ni rich phase precipitate formed in the FCC matrix. Cl− ions preferentially attack the Al–Ni rich phase, which is a sensitive zone exhibiting an appreciable potential difference, with consequent galvanic action.
Article
Homogeneously spherical nanoprecipitates with a L12 ordered structure are observed in as-cast FCC Al0.3CoCrFeNi high entropy alloy, while their morphology changes to platelets after aging at 700 °C. The appearance of a yield drop and low work-hardening during tension reveals that these nanoprecipitates are coherent and have the characteristics of the Guinier–Preston zone. The 900 °C aged alloy displays micro-sized rod-shaped precipitates rich in Ni and Al instead of nanoprecipitates. There is no yield drop but high work-hardening occurs during tension. This rod-shaped phase has a B2 ordered structure and has the Kurdjumov–Sachs relationship with the FCC matrix.
Article
Two promising high-entropy alloys (HEAs) AlxCrFe1.5MnNi0.5 (x = 0.3 and 0.5) were designed from Al–Co–Cr–Cu–Fe–Ni alloys by substituting Mn for expensive Co and excluding Cu to avoid Cu segregation. Microstructures and properties were investigated and compared at different states: as-cast, as-homogenized, as-rolled and as-aged states. Al0.3CrFe1.5MnNi0.5 alloy in the as-cast, as-homogenized and as-rolled states has a dual-phase structure of BCC phase and FCC phase, in which Al, Ni-rich precipitates of B2-type BCC structure disperse in the BCC phase. Al0.5CrFe1.5MnNi0.5 alloy in the corresponding states has a matrix of BCC phase in which Cr-rich particles of BCC structure and Al, Ni-rich precipitates of B2-type BCC structure disperse. These three BCC phases have the same lattice constant.Both alloys are workable and show a hardness range of Hv 300–500 in the as-cast, as-forged, as-homogenized and as-rolled states. Al0.5CrFe1.5MnNi0.5 alloy has a higher hardness level than Al0.3CrFe1.5MnNi0.5 one because of its full BCC phase. Both alloys thus can be used as structural parts requiring stronger strength.Both alloys display a significant high-temperature age-hardening phenomenon. As-cast Al0.3CrFe1.5MnNi0.5 alloy can attain the highest hardness, Hv 850, at 600 °C for 100 h, and Al0.5CrFe1.5MnNi0.5 can get even higher hardness, Hv 890. The aging hardening is resulted from the formation of ρ phase (Cr5Fe6Mn8-like phase). Prior rolling on the alloys before aging could significantly enhance the age-hardening rate and hardness level due to introduced defects. Al0.5CrFe1.5MnNi0.5 alloy exhibits excellent oxidation resistance up to 800 °C, which is better than Al0.5CrFe1.5MnNi0.5 alloy. Combining this merit with its high softening resistance and wear resistance as compared to commercial alloys Al0.5CrFe1.5MnNi0.5 alloy has the potential for high-temperature structural applications.
Article
An AlCrFeCoNi high entropy alloy was prepared by vacuum arc melting. Only diffraction peak corresponding to a BCC crystal structure is observed for this AlCrFeCoNi high entropy alloy. The microstructure of this AlCrFeCoNi alloy is polygonal grains with intragranular dendritic segregation. Dendritic segregation area is found to be Al, Ni rich and Cr, Fe deplete, while interdendritic segregation area is Cr, Fe rich and Al, Ni deplete. The distribution of Co is essentially identical. The fine microstructure of dendritic segregation area and of interdendritic segregation area is found to be nanoscale spherical precipitates morphology and basket-weave morphology, respectively. Results of EDS attached on high resolution scanning electron microscope (SEM) revealed that these morphological characteristics are also resulted from elements segregation. This AlCrFeCoNi high entropy alloy exhibits excellent compressive properties. The yield stress, compressive strength and plastic strain of the alloy reaches 1250.96, 2004.23 MPa, and 32.7%, respectively. The fracture mechanism of this AlCrFeCoNi high entropy alloy is observed as cleavage fracture and slip separation.
Article
The microstructure and compressive properties of Alx(TiVCrMnFeCoNiCu)100−x (x = 0, 11.1, 20 and 40 at.%) high-entropy alloys were studied. With the increase of Al content, the number of phases in the alloys gradually decreases. When Al content is 20 at.%, only bcc solid-solution structure is found in the alloy. The effect of high mixing entropy does facilitate the formation of simple solid solutions, making the total number of phases well below the maximum equilibrium number allowed by the Gibbs phase rule. The solid-solution strengthening mechanism and the structure transformation from fcc to bcc make the alloys have fairly high compressive strength; among them the compressive strength of Al11.1(TiVCrMnFeCoNiCu)88.9 alloy reaches 2.431 GPa.
Article
The effect of adding 3at.% Cr on the phase stability of the Ni–Al–Ir system was studied experimentally at 1250°C. A thermodynamic description of the Ni–Al–Cr–Ir quaternary system in the Ni-rich region was then developed based on the microstructures, the crystal structures and the phase compositions determined by experiment for eight alloys in both as-cast and 1250°C annealed states. The calculated isothermal section at 1250°C using the obtained description was consistent with the phase-equilibrium data obtained in this study. The calculated two-dimensional section of liquidus projection was also in accordance with the primary phases of solidification observed from alloys in the as-cast state. The effects of Cr additions to the Ni–Al–Ir alloys on the as-cast and annealed microstructures were elucidated through Scheil simulation and phase-equilibrium calculation using Pandat.
Article
CoCrFeNiTiAlx (x: molar ratio) high-entropy alloys with different Al content were prepared by vacuum arc-melt casting and the as-synthesized alloys were subsequently heat treated at 1000 °C for 2 h. Effects of Al content and annealing treatment on phase composition and microstructure of these alloys were investigated by intensive characterization and analysis of the crystal structure, morphology and elemental segregation. Al addition promotes the formation of BCC structured phases in both as-cast and as-annealed alloys. The alloy without Al addition is mainly composed of face-centered cubic (FCC) solid-solution while the main phase transforms to stabilized (α-Fe,Cr)-based body-centered cubic (BCC) solid-solution as Al is introduced. Annealing demonstrates no obvious influence on the main phase and elemental segregation of CoCrFeNiTiAlx alloys except for alloys with low Al content (x = 0, 0.5 and 1.0) contain more intermetallic compounds after annealing. The phase formation rules of high-entropy alloys is explored in this study as the empirical formation rules of simple solid-solutions are proposed as: mixing entropy (∆Smix) ≥ 13.38 J/K·mol, −10 kJ/mol ≤ mixing enthalpy (∆Hmix) ≤ 5 kJ/mol and atom-size difference (δ) ≤ 4.