УДК 539.3
Мезомасштабная модель для прогнозирования водородного повреждения ГЦК-кристаллов
E. Ogosi1,2, A. Siddiq2, P. Christie2, U.B. Asim3, M.E. Kartal2
1 Нефтегазовая компания Apache North Sea Ltd., Абердин, AB15 8PU, Великобритания 2 Абердинский университет, Абердин, AB24 3FX, Великобритания 3 Техасский университет A&M, Колледж-Стейшен, Техас, 77843, США
С использованием метода конечных элементов в рамках физической теории пластичности изучено влияние различных видов напряженных состояний и ориентации кристаллов относительно направления нагружения на поведение ГЦК монокристаллов в среде с водородом и без него. Численное моделирование выполнено для различных условий трехосного нагружения, значений параметра Лоде, ори-ентаций кристаллов и концентраций водорода. Показано, что в зависимости от ориентации кристаллов водород оказывает различное влияние на пластическую деформацию и рост пор. Также ориентация кристаллов влияет на поведение водорода в распределении ловушек на разных стадиях деформации. В результате проведенного исследования получена аналитическая зависимость между нормализованным значением объемной доли пор и интенсивностью деформации.
Ключевые слова: физическая теория пластичности, ориентация кристаллов, водородное охрупчи-вание, рост пор, пластическая деформация
DOI 10.24412/1683-805X-2021-5-99-108
Mesoscale model for predicting hydrogen damage in face centred cubic crystals
E. Ogosi1,2, A. Siddiq2, P. Christie2, U.B. Asim3, and M.E. Kartal2
1 Apache North Sea, Prime Four Business Park Kingswells, Aberdeen, AB15 8PU, United Kingdom 2 School of Engineering, University of Aberdeen, Aberdeen, AB24 3FX, United Kingdom
3 Department of Materials Science and Engineering, Texas A&M University, College Station, Texas, 77843, USA
A study has been performed using a crystal plasticity based finite element method to understand the effect of various stress states and crystal orientations with respect to loading direction for FCC single crystals in both hydrogenated and nonhydrogenated environment. Simulations have been performed for a variety of stress triaxilaities, Lode parmeters, crystal orientations and hydrogen concentrations. It has been observed that crystal orientation has a varied effect on the influence of hydrogen on plastic deformation and void growth. Hydrogen in trap distribution at various stages of the deformation process was also found to be influenced by crystal orientation. From analyses performed, an analytical relationship between normalised void fraction and equivalent strain has been derived.
Keywords: crystal plasticity, crystal orientation, hydrogen embrittlement, void growth, plastic deformation
1. Introduction
The mechanical and corrosion resistant properties are known to be strongly dependent on the texture of the material [1]. Crystallographic orientation of steel has been found to affect hydrogen resistant properties [2, 3]. Hydrogen has a deleterious effect on steel and its effect have been subject to several studies and reviews [4, 5]. Specifically, experimental work has been performed on hydrogen embrittlement of aus© Ogosi E., Siddiq A., Christie P., Asim U.B., Kartal M.E., 2021
tenitic stainless steel [6, 7]. The hydrogen enhanced localized plasticity (HELP) theory explains how hydrogen alters dislocation interactions and influences material microstructure [5, 8]. In face centred cubic (FCC) metals, with relatively low hydrogen difussi-vity, this has been observed to lead to local dislocation pile ups [9, 10] and increased plastic flow properties [11]. Crystal orientation in relation to the rolling, normal and transverse directions have been
100 Ogosi E., Siddiq A., Christie P., Asim U.B., KartalM.E. / OusmecKan MesoMexanuKa 24 5 (2021) 99-108
found to influence material resistance to hydrogen induced cracking for both FCC and body centred cubic (BCC) crystal materials [12, 13]. Crystal orientation parallel to the normal direction was found to improve resistance to hydrogen induced cracking [12, 13]. Potirniche et al. [14] performed 2D finite element simulations using a crystal plasticity based model to understand the effects of crystal orientation and loading biaxiality on void characteristics. Results showed that crystal orientation had a significant effect on void growth. Asim et al. [15] observed that crystal orientation has an impact on the void growth and this effect reduces with increasing stress triaxia-lity. Michler and colleagues [16] found that austenite phase stability is not a guarantee that stainless steel is resistant to hydrogen embrittlement. Hua et al. found that hydrogen diffusion had a strong dependence on crystal orientation. Hydrogen mobility in 304 stainless steel crystal grains were found to be higher in (111) oriented grains when compared with (001) and (101) oriented grains [17]. Depending of crystal orientation, it was observed that hydrogen affected the plastic deformation differently [18]. Mesoscale modelling using crystal plasticity finite element methodology has been used for this study and other works [19, 20]. Alternative approaches to modelling hydrogen damage exist. Peridynamics is one such approach and has been used successfully in the study of material damage [21, 22]. The effects of crystal orientation on how hydrogen affects the properties of aus-tenitic stainless steels is investigated in this work. Simulations have been performed for a variety of stress triaxialities (0.8, 1.0, 1.5, 2.0, 3.0), Lode parameters (-1, 0, 1) and crystal orientations. This work builds on the findings from previous studies on hydrogen effects at different stress states [19, 20] and derives an analytical relationship between strain and void growth.
2. Crystal plasticity model with hydrogen effects
2.1. Crystal plasticity theory
A crystal plasticity theory [23, 24] has been extended to include hydrogen influence [20]. Deformation gradient is expressed as a product of elastic Fe, hydrogen Fh and plastic Fp components [25]:
F = Fe Fh F p.
(1)
Marin's formulation [23] with a hydrogen component is expressed as
V is elastic stretch and Re is rotation. The velocity gradient l in the final deformed state is given by
i = FF-1, (3)
F and F1 are the rate of change deformation gradient and its inverse. Velocity gradient L in an intermediate state with elastic stretch unloaded is given by
L = (V T1 lVe = (Ve)-1Ve + L*, (4)
(V e)-1 is the inverse of stretch,
L* = R e( Re)T + Re Lh{ Re)T + Re FhLp( Fh )-1( R e)T, (5)
Re is the rotation change rate, (Re)T is the transpose of Re. The plastic part of the velocity gradient Lp is given by
Lp = Ey asa® ma, (6)
"sa is the direction, and ma is the normal component. Combining (5) and (6):
N
Et as
L * = Q e +Lh
)m
(7)
a=1
Qe = R e( Re)T is elastic spin, ytt is the rate shear strain. Sofronis provides an expression for the hydrogen deformation gradient [26]:
(c - Cp)^
Fh =1 1-
(8)
c0 and c are initial and final hydrogen concentrations, X is AV/Vm, AV is volume change, and Vm is atomic volume. The hydrogen part of the velocity gradient L is
L = FFh • (Fh)-1 =1
3
3X
(c)CI. (9)
_ 3 + (c - c)_ The second Piola-Kirchhoff stress tensor S is
S = Ce: Ee, (10)
Ce and Ee are the elasticity and Green-Lagrange strain tensors. Deformation tensor splits into a symmetric D and skew W part:
F = VeF*, F* = ReFhFp,
(2)
D = (V e)TdVe = Ee
N
+ [sym(C eQe) +Et asym(Ce Z a)],
a=1
WW = (V e)T wVe = skew((V e)TV^e)
N
+ [skew(CeQQe) + E taskew((Ce^a)],
a=1
where CCe = ReCe(Re)T and Za = sa ® in a.
(11)
Plastic slip evolution is given as
Y = Y o
K„
signx
(13)
yh is strain rate in a, yh is the reference strain rate, < is the current crystal strength of a, Ta is resolved stress and m is rate sensitivity. The slip system hardens as follows:
k s =i
Ks ,S Ks <S _ K"
Ks,S = K
s ,S 0
ZI Y0
Y so
N
■ZIY 0I
,0 o=1
1/ m
(14)
Ks is the current hardening rate, h0 is a reference coefficient for hardening, k"^ is the saturation strength value, Xta is accumulated slip, k" (t=0)
a
is the critical resolved shear stress (CRSS) of each slip system, k"0, 0, yh0 and m' are other plastic property defining material parameters.
2.2. Incorporation of hydrogen effects
Oriani proposed that hydrogen in steel will either reside in normal interstitial lattice sites (NILS) or in traps [27]. It has been discussed that diffusion of hydrogen in austenitic stainless steel is relatively slow and as such the concentration of hydrogen at material points remains unchanged during deformation, although there is a transfer of hydrogen atoms from NILS to trap sites [20]. Evidence supporting the constant hydrogen theory has been presented by Sche-bler [28]. Discussion on the incorporation of hydrogen influence into the model have been discussed previously [19, 20] so only a summary is given here. We express the concentration of hydrogen Qbulk at a given material point as
Ci,bulk = CL + Ci,traps , (15)
CL is the concentration in NILS, and Ci, traps is the hydrogen in traps before deformation. Hydrogen in traps CT during deformation increases as there is a transfer from CL to traps:
CT =9T yNT, (16)
9T is hydrogen occupancy in traps, y is the number of sites per trap and NT represent the number of traps
per lattice site, NT is
NT =
V3
-ft
(17)
fcc
afcc is lattice parameter. Evolution of dislocation density p is
J p dt = J | yjdt, (18)
0 0 y is rate of change of strain, k1 is a measure of immobile dislocations, and -Jy is the average dislocation separation length as proposed by Estrin et al. [29]. Krom's formulation [30] is used to determine Ct:
Ct=2
N
KT
L ' Ctotal + Nt
y
N
v kt
L ^ Ctotal + Nt
" 4 Nt Ctotal
(19)
The terms Hi and Hf are used to capture the hydrogen effect as previously discussed [20]
Kh,0 =<0(1 + HiCinitial), (20)
kS'0 is crystal strength with no hydrogen, Cinitial is hydrogen traps before plastic deformation and defined as per Caskey's relationship [31]:
C
fcLe
18400
initial
RT
(21)
f is atoms per unit length of dislocation, 18 400 J/mol is bonding energy. Crystal strength evolution in (14) is altered to include hydrogen effect as follows:
ks =,
K s ,S Ks
N
- Z I Y01 (1 + HfCt). (22)
Stress triaxiality and Lode parameter are used to quantify stress states [32, 33] as previously discussed by the authors [15]. Lateral displacements are controlled using a multipoint constraint (MPC) subroutine in ABAQUS finite analysis software [34] to keep stress triaxialities and Lode parameter constant at each iteration of the simulations. The relationships in Sects. 2.1 and 2.2 are implemented in a user material subroutine (UMAT) and ABAQUS as discussed in the next section.
3. Methodology
A representative volume element (RVE) is constructed using reduced integrated elements and ana-
77
-^bottom
Fig. 1. RVE sample showing boundary conditions
lysed in ABAQUS finite element software [34]. Sample element with an embedded void is shown in Fig. 1 with boundary conditions. The embedded void represents a nucleated defect. The relationship between strain, stress, void growth, void size, stress triaxiality and crystal orientation have been covered previously [15, 35]. Only a summary is given here. Void growth is tracked by the term; normalised void fraction (NVF):
NVF = f, f = ^void.
fo VRVE
(23)
Initial void volume fraction f is given by (4/3)nr3/s3, where r is sphere radius, f is void volume fraction, s is side length, Vvoid is the void volume, and VRVE is the sum of solid material and void volume.
Loading is done by applying a positive displacement in the x direction and the sides of the RVE are constraint to remain straight. In Fig. 1, Ftop, Ffront, and Fleft are mobile while Fbottom, Fback and Fright are constrained to be fixed during displacement. Lateral displacement is adjusted to keep stress triaxilities constant by applying a multipoint constraint (MPC) subroutine. Using the technique discussed by Tekoglu [36], the stress triaxiality (X) and Lode parameter (L) is held constant by satisfying:
P11
J22
Pir
A
front
A
(24)
P33
J33
J22
P33
A
left
A
top
Current RVE volume is
VRVE = (s + ux Xs + uy Xs + uz ).
(25)
(26)
The value of each element Ve,i is stored and summed to obtain
Vs
N
solid = S Ve,i • i=1
(27)
Current value of void volume fraction f is then ob tained by
VRVE - V
f
_ RVE solid
V
(28)
RVE
top
Crystal orientation is represented using Euler angles and the Kock's convention is used. If we consider a crystal (small cube) shown in Fig. 2, y represents a rotational angle in the z-axis from the original position Z to a first intermediate position Z. 0 represents rotation and displacement in the y-axis from the first intermediate position Y to a second intermediate position (Y"). 9 represents rotation and displacement in the z-axis from the second intermediate position (Z") to the final position (Z"').
The crystal orientations with corresponding Euler angles considered in this work are shown in Table 1.
position
Fig. 2. Representation of crystal orientation in relation to a fixed global axis (color online)
4. Results and discussion
4.1. Effect of crystal orientation and hydrogen on equivalent stress
Equivalent stress and equivalent strain curves for different crystal orientations have been derived from RVE simulations as part of this work but have not been included for brevity. It has previously been shown that the presence of hydrogen shifts the graph upwards so that the stress value required to transist from elastic to plastic deformation increases [20]. A similar observation was made in this work and results were consistent for a range of stress triaxialities (0.8, 1.0, 1.5, 2.0 and 3.0), Lode parameters (-1, 0, 1) and crystal orientations (see Table 1) considered. Crystal orientation was observed to alter the slope of the
Table 1. Crystal orientations and Euler angles
Euler angles ¥ 0 9
Orientation 0 0° 0° 0°
Orientation A 5° 5° 5°
Orientation B 30° 30° 30°
Orientation C 45° 45° 30°
Orientation D 60° 60° 90°
Orientation E 75° 90° 120°
Orientation F 145° 120° 180°
elastic modulus for both hydrogenated and nonhy-drogenated samples. As explained in other works [19, 20], plastic work is expended primarily by dislocation activity so the presence of hydrogen also did not alter elastic modulus for various crystal orientations considered.
Fig. 3. Normalised void fraction for different initial crystal orientations: 0 (no hydrogen) (1), 0 (1% hydrogen) (2), A (no hydrogen) (3), A (1% hydrogen) (4), B (no hydrogen) (5), B (1% hydrogen) (6), C (no hydrogen) (7), C (1% hydrogen) (8), D (no hydrogen) (9), D (1% hydrogen) (10), E (no hydrogen) (11), E (1% hydrogen) (12), F (no hydrogen) (13), F (1% hydrogen) (14), viz. stress tri-axiality = 1, Lode parameter = -1 f0 = 0.001 and hydrogen content = 0.64% (color online)
4.2. Effect of crystal orientation and hydrogen on void growth
Figure 3 shows a variation in normalised void fraction with equivalent strain and its dependence on crystal orientations. The results presented are consistent with the observations reported by Asim et al. [15]. There is a shift in the graph to the left for hyd-
rogenated samples which indicates that hydrogen promotes void growth. This has been discussed by the authors elsewhere [19]. It is noted that the effect of hydrogen varied depending on the crystal orientation. This observation was consistent for a range of stress triaxialities (0.8, 1.0, 1.5, 2.0 and 3.0), Lode parameters (-1, 0, 1) and crystal orientations considered.
Fig. 4. Contour plots showing hydrogen in traps distribution for different crystal orientations, viz. stress triaxiality rameter = -1, f0 = 0.001 and hydrogen content is 0.64% (color online)
Fig. 5. Contour plots showing hydrogen in traps distribution for different crystal orientations, viz. stress triaxiality = 1, Lode parameter = -1, f0 = 0.001 and hydrogen content is 0.64% (color online)
4.3. Hydrogen in traps and slip activity for different crystal orientations
Contour plots showing slip activity for the various crystal orientations are presented in Figs. 4 and 5. There is evidence of a strong dependency of crystal orientation on the distribution of slip activity which tends to concentrate around the void. The highest intensity of slip activity was observed in initial crystal orientation C and the intensity in initial crystal orientations 0, A and B were lower than C to F. The evolution of crystal orientation for different stress triaxialities and crystal orientations have been studied previously. It was found that the magnitude and direction of crystal rotation was dependent on stress triaxialities and crystal orientations [15]. Results in this work are consistent with those findings.
4.4. Effect of crystal orientation on hydrogen in traps distribution
The distribution and magnitude of hydrogen in traps was also found to have a strong dependence on crystal orientation. Distribution followed the same pattern and intensity as slip activity. Hydrogen in traps was found to be highest in the immediate vicinity of the void as previously reported [19]. Crystal orientations 0, A and B showed a lower maximum value of hydrogen concentrated around the void relative to crystal orientations C, D, E and F. The difference in concentration of hydrogen in trap around the void may offer an explanation on the effect crystal orientation has on hydrogen influence on local plastic deformation in the area around the void and overall void growth. The relationship between hydrogen in trap concentration around the void and its influence
on void growth due to the effect of crystal orientation appears to be more complex. It is worthwile noting that the shape of the voids for the cases considered are varied and this may have an addition effect in void growth evolution if hydrogen influence is affected by void shape.
4.5. Proposed analytical relationship
Simulations performed have been used to derive an analytical relationship between equivalent strain and void growth evolution. An appropriate numerical expression such as linear, exponential, power law, polynomial, etc. was selected and used to fit the trend of experimentally simulated curves. Fitting was performed iteratively by selecting numbers that produce a close fitting to the experimentally simulated curves. This was done with the numerical computing software MATLAB. A coefficient of correlation value (or R-value) quantifies the fit of the curve and falls between 0 and 1. Fitted curves for normalised void fraction vs. equivalent strain for selected study cases returned R-values greater than 0.99 in all cases. Using the curve fitting process described, a numerical relationship below has been derived for estimating a spherical defect growth at different stress states in the presence of hydrogen
NVF = f (Eeq)
= [aE^q + 0.2P sin(cEeq)exp(-Eeq) +1], (29)
NVF is normalised void fraction and Eeq is equivalent strain, coefficients a, b and c are material constants which are functions of stress triaxiality and Lode parameter, p is a parameter that captures the effect of hydrogen on normalised void fraction and is directly proportional to hydrogen concentration. For a variety of stress triaxialities and Lode parameters considered, there was a close match between RVE simulations and results from the analytical model. This is evidence that the analytical model proposed can be used to predict the evolution of spherical defects for austenitic stainless steel crystals with or without exposure to hydrogen.
5. Conclusions
The effect of hydrogen influence on void growth in a single crystal of austenitic stainless steel has been studied using a crystal plasticity theory and an analytical formulation has been derived. The following conclusions have been drawn from this study.
Crystal orientation relative to applied displacement is found to affect the influence of hydrogen on
plastic deformation and void growth. This effect was found for a variety of stress triaxialities and Lode parameters considered.
The distribution and magnitude of hydrogen in traps, especially in the vicinity of the void, was also found to have a strong dependence on crystal orientation. The variation in hydrogen in trap distribution around the void provides evidence that there is an effect of intial crystal orientation on hydrogen influence on fracture processes.
The evolution of crystal orientation during plastic deformation is affected by the presence of hydrogen although there was no evidence that the general pattern of rotation is significantly affected.
An analytical relationship between equivalent strain and the fracture process of void growth influenced by stress triaxialities, Lode parameter and crystal orientation is presented. This relationship will be useful for engineers or material scientists that wish to estimate how defects can evolve in austenitic stainless steel crystals subject to various service loads.
6. Future challenges and opportunities
The use of mesoscale models to predict material performance provide the advantage of replicating experimental and real life conditions. These models can be useful in predicting hydrogen damage, which is a complex phenomena [37]. For metals with a FCC crystal structure, it has been explained that bulk hydrogen transport is limited due to the slow diffusive properties of hydrogen in austenite. For these materials, the interaction of hydrogen with microstructural features and the effects on the material properties is more relevant. A predictive framework based on finite element methods which incorporates the effects of stress states and crystal orientations for metals with FCC crystal structure will be of practical use to engineers. Suggestion for future work and areas of improvements are as follows.
Hydrogen influence is believed to be linked to activation of individual slip systems which occur differently depending on crystal orientation. This will have relevance in understanding why certain orientations favour a higher hydrogen influence on mechanical properties compared with others and should be investigated.
A study into the effects of hydrogen on FCC polycrystals with consideration of grain boundaries and the interaction of differently oriented crystals will be beneficial.
Acknowledgments
This contribution is dedicated to Professor Siegfried Schmauder on the occasion of his 65th birthday. I have spent many happy hours under his supervision
and in collaboration with Professor Schmauder, and it has been highly productive, educational, rewarding and enjoyable to do so. Always thankful to his continued guidance and support.
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Received 15.05.2021, revised 19.07.2021, accepted 19.07.2021
Сведения об авторах
Eugene Ogosi, Dr., Post Graduate Researcher, University of Aberdeen, UK, [email protected]
Amir Siddiq, Dr., Senior Lecturer, University of Aberdeen, UK, [email protected]
Peter Christie, Mr., Post Graduate Researcher, University of Aberdeen, UK, [email protected]
Umair Bin Asim, Dr., Post Graduate Researcher, Texas A&M University, College Station, USA, [email protected]
Mehmet E. Kartal, Dr., Senior Lecturer, University of Aberdeen, UK, [email protected]