Investigation of fracture of inhomogeneous cast iron specimens/Nevienalyciu ketaus bandiniu irimo tyrimas.
Stupak, E.
1. Introduction
A major part of fracture mechanics problems [14] is related to
stress strain fields in the vicinity of discontinuities, cracks,
defects, etc. The main methods and techniques are analytical solutions,
experimental and numerical.
The analytical models available in the literature allow predicting
the stress-strain distribution either within or outside the
inhomogeneity and for the further research of the problem. But it is
better to use some numerical techniques, because an analytical solutions
were obtained generally for simple geometries, e.g. ellipsoidal,
cylindrical and spherical voids (cracks) in an infinite domain.
Among the numerical methods the most usually used is the finite
element method (FEM). However, it was investigated and shown earlier
that it is also necessary to assess the quality of the computed results,
which depends on the FE mesh [5] and the assumptions about the
stress-strain state [6].
The aim of this paper is the application of FE analysis technique
for solving elastic-plastic problem of compact tension (CT) specimen of
austempered cast iron. In the previous works [7-9] the analytical and
experimental techniques have been described and results of solved
elastic problems were discussed.
Murakami [10, 11] investigated interaction effects between small
defects and cavities and proposed the simple prediction equation for
fatigue limit, which is based on the square root of the equivalent
projected area onto the principal stress plane of the defect. Costa et
al. [12] proposed an improved technique for fatigue limit of nodular
cast irons taking into account the size and positions of graphite
nodules.
In the FEM solutions it is possible to account the inhomogeneities,
but the solution scale is large since both the matrix and every
inhomogeneity should be discretized. In future one may try to compare
the obtained results with the results obtained using other techniques,
actually boundary element method (BEM), discrete element method (DEM),
etc.
In recent years in Lithuania many investigations were devoted for
the analysis of different mechanical structures acted of high cycle or
low cycle fatigue loading. Stonkus et al. [13] investigated using
experiments the welded joints in the high cyclic loading, where the
influence of different materials properties in the weld and main
material junction (interaction) layer on cracking threshold were
analysed.
Jakusovas and Daunys [14] investigated crack opening in the low
cycle fatigue case using analytical, experimental and FEM techniques,
where the influence of specimen size on crack tip opening displacement
contour curve has been taken into consideration.
This paper is organized as follows: problem formulation,
description of proposed technique for the calculation of J-integral in
the vicinity of straight and piecewise linear straight crack front,
analysis of obtained numerical results, conclusions and discussion.
2. Problem formulation
The analysis of a CT specimen produced of austempered cast iron,
see Fig. 1 (thickness B = 25 mm), with an initiated defect and void
placed in the different crack front positions is considered below. The
size and position of the void has been changed during the
investigations.
The external loading F is assumed to be 3.0 kN.
[FIGURE 1 OMITTED]
After analyzing the fracture of the CT specimen of cast iron [8],
the size and position of the defect in the specimen cross-section, an
assumption was made that total dimensions of the defect on fracture
surface do not exceed 10x6 mm and the distance to the notch tip is 10
mm. The crack-like defect had been initiated at the model having a
rectangle shape as presented in Fig. 1. Few typical crack length values
(a = 18.8, 19.8, 22.8, 25.8 mm and a > 25.8 mm, when the additional
void is placed) were chosen alongside a few reference points (A, B, C
and D) where stress intensity factor (SIF) was supposed to be
indicative.
The behaviour of the specimen's matrix material is assumed to
be elastic-plastic. The linear elastic part of the matrix material
diagram is characterized by the elasticity modulus [E.sub.1] = 175 GPa,
ratio [[sigma].sub.01]/[E.sub.1] = 0.00171 and Poisson's ratio
[v.sub.1] = 0.275. Behaviour of the material above the yielding limit
[sigma]> [[sigma].sub.01] = 300 MPa is taken as elastic-perfectly
plastic.
The behaviour of the specimen's inclusions or voids material
(graphite) is assumed to be elastic, characterized by the elasticity
modulus [E.sub.2] = 27 GPa and Poisson's ratio [v.sub.2] = 0.275.
3. Technique for J-integral calculation
A novelty technique of path independent J integral calculation in
piece-wise linear crack front is proposed. Two different J integrals can
be calculated as surface integrals along contours around: 1) crack tip
(line 1-2, [J.sub.1] integral path) or 2) defect tip (line 3-4,
[J.sub.2] integral path) as shown in Fig. 2. J integral derives from an
energy potential. It was considered the J integral along a contour
linked to the crack or defect tip which extends by an infinitesimal
distance da and which takes the contour with it. It was considered the
expression of the J integral [3]
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1)
where [GAMMA] any path surrounding the crack tip, W is strain
energy density (that is, strain energy per unit volume), [T.sub.i] is
traction vector, u is displacement vector, ds is distance along the path
[GAMMA].
[FIGURE 2 OMITTED]
During numerical investigations it is better to use the full
expression of Eq. (1) [16]
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (2)
where [T.sub.x], [T.sub.v] are traction vectors along x and y axes
respectively ([T.sub.x] = [[sigma].sub.x][n.sub.x] +
[[sigma].sub.xy][n.sub.y], [T.sub.y] = [[sigma].sub.y][n.sub.y] +
[[sigma].sub.xy][n.sub.x], [sigma] is component stress, n is unit outer
normal vector to path [GAMMA].
Partition of J into elastic and plastic component can be done
J = [J.sub.el] + [J.sub.pl] (3)
where [J.sub.el] is elastic, [J.sub.pl] is plastic part of J
integral.
4. Numerical results
ANSYS [15, 16] simulation for a defective model was performed to
evaluate the defect and void influence on stress intensity factor and
stress-strain state. The FE mesh had been generated using triangular and
quadrilateral elements in plane. After they were modified to 3D brick
elements, using layers technique. FE mesh used for stress intensity
factor calculation, having 25 elements layers through thickness of
specimens, is presented in Fig. 3. Only a half of the specimen was
investigated using the advantages of symmetry. Less important model
volume which is far from the crack tip is meshed with triangle prismatic
shape finite elements (56420 nodes, 77170 FE). This helps to thoroughly
analyze the stress intensity factor distribution along the crack front
and in the vicinity of the defect. FE mesh in the small depth voids
volume is finer and had different material properties than others
elements.
[FIGURE 3 OMITTED]
The numerical accuracy is better the more contour is distant from
the crack tip. One must verify that the derived value of J is
independent of the considered path. Crack extension da has been selected
as 1 % of initial crack length a. In order to minimize computational
costs and taking into account symmetry only half of specimen was
investigated, so the result of J integral, obtained by Eq. (2) and/or
Eq. (3) must be multiplied by 2.
The distributions of principal stresses in the vicinity of crack
and defect tip are illustrated in Fig. 4. Simulation of possible fatigue
crack propagation has been done using node releasing technique, which is
used instead of remeshing technique. The aim was to determine maximum
stress intensity factor (SIF) in the CT specimen. As soon as each
elements layer is rather thin, so SIF can be estimated according plane
stress assumption using the next formula
K = [square root of (J [E.sub.1])] (4)
where [E.sub.1] is modulus of elasticity of matrix material.
SIF values, obtained using Eq. (4), versus accumulated crack length
a are presented in Fig. 5.
[FIGURE 4 OMITTED]
[FIGURE 5 OMITTED]
The obtained results illustrate SIF changing, when crack length a
increased during many numerical tests. Crack length was determined in
the all layers through the FE model thickness and then averaged. Taking
into account such considerations the different results of K for the
different crack fronts with the same averaged crack length a were
obtained.
Fig. 5 is separated into 2 parts: 1) when crack length a < 25.8
mm only homogeneous matrix material has been taken in the investigation;
2) when crack length a > 25.8 mm some additional graphite void is
placed. These models were entitled from void 1 till void 7 and obtained
results are presented in the Table.
Void 1 means the defected model (without graphite voids) and was
selected for the purpose of comparison. Void 2 is the case with graphite
voids close to each other and interacted, so their effective area
[A.sub.eff], proposed by Murakami [11], was selected as [congruent to]10
% of defect area. Void 3 till void 7 have the same [A.sub.eff] equal to
[congruent to]23 % of defect area, but with the different piece-wise
linear crack front through the specimen thickness.
Influence of the voids on SIF it is clear from the 5th column,
[K.sub.max] increases by 15 % from 7.41 MPa [m.sup.1/2] till 8.74 MPa
[m.sup.1/2]. The ratio between plastic component [J.sub.pl] of
J-integral with result of J-integral increase from 17.7 % till 35.5 %,
which explain the J-dominance against K-dominance in the vicinity of
crack (void) tip in the elastic-plastic fracture mechanics.
An analysis of SIF distribution through the thickness of the
specimen is one of the advantages in 3D FEM analysis. It allows to
investigate the influence of any separate void (or even micro-void if
the model allows it) on SIF in any part of the specimen in the vicinity
of the crack, defect, void, etc. The obtained results of SIF versus
specimen thickness B are presented in Fig. 6, where only cases of void
1, 2, 5, 7 with increasing [K.sub.max] in the point B (see Fig. 1) are
selected for the illustration of results. Maximum value at the defect
right point A (distance t = B) [K.sub.max,A] = 5.97 MPa [m.sup.1/2] in
the void 7 model. Maximum value at the specimen center point C -
[K.sub.max,C] = 6.15 MPa [m.sup.1/2] in the void 7 model, while at the
left specimen edge point D - [K.sub.max,D] = 5.77 MPa [m.sup.1/2] in the
void 2 model.
[FIGURE 6 OMITTED]
Some attention must be paid for the zone close to the left specimen
edge (distance t = 0.1 B), where crack length was increased due to the
void and the maximum [K.sub.max,E] = 8.26 MPa [m.sup.1/2] is only 5.5 %
smaller than [K.sub.max] = 8.74 MPa [m.sup.1/2]. These detailed
investigations had proved once more, that voids must be taken into
account, especially if their effective area [A.sub.eff] is > than
2.5% of the area of fractured surface.
If the influence of softer material is bigger than in the solved
problem one must try to substitute the reduced modulus of elasticity
into Eq. (4) instead of [E.sub.1]. And this is the main advantage of
proposed technique in the comparison to other research techniques [11,
12] or standard requirements of ANSYS [16], where material should be
homogeneous in the vicinity of the crack.
Graphite is rather soft in comparison with matrix material, so the
microcracks will initiate in the matrix connected to graphite. Stress
concentration between softer graphite and surface of matrix material
will cause plastic strains, after that matrix material fractures.
Different material properties will cause so called material mismatching,
also the plastic strain mismatch between elastic-perfectly plastic
matrix material and elastic graphite material.
During numerical nonlinear analysis plastic values in all the
points with different results are averaged in order to satisfy the
strain compatibility requirement between elements. Such inequality must
be satisfied
[[epsilon].sup.*.sub.pl,inh] < [[epsilons].sub.pl,hom] (5)
where [[epsilon].sup.*.sub.pl,inh] is averaged plastic strain for
inhomogeneous material, [[epsilon].sub.pl,inh] is plastic strain for
homogeneous material.
This inequality can be transformed into relationship taking into
account so called stress triaxiality ratio [k.sub.ST]
[[epsilon].sup.*.sub.pl,inh] [congruent to] [k.sub.ST] *
[[epsilon].sub.pl,hom] (6)
[k.sub.ST] = [[sigma].sub.m]/[sigma].sub.eqv] (7)
where [[sigma].sub.m] is mean stress or hydrostatic pressure,
[[sigma].sub.eqv] is equivalent (von Mises) stress.
Failure of ductile materials is often related to coalescence of
microscopic voids. The stress triaxiality is one of the primary factors
that influence the coalescence [17, 18].
Contours of equivalent plastic strains for some selected cases
(void 5 and void 7) are presented in Fig. 7, while results are
summarised in the 7-9 columns of Table.
[FIGURE 7 OMITTED]
After performed analysis it can be concluded, that increased stress
triaxiality increases the equivalent plastic strains of inhomogeneous
material, which maximum value 0.00190 rates to 72 % of total strain
equal to 0.00263.
5. Discussion and conclusions
The results of the simulation of inhomogeneous cast iron CT
specimen may be summarised as follows:
1. The proposed technique of J-integral calculation allows
determination of SIF values through the thickness of the CT specimen
with defect and voids and piecewise linear fatigue crack front.
2. The investigation of graphite voids influence on SIF showed
increasing by 15 % from 7.41 MPa [m.sup.1/2] (in the specimen without
voids) till 8.74 MPa [m.sup.1/2] (including voids--void 7 case).
3. Plastic strains in the inhomogeneous specimen were determined
using stress triaxiality ratio.
Received November 18, 2009 Accepted January 29, 2010
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E. Stupak
Vilnius Gediminas Technical University, Sauletekio al. 11, 10223
Vilnius-40, Lithuania,
E-mail: Eugenius.Stupak@fm.vgtu.lt
Table
Summary of main results of investigation
Averaged
Void effective crack
area [A.sub.eff], length a, Ratio [K.sub.max],
No. [mm.sup.2] mm a/W MPa [m.sup.1/2]
1 2 3 4 5
void 1. 0 25.8 0.516 7.41
void 2. 6.1 26.8 0.537 7.87
void 3. 13.6 29.3 0.587 7.74
void 4. 13.6 29.6 0.591 7.76
void 5. 13.6 30.8 0.617 8.65
void 6. 13.6 31.0 0.619 8.73
void 7. 13.6 31.1 0.622 8.74
Stress
[J.sub.pl]/J, triaxiality Homogeneous
No. % [k.sub.ST] [[epsilon].sub.pl,hom]
1 6 7 8
void 1. -- -- --
void 2. -- -- --
void 3. -- -- --
void 4. 17.7 0.84 0.00169
void 5. 33.9 0.85 0.00210
void 6. 35.0 0.88 0.00219
void 7. 35.5 0.88 0.00219
Inhomogeneous
No. [[epsilon].sup.*.sub.pl,inh]
1 9
void 1. --
void 2. --
void 3. --
void 4. 0.00162
void 5. 0.00180
void 6. 0.00190
void 7. 0.00190