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Journal of Materials Processing Technology 212 (2012) 15731590
Contents lists available at SciVerse ScienceDirect
Journal ofMaterials Processing Technology
journal homepage: www.elsevier .com/ locate / jmatprotec
Mechanics offracture in single point incremental forming
Rajiv Malhotra, Liang Xue, Ted Belytschko, Jian Cao
Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
a r t i c l e i n f o
Article history:
Received 8 September 2011
Received in revised form 1 February 2012
Accepted 29 February 2012
Available online 12 March 2012
Keywords:
SPIF
Fracture
Material instability
a b s t r a c t
Single point incremental forming (SPIF) is a sheet metal forming technique which has gained considerable
interest in the research community due to its enhanced formability, greater process flexibility and reduced
forming forces. However, a significant impediment in the industrial adoption ofthis process is the accurate
prediction of fracture during the forming process. This work uses a recently developed fracture modelcombined with finite element analyses to predict the occurrence offracture in SPIF oftwo shapes, a cone
and a funnel. Experiments are performed to validate predictions from FEA in terms of forming forces,
thinning and fracture depths. In addition to showing excellent predictions, the primary deformation
mechanism in SPIF is compared to that in conventional forming process with a larger geometry-specific
punch, using the deformation history obtained from FEA. It is found that both through-the-thickness shear
and local bending ofthe sheet around the tool play a role in fracture in the SPIF process. Additionally, it is
shown that in-spite ofhigher shear in SPIF, which should have a retarding effect on damage accumulation,
high local bending of the sheet around the SPIF tool causes greater damage accumulation in SPIF than
in conventional forming. Analysis of material instability shows that the higher rate of damage causes
earlier growth of material instability in SPIF. A new theory, named the noodle theory, is proposed to
show that the local nature ofdeformation is primarily responsible for increased formability observed in
SPIF, in-spite ofgreater damage accumulation as compared to conventional forming.
2012 Elsevier B.V. All rights reserved.
1. Introduction
In single point incremental forming (SPIF) a peripherally
clampedsheetis imparteda desired shape bymovinga singlehemi-
spherical ended tool along a desired profile so as to locally deform
the sheet along this path (Fig. 1). The sum total of these local defor-
mationsgives thesheet itsfinal shape. Significant advantages of this
process over conventional forming include greater formability, low
forming forces and generic tooling configuration. One of the major
research problems of considerable interest to the sheetmetal form-
ing community is the accurate prediction of fracture in SPIF. This
is important because an underestimation of the fracture depth will
result in a loss of theadvantage of enhanced formability of the pro-
cess and an overestimation will cause component failure duringthe forming process itself. Furthermore, a better physical under-
standing of the mechanisms of deformation and fracture in SPIF
is of great importance since this can aid the choice of appropriate
process parameters for the process and can lead to modifications
of the process to further enhance the achievable formability.
Early work in SPIF (Jeswiet et al., 2005) indicated that the maxi-
mum formable wall angle could be a good indicator for material
Corresponding author. Tel.: +1 847 467 1032.E-mail address:[email protected] (J. Cao).
formability in SPIF. More recently, Hussain et al. (2007) formed
axisymmetric funnel shapes in which the profiles of the compo-
nents were arcs of different radii of curvature and showed that
the maximum formable wall angle depended on the radius of the
curvature of the funnel components profile. This indicates that
formabilityin SPIF depends on a combination of theglobal shape of
the component and the process parameters, and therefore essen-
tially on the deformation mechanics of the process. Filice et al.
(2006) explored the possibility of detecting fracture in real time
based on the trend of the forming force. Szekeres et al. (2007)
showed that while the force trend methodology for detecting fail-
ure can be used for a cone shape, it does not work for a pyramid
shape. This observation again highlights the fact that occurrence
of failure in SPIF depends significantly on the process mechanicsitself.
Attempts have also been made to use the concept of conven-
tional forming limit curves (FLCs) to characterize formability limits
in SPIF. Filice et al. (2002) demonstrated that the failure strain in
SPIF significantly exceeds that in conventional forming. Hussain
et al.(2009) derived empiricalforming limit diagrams(FLDs) which
used the reduction in cross sectional area at tensile failure as a
means of predicting failure in SPIF. However, they stated that their
empirically derived FLD depended on the process mechanics itself
and was only valid within the range of the tool diameters, incre-
mental depths and feed rates used in their work. At the same time
0924-0136/$ seefrontmatter 2012 Elsevier B.V. All rights reserved.
doi:10.1016/j.jmatprotec.2012.02.021
http://localhost/var/www/apps/conversion/tmp/scratch_5/dx.doi.org/10.1016/j.jmatprotec.2012.02.021http://localhost/var/www/apps/conversion/tmp/scratch_5/dx.doi.org/10.1016/j.jmatprotec.2012.02.021http://www.sciencedirect.com/science/journal/09240136http://www.elsevier.com/locate/jmatprotecmailto:[email protected]://localhost/var/www/apps/conversion/tmp/scratch_5/dx.doi.org/10.1016/j.jmatprotec.2012.02.021http://localhost/var/www/apps/conversion/tmp/scratch_5/dx.doi.org/10.1016/j.jmatprotec.2012.02.021mailto:[email protected]://www.elsevier.com/locate/jmatprotechttp://www.sciencedirect.com/science/journal/09240136http://localhost/var/www/apps/conversion/tmp/scratch_5/dx.doi.org/10.1016/j.jmatprotec.2012.02.021 -
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1574 R. Malhotra et al. / Journal of MaterialsProcessing Technology212 (2012) 15731590
Fig. 1. Schematic of SPIF (dotted lines show motion of tool in theprofile view).
Emmens and van den Boogaard (2009) showed that FLCs have cer-
tain drawbacks when it comes to predicting failure in SPIF. It is
known that FLCs are not valid when there is bending and through-
the-thickness shear,bothof whichare significant in SPIF. As a result
modifications of conventional FLCs by incorporating the effects of
changing strain paths (Yao and Cao, 2002) and the effects of large
normal contact pressures (Smith et al., 2003) would still not be
able to predict failure in SPIF accurately. Therefore, the predictionof formability in SPIF with conventional FLCs might notbe feasible.
Numerical investigations usingFEA havealso been conducted to
investigate the deformation force and mechanisms in SPIF. Henrard
et al. (2007) modeled the contact between the tool and the sheet
using a moving spherical tool method, in which a dynamic explicit
time integration scheme was used instead of the usual penalty
based contact algorithm. The main improvement was that a bet-
ter force prediction was obtained using their methodology even
though computational time was reduced by using a larger ele-
ment size. Cerro et al. (2006) simulated SPIF of a pyramid with a
75 wall angle with shell elements and obtained a 5% differencebetween the maximum values of the measured and calculated tool
z forces. However, no attempt was made to predict fracture. van
Bael et al. (2007) extended a Marciniak-Kuczyisnki analysis (M-K analysis) to predict localized necking and fracture in SPIF. They
showed that while the forming limit predictions were higher than
that for monotonic loading, their models still underestimated the
forming limits obtained experimentallyin SPIF.This was attributed
to the fact that the input for the M-K model was obtained at a
pre-determined location through the thickness of the sheet which
meant that interaction between different layers of the sheet was
not considered. Huang et al. (2008) used Oyanes fracture criterion,
an empirical fracture criterion, to predict failure during forming of
a conical cup using SPIF. The model was found to capture forming
limits in SPIF reasonably well, however, the predictions of forming
forces were not satisfactory. Silva et al. (2009) extended a mem-
brane analysis of SPIF to incorporate a damage model in which
damage accumulation depended on hydrostatic stress and showedthat such an approach could be used to predict fracture strains in
SPIF. Malhotraet al. (2010a)investigatedthe use of various material
models and element types to simulate SPIF using FEA and showed
that a fracture model considering triaxility and shear as presented
in Xue (2007a,b) can predict forming forces and fracture occur-
rence muchbetter thanother common materialmodels. The results
were promising and have led to the further investigations on the
mechanicsof fracture in SPIF, whichwillbe presentedin this paper.
While predicting forming force and failure limits in SPIF is
important, a more interesting challenge is to understand why SPIF
results in a much higher formability compared to the conventional
forming process. Emmens et al. (2009) proposed that while bend-
ing, shear, cyclic straining and hydrostatic stress are the dominant
deformation mechanisms in SPIF, pinpointing which factors are
primarily responsible for failure is difficult. Jackson and Allwood
(2009) showed experimentally that deformation in SPIF consists
primarily of stretching perpendicular to the toolpath and through-
the-thickness shear perpendicular to and along the directionof the
toolpath. They also showed that shear increased with the depth of
deformation, was greater on the inner side of the sheet and was
greater along the direction of toolpath motion than in the direc-
tion perpendicular to the toolpath motion. They observed that asthe component was formed the structure became stiffer and the
deformation transitioned from a more widely distributed area to
being concentrated into a local area around the tool contact zone.
In addition, they mentioned that unusual choice of material, sheet
thickness and wall angle used in the present experiments probably
caused strains thathave somedifferences to moretypicalISF exper-
iments which use thinner sheets and steeper wall angles. Allwood
et al. (2007) also showed experimentally that significant through-
the-thickness shear is present in SPIF, by tracing thehistory of a pin
inserted perpendicularly into the blank during deformation of the
blank. A valuable workwith reference to the mechanisms responsi-
blefor increasedformabilityin SPIF was performed by Allwood and
Shouler (2009) in which the M-K analysis was extended so that all
six components of the stress tensor were non-zero. This representsthe typical state of deformation in SPIF. This work provided sig-
nificant circumstantial evidence that through-the-thickness shear
might play a significant role in fracture in SPIF.
The current workgoes beyond the previous discussions focusing
on whether hydrostatic pressure or through-the-thickness shear
contributes to the significant increase of forming limit in SPIF.
Instead, we uncover the unique role thatmateriallocalizationplays
in SPIF. The approach is to use a fracture model in FEA to analyze
the mechanics of deformation in the SPIF of a 70 wall angle coneand a funnel shape. The experimental setup is shown in Section
2. The material model is briefly described in Section 3, in which
the fracture envelope is expressedin the stress space and is a func-
tion of thehydrostatic pressure andthe deviatoric stress state (Xue,
2007a). More recently, it has been shown (Xue, 2007b) that onlystress triaxiality effects cannot explain the phenomenon of frac-
tureinshearandthematerialmodelusedinthisworkcombinesthe
effects of plastic strain, hydrostatic pressure and shear on fracture.
Therefore, this model is ideal for examining the combined effects
of stretching along the component wall and local bending around
the tool (indicated by the hydrostatic pressure and plastic strain)
and through-the-thickness shear (indicated by the Lode angle).
Note that stretching, bending and shear are among the deforma-
tion mechanisms said to very dominant in SPIF (Emmens et al.,
2009). Corresponding experiments are performed to compare the
forming force history and fracture location predictions from FEA.
The mechanics of SPIF are then analyzed in-depth in Section 4 by
examining the deformation history through the thickness of the
sheet at four locations along the formed component wall and the
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R.Malhotra et al. / Journal of Materials Processing Technology212 (2012) 15731590 1575
Fig. 2. Profiles of (a)70 cone (b)funnel formedas part of experiments.
primary deformation mechanisms which affect failure in SPIF are
found. Contributions from hydrostatic pressure and through-the-
thickness shear to fracture are quantified. In Section 5 additional
simulations are performed with a reduced tool-sheet friction coef-
ficient to examine the effect that through-the-thickness shear has
on formability in SPIF.Furthermore, to better understand thefailure
mechanism, simulations are also performed using the same mate-
rial model for forming of the 70cone with a conventional forming
process using a larger punch. The deformation mechanisms andthe occurrence of material localization in the larger punch case are
compared to those in the SPIF case in Section 6. Motivated by the
results from these two cases,a newnoodle theoryis proposed here
to explain the essence of enhanced formability seen in SPIF. Finally,
inferences on the nature of fracture in SPIF are discussed in Section
7 followed by conclusions in Section 8.
2. Experimental setup of forming a cone and a funnel using
SPIF
Two shapes, a 70 wall angle cone and a variable angle funnel(Fig. 2) were formed using 1 mm thick AL5052 sheet, with a tool
diameter of 9.5 mm and feed rate of 150 mm/min. The blank size
available for forming inside the clamp was 80mm80mm squarefor the cone and an 80mm diameter circular area for the funnel
case. No tool rotation was allowed and PTFE based grease was used
as lubricant at the toolsheet interface. The incremental depths
used for the cone and the funnel were 1.0 mm and 0.5 mm respec-
tively. A spiral toolpath was used in which the tool followed the
three dimensional profile of the shape to be formed while moving
simultaneously in thex,y andzdirections (Malhotra et al., 2010b).
The z forces on the tool throughout the forming process were
measured using a Kistler dynamometer model 9255A mounted
below the fixture and the tool tip depth at which fracture occurred
wasalso recorded. Eachexperimentwas performedthree timesand
the final fracture depth for a component was taken as the average
of the observed fracture depths from the three experiments.
3. Fracturemodel and its implementation in FEA
This section describes the material model used and its imple-
mentation in FEA to predict fracture in incremental forming. The
predictions from FEA are compared to measurements obtained
from experiments.
3.1. Fracture model
The present work uses the damage plasticity model proposed
by Xue (2007a) in which two independent internal variables, i.e.,
the so-called damage variable and the plastic strain, are used to
describe the material status. The constitutive relationship consists
of a damage coupled yield function, the evolution laws for the
plastic strain (p) and a reference fracture strain (f). In particu-
lar, we chose the stress-based fracture envelope for its simplicity.
The damage coupled yield function is
= eq w(D)M 0 (1)
where eq is the equivalent stress, M is the undamaged matrixstress which is a functionof theplastic strainto include strainhard-
ening, andw(D) is a weakening factorused to describe the material
deterioration. The weakening factorw is related nonlinearly to thedamage variableD byw(D) = 1D, where is a material constant.The weakening factor w is treated as a scalar for isotropic dam-
age models like the present one. To model matrix resistance the
Swift-type hardening relationship is adopted as show in Equation
(2)
M= y0
1 + p0
n(2)
where y0 is the initial yield stress, 0 is the pre-strain, p is theplastic strain andn is the hardening exponent. The associated flow
rule is enforced.Accumulation of damageis modeled as a nonlinear
function of theplastic strain(p) anda reference fracture strain(f)and is expressed in the rate form as
D = m
pf
m1 pf
(3)
wherem is a material constant. In the finite element model an ele-
ment completely loses its load carrying capacity and is removed
when the value of the damage variableD reaches 1.0. When all the
elements through the thickness of the sheet are removed then a
crack is said to have occurred at that location. The reference frac-
ture strain (f) is first expressed as a stress envelope Mf, whichtakes the form of a modified Tresca type of pyramid (Xue, 2009) as
follows,
Mf=
f01 + kpp
3
2cos L(4)
where f0 is a reference fracture stress, kp is a material constantrelated to pressure sensitivity,p=(kk/3) is the hydrostatic pres-sure and L is the Lode angle, via which the deviatoric componentof the stress state is incorporated into the reference fracture strain.
An example of this reference fracturestrain in thespace of theprin-
cipal strains (1, 2and 3) and the hydrostatic stressp is shown inFig. 3.
Fig. 3. Illustrative example of the reference fracture strain envelope used in this
work.
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The reference fracture strainfused in Equation (3) is obtained
from the inverse of the matrix stress as:
f(p, L) = 0
f0y0
(1/n)1+ kpp
32cos L
(1/n) 1
(5)
Therefore, damage accumulation in this material model
depends on the plastic strain (p) as well as on the current state ofhydrostatic pressure and deviatoric stress state, via the reference
fracture strain (f). Xue (2010) showed that this type of I1-J2-J3constitutive model can predict both the onset of ductile fracture
and material instability at the same time. Note that in this material
model there are four material constants which cannot be obtained
from tensile tests and therefore, a calibration procedure with dif-
ferent mean stress and deviatoric stress states should be employed.
These parameters aref0, kpwhich quantify the reference fracturestrain (Equation (4)), and,mwhichare related to howthe damageand material softeningevolves (Equations (1) and (3) respectively).
The material constantf0 is thematrix stress at fracture under zeromean stress condition, i.e., tensile condition. The parameter kp is
responsible for the contribution of hydrostatic pressure towards
the evolution off. The material constant m signifies the rate at
which damage accumulates in an element and therefore how fast
the element is removed. The inclusion of a nonlinear damage evo-lution law takes into consideration the common observation that
damage accumulation rate increases as the plastic strain increases.
The value of dictates how the material loses its capacity to carry
load as damage accumulates. Note that sincem influences the evo-
lution of the damage (Equation (3)) and influences how thisdamage affects the weakening of the material (Equation (1)), both
these material constants are together responsible for the softening
behavior of the material as damage develops.
In addition to the prediction of damage accumulation and
fracture, the occurrence of diffused and localized necking during
deformation is predictedanalytically usingthis materialmodel.Dif-
fusedneckingis predictedusing a three dimensional generalization
of Consideres maximum force criterion to a maximum power cri-
terion, as derived in Xue (2010). The closed form expression usedto predict the onset of diffused necking is shown in Equation (6),
h
M+ wDD
w cos
L +
6
(6)
where wD =w/D, D =D/p, h=eq/p and L = Lode angle.The equal sign in Equation (6) denotes the onset of diffused neck-
ing. The effectof damageaccumulation andweakening on material
instability is included in this expression via the term (wDD/w).
Note that higherratesof weakeningor damageacceleratethe onset
of diffused necking. The occurrence of localizednecking, i.e.,of local
shear bands post diffused necking, is also predictedin a Hadamard-
Hill sense by examining the positive definiteness of the acoustic
tensor at the current stress state, as shown in Xue and Belytschko
(2010). The form of the acoustic tensorAis as follows
A = h : Cedp: h (7)
where Cedpis the elastic-damage-plasticity tangent matrix andh is
thedirection in which instability might develop. Thetangentmatrix
Cedpis expressed as
Cedp= wC0 +
2G0h+ 3G0
wDDw
2wG0r r (8)
where r is the deviatoric stress direction, =1/3kkI+2/3eqr, G0is the shear modulus of the material, C0 is the isotropic Hookean
matrix for the undamaged material. C0 is expressed as shown in
Equation (9).
C0=
2G0II
+ K0 2
3
G0 I I (9)
Table 1
FEM model details.
Simulation case Tool speed
(mm/s)
Target time
increment for
mass scaling (s)
Simulation
time (CPU h)
SPIF: cone 3000 1.5e06 78SPIF: funnel 1500 1.2e06 115Conventional forming of cone 3000 1.5e06 13
Table 2
Material properties calibrated from tensile tests.
(kg/m3) E(GPa) y0 (MPa) n 0
2680 68.6 0.3 117 0.22 0.0045
whereK0 isthe bulk modulus ofthe material,I and IIare thesecond-
order and fourth order identity tensors respectively. Equation (10)
shows the conditionin whichthe material is stable in a Hadamard-
Hill sense, where g is a vector denoting the direction of particle
velocity. The material has lost stability at a given state when, for
some directionh and velocity g, the left hand side of Equation (10)
is lesser than zero.
g: A: g 0 (10)
3.2. Implementation of the material-model in FEA
The above described material model was implemented using a
user subroutine in LS-DYNA. A schematic of the FEA model used
for simulating SPIF is shown in Fig. 4a. The blank material was
discretized using eight reduced integration linear brick elements
through the thickness of the sheet. The blank was meshed so that
the region to be formed had a radial mesh with a maximum in-
plane element size of 0.50mm in the radial direction and 0.35mm
in the circumferential direction (Fig. 4b). The tools and the top and
bottom clamps were discretized using planar shell elements with
an element size of 0.20mm for the tool and 2.5 mm for the clamps.
Furthermore, the tool speed was artificially increased and massscaling was used to speed up the simulation. The friction coeffi-
cient at thetoolsheet interfacewas specifiedas 0.15 (Eyckensetal.,
2010). The Belytschko-Tsay hourglass formulation was usedto con-
trol hourglassing. All simulations were performed on a workstation
with four processors at 3.66 GHz speed. Details on tool speed, mass
scaling and simulation time are shown in Table 1.
The material parameters E, y0, n and 0 were obtained fromuniaxial tensile tests and the values are shown in Table 2. The
four material constants f0, kp, m and were calibrated manu-ally by matching the tool z forces from simulation with the same
obtained from experiments for the case of the 70 cone (Table 3).The methodology used to find the values for these materials con-
stant is as follows.
The values ofkp and f0 control the initial slope of the forcecurve.A highervalueofkpandf0results in a greater slope and viceversa. The values of the parametersm and are usually between 2.0and 3.0 for most metals (Xue, 2007a,b). If the value ofm is too high
then the occurrence of fracture is delayed and the softeningpart of
the force curve is higher than that from experiments. In this case,
the value ofm is decreased to increase the rate of damage accumu-
lation so that fracture occurs at the correct depth. After this, if the
Table 3
Reference fracture strain parameters calibrated using trial simulations with 70
cone.
f0 (MPa) kp(MPa1) m
490 0.0001 1.80 2.5
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R.Malhotra et al. / Journal of Materials Processing Technology212 (2012) 15731590 1577
Fig. 4. (a) Schematic of the FEA model used to simulate SPIF. (b) Top view ofthe meshusedto discretize the blank.
initial slope of the force curveand thefracture depthare foundto be
matching well but excessive weakening is observed then the value
of needs to be increased. In this work three trial simulation runs
were performed to calibrate these material parameters (Table 3).To show the quality of the damage model calibration the forming
forces in thezdirection obtained from experiments and simulation
for the 70 cone are compared in Fig. 5a.
3.3. Verification of the material calibration results
The calibrated FEA predicted that the cone fractured at a tool
tip depth of 16.1mm in experiments as compared to a tool tip
depth of 14.8mm predicted by FEA. Furthermore, the maximum
thinning just before fracture was 64% from experiment and 63%
from simulation. The same model was then used to predict form-
ingforce andfracture depthfor the funnelcase(Fig.2b). Inthis case,
theexperimentallymeasured fracturedepth fromexperiments was
15.2mm and that predicted by FEA was 14.5mm. The toolzforces
from experiments and simulation for the funnel are compared in
Fig. 5b. Thethinning beforefracture wasmeasured to be 65.8%from
experiments and 63.64% from simulation.
The forces on the tool relate to the state of stress in the mate-
rial, maximum thinning relates to the strain experienced by the
material and the fracture height relates to how well the damage
evolution function (Equation (3)) incorporates the physical effects
that govern fracture in SPIF. It can be seen that the toolzforce pre-
diction, the maximum thinning and the fracture depth prediction
from FEA all agree quite well with those from experiments.
3.4. FEMmodel of the conventional deep drawing process
To analyze the difference between SPIF and the conventional
deep drawing process, the forming of the 70 cone with a largerpunch instead of with a SPIF tool was also simulated. A schematicof the FEA model used for this simulation is shown in Fig. 6a. The
cornerradius of thepunchwas the same as the SPIF tool radius, i.e.,
4.75mm, and the material properties and mesh size of the blank
as well as contact properties were the same as those in SPIF. In the
SPIF simulation, the outer periphery of the blank was constrained
so that the blank was completely fixed in the xy plane, i.e., there
was no material draw in. The top and bottom clamps were used
to constrain motion of the unformed region of the blank in the z
direction. For the conventional forming simulation, the boundary
of the blank was not constrained, i.e., draw in was allowed. The
blank holder and the die were only used to prevent motion of the
unformed region in the zdirection. The punch was displacement
controlled such that if the SPIF tool tip was at a depth z at time
t then the flat face of the punch was also at the same depth zat
time t. The coefficient of friction between the fixture and the blank
was specified as 0.15, the same as in the case of SPIF. The punch
movement in the negativezdirectionwas set such that theflat face
of the punch was at the samezdepth as the tip of the SPIF tool at
any point during the simulation. The predicted fracture depth for
this larger punch forming case was 13.5 mm, i.e., the formed depth
in SPIF was greater than that in the punch forming case. The plastic
strain just before fracture was 1.43 for the conventional forming
case, as compared to a strain of 1.83 for SPIF. Also in the punch
Fig. 5. Comparison of toolzforcesbetween FEA and experiments for (a)70cone (b)funnel.
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1578 R. Malhotra et al. / Journal of MaterialsProcessing Technology212 (2012) 15731590
Fig. 6. (a)Schematic of theFEA model (b) occurrence of crack predicted by FEA, forthe punch forming case.
forming case fracture occurred as a continuous crack all along the
circumference of the component (Fig. 6b).
A comparison of the hourglass control energy, kinetic energy
and internal energy of deformation for SPIF and conventional form-
ing simulations showed that the kinetic energy and hourglass
control energy were less than 4% of the internal energy of defor-
mation. Therefore, the effects of hourglass control, mass scaling
and artificially speeding up the tool on the simulation results was
negligible.
4. Deformation analysis of incremental forming
The predictions in terms of forming force, fracture depth and
thickness reduction obtained from the FEM model embedded with
the fracture model provide a good foundation for further analyz-
ing the fundamental deformation mechanics in SPIF. The question
to be answered is, which factors contribute the most to the occur-
rence of fracture in SPIF? This section analyses the key indicators
that can be obtained from the FEA to answer this question. These
indicators are: the damage variable (D) in Section 4.1, plastic strain
(p) in Section 4.2, hydrostatic pressure (p) in Section 4.3, through-
the-thickness shear (13, 23) in Section 4.4 and fracture strain (f)in Section 4.5. The combined effect of these indicators is analyzed
in Section 4.6, to pinpoint the primary deformation mechanisms
affecting fracture in SPIF. All the analysis starts with an examina-
tion of the deformation history at four sections A, B, C and D along
theprofile of thedeformedshapesin thesimulation, section D being
closest to the axis of symmetry of the formed component (Fig. 7a).
At each of these sections the four elements through the thickness
of the sheet are labeled 1 to 8, where 1 is the element on the
inner side of the sheet which is in contact with the tool and 8 is
the element on the outer side of the sheet (Fig. 7b). This work con-
centrateson examining the deformationof elements1 and 8 ateach
of the four sections A, B, C and D. The key deformation indicators
mentioned above are plotted versus thezdisplacement of the tool
tip.
4.1. Damage evolution indicatedby damage index (D)
The damage plasticity model uses a damage variable D to sig-
nify the accumulation of damage and loss of the materials ability
to take stresses during deformation. An element is removed when
the damage variable D reaches a value of 1.0 and a crack is said to
occur at a location where all elements through the thickness of the
sheethave beenremoved.Since we are interested in the occurrence
of fracture therefore, in this sub-section, the evolution of damage
variable, D, in SPIF will be examined first. Fig. 8a and b show the
evolutions of the damage variableD from section A to section D for
the cone and the funnel, respectively.
Itcanbeseenthatinboththeconeandthefunnelcases,thedam-
agevariable evolves fasterfor element 8, i.e., onthe outer side of the
sheet,thanfor element 1 whichis onthe inner side of the sheet.As a
result, in FEA the element on the outer side of the sheet is removed
first. This phenomenon was also confirmed by a visual examina-
tion of the FEA results. Physically this implies that in SPIF the crack
initiates on the outer side of the sheet and propagates inwards.
Note that in Equation (3) the damage variableD is directly propor-
tional to plastic strainp andinversely proportionalto the referencefracture strain f. Therefore, to investigate the reasons behind the
trends for damage evolution shown in Fig.8, the evolutionofpandf at sections A, B, C, D shall be examined next.
4.2. Evolution of plastic strain (p)
Fig. 9 shows the evolution of plastic strain (p) for elements 1and 4 at sections A, B, C and D for the cone and the funnel cases.
For both the cone and the funnel cases, the plastic strain at any
section is greater for the outer side of the sheet (element 8) than
it is for the inner side of the sheet (element 1). This is because of
local stretching and bending of the sheet around the tool which
causes the element on the outer side of the sheet (element 8) tostretch more as compared to the element on the inner side (ele-
ment 1). This results in a higher plastic strain on the outer side of
the sheet. Since, damage accumulation is directly proportional to
plastic strain (Equation (3)), a straightforward conclusion is thatby
itself, localbending ofthe sheetaround thetoolwill attempt to increase
damage accumulation on the outer side of the sheet as compared to
the inner side of the sheet.
However, attributing the damage behavior observed in Fig. 8
entirely to this phenomenon would be premature. As shown in
Equation (3) it is not only the plastic strain p but also the ref-erence fracture strain f that plays a role in determining damage
accumulation. The following sections will explore this facet further
by examining in greater detail the factors that affect f, i.e., hydro-static pressure in Section 4.3 and through-the-thickness shear in
Section 4.4.
4.3. Hydrostatic pressure (p)
The evolution of hydrostatic pressure (p) in forming the cone
and the funnel is shown in Fig. 10. The hydrostatic pressure, p, is
positive on the outer side of the sheet (i.e., element 8) andnegative
on the inner side of the sheet (i.e., element 1). This is because once
the tool has passed over a certain region of the sheet, that region of
the sheetundergoes local springback. This results in the hydrostatic
pressure on the outer side becoming positive and on the inner side
becoming negative. This effect is seen more clearly by examining
thehydrostaticpressure contours in a certain regionof theblankat
consecutive timesteps during the simulation, as shown in Fig. 11. In
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Fig. 7. (a) Schematic of sectionsA, B, C and D along thecomponent wallat which thedeformation history from FEAis examined.(b) Nomenclatureof elements through the
thicknessof thesheet(contours of damage variable D shown).
Fig. 8. Evolution of damage variable D atsections A,B, C,andD for the (a) 70cone (b) funnel shape.
Fig. 9. Evolution of plastic strain pat sectionsA, B,C, and D for the (a) 70cone (b) funnel shape.
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Fig. 10. Evolution ofhydrostatic pressure at sections A, B, C, and D for the (a) 70cone, (b) funnelshape.
the contours shown in Fig. 11a thehighlighted regionof the blank is
in contact with thetool. Fig. 11b shows thesameregion of theblank
after the tool has passed over this region and local springback has
occurred. It canbe seen that thelocal springback results in negative
hydrostatic pressure on the inner side of the sheet and positive
hydrostatic pressure on the outer side of the sheet.
In terms of the effect of hydrostatic pressure (p) on f(Equa-tion (5)), the trends shown in Fig. 11 mean that the pressure term
(1 + kpp)1/n in Equation (5) will be greater than 1.0 for element 8
and lesser than 1.0 for element 1.
4.4. Through-the-thickness shear (zx, zy)
Since the Lode angle L, in Equation (5) denotes the shear com-ponentof thestressit isalsoworthwhileto look atthe shearstresses
in SPIF. Along the direction of the tool motion (i.e., along the hoop
Fig. 11. Contours of hydrostatic pressure on thedeformedblank at simulation time of (a) 2.3885s (b) 2.3942s.
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Fig. 12. Evolution of through-the-thickness shear along the tool motion direction (zx) atsections A,B, C,D for the (a) 70cone (b) funnel shape.
direction of the component) the tool drags the material along with
it, causing a through-the-thickness shearzx. Fig. 12 shows thatzxincreases from sections A to D and is higher on the inner side of the
sheet, i.e., for element 1 than for element 8.
Since a spiral toolpathis being used,the toolcontinuously moves
down in thezdirection while moving in thex andy directions and
therefore drags material in a direction perpendicular to the tool-
path as well. Fig. 13 shows the evolution of through-the-thicknessshear in a directionperpendicularto thetool motion, i.e.,zy. Again,shear is greater on the inner side of the sheet as compared to
the outer side of the sheet. Note that there are three important
trends associated with shear, i.e., (1) greater shear on the inner
side of the sheet, (2) increase in shear along the toolpath motion
with deformation depth, and (3) shear along the toolpath direction
being greater than shear in a direction perpendicular to the tool-
path motion. All these trends have been shown in the past work of
Jackson and Allwood (2009). The effects of the observed trends of
hydrostatic pressure and through-the-thickness shear on fwill bediscussed below.
4.5. Reference fracture strain (f)
In the present material model f depends on the hydrostatic
pressure p and the on the shear, via the Lode angle L as shownin Equation (5). The product term [(1 +kpp) (
3/2 cosL)]
(1/n), in
Equation (5), signifies the combined effect of the hydrostatic pres-
sure andthe Lode angleof the current stress state onf. To examinethe individual effects ofp and L, this product term is split up into apressure term (1+ kpp)
(1/n) and a Lode angle term (
3/2 cosL)(1/n).
Theevolutionofthesefactorswithplasticstrainisindividuallyplot-
ted(Figs. 14and15 respectively),for elements 1 and4, at section D,
i.e., where the through-the-thickness crack first begins. Note here
that a higher value of the product term implies a higherfwhich inturn means that damage accumulation is retarded, and vice versa.
It can be observed that for both the cone and the funnel the
pressure term is lesser than 1.0 for element 1 and greater than 1.0
for element 8. This is to be expected since the hydrostatic pressure
is negative for element 1 and positive for element 8 in both cases
(Fig. 10). Therefore, if the Lode angle terms for elements 1 and 8
are comparable, the product term for element 8 should be higher
thanthat for element 1. This should in turncause anincrease inthe
correspondingffor element 8. However, Figs. 14and 15 show thatfor both the cone and the funnel the modification term is actually
lower ontheoutersideof the sheet (element8) thanit ison the sidein contact with the tool (element 1). This is because in-spite of the
increasing pressure term theLode angle term is so dominant that it
reduces the modification term more significantly on the outer side
of the sheet.
Since the Lode angle is representative of the deviatoric com-
ponent of the stress, this difference in Lode angle terms can
be attributed to the difference in through-the-thickness shears
between the outer and inner sides of the sheet (Figs. 12 and 13).
Therefore, it is the through-the-thickness shear and not the hydro-
static pressure which dominates evolution of the reference fracture
strain fin SPIF. Furthermore, since fis inversely proportional to thedamage variable D, taken by itself, higherf on the inner side of thesheetwill cause retardation in damageaccumulationon the inner side
of the sheet as compared to the outer side.Thereforeit can be said that highershearon theinnerside of the
sheet is a deformation mechanism which will try to reduce dam-
age accumulation on the inner side of the sheet as compared to
the outer side. This also correlates well to past work by (Allwood
et al., 2007) which proposed that greater shear can enhance
formability.
4.6. Combined effect of local bending and through-the-thickness
shear
The analysis performed till now has shown two deformation
mechanisms, which drive damage accumulation in SPIF. These
mechanisms are as follows:
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Fig. 13. Evolution of through-the-thickness shear perpendicular to the tool motion direction (zy) atsections A,B, C,andD for the (a) 70cone (b) funnelshape.
Fig. 14. Comparison of modification factor, pressure factor and Lode angle terms for 70cone.
Fig. 15. Comparison of modification factor, pressure factor andLode angle terms forthe funnelshape.
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Fig. 16. Evolution of (a)damagevariable:D (b) plastic strain: p, at sectionsA, B,C and D for the punch forming case.
the onset of diffused necking occurs earlier in SPIF than that in
the conventional forming case. Consequently, the occurrence of
localized necking is also earlier than in the punch forming case.
If material localization is used as an indicator of fracture then one
would expect that since localized necking begins earlier in SPIF
the fracture depth in SPIF would also be lower. However, this is
not the case. The reasons for this will now be discussed.
A very significant difference between SPIF and the punch form-
ing cases arises after localized necking begins. The z depth at
fractureinSPIFis14.81mm,i.e.,about6.4mmofthealreadyformed
material is in a state of localized necking before fracture finally
occurs (Fig. 21c). This is more than twice that in the punch form-
ing case. This is because, in SPIF, after the tool deforms a certain
region and causes localized necking it moves on and deforms new
material. As a result the amountof deformation experienced by the
previously unstable region is lesser than it would be with a more
global deformation as in the punch case. So the shear bands do
not grow as fast as expected. Therefore, local deformation in SPIF
is responsible for the existence of a large localized necking region
before fracture finally occurs. The effect of the previously formed
material in SPIF undergoing localizednecking without goingall the
way to fracture is that this previously formed region is able to take
up some ofthe deformationcaused insubsequentpasses ofthe tool.
As a result the component can be formed to a greater zdepth and
a greater plastic strain without fracture using SPIF as compared
to the punch forming case. This effect is also seen by examining
the plastic strain contours for both cases which show that in the
punch case (Fig. 20c) the plastic strain becomes concentrated very
quickly into the shear bands in the localized necking region before
fracture. However, in SPIF (Fig. 21c) the plastic strain is distributed
Fig. 17. Evolution of through-the-thickness shear along (a) hoop direction (zx) (b) component wall (zy),at sectionsA, B,C and D for the punch forming case.
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Fig. 18. Comparison of modification factor, pressure factor and Lode angle terms for 70cone formedwith (a) SPIF (b) large punch.
over a much larger localized necking region and has greater mag-
nitude before fracture, as compared to the punch case. Therefore,
the component wall has a more uniform strain distribution in SPIF.
This phenomenon can be better understood by a simple analogy,
i.e., the so-called noodle theory which is as follows. Consider a
single string of wheat noodles that is held at one end and then
needs to be stretched as much as possible.
One obvious strategy is to start pulling at the free end of the
string (Fig. 22a). As a result, at some location on the string the
material will begin to localize, as shown in red vertical stripes in
Fig. 22b, a strain concentration will develop and eventually fracture
will occur (Fig. 22c). This is similar to what happens in conventional
forming. An alternatestrategywould be to stretch by smaller incre-
ments allalong thestring. One would startat a pointa littlebit awayfrom the fixed end of the string(section AAin Fig. 22d) and stretchby a small increment (says), while moving the location at which
the deformation is applied by small regular increments (say c)towards the free end of the string(Fig. 22e), i.e., from section AAto
DD. In this case, material instability would begin much earlier ascompared to the previous strategy (Fig. 22d). However, ifs is lowenough the localized material would not go all the way to fracture.
So, after some time, when the string is being stretched at section
DD (Fig. 22e) some of the deformation would be taken up by thepreviously localized region, i.e., at sections AA, BB and CC. As aresult, the strain would get distributed more uniformly along the
entire length of the string. With the right combination ofcands at each section the string could be stretched to a greater lengthwithout breaking (Fig. 22f). This is very similar to what happens in
SPIF.
It might be thought that if the previous neck is taking up some
of the deformation in subsequent tool passes then it should grow.
The question might arise that if this is the case then why fracturein SPIF does not occur at the originally formed local shear band,
instead of at the contact zone around the tool tip. The ability of
a local shear band to share some of the subsequent deformation
without going to fracture depends not only on the extent of the
Fig. 19. Ratio (p/f) atsections A,B, C,andD for 70cone formedusing (a) SPIF (b) large punch.
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Fig. 20. Contours of localization flag,zdepth and plastic strain at (a) at onset of diffused necking (b) at onset of localized necking (c) just beforefracture, forpunch forming
ofthe 70cone.
deformation but also on the location of application of the defor-
mation. Note that in the schematic representation of the noodle
theory shown in Fig. 22(ef), for the SPIF strategy, the localized
neck growth is more in the region near the actual section of load
application. This is because as the distance of the neck from the
actual point of load application increases the ability of this neck to
share some of the deformation reduces. As a result, after the onset
of localizednecking, it is alwaysthe neck closest to thecontact zone
thatgrows to fracture.Essentially, the portion of the necking region
that is responsible for sharing most of the subsequent deformation
also moves along with the location of load application.
Further supporting evidence for the noodle theory is provided
by the plots of plastic strain shown in Figs. 9a and 16b. As men-
tioned earlier, these plots show that the plastic strain increases
gradually and very regularly along the profile of the SPIF cone,
i.e., from sections A to D, indicating a more uniform distribution
Fig. 21. Contours of localization flag,zdepth and plastic strain at (a) at onset of diffused necking (b) at onset of localized necking (c) just before fracture, for SPIF of the 70
cone.
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Fig. 22. (a) Stretching the string at the free end (b) material localization at a single location on thestring. (c) Fracture at location of material localization. (d) Stretching the
string by s at location cfrom the free end (e)continuous material localization along length of thestring (f)elongation to a greater length without fracture.
of plastic strain along the component wall. This also means that
even after the tool has moved on the previously formed region
is actually taking up some deformation in the subsequent tool
passes. On the other hand for the punch forming case, the plastic
strain is concentrated at section D. In fact, at section D after a
certain point (at which point this region is in a state of localized
necking) the plastic strain rate increases dramatically indicating a
rapid concentration of strain in this region after localized necking.The existence of a larger localized region in SPIF is further sup-
ported by theobservationof materiallocalizationall along theouter
surface of the formed SPIF components (Fig. 23). The components
shown are funnels formed with an incremental depth of 0.5 mm.
The z depth between the localized bands was measured using a
depthgaugeto be approximately 0.5mm. Furthermore, it was visu-
ally observed during the forming process that these shear bands
initiated and grew in the regions where the tool was currently in
contact with the sheet. Fracture always occurred at a previously
generated shear band closest to the current position of the tool.
6. Discussion
The goal of this section is interpret the results obtained in thiswork in an attempt to correlate it to work done in the past and
to examine the implications of the observations made, on the SPIF
process.
6.1. Deformation mechanisms in SPIF
Experimental work in the past (Jackson and Allwood, 2009) has
shown that in SPIF shear along thetoolpathincreases with depth of
deformation, is greater along the direction of the toolpath motion
than perpendicular to it and is greater on the inner side of the
sheet than on the outer side. This is supported by the current work
(Figs. 12 and 13). Furthermore, it is shown that the outer side of
the sheet is subjected to greater plastic strain due to local bending
of the sheet around the tool (Fig. 9). The lower shear and greater
plastic strain on the outer side of the sheet cause greater damage
accumulation on the outer side of the sheet (Fig. 8). This causes the
crack in SPIF to begin on the outer side of the sheet and propagate
inwards. Therefore, when considering failure in SPIF the combined
effect of both local bending and shear must be accounted for.
6.2. Influence of shear on formability in SPIF as compared to
conventional forming
It has been proposed in the past (Allwood et al., 2007; Allwood
and Shouler, 2009) that increased shear in SPIF could be the rea-
son for increased formability in SPIF as compared to conventional
forming. This work partially supports this theory by showing that
increased shear does increase f in SPIF (Fig. 18) which shouldcause lesser damage accumulation in SPIF. At the same time, as
compared to conventional forming, the increase in damage accu-
mulation caused by local bending of the sheetaround the SPIF tool
overwhelms the reduction in damage accumulation due to higher
shear (Fig. 19). Consequently, damage accumulation is faster in SPIF
thanin conventional forming (Figs. 8a and 16a). Therefore, attribut-
ing the increased formability in SPIF as compared to conventional
forming, solely to shear, might not be a complete explanation. Thisraises the question of why formability is higher in SPIF than con-
ventional forming.
6.3. The Noodle theory of failure in SPIF
Martins et al. (2008) proposed that failure in SPIF occurs by uni-
form thinning without evidence of localized necking. This work
shows what appears to be localized necking on the outer side of
the components formed with SPIF (Fig. 23). At the same time it is
important to note that the occurrence of localizedneckingis a fairly
subjective phenomenon as far as experimental observations are
concerned. It is very difficult to decide whether the occurrence of
what might appearto be a neck is purelya geometricphenomenon,
purely a material deformation affect or a combination of both of
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Fig. 23. Regions along the outer surface of SPIF components indicating material localization.
these. However, their claim that in SPIF a neck does not grow com-
pletely to failure upon initiation is supported by the current work
as well as shown in Section 5.3.
Emmens et al. (2009) examined formability in SPIF in terms of
the suppression or retardation of necking. They noted that whilelocalization of material in SPIF is inevitable, the increase in forma-
bility as compared to conventional forming can be explained in
terms of mechanisms which reduce stress at the location of the
originated neck to a level below that required for further growthof
theneck. Thiswork shows thatmaterial localizationis verymuch an
essential characteristic of SPIF due to the local nature of deforma-
tion in the process (Figs. 20 and 21). This happens because in-spite
of higher shear the accumulation of plastic strain, and therefore
of damage, is much higher very early on during the deformation in
SPIF. This shouldcause earlier onset of materialinstabilityand frac-
ture in SPIF as compared to conventional forming. While material
instability does begin early on, actual fracture occurs much later in
SPIF than in conventional forming.
A new noodle theory is proposed that explains the increasedformability in SPIF as compared to conventional forming in-spite
of the fact that damage accumulation and onset of material insta-
bility is faster in SPIF. The theory goes farther than taking material
localization as an indicator of the occurrence of fracture by ana-
lyzing what happens after material localization. It is shown that
the inherently local nature of deformation in SPIF allows the gen-
eration of a larger region of unstable, but not fractured, material
before actual failure occurs (Fig. 21). It is proposed that it is the
ability of this region, in essence, to share some of the deforma-
tion in the subsequent passes of the tool which is the root cause for
increased formability in SPIF (Fig. 22). Thefact that the crack occurs
around thetoolcontactzone instead of at the first originated neck is
explainedby thefactthatthe extentto whicha neck growsdepends
on not only the extent of the subsequent deformation but also onthe location of the application of this deformation.
This theory might also explain the reason for the inability to
accurately predict failure in SPIF using conventional FLCs. Conven-
tional FLCs predict the occurrence of material localization. Using
FLCs to predict failure in conventional sheet forming (Filice et al.,
2002; Hussain et al., 2009) makes the assumption that the transi-
tion from material localization to fracture is so fast that keeping
a margin of safety from the occurrence of material localization is
enough to prevent fracture. This assumption is true for conven-
tional processes, as is shownin thesimulationof the punchforming
case, where material localization is quickly followed by fracture
(Fig. 20). However, for SPIF the transition frommateriallocalization
to actualfracture is much slowerin SPIF than in conventionalform-
ingdueto the local nature of deformationin the process. This is why
FLCs, which predict material localization, are unable to accurately
predict fracture in SPIF.
A practical concern that arises from the observation of a larger
localized necking region in SPIF is that parts formed by SPIF will
be severely damaged even before going into actual operation. It isimportant to note that any material has internal voids which are
subjected to damage under even a small tensile stress. The damage
evolution in general plays a more important role in final fracture
compared to the damage initiation. Therefore, simply taking the
initiation of localized necking at one material point as an indica-
tor for damage is premature. Additionally, another relevant work
(Agrawal et al.,submitted for publication), a studyon a channel part
has shown thatSPIF formed parts have a significantlylonger fatigue
life compared to parts obtained from conventional machining or
bending processes.
6.4. Effect of process parameters on fracture in SPIF
Process parameters such as incremental depth, tool size, tool
rotation, feed rate and friction at the toolsheet interface affect
both local bending and shear in SPIF. Therefore, they also control
damage accumulation and the occurrence of localized and diffused
necking which subsequently controls the final fracture depth. In
addition to predicting fracture and explaining higher formability
in SPIF as compared to conventional forming, this link between
operational parameters and the occurrence of fracture provides a
powerful means to qualitatively predict the effect of operational
parameters on fracture in SPIF.
For example, plastic strain evolution is one factor that affects
damage accumulation. The phenomenon of higher plastic strain
on the outer side is induced by local bending of the sheet and is
therefore qualitatively inherent to SPIF. A change in the incremen-tal depth and the tool size, might reduce the rate at which this
plastic strain and therefore damage accumulates. This will cause a
delayin onsetof diffused neckingand subsequentlocalized necking
which would in turn lead to a greater fracture depth. This might be
a possible explanation for the well documented observation that a
reduction in incremental depth or tool size results in an increased
fracture depth.
Whether shear or local bending dominates fracture in an SPIF
operation is a question that can only be answered subjectively
with reference to another SPIF operationwith different operational
parameters. The answer depends on which operational parameters
dominantly affect plastic strain and shear strain and by howmuch,
andon which parameters aredifferent between the two operations
being compared.
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