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38
CHAPTER 3
THERMAL AND THERMO-MECHANICAL
MODELING OF FSW
3.1 INTRODUCTION
A complex state of thermo-mechanical stresses is developed in a
welded structure as a direct consequence of the non uniform heating cooling
processes taking place in it. Residual stresses are the stresses that remain in a
body after all the external loads have been removed from that body. These
stresses reduce the load carrying capacity of the structures (Canes et al 1995).
The high level of stresses in the neighbourhood of the weld joint can increase
the tendency to brittle fracture and can affect the corrosion and fatigue
behavior (Fratini and Zuccarello 2006). All of this compels the designer to
know about residual stress state quantitatively and qualitatively. This
knowledge would also help them to employ appropriate stress relief
techniques.
Welding is a multi-physics problem and complex in nature. The
complexities include material and thermal properties which vary with
temperature, transient heat transfer, moving heat source, complex residual
stress state and difficulties in making experimental measurements at high
temperatures. The development of mathematical models can greatly
contribute to better understanding of any welding process, particularly FSW.
Evaluation of thermal and residual stresses associated with welding process is
extremely complicated issue. As a first step, the time dependent temperature
39
distribution, associated with the heat supplied during welding has to be
estimated. This temperature distribution will have an associated thermal
stresses which will also be time dependent, leading to residual stresses. The
difficulty in determining these stresses is influenced by the variation of
thermal and mechanical properties of the material with temperature and by the
plastic deformation of weld zone, all of which make analytical approach to
the problem of almost impossible.
Numerical techniques such as FEM can be used to deal this type of
complex problems. A validated FEM model has the potential to produce
reliable information about the thermal cycles, deformation and stress patterns
that are important to understand the mechanism of heating and the bonding of
materials during FSW. The results of the model will also be helpful in
designing FSW tools and thus should be capable of producing welds free of
defects and voids.
Thermal cycle in FSW is due to moving heat source employed in this
welding process. The thermal cycle is characterised by a heating stage, that is,
temperature rise upto a maximum, followed by a cooling process. Heating upto
a maximum temperature can be slow or fast depending upon the welding
process. The high temperature exposure produces varied effects on the
microstructure and properties of the weldments. The actual effect depends on
the temperature duration and the cooling rate after exposure. An exact
knowledge of thermal cycle is important to assess the properties and integrity
of welded joints.
This chapter presents the methodology of developing a thermal and
thermomechanical model to predict the thermal cycles and residual stresses
using finite element code ANSYS. First, a non-linear 3D transient thermal
model to simulate the temperature distribution during FSW of aluminium
40
alloy 2014-T6 is developed. A thermomechanical model to predict the
residual stresses in the welded plate using the predicted temperature field, is
also developed.
3.2 NUMERICAL MODELING
Experimental restrictions on the number of locations at which
temperature and residual stresses could be measured and the high cost of
experimentation necessitated the development of numerical model to predict
the thermal history and residual stresses in FSW. In the present study, an
attempt has been made to predict the residual stresses developed in aluminium
alloy AA2014-T6 during FSW by employing coupled field analysis. The
thermal analysis is performed first to generate temperature history. Thermal
stresses are calculated from the temperature distributions determined by the
thermal model during welding process. The residual stresses in each
temperature increment are then added to the nodal point location to update the
behavior of the nodal point before the next temperature increment. Figure 3.1
presents the analysis procedures.
3.3 THERMAL MODEL
Assumptions made in the thermal analysis are as follows:
The heat generation is due to friction only.
Heat generated during penetration and extraction is negligible.
Heat transfer by radiation is negligible.
The density of the material is not affected by thermal
expansion.
The tool pin is assumed to be cylindrical.
41
Figure 3.1 Flow chart of thermo-mechanical analysis
42
Following process parameters are considered in thermo-mechanical
model (Mahapatra et al 2006):
moving heat source
weld speed
tool rotational speed
axial load and
material properties
The temperature distribution during welding is calculated by
solving the governing equations for heat conduction applying proper
boundary conditions.
3.3.1 Governing Equations
When a volume is bounded by an arbitrary surface S, the balance
relation of the heat flow is expressed by the following equation (Holman
2002):
, , ,, , ,yx zRT x y z t R RC Q x y z t
t x y z
(3.1)
where Rx, Ry and Rz are the rate of heat flow per unit area, T(x, y, z, t) is the
current temperature, Q(x, y ,z, t) is the rate of internal heat generation.
The model may then be completed by introducing the Fourier heat
flow as
xTkR xx (3.2)
43
yTkR yy (3.3)
zTkR zz (3.4)
where T is the temperature and t is the time. kx, ky and kz are the thermal
conductivity along three directions. The heat transfer equation for the
workpiece is modified as:
, , ,x y z
T x y z t T T TC k k kt x x y y z z
(3.5)
The final system of finite element equations of (3.5) is as follows:
.
[ ]{ } [ ]{ } { }K T C T F (3.6)
where
1
[ ] [ ]M
e
eK K
(3.7)
1
[ ] [ ]M
e
eC C
(3.8)
M
e
eFF1
}{}{ (3.9)
and
1
[ ] [ ] [ ][ ] [ ] [ ]e T T
v S
K B D B dv h N N dS (3.10)
[ ] [ ] [ ]e TpC C N N dV (3.11)
2 3
{ } [ ] [ ] [ ]e T T T
V S S
F Q N dV q N dS hT N dS (3.12)
The equation (3.6) is the required basic matrix differential equation.
44
3.3.2 Initial and Boundary Conditions
The solution of the heat conduction equation involves a number of
arbitrary constants to be determined by specified initial and boundary
conditions. These conditions are necessary to translate the real physical
conditions into mathematical expressions (Hsu 1986). The conduction and
convection coefficients on various surfaces play a key role in determination of
the thermal history of the workpiece in FSW. Figure 3.2 shows the various
thermal boundary conditions applied in the model.
Figure 3.2 Thermal boundary conditions
Initial boundary conditions are required only when dealing with
transient heat transfer problems in which the temperature field in the material
changes with time:
45
(i) The common initial boundary condition in a material for the
calculation can be expressed mathematically as
0, , ,T x y z t T (3.13)
The initial temperature of the workpiece is assumed to be
atmospheric temperature 303 K.
Specified boundary conditions are required in the analysis to
all transient or steady state problems. The energy balance at
the work surface leads to a few other boundary conditions. A
specified heat flow qs and qp are supplied from the shoulder
and pin over the instantaneous surface of the work. The
other surfaces except bottom are exposed to atmosphere,
where heat loss qcon takes place owing to convection.
(ii) The heat flux boundary condition at the tool and workpiece,
tool pin and workpiece interface are expressed as:
sTk qn
and p
Tk qn
(3.14)
(iii) The convective boundary condition for all the workpiece
surfaces exposed to the air is expresses as:
( )oTk h T Tn
(3.15)
where n is the normal direction vector of the boundary. To
account for convection, all of the surfaces exposed to the
atmosphere were allocated a uniform convection coefficient
of 15 Wm-2K-1 (Peel et al 2006a). The surface of the
workpiece in contact with the back plate is approximated to
the convection condition with an effective coefficient of
convection 300 Wm-2K-1. The mode of heat transfer between
46
workpiece and back plate under tool is modeled (Vijay et al
2005) with contact conductance of 3000 – 4000 Wm-2 K-1.
(iv) The two plates to be welded are assumed to be identical. At
the centerline of the workpiece, the temperature gradient in
the transverse direction (∂T/∂y) equals zero due to the
symmetrical requirement.
3.3.3 Modeling Heat Input
The heat generated between the tool shoulder and the workpiece
and heat generated between the tool pin and the workpiece are both
considered as heat inputs in this finite element model. The heat source in
FSW is considered to be the friction between the tool shoulder and the
workpiece, the tool pin and the workpiece surfaces. The local heat generated
(dQ) over the interface of the tool shoulder and workpiece surface is
calculated using the standard equation (3.16) (Dong et al 2001, Fonda et al
2002).
22 ad Q F r d r (3.16)
Even though the coefficient of friction µ varies with temperature, in
this model an effective coefficient of friction of 0.3- 0.5 is considered. High
and low values of co-efficient are used for low and high values of tool
rotation respectively (Peel et al 2006a).
Colegrove has proposed an expression (Song and Kovecevic 2003)
on calculating the heat generated between the tool pin and workpiece. The
heat generated by the tool pin (Q) given in equation (3.17) consists of three
47
parts. They are (1) heat generated by the shearing of the material; (2) heat
generated by the friction on the threaded surface of the pin; and (3) heat
generated by friction on the vertical surface of the pin.
CosVFVhrYkVYkhrQ mpprtpmtp
4
13
2
32
2
(3.17)
where
190 tanm (3.18)
sin
sin 180m pV v
(3.19)
sin
sin 180r p pV v
(3.20)
pp rv (3.21)
Since the traverse force Ft is not measured during welding, the third
component in the equation is neglected while calculating the heat input due to
tool pin.
3.4 THERMO-MECHANICAL MODEL
Residual stresses in welding are produced by (Murthy et al 1996):
(1) Plastic strains due to heating and cooling owing to large
thermal gradients and low yield strength corresponding to that
temperature.
(2) Material dilatation during solid phase transformation.
48
These are dependent on the rate of cooling. Calculation of the
residual stress due to thermal gradient induced strains, strains caused by
microstructural changes and strains due to mechanical loading requires
thermo elasto-plastic formulations.
The following assumptions apply to the formulations:
1. The material is treated as a continuous medium or a
continuum.
2. The material is isotropic, with its properties independent of
direction.
3. The material has no memory such that the effects on the
material in previous event do not impact the current event.
In the stress analysis, the temperature history obtained from the
thermal analysis is taken as input for determining thermal strains and stresses.
Thermal strains and stresses are calculated in addition to the mechanical
strains and stresses due to the axial load of the tool at each time increment and
the cumulative stresses are found at each load step. Before the next
temperature increment, these stresses are then added to those at nodal points
to update the behavior of the model.
3.4.1 Governing Equations
Some of the plasticity constitutive laws for metals are discussed in
this section. Thermal effects are accounted for in the stress analysis by
including thermal strains and temperature dependent material properties. Also
the thermal state affects the physical yield criterion. The constitutive laws
49
relating stresses, strains, and temperature are nonlinear in the theory of plastic
deformation of solids.
Two basic sets of equations relating to the elasto-plastic model, the
equilibrium equations and the constitutive equations are considered as follows
(Teng et al 1998, Sadhu Singh 2005).
(1) Equations of equilibrium (in Cartesian co-ordinates):
Consideration of the variation of the state of stress from point to point leads to
the equilibrium equations given by
0
xxzxyx Bzyx
(3.22)
0
y
yzyxy Bzyx
(3.23)
0
zzyzxz Bzyx
(3.24)
where Bx, By, and Bz are the components of the body force (in N/m3), such as
gravitational, centrifugal or other inertia forces.
(2) Constitutive equations for an elasto-plastic material: For an
isotropic material, we have only two independent elastic constants K and G,
known as Lame’s constants and the generalized Hook’s law gives the
following stress –strain relations.
1x x y zE
(3.25)
1y y x zE
(3.26)
50
1z z x yE (3.27)
xy
xy G
(3.28)
yz
yz G
(3.29)
xz
xz G
(3.30)
The governing equations in elastic and plastic range are obtained
based on non-isothermal formulations as given below (Murthy et al 1996):
(a) For elastic range: The stress strain relations for thermo-elastic
analysis
eD (3.31)
0D T T (3.32)
The incremental form of the equation (3.32), considering
small deformation in the elastic range is given by
0ed D d dT T T d dD
(3.33)
where [dD] is the change in material matrix corresponding to a
change in temperature ΔT in time increment Δt.
(b) For plastic range: The stress – strain relation for thermo-
elasto-plastic analysis is given by
0p pD D T T (3.34)
51
where the additional term p is the plastic strain.
The incremental form of equation (3.34) considering small
deformations in the plastic range, is given by
0p ed D d dT T T d d dD (3.35)
The thermal elasto-plastic model, based on von Mises yield
criterion with the associated flow rule and the multi-linear kinematic
hardening is considered in determining the stresses.
3.4.2 Boundary Conditions Figure 3.3 shows the mechanical boundary conditions employed
while developing the finite element model.
Figure 3.3 Mechanical boundary conditions
The degrees of freedom of the work piece arrested in x, y and z
directions are shown in Figure 3.3 by triangles. The axial load acting on the
FSW tool is transferred to the weld specimen in addition to the thermal load.
52
3.5 FINITE ELEMENT MODEL
This investigation develops a non-linear three dimensional thermo-
mechanical model to estimate the thermal history and residual stresses of the
butt-welded joint using the finite element code ANSYS. This model employs
three dimensional eight noded brick elements (SOLID70 and SOLID45) for
both thermal and stress analysis (ANSYS user manual). Symmetry along the
weld line is assumed in the numerical modeling, so one half of the welded
plate is taken for analysis to expedite the model run time.
3.5.1 Defining Material Properties
The base metal is aluminium alloy AA2014-T6. The material
properties that have to be included when temperature simulation is to be
performed are specific heat, heat conductivity and density. It is reported that
the transient temperature in a welded plate is significantly affected by the
value chosen for the thermal conductivity (Little and Kamtekar 1998). The
conductivity is usually temperature dependent. The specific heat for most
welding materials is strongly temperature dependent. Since the material
density is little affected by temperature field (Zhu et al 2002), a constant value
of material density is enough for simulation process. The temperature
dependency of the yield stress must be considered in a welding process
simulation, to improve the accuracy of results.
Young’s modulus and the thermal expansion co-efficient have little
effects on the residual stress and distortion respectively in welding
deformation simulation. It is found that the numerical results obtained by
using the room temperature value of Young’s modulus are much better than
those using average value over temperature history (Zhu et al 2002). The
Poisson’s ratio has been assumed to be constant, since its influence is usually
53
not significant (Tekriwal and Mazumdar 1988). Temperature dependent
thermal and mechanical properties of the material included in the model are
illustrated in Figures 3. 4 and 3.5.
0
200
400
600
800
1000
1200
0 100 200 300 400 500 600 700
Temperature, K
Thermal conductivity (W/m K)
Specific Heat ( J/kg K)
Figure 3.4 Thermal properties of aluminium alloy AA2014-T6
0
100
200
300
400
500
0 0.002 0.004 0.006 0.008
Strain
Stre
ss, M
Pa
303 K
366 K
422 K
477 K
533 K
588 K
Figure 3.5 Stress-strain curves of aluminium alloy AA2014-T6
54
3.5.2 Meshing Scheme and Time Step
Once the material properties are defined, the next step in an
analysis is generating a finite element model that adequately describes the
model geometry. There are two methods to create the finite element model:
solid modeling and direct generation. With solid modeling, once the
geometric shape of the model is described, then the FEA code automatically
meshes the geometry with nodes and elements. Size and shape of the elements
that the program creates can be controlled by the user.
Before meshing the model, and even before building the model, it is
important to consider about whether a free mesh or a mapped mesh is
appropriate for the analysis. A free mesh has no restrictions in terms of
element shapes, and has no specified pattern applied to it. Compared to a free
mesh, a mapped mesh is restricted in terms of the element shape it contains
and the pattern of the mesh. A mapped area mesh contains either only
quadrilateral or only triangular elements, while a mapped volume mesh
contains only hexahedron elements. In addition, a mapped mesh typically has
a regular pattern, with obvious rows of elements. To use mapped meshing, the
geometry has to be built as a series of fairly regular volumes that can accept a
mapped mesh. In the current FE model mapped volume mesh is used. Fine
mesh along the weld line and coarse mesh away from the weld line was used
in the simulation model to reduce computational time (Figure 3.6).
The element selected for the 3D transient thermal analysis is
SOLID70 a eight noded tetrahedral thermal solid. Solid70 which is a three
dimensional thermal solid, is used as the element type for analysis. Solid70
has a three-dimensional thermal conduction capability. The element has eight
nodes with single degree of freedom, temperature, at each node.
55
Figure 3.6 Discretisation of the weld specimen
The element is applicable to a three-dimensional, steady-state or
transient thermal analysis. The element also can compensate for mass
transport heat flow from a constant velocity filed. If the model containing the
conducting solid element is also be analysed structurally, the element should
be replaced by an equivalent structural element such as SOLID45. The
element is defined by eight nodes and the orthotropic material properties.
Orthotropic material directions correspond to the element coordinate
directions. Specific heat and density are ignored for steady state solutions.
Convection or heat flux (but not both) and radiation may be input as surface
loads at the element faces as shown by the circled numbers in Figure 3.7.
(ANSYS user manual) Heat generation rates may be input as element body
loads at the nodes. Convection heat flux is positive out of element; applied
heat flux is positive into the system.
Consider the heat conduction equation (3.1). For isotropic material
with time independent thermal conductivity, no internal heat generation, and
heat transfer in one dimension the equation reduces to
xT x RCt t
(3.36)
56
Figure 3.7 Details of eight noded tetrahedral solid element
For the same change in temperature, equation (3.36) can be used to
estimate the relationship between the spatial and time increments as
2Xt
(3.37)
where diffusivity is given by
kC
Utilising the data for aluminium alloy AA2014 at 400 K,
k =155 W/m K, ρ = 2800 kg/m3, C = 880 J/kg K, the thermal diffusivity
κ = 6.2910-5 m2/s. Taking a characteristic mesh size of 2 mm, the estimate of
57
the time step is 0.07 s. Therefore, for a characteristic mesh size of 2 mm, a
time step of about 0.07 s will be sufficient to properly capture the temporal
thermal variations in the model. Convergence studies utilizing the 2 mm mesh
also confirmed a time step of 0.1 s yields numerically acceptable results. But
analysis using a time step of 0.1 s proved too time consuming, a time step of
0.5 s was used.
3.5.3 Applying Loads
The word loads as used in ANSYS includes boundary conditions
(constraints, supports or boundary field specifications) as well as other
externally and internally applied loads. Loads in the ANSYS program are
divided into six categories: DOF constraints, forces, surface loads, body
loads, inertia loads and coupled-field loads
Most loads of these can be applied either on the solid model (on
keypoints, lines and areas) or on the finite element model (on nodes and
elements). For example, forces can be applied at a keypoint or a node.
Similarly, convections (and other surface loads) can be specified on lines and
areas or on nodes and element faces. No matter how the loads are specified,
the solver expects all loads to be in terms of the finite element model.
Therefore, if loads are specified on the solid model, the program
automatically transfers them to the nodes and elements at the beginning of
solution.
3.5.4 Stepped Load versus Ramped Load Step
When more than one substep in a load step is specified, the
question of whether the loads should be stepped or ramped arises. If a load is
stepped, then its full value is applied at the first substep and stays constant for
58
the rest of the load step, as shown in Figure 3.8(a). If the load is ramped, then
its value increases gradually at each substep, with the full value occurring at
the end of the load step as shown in the Figure 3.8(b). In this study, stepped
load step option is used while applying thermal and mechanical loads to
closely simulate the loading.
(a) (b)
Figure 3.8 Loading a) Stepped b) Ramped
3.6 METHODOLOGY
In this present work non-linear equations are solved, including
temperature-dependent thermal properties with all complexity related to their
solutions. This assumption is made observing that the temperature changes
(gradients) encountered in the heat-affected-zone is so large that the change of
thermal properties could not be neglected. To determine temperatures and
other thermal quantities that vary over time there is the need to perform a
transient thermal analysis. Implicit method of time discretisation is employed
which allows for larger time steps.
59
Using the finite element analysis the thermal and stress analysis are
uncoupled while in reality thermal effect and mechanical deformation occur at
the same time. The de-coupling of the analyses becomes acceptable if one
assumes that dimensional changes (mechanical deformation) during welding
process are negligible and the dimensional changes due to thermal energy are
predominant over mechanical work done during welding. Therefore to
evaluate the stresses, thermal analysis is performed first in order to find nodal
temperatures as a function of time. Once temperature history is predicted for
each node, nodal temperature loads are applied to the structural model. The
plate absorbs a major portion of the heat generated. There are losses from the
surfaces in the form of convection. The radiation effect is neglected because
of the low melting point of aluminium. The load applied is considered as
stepped.
A moving cylindrical coordinate system is used to move the heat
source. Instead of moving source continuously, it is moved in steps, that is,
heat is applied at each successive point one after the other chronologically. By
making the distance between successive points very small, a close
approximation to the continuous movement can be achieved. In the current
model an incremental distance of 0.5, 1, 2 mm is assumed. The distance
between the centers of the overlapping circles is 2 mm. the coordinate system
is moved after each load step. At every load step a set of elements in the
shape of the tool are selected and the calculated heat flux is applied on the
surface of the elements. A time step of 0.5 s is used. APDL (ANSYS
parametric design language) is used to write a subroutine for a looping
transient moving heat source model. The ADPL programs for thermal and
stress analysis are given in Appendix 1 and 2.
60
3.7 SUMMARY
A detailed non linear thermo-mechanical finite element model has
been developed to study the thermal history and stress distribution in FSW of
aluminium alloy 2014-T6. Nine welding cases with three tool rotations of
355, 710 and 1120 rpm and three weld speeds of 30, 60 and 120 mm/min
have been considered for simulation. The following points are summerised
from the analysis.
1. Thermal model is useful to predict the temperature under the
tool shoulder in FSW which could not be predicted
experimentally.
2. For the nine welding cases, the simulated maximum
temperature at weld zone is less than the melting point of the
material aluminium alloy AA2014-T6. The difference of the
maximum temperatures at the same location (i.e., weld center)
is less than 170 K for the entire set of parameters considered.
3. Using 3D thermo-mechanical model, the stress fields in the
welded plates are simulated to find the nature of distribution.
The effect of simulation fixture release after welding is
included in the model. The longitudinal stress perpendicular to
the weld direction is predicted.
Results of this model will provide prior knowledge about residual
stress contours along with thermal history in order to design stress relief
techniques, while designing FSW based aluminium alloy structures.