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Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121
www.ijera.com 117 | P a g e
Study of Simulated Temperature of Butt Joint during Friction
Stir Welding Of Aluminium Alloy by Using Hyperworks
Mohd Anees Siddiqui, S.A.H. Jafri, Shahnawaz Alam
Department of Mechanical Engineering, Integral University Lucknow, INDIA
Abstract
Friction stir welding (FSW) is one of the latest welding technology that utilizes a special tool for generation of
frictional heat in the work piece by its rotation due to which joining occurs without melting of metal. For this
reason friction stir welding lies under the category of solid state joining. A part from experimental work, there is
large space to work on simulation of FSW by using simulation tools. In the present paper, simulation of friction
stir welding of aluminium alloy AA-6061 is done by using HyperWeld module of Altair HyperWorks. The
virtual experiment of friction stir welding is conducted for variable tool rotational speeds with constant
travelling speed and study of simulation results of variation in temperature distribution along the weld line of
butt joint is done. The results of simulation shows that the temperature is symmetrically distributed along the
weld line. It is observed that the maximum temperature along the weld line increases with the increase in
rotational speed. It is also observed that the temperature at advancing side is greater that retreating side.
Keywords—Friction stir welding, Temperature distribution, HyperWeld.
I. INTRODUCTION
In case of FSW, a cylindrical shouldered tool
with a pin is rotated and plunged into the joint edges
of metal plates which are clamped to prevent
vibrations and separation. Frictional heat between the
tool and the work pieces causes softening without
melting which allows the tool to traverse along the
weld line. The stirring action is performed by tool
pin. On cooling, a solid state joint is created between
the work pieces. FSW is considered to be the most
significant invention in metal joining and it is
considered as green technology because it is energy
efficient, environment friendly, and versatile. As
compared to the conventional welding methods, FSW
consumes comparatively less energy [2].
Fig.1 The Principle of friction stir welding [1]
Many experiment based researches has been
carried out in this technique for joining of similar and
dissimilar aluminium alloys. Welding of steel and
other similar alloys is still a challenge in this area. A
part from experimental work for study of friction stir
welding, there is large space to work on simulation
and virtual experimentation of friction stir welding
process by finite element method with utilization of
available simulation tools such as Ansys, LS-Dyna,
Abaqus, Forge, Comsol and HyperWorks. Generally
this technique is adopted by scholars before
experiment because it saves both cost and time as
simulation tools creates a virtual environment for
experiment. HyperWeld FSW module of
Manufacturing Solutions, Altair HyperWorks
provides an interface for performing virtual welding
that contains options to create finite element model
which is solved by HyperXtrude solver [10].
II. LITERATURE REVIEW
R.S.Mishra & Z.Y.Ma [2] studied mechanisms
involved in formation of friction stir welds including
microstructural refinement and effects of different
parameters on resultant microstructure & mechanical
properties. They provided information regarding
friction stir welding of aluminium alloys. Prasanna
et.al. [3] worked on finite element modeling for
maximum temperature in friction stir welding and its
validation. They studied maximum temperature
developed in 304L stainless steel by using ansys.
Santhosh and Mahamad [4] worked on thermo
mechanical modeling and experimental evaluation of
friction stir welds of aluminium AA6061 alloy. They
used altair hyperworks to evaluate the important
physical aspects of FSW and compared their
simulation with experimental results. Abdul Arif,
et.al, [5] worked on finite element modelling for
validation of maximum temperature in friction stir
welding of aluminium alloy. The developed finite
element model and validated it by comparing the
results with obtained by Feng et al. aluminium alloy.
K.D. Bhatt et.al., [6] worked on effect of size of tool
RESEARCH ARTICLE OPEN ACCESS
Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121
www.ijera.com 118 | P a g e
on peak temperature & viscosity during friction stir
welding of AA6061-T6 aluminium alloy using
hyperworks. They found that variations in
dimensions of tools along with tool rotational speed,
tool traverse speed by keeping the geometry same
have effects on temperature history & viscosity
developed during friction stir welding of the
aluminium alloy. Jaimin B. Patel & H. S. Patil, [7]
worked on simulation of peak temperature & flow
stress during FSW of aluminium alloy AA6061 for
various tool pin profiles. They modeled FSW tool
with four pin profiles and found that hexagonal
profiled pin gives better flow of material with least
resistance as compared to other pin profiles.
Armansyah et.al. [8] worked on temperature
distribution in friction stir welding using finite
element method by using hyperworks. They analysed
heat affected zone and found that the peak
temperature of FSW appeared in rear of the
advancing side. Binnur Gören Kiral et.al. [9] worked
on finite element modeling of friction stir welding in
aluminum alloys joint. They performed transient
thermal finite element analyses are in order to obtain
the temperature distribution in the welded aluminium
plate during FSW. They analysed temperature
distribution by using ansys and hyperxtrude.
The objective of the present work is to simulate
and study temperature distribution during the FSW of
Aluminium alloy AA-6061. The HyperWeld (FSW)
module of Altair HyperWorks is used for conducting
simulation and results are obtained for different
rotational speeds of tool. The virtual experiment of
FSW is conducted for seven different tool rotational
speeds from 600 rpm to 900 rpm with step of 50 rpm
keeping transverse speed of tool constant at 2.5mm/s
and temperature distribution is analysed.
III. MATERIAL SELECTION
The material for workpiece and tool are selected
with reference to the available literature for valid
combinations. In the present work, two plates of
aluminium alloy AA-6061 size 300mm×200mm×3.
1mm is selected. The properties of AA-6061 are
shown in Table I. Friction stir welding tool is
considered of hot die steel H-13. The shoulder
diameter, shoulder length, pin diameter and pin
length 16mm, 150mm, 4mm & 2.79mm respectively
are shown in figure 2.
TABLE I. PHYSICAL & THERMAL PROPERTIES
OF AA-6061
Property Values
Density 2.7g/cm3
Melting Point 582-652ºC
Modulus of Elasticity 68.9GPa
Poisons Ratio 0.33
Thermal Conductivity 167 W/m-k
Specific Heat Capacity 0.869J/g ºC
IV. FINITE ELEMENT MODELING
Finite element modelling is performed by
HyperWeld (FSW) friction stir welding module of
Altair HyperWorks. A three dimensional finite
element model for butt joint of aluminium plates was
developed and solved using HyperXtrude solver [8].
A. Modelling inputs
Modelling input includes geometric, process,
material parameters that are provided for the analysis
during the friction stir welding.
B. Geometric input parameter
Details of workpiece & tool are required to input
during butt joint modelling which includes length,
width and thickness of the plate and pin diameter, pin
height, shoulder diameter, shoulder height for the tool
geometry.
C. Process input parameter
Process input parameter to be considered in a
friction stir welding are as follows :
 Temperature of workpiece (Degree Celsius)
 Tool feed rate (mm/s)
 Tool rotational speed (RPM)
 Coefficient of friction between tool and work
piece
 Top and bottom surface heat losses
D. Workpiece and tool properties
For the purpose of accurate prediction and
simulation of temperature distribution, it is required
to input correct and reliable data with reference to
previous published literature. Material properties
related to heat transfer and deformation are defined.
The material properties commonly used for heat
transfer modelling are the thermal conductivity, heat
capacity, and emissivity of the work piece and tool
materials which are defined as a function of
temperature.
E. Boundary Conditions
The thermal and mechanical boundary conditions
that are applied are as follows:
 Tool and work piece interface conditions
 Coefficient friction (μ)
 Thermal boundary conditions
Fig.2 Tool & workpiece information input in
HyperWeld.
Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121
www.ijera.com 119 | P a g e
Fig.3 Isometric view of finite element model for
FSW process displayed in main graphic area.
Fig.4 Isometric view of finite element model for
FSW process with loaded simulation results of
temperature distribution along the weld line
displayed in main graphic area.
V. RESULTS & DISCUSSIONS
In case of friction stir welding FSW, joining
occurs due to frictional heating effect between
rotating tool and work piece. In the present work,
simulation of finite element model is performed to
study the effect of different tool rotation speeds on
maximum temperature along the weld line in friction
stir welding of AA-6061 aluminium alloy plates. The
virtual experiment is carried out for tool rotational
speeds from 600 rpm to 900 rpm with step of 50 rpm
keeping the transverse speed of tool constant at
2.5mm/s. The contour plot of temperature
distribution along the weld line for different
rotational speeds are shown in figure 5-11.
Fig.5 Temperature distribution for rotational speed
600rpm
Fig.6 Temperature distribution for rotational speed
650rpm
Fig.7 Temperature distribution for rotational speed
700rpm
Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121
www.ijera.com 120 | P a g e
Fig.8 Temperature distribution for rotational speed
750rpm
Fig.9 Temperature distribution for rotational speed
800rpm
Fig.10 Temperature distribution for rotational speed
850rpm
Fig.11 Temperature distribution for rotational speed
900rpm
TABLE II. MAXIMUM TEMPERATURE VALUES
FOR DIFFERENT TOOL ROTATIONAL SPEEDS
AT CONSTANT TRANSVERSE SPEED OF TOOL
(2.5mm/s)
S.No Tool rotation speed
RPM
Maximum Temperature
ºC
1 600 441.43
2 650 457.18
3 700 472.19
4 750 484.19
5 800 497.85
6 850 510.93
7 900 523.70
Fig.12 Graphical representation of variation of
maximum temperature with respect to increase in tool
rotational speed.
Fig. 13 Cross-sectional view of simulated finite
element model showing maximum temperature at
tool advancing side.
As shown in Fig.13 the temperature can be
obtained for tool advancing side and tool retreating
Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121
www.ijera.com 121 | P a g e
side. It is observed that the temperature at advancing
side is more that retreating side. This fact is also
revealed by several authors in previous literatures.
VI. CONCLUSION
Friction stir welding process conducted on
HyperWeld module of Altair HyperWorks simulation
tool creates a new platform for virtual experiments
which can performed by providing appropriate data
and several results can be obtained as per the need of
research. This technique can be used for prediction of
temperature distribution along the weld line where
the tool moves with a rotational velocity. In the
present study, simulated temperature of butt joint
during friction stir welding of aluminium alloy AA-
6061 is by using HyperWeld. The virtual experiment
is performed for seven different tool rotational speeds
from 600 rev/min to 900 rev/min with step of 50
rev/min keeping the transverse speed of tool constant
at 2.5mm/s. It is observed that the maximum
temperature along the weld line of the welding plates
is symmetrical and it increases with the increase in
rotational speed. It is also observed that the
temperature at advancing side is more that retreating
side.
REFERENCES
[1] N. T. Kumbhar, and K. Bhanumurthy,
“Friction Stir Welding of Al 6061 Alloy,”
Asian J. Exp. Sci., vol.22, pp. 63-74, 2008
[2] R.S. Mishra, Z.Y. Ma, I. Charit,
Mater.Sci.Eng. A 341 (2003) 307.
[3]. P.Prasanna et. al., “Finite element modeling
for maximum temperature in friction stir
welding and its validation” ; Int J Adv
Manuf Technol; 2010.
[4] Santhosh & Mahamad Mudabir [9],
“Thermomechanical Modelling and
Experimental Evaluation of Friction Stir
Welds of Aluminium AA6061 Alloy”,
International Journal of Engineering
Research & Technology, Vol. 2 Issue 8.
[5] Abdul Arif, et.al, “Finite Element Modelling
for Validation of Maximum Temperature in
Friction Stir Welding of Aluminium Alloy”,
3rd International Conference on Production
and Industrial Engineering, CPIE- 2013, At
NIT, Jalandhar, Punjab.
[6] K.D. Bhatt et.al., "Effect Of Size Of Tool On
Peak Temperature & Viscosity During
Friction Stir Welding Of AA6061-T6
Aluminium Alloy Using Hyperworks",
International Journal of Innovative Research
in Science, Engineering and Technology,
Vol. 2, Issue 4, April 2013.
[7] Jaimin B. Patel & H. S. Patil, "Simulation of
Peak Temperature & Flow Stress during
FSW of Aluminium Alloy AA6061 for
Various Tool Pin Profiles", International
Journal of Materials Science and
Engineering Vol. 2, No. 1 June 2014.
[8] Armansyah et.al, "Temperature
Distribution in Friction Stir Welding Using
Finite Element Method", World Academy of
Science, Engineering and Technology,
International Journal of Mechanical,
Aerospace, Industrial and Mechatronics
Engineering Vol:8 No:10, 2014.
[9] Binnur Gören Kıral et.al., " Finite element
modeling of friction stir welding in
aluminum alloys joint", Mathematical and
Computational Applications, Vol. 18, No. 2,
2013.
[10] Manufacturing Solution 11.0 Tutorials,
HyperWeld, HyperWorks, Altair
Engineering.

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Study of Simulated Temperature of Butt Joint during Friction Stir Welding Of Aluminium Alloy by Using Hyperworks

  • 1. Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121 www.ijera.com 117 | P a g e Study of Simulated Temperature of Butt Joint during Friction Stir Welding Of Aluminium Alloy by Using Hyperworks Mohd Anees Siddiqui, S.A.H. Jafri, Shahnawaz Alam Department of Mechanical Engineering, Integral University Lucknow, INDIA Abstract Friction stir welding (FSW) is one of the latest welding technology that utilizes a special tool for generation of frictional heat in the work piece by its rotation due to which joining occurs without melting of metal. For this reason friction stir welding lies under the category of solid state joining. A part from experimental work, there is large space to work on simulation of FSW by using simulation tools. In the present paper, simulation of friction stir welding of aluminium alloy AA-6061 is done by using HyperWeld module of Altair HyperWorks. The virtual experiment of friction stir welding is conducted for variable tool rotational speeds with constant travelling speed and study of simulation results of variation in temperature distribution along the weld line of butt joint is done. The results of simulation shows that the temperature is symmetrically distributed along the weld line. It is observed that the maximum temperature along the weld line increases with the increase in rotational speed. It is also observed that the temperature at advancing side is greater that retreating side. Keywords—Friction stir welding, Temperature distribution, HyperWeld. I. INTRODUCTION In case of FSW, a cylindrical shouldered tool with a pin is rotated and plunged into the joint edges of metal plates which are clamped to prevent vibrations and separation. Frictional heat between the tool and the work pieces causes softening without melting which allows the tool to traverse along the weld line. The stirring action is performed by tool pin. On cooling, a solid state joint is created between the work pieces. FSW is considered to be the most significant invention in metal joining and it is considered as green technology because it is energy efficient, environment friendly, and versatile. As compared to the conventional welding methods, FSW consumes comparatively less energy [2]. Fig.1 The Principle of friction stir welding [1] Many experiment based researches has been carried out in this technique for joining of similar and dissimilar aluminium alloys. Welding of steel and other similar alloys is still a challenge in this area. A part from experimental work for study of friction stir welding, there is large space to work on simulation and virtual experimentation of friction stir welding process by finite element method with utilization of available simulation tools such as Ansys, LS-Dyna, Abaqus, Forge, Comsol and HyperWorks. Generally this technique is adopted by scholars before experiment because it saves both cost and time as simulation tools creates a virtual environment for experiment. HyperWeld FSW module of Manufacturing Solutions, Altair HyperWorks provides an interface for performing virtual welding that contains options to create finite element model which is solved by HyperXtrude solver [10]. II. LITERATURE REVIEW R.S.Mishra & Z.Y.Ma [2] studied mechanisms involved in formation of friction stir welds including microstructural refinement and effects of different parameters on resultant microstructure & mechanical properties. They provided information regarding friction stir welding of aluminium alloys. Prasanna et.al. [3] worked on finite element modeling for maximum temperature in friction stir welding and its validation. They studied maximum temperature developed in 304L stainless steel by using ansys. Santhosh and Mahamad [4] worked on thermo mechanical modeling and experimental evaluation of friction stir welds of aluminium AA6061 alloy. They used altair hyperworks to evaluate the important physical aspects of FSW and compared their simulation with experimental results. Abdul Arif, et.al, [5] worked on finite element modelling for validation of maximum temperature in friction stir welding of aluminium alloy. The developed finite element model and validated it by comparing the results with obtained by Feng et al. aluminium alloy. K.D. Bhatt et.al., [6] worked on effect of size of tool RESEARCH ARTICLE OPEN ACCESS
  • 2. Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121 www.ijera.com 118 | P a g e on peak temperature & viscosity during friction stir welding of AA6061-T6 aluminium alloy using hyperworks. They found that variations in dimensions of tools along with tool rotational speed, tool traverse speed by keeping the geometry same have effects on temperature history & viscosity developed during friction stir welding of the aluminium alloy. Jaimin B. Patel & H. S. Patil, [7] worked on simulation of peak temperature & flow stress during FSW of aluminium alloy AA6061 for various tool pin profiles. They modeled FSW tool with four pin profiles and found that hexagonal profiled pin gives better flow of material with least resistance as compared to other pin profiles. Armansyah et.al. [8] worked on temperature distribution in friction stir welding using finite element method by using hyperworks. They analysed heat affected zone and found that the peak temperature of FSW appeared in rear of the advancing side. Binnur Gören Kiral et.al. [9] worked on finite element modeling of friction stir welding in aluminum alloys joint. They performed transient thermal finite element analyses are in order to obtain the temperature distribution in the welded aluminium plate during FSW. They analysed temperature distribution by using ansys and hyperxtrude. The objective of the present work is to simulate and study temperature distribution during the FSW of Aluminium alloy AA-6061. The HyperWeld (FSW) module of Altair HyperWorks is used for conducting simulation and results are obtained for different rotational speeds of tool. The virtual experiment of FSW is conducted for seven different tool rotational speeds from 600 rpm to 900 rpm with step of 50 rpm keeping transverse speed of tool constant at 2.5mm/s and temperature distribution is analysed. III. MATERIAL SELECTION The material for workpiece and tool are selected with reference to the available literature for valid combinations. In the present work, two plates of aluminium alloy AA-6061 size 300mm×200mm×3. 1mm is selected. The properties of AA-6061 are shown in Table I. Friction stir welding tool is considered of hot die steel H-13. The shoulder diameter, shoulder length, pin diameter and pin length 16mm, 150mm, 4mm & 2.79mm respectively are shown in figure 2. TABLE I. PHYSICAL & THERMAL PROPERTIES OF AA-6061 Property Values Density 2.7g/cm3 Melting Point 582-652ºC Modulus of Elasticity 68.9GPa Poisons Ratio 0.33 Thermal Conductivity 167 W/m-k Specific Heat Capacity 0.869J/g ºC IV. FINITE ELEMENT MODELING Finite element modelling is performed by HyperWeld (FSW) friction stir welding module of Altair HyperWorks. A three dimensional finite element model for butt joint of aluminium plates was developed and solved using HyperXtrude solver [8]. A. Modelling inputs Modelling input includes geometric, process, material parameters that are provided for the analysis during the friction stir welding. B. Geometric input parameter Details of workpiece & tool are required to input during butt joint modelling which includes length, width and thickness of the plate and pin diameter, pin height, shoulder diameter, shoulder height for the tool geometry. C. Process input parameter Process input parameter to be considered in a friction stir welding are as follows :  Temperature of workpiece (Degree Celsius)  Tool feed rate (mm/s)  Tool rotational speed (RPM)  Coefficient of friction between tool and work piece  Top and bottom surface heat losses D. Workpiece and tool properties For the purpose of accurate prediction and simulation of temperature distribution, it is required to input correct and reliable data with reference to previous published literature. Material properties related to heat transfer and deformation are defined. The material properties commonly used for heat transfer modelling are the thermal conductivity, heat capacity, and emissivity of the work piece and tool materials which are defined as a function of temperature. E. Boundary Conditions The thermal and mechanical boundary conditions that are applied are as follows:  Tool and work piece interface conditions  Coefficient friction (μ)  Thermal boundary conditions Fig.2 Tool & workpiece information input in HyperWeld.
  • 3. Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121 www.ijera.com 119 | P a g e Fig.3 Isometric view of finite element model for FSW process displayed in main graphic area. Fig.4 Isometric view of finite element model for FSW process with loaded simulation results of temperature distribution along the weld line displayed in main graphic area. V. RESULTS & DISCUSSIONS In case of friction stir welding FSW, joining occurs due to frictional heating effect between rotating tool and work piece. In the present work, simulation of finite element model is performed to study the effect of different tool rotation speeds on maximum temperature along the weld line in friction stir welding of AA-6061 aluminium alloy plates. The virtual experiment is carried out for tool rotational speeds from 600 rpm to 900 rpm with step of 50 rpm keeping the transverse speed of tool constant at 2.5mm/s. The contour plot of temperature distribution along the weld line for different rotational speeds are shown in figure 5-11. Fig.5 Temperature distribution for rotational speed 600rpm Fig.6 Temperature distribution for rotational speed 650rpm Fig.7 Temperature distribution for rotational speed 700rpm
  • 4. Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121 www.ijera.com 120 | P a g e Fig.8 Temperature distribution for rotational speed 750rpm Fig.9 Temperature distribution for rotational speed 800rpm Fig.10 Temperature distribution for rotational speed 850rpm Fig.11 Temperature distribution for rotational speed 900rpm TABLE II. MAXIMUM TEMPERATURE VALUES FOR DIFFERENT TOOL ROTATIONAL SPEEDS AT CONSTANT TRANSVERSE SPEED OF TOOL (2.5mm/s) S.No Tool rotation speed RPM Maximum Temperature ºC 1 600 441.43 2 650 457.18 3 700 472.19 4 750 484.19 5 800 497.85 6 850 510.93 7 900 523.70 Fig.12 Graphical representation of variation of maximum temperature with respect to increase in tool rotational speed. Fig. 13 Cross-sectional view of simulated finite element model showing maximum temperature at tool advancing side. As shown in Fig.13 the temperature can be obtained for tool advancing side and tool retreating
  • 5. Mohd Anees Siddiqui et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1( Part 2), January 2015, pp.117-121 www.ijera.com 121 | P a g e side. It is observed that the temperature at advancing side is more that retreating side. This fact is also revealed by several authors in previous literatures. VI. CONCLUSION Friction stir welding process conducted on HyperWeld module of Altair HyperWorks simulation tool creates a new platform for virtual experiments which can performed by providing appropriate data and several results can be obtained as per the need of research. This technique can be used for prediction of temperature distribution along the weld line where the tool moves with a rotational velocity. In the present study, simulated temperature of butt joint during friction stir welding of aluminium alloy AA- 6061 is by using HyperWeld. The virtual experiment is performed for seven different tool rotational speeds from 600 rev/min to 900 rev/min with step of 50 rev/min keeping the transverse speed of tool constant at 2.5mm/s. It is observed that the maximum temperature along the weld line of the welding plates is symmetrical and it increases with the increase in rotational speed. It is also observed that the temperature at advancing side is more that retreating side. REFERENCES [1] N. T. Kumbhar, and K. Bhanumurthy, “Friction Stir Welding of Al 6061 Alloy,” Asian J. Exp. Sci., vol.22, pp. 63-74, 2008 [2] R.S. Mishra, Z.Y. Ma, I. Charit, Mater.Sci.Eng. A 341 (2003) 307. [3]. P.Prasanna et. al., “Finite element modeling for maximum temperature in friction stir welding and its validation” ; Int J Adv Manuf Technol; 2010. [4] Santhosh & Mahamad Mudabir [9], “Thermomechanical Modelling and Experimental Evaluation of Friction Stir Welds of Aluminium AA6061 Alloy”, International Journal of Engineering Research & Technology, Vol. 2 Issue 8. [5] Abdul Arif, et.al, “Finite Element Modelling for Validation of Maximum Temperature in Friction Stir Welding of Aluminium Alloy”, 3rd International Conference on Production and Industrial Engineering, CPIE- 2013, At NIT, Jalandhar, Punjab. [6] K.D. Bhatt et.al., "Effect Of Size Of Tool On Peak Temperature & Viscosity During Friction Stir Welding Of AA6061-T6 Aluminium Alloy Using Hyperworks", International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, Issue 4, April 2013. [7] Jaimin B. Patel & H. S. Patil, "Simulation of Peak Temperature & Flow Stress during FSW of Aluminium Alloy AA6061 for Various Tool Pin Profiles", International Journal of Materials Science and Engineering Vol. 2, No. 1 June 2014. [8] Armansyah et.al, "Temperature Distribution in Friction Stir Welding Using Finite Element Method", World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering Vol:8 No:10, 2014. [9] Binnur Gören Kıral et.al., " Finite element modeling of friction stir welding in aluminum alloys joint", Mathematical and Computational Applications, Vol. 18, No. 2, 2013. [10] Manufacturing Solution 11.0 Tutorials, HyperWeld, HyperWorks, Altair Engineering.