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International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 134
Numerical Analysis on the effect of welding parameters in TIG
welding for INCONEL 625 alloy
D. Venkata Krishna1
, E. Mahesh2
, G. Kiran3
, G. Sai Suchethan4
, G. Chandra Mouli5
1
Assistant Professor, Dept. Of Mechanical Engineering, SVCET, Chittor.
2,3,4,5
UG Scholars, Dept. Of Mechanical Engineering, SVCET, Chittor.
I. INTRODUCTION
There are number of welding methods available for
welding materials such as shielded metal arc
welding, Gas metal arc welding, Flux cored arc
welding, submerged arc welding, electro slag
welding, electron beam welding, and Gas Tungsten
arc welding methods. The choice of the welding
depends on several factors; primarily among them
are the compositional range of the material to be
welded, the thickness of the base materials and type
of current. Tungsten inert gas (TIG) welding is the
most popular gas shielding arc welding process
used in many industrial fields. Other arc welding
processes have limited quality when they are
compared to TIG welding processes. However, TIG
welding also needs improvements regarding spatter
reduction and weld quality of the bead. Shielding
gas in TIG welding is desirable for protection of
atmospheric contamination. TIG welding process
has the possibility of becoming a new welding
process giving high quality and provides relatively
pollution free.
TIG welding was developed during
1940.TIG’s development came about to help in the
welding of difficult types of material, example
aluminum and magnesium. The use of TIG steels.
Arc welding is a technique to melt and join
different materials that is widely used in the
industry. The gas tungsten arc welding (GTAW)
process is sometimes referred to as TIG, or heliarc.
The term TlG is short for tungsten inert gas
welding. Under the correct welding conditions, the
tungsten electrode does not melt and is considered
to be non consumable. To make a weld, either the
edges of the metal must melt and flow together by
themselves or filler metal must be added directly
into the molten pool. Filler metal is added by
dipping the end of a filler rod into the leading edge
of the molten weld pool. Most metals oxidize
rapidly in their molten state.
To prevent oxidation from occurring, an
inert gas flows out of the welding torch,
RESEARCH ARTICLE OPEN ACCESS
Abstract:
At present scenario, INCONEL alloy 625 becomes widely used material in aero industry due to its High
tensile, creep, and rupture strength, outstanding fatigue and thermal-fatigue strength, oxidation resistance, and
excellent weld ability properties. In present work, the plates of 50mm×50mm×3mm are modelled and assembled
for v-butt joint using solid works. This model is imported in the FEA software (ANSYS) to carry out the transient
thermal analysis. The analysis is carried out with different combinations of welding parameters such as voltage,
current, velocity, speed and melting efficiency. From the analysis result, the temperature distribution at various
locations around the weld bead is evaluated. From structural analysis result, the distortion of work piece due to the
thermal effect is analysed.
Keywords- Transient thermal analysis, Voltage, Current, Steady state thermal analysis.
International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 135
surrounding the hot tungsten and molten weld metal
shielding it from atmospheric oxygen. GTA
welding is efficient for welding metals ranging
from sheet metal up to 1/4 in.
MATERIAL USED FOR PRESENT WORK
At present scenario, INCONEL alloy 625
becomes widely used material in aero industry due
to its High tensile, creep, and rupture strength,
outstanding fatigue and thermal-fatigue strength,
oxidation resistance, and excellent weldability
properties. Service temperatures range from
cryogenic to 1800alloy 625 is derived from the
stiffening effect of molybdenum and niobium on its
nickel-chromium matrix; thus precipitation
hardening treatments are not required.
Table 1: Material Properties used for Analysis
Temperature
(K)
Thermal
conductivity
(W/mK)
Density
(kg/m3)
Specific heat
(J/kgK)
273 9.64 8446 405.5
293 9.8991 8440 410.36
323 10.292 8430.7 417.65
373 10.958 8414.6 429.8
423 11.637 8398.3 441.95
473 12.33 8381.8 454.1
523 13.038 8365.3 466.25
573 13.758 8348.7 478.4
623 14.498 8331.9 490.55
673 15.242 8314.6 502.7
723 16.004 8296.9 514.85
773 16.78 8278.6 527
823 17.57 8259.9 539.15
873 18.374 8211.3 551.3
923 19.191 8162.7 563.45
973 20.022 8111.9 575.6
1023 20.868 8083.8 587.75
1073 21.726 599.9
1123 22.599 612.05
1173 23.486 624.2
1223 24.386 636.35
1273 25.3 648.5
1323 26.228 660.65
1373 27.17 672.8
1423 28.125 684.95
1473 29.095 697.1
1523 30.078 709.25
This combination of elements also is
responsible for superior resistance to a wide range
of corrosive environments of unusual severity as
well as to high-temperature effects such as
oxidation and carburization.
II. LITURATURE
Paulo roberto de freitas teixeira et al [1],
presented he welding process as an thermal-
mechanical-metallurgical coupled issue. In this
study, the accuracy of the Gaussian heat source
model is investigated in bead-on-plate welding by
the TIG process. Analyses are performed by the
ANSYS software, considering the convection and
the radiation phenomena. Several cases with
different parameters of heat distribution, heat input
and plate thickness have had their weld pool
geometries analysed and compared with those
obtained experimentally. Analyses of the influence
of the radial distance from the centre of the
Gaussian heat source and the thickness of the plate
on the bead width and the penetrated depth of the
fusion zone boundary are presented. Results have
shown the adequacy and the limitations of the
Gaussian heat source model in the welding
simulation.
Vishnu V.S et al [2], developed a 3D
thermo-mechanical simulation model to predict
distribution of temperature and residual stresses
during Tungsten Inert Gas (TIG) double-side arc
welding (DSAW) process on a low carbon steel
plate. An uncoupled thermal–mechanical finite
element analysis is performed using ANSYS. In
this study the effects of welding process parameters
(welding speed and welding current) in the
symmetrical and asymmetrical double-side TIG
welding process were investigated. The simulated
results show that the residual stresses are tensile at
the weld pool region and as the distance from the
weld line increase it tends to compressive. Also
found that welding process parameters in welded
structures are the most influential parameter for the
occurrence and control of residual stresses.
International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 136
Vijay Gohel et al [3], presented the variation
of temperature in TIG welded SS 304 plate of 3 mm
work piece thickness. In this work, thermal analysis
with the help of ANSYS workbench carried out for
butt joint stainless steel base metal (SS 304) using
Gas tungsten arc welding (GTAW) process.
Thermo - Mechanical simulation is developed.
Comparison with the temperature measured by the
thermocouples records shows that the results from
the present simulation have good agreement with
the test data.
N.Jeya prakash et al [4], presented the
influence of the power source, type of current, gas
flow rate, electrodes, filer wire, TIG Machines
settings, and shielding gases which are most
important in determine arc stability, arc penetration
and defect free welds. To do this a thorough
literature survey is carried out on various aspects of
the proposed topic, in various peer-reviewed
journals, patents, books and other research
resources. This work have identified the suitable
range of current, the thickness of the base metal, the
diameter of electrode, the composition of electrode
and filler wire, the gas flow rate required for high
quality TIG welding process.
Paulo J.Modnesi et al [5], explicated the Gas
tungsten arc welding is fundamental in those
applications where it is important to control the
bead shape and the metallurgical characteristics.
This process is however of low productivity
particularly in the welding of larger components.
The present work evaluates the use of TIG welding
for austenitic stainless steels with fluxes of only one
major component. The changes in weld geometry
were compared to variations in the electrical signals
from the arc and the arc shape. The effect of the
flux on the weld microstructure was also studied.
PROCESS PARAMETERS OF TIG WELDING
The parameters that affect the quality and
outcome of the TIG welding process are given
below.
Welding current
Higher current in TIG welding can lead to
splatter and work piece become damage. Again
lower current setting in TIG welding lead to
sticking of the filler wire. Sometimes larger heat
affected area can be found for lower welding
current, as high temperatures need to applied for
longer periods of time to deposit the same amount
of filling materials.
Welding voltage
Welding Voltage can be fixed or
adjustable depending on the TIG welding
equipment. A high initial voltage allows for easy
arc initiation and a greater range of working tip
distance. Too high voltage, can lead to large
variable in welding quality.
Welding velocity (or) speed
Welding speed is an important
parameter for TIG welding. If the welding speed is
increased, power or heat input per unit length of
weld is decreases, therefore less weld reinforcement
results and penetration of welding decreases.
Welding speed or travel speed is primarily control
the bead size and penetration of weld.
Shielding gases
The choice of shielding gas is depends
on the working metals and effects on the welding
cost, weld temperature, arc stability, weld speed,
splatter, electrode life etc. it also affects the finished
weld penetration depth and surface profile, porosity,
corrosion resistance, strength, hardness and
brittleness of the weld material .
Melting efficiency
Melting efficiency is one of the more
important measurable parameters in TIG welding
when assessing the performance of a process. It is
well known that a relatively small portion of the net
energy is actually used for melting. The ratio of
International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 137
energy used for melting to that which is delivered to
the substrate defines the melting efficiency.
III. FINITE ELEMENT ANALYIS
A 3D CAD model of butt welded plate is
developed in solid works and it is saved in IGES
format and imported to the ANSYS software as
shown in Figure. The element type in thermal
analysis is PLANE 55. The boundary conditions are
the constraints applied to the workpiece and the
values of various process parameters of the welding
are given to the pre-processor as an input. The
geometrical details of the workpiece are also has to
be detailed in the pre-processor. The element is
applicable for three dimensional, steady-state or
transient thermal analysis. In this analysis, element
PLANE 55 is replaced with by a three-dimensional
(3-D) structural element. The complete work in
ANSYS is carried out on workbench.
Fig.1 Modelling of component
Boundary Conditions
Heat Input=
Actual Heat Input=ŋ
Where, V=Voltage (Volts)
I=Current (Amperes)
U=Weld speed (mm/sec)
ŋ=Melting efficiency
Heat Flux =
Area = 50×3mm2
= 150×10 -6
m
Convection co-efficient of heat transfer
Q = h A ΔT
Q/A= Heat flux, W/m2
h= Convection co-efficient of heat transfer, W/m2K
In present analysis, the convection heat transfer due
to ambient air is considered.
h= Convection co-efficient of heat transfer of air =
10 W/m2
K
Table 1: Boundary conditions for different cases
Case Sub case
V
(volts)
I
(amp)
ŋ
U
(mm/min)
Q
(W/m2
)
1 1-1 10 80 0.8 2 2.13E+06
1-2 10 90 0.8 2 2.40E+06
1-3 10 100 0.8 2 2.67E+06
2 Sub case
V
(volts)
I
(amp)
ŋ
U
(mm/min)
Q
(W/m2
)
2-1 5 90 0.8 2 1.20E+06
2-2 10 90 0.8 2 2.40E+06
2-3 15 90 0.8 2 3.60E+06
3 Sub case
V
(volts)
I
(amp)
ŋ
U
(mm/min)
Q
(W/m2
)
3-1 10 90 0.8 2 2.40E+06
3-2 10 90 0.8 4 1.20E+06
3-3 10 90 0.8 6 8.00E+05
4 Sub case
V
(volts)
I
(amp)
ŋ
U
(mm/min)
Q
(W/m2
)
4-1 10 90 0.6 2 1.80E+06
4-2 10 90 0.7 2 2.10E+06
4-3 10 90 0.8 2 2.40E+06
Fig.2 Three dimensional model and its meshed grids
International Journal of Engineering and Techniques
IV. RESULT AND DISCUSSIONS
Fig.3 Temperature distribution in case 1
Fig.4 Temperature distribution in case 1-
International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep –
Fig.3 Temperature distribution in case 1-1
-2
Fig. 5 Temperature distribution in case
Fig. 6 Temperature vs time for case
From the analysis results for the case
boundary conditions, it is inferred that the
maximum and minimum temperature occurred at
100A and 80A respectively. From this, it is
concluded that the welding current is
parameter.
Fig.7 Temperature vs time for case
From the fig.7, it is inferred that as the
welding voltage increases, the temperature around
weld zone is also increased and it is found to be
1395.7K as maximum temperature at 15V.
– Oct 2016
Fig. 5 Temperature distribution in case 1-3
Fig. 6 Temperature vs time for case-1
From the analysis results for the case-1
boundary conditions, it is inferred that the
maximum and minimum temperature occurred at
100A and 80A respectively. From this, it is
concluded that the welding current is a significant
Fig.7 Temperature vs time for case-2
From the fig.7, it is inferred that as the
welding voltage increases, the temperature around
weld zone is also increased and it is found to be
1395.7K as maximum temperature at 15V.
International Journal of Engineering and Techniques
Fig.8 Temperature vs time for case-3
From the fig.8, it is inferred that as the
welding velocity increases, the temperature around
weld zone decreases and it is found to be 1029.9K
as maximum temperature at 2mm/s.
Fig.9 Temperature vs time for case-4
From the fig.9, it is inferred that as the
welding voltage increases, the temperature around
weld zone is also increased and it is found to be
1029.9K as maximum temperature at ŋ=0.8.
Heat Affected Zone
The heat affected zone is the area of base
metal, which is not melted but its microstructure
and properties are altered by welding operations. In
the present work the heat affected zone is found to
be up to 5mm distance from the centre of the weld
International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep –
From the fig.8, it is inferred that as the
welding velocity increases, the temperature around
weld zone decreases and it is found to be 1029.9K
From the fig.9, it is inferred that as the
welding voltage increases, the temperature around
weld zone is also increased and it is found to be
ŋ=0.8.
The heat affected zone is the area of base
ich is not melted but its microstructure
and properties are altered by welding operations. In
the present work the heat affected zone is found to
to 5mm distance from the centre of the weld
bead. The measured temperatures in heat affected
zone from the ANSYS for case 1 are shown in
fig.10.
Fig.10 Temperature distribution in HAZ for case 1
Fig.11 Temperature distribution in HAZ for case 2
V.CONCLUSION
At present research, the effect of welding
parameters such as welding current, welding
voltage, welding speed, and melting efficiency on
TIG welding are analysed by using finite element
analysis in ANSYS work bench software and the
temperature distributions at various locations from
the centre of the weld zone are analysed. The length
– Oct 2016
bead. The measured temperatures in heat affected
he ANSYS for case 1 are shown in
Fig.10 Temperature distribution in HAZ for case 1
Fig.11 Temperature distribution in HAZ for case 2
At present research, the effect of welding
parameters such as welding current, welding
voltage, welding speed, and melting efficiency on
TIG welding are analysed by using finite element
analysis in ANSYS work bench software and the
ns at various locations from
the centre of the weld zone are analysed. The length
International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 140
of heat affected zone for variations of different
welding parameters is evaluated.
VI REFERENCES
i. Paulo roberto de freitas teixeira et al, “study of the
Gaussian distribution heat source model applied to
numerical thermal simulations of TIG welding
processes”, ciência & engenharia (science & engineering
journal), ISSN 1983-4071 ,2014.
ii. Vishnu V.S et al, “Numerical Analysis of Effect of
Process Parameters on Residual Stress in a Double Side
TIG Welded Low Carbon Steel Plate”, IOSR Journal of
Mechanical and Civil Engineering (IOSR-JMCE), e-
ISSN: 2278-1684, p-ISSN: 2320-334X PP 65-68, 2014.
iii. Vijay Gohel et al,“Thermo-mechanical analysis in TIG
welding of S.S 304” IJEDR, Volume 4, Issue 2, ISSN:
2321-9939,2016.
iv. N.Jeya prakash et al,“ The Parameters and
Equipments used in TIG welding”,The International
Journal of Engineering and Science (IJES), Volume
4, Issue 2, ISSN:2319 -1813,2015.
v. Paulo J. Modnesi, Eustaquio R., Iaci M. Pereira
“TIG welding with single component fluxes”,
Journal of Materials Processing Technology 99
(2000) , P 260- 265,2000.
vi. Ugur Esme, Melih Bayramoglu, Yugut Kazancoglu,
Sueda Ozgun Optimization of weld bead geometry in
TIG welding process using Grey relation analysis
and taguchi method. Original scientific article/Izvirni
znanstveni clanek-2009,P 143-149.
vii. S.C. Juang, Y.S. Tarng Process parameter selection
for optimizing the weld pool geometery in the
tungsten inert gas welding of stainless steel. Journal
of Materiala Processing Technology 122 (2002),P
33-37.
viii. S.Krishnanunni, Dr Josephkunju Paul C., V.
Narayanan Unni Effect of Welding Conditions on
Hardness of Commercially Pure Titanium Akgec
International Journal of technology, vol 3, No-2, P-
19-24.
ix. Raghuvir Singh, Dr. N.M Suri, Prof. Jagjit
Randhawa Optimization of Process Parameters for
TIG welding of 304L stainless steel using Response
Surface Methodology. International Journal of
Mechanical Science & Civil Engineering, Vol 2,
Isssue-2 (June 2013), P 36-40
x. Wenchao Dong, Shanping Lu, Dianzhong Li,Yiyi Li
GTAW liquid pool convections and the weld shape
variations under Helium gas shielding, International
Journal of Heat & Mass Transfer 54 (2001), P 1420-
1431.
xi. Dongjie Li, Shanping Lu, Wenchao Dong,
Dianzhong Li, Yiyi Li Study of the law between the
weld pool shape variations with the welding
parameters under two TIG Processes. Journal of
Materials Processing Technology 212 (2012), P 128-
136
xii. Parikshit Dutta, Dilip Kumar Pratihar Modeling of
TIG welding Process using conventional regression
analysis and neural network-based approaches.
Journal of Materials Processing Technology
184(2007), P 56-68
xiii. Shanping Lu, Hidetoshi Fujii, Kiyoshi Nogia Arc
igniatibility, bead projection and weld shape
variations for He-Ar- shielded GTA welding on
SUS304 stainless steel. Journal of Materials
Processing Technology 209 (2009), P 1231-1239.
xiv. Paulo J. Modnesi, Eustaquio R., Iaci M. Pereira TIG
welding with single component fluxes. Journal of
Materials Processing Technology 99 (2000) , P 260-
265.
xv.Patel. S. Naitik & Patel. B. Rahul, ‘A
Review on Parametric Optimization of Tig Welding’,
International Journal of Computational Engineering
Research. Vol 4. Issue 1.

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[IJET V2I5P19] Authors: D. Venkata Krishna, E. Mahesh, G. Kiran, G. Sai Suchethan, G. Chandra Mouli

  • 1. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 134 Numerical Analysis on the effect of welding parameters in TIG welding for INCONEL 625 alloy D. Venkata Krishna1 , E. Mahesh2 , G. Kiran3 , G. Sai Suchethan4 , G. Chandra Mouli5 1 Assistant Professor, Dept. Of Mechanical Engineering, SVCET, Chittor. 2,3,4,5 UG Scholars, Dept. Of Mechanical Engineering, SVCET, Chittor. I. INTRODUCTION There are number of welding methods available for welding materials such as shielded metal arc welding, Gas metal arc welding, Flux cored arc welding, submerged arc welding, electro slag welding, electron beam welding, and Gas Tungsten arc welding methods. The choice of the welding depends on several factors; primarily among them are the compositional range of the material to be welded, the thickness of the base materials and type of current. Tungsten inert gas (TIG) welding is the most popular gas shielding arc welding process used in many industrial fields. Other arc welding processes have limited quality when they are compared to TIG welding processes. However, TIG welding also needs improvements regarding spatter reduction and weld quality of the bead. Shielding gas in TIG welding is desirable for protection of atmospheric contamination. TIG welding process has the possibility of becoming a new welding process giving high quality and provides relatively pollution free. TIG welding was developed during 1940.TIG’s development came about to help in the welding of difficult types of material, example aluminum and magnesium. The use of TIG steels. Arc welding is a technique to melt and join different materials that is widely used in the industry. The gas tungsten arc welding (GTAW) process is sometimes referred to as TIG, or heliarc. The term TlG is short for tungsten inert gas welding. Under the correct welding conditions, the tungsten electrode does not melt and is considered to be non consumable. To make a weld, either the edges of the metal must melt and flow together by themselves or filler metal must be added directly into the molten pool. Filler metal is added by dipping the end of a filler rod into the leading edge of the molten weld pool. Most metals oxidize rapidly in their molten state. To prevent oxidation from occurring, an inert gas flows out of the welding torch, RESEARCH ARTICLE OPEN ACCESS Abstract: At present scenario, INCONEL alloy 625 becomes widely used material in aero industry due to its High tensile, creep, and rupture strength, outstanding fatigue and thermal-fatigue strength, oxidation resistance, and excellent weld ability properties. In present work, the plates of 50mm×50mm×3mm are modelled and assembled for v-butt joint using solid works. This model is imported in the FEA software (ANSYS) to carry out the transient thermal analysis. The analysis is carried out with different combinations of welding parameters such as voltage, current, velocity, speed and melting efficiency. From the analysis result, the temperature distribution at various locations around the weld bead is evaluated. From structural analysis result, the distortion of work piece due to the thermal effect is analysed. Keywords- Transient thermal analysis, Voltage, Current, Steady state thermal analysis.
  • 2. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 135 surrounding the hot tungsten and molten weld metal shielding it from atmospheric oxygen. GTA welding is efficient for welding metals ranging from sheet metal up to 1/4 in. MATERIAL USED FOR PRESENT WORK At present scenario, INCONEL alloy 625 becomes widely used material in aero industry due to its High tensile, creep, and rupture strength, outstanding fatigue and thermal-fatigue strength, oxidation resistance, and excellent weldability properties. Service temperatures range from cryogenic to 1800alloy 625 is derived from the stiffening effect of molybdenum and niobium on its nickel-chromium matrix; thus precipitation hardening treatments are not required. Table 1: Material Properties used for Analysis Temperature (K) Thermal conductivity (W/mK) Density (kg/m3) Specific heat (J/kgK) 273 9.64 8446 405.5 293 9.8991 8440 410.36 323 10.292 8430.7 417.65 373 10.958 8414.6 429.8 423 11.637 8398.3 441.95 473 12.33 8381.8 454.1 523 13.038 8365.3 466.25 573 13.758 8348.7 478.4 623 14.498 8331.9 490.55 673 15.242 8314.6 502.7 723 16.004 8296.9 514.85 773 16.78 8278.6 527 823 17.57 8259.9 539.15 873 18.374 8211.3 551.3 923 19.191 8162.7 563.45 973 20.022 8111.9 575.6 1023 20.868 8083.8 587.75 1073 21.726 599.9 1123 22.599 612.05 1173 23.486 624.2 1223 24.386 636.35 1273 25.3 648.5 1323 26.228 660.65 1373 27.17 672.8 1423 28.125 684.95 1473 29.095 697.1 1523 30.078 709.25 This combination of elements also is responsible for superior resistance to a wide range of corrosive environments of unusual severity as well as to high-temperature effects such as oxidation and carburization. II. LITURATURE Paulo roberto de freitas teixeira et al [1], presented he welding process as an thermal- mechanical-metallurgical coupled issue. In this study, the accuracy of the Gaussian heat source model is investigated in bead-on-plate welding by the TIG process. Analyses are performed by the ANSYS software, considering the convection and the radiation phenomena. Several cases with different parameters of heat distribution, heat input and plate thickness have had their weld pool geometries analysed and compared with those obtained experimentally. Analyses of the influence of the radial distance from the centre of the Gaussian heat source and the thickness of the plate on the bead width and the penetrated depth of the fusion zone boundary are presented. Results have shown the adequacy and the limitations of the Gaussian heat source model in the welding simulation. Vishnu V.S et al [2], developed a 3D thermo-mechanical simulation model to predict distribution of temperature and residual stresses during Tungsten Inert Gas (TIG) double-side arc welding (DSAW) process on a low carbon steel plate. An uncoupled thermal–mechanical finite element analysis is performed using ANSYS. In this study the effects of welding process parameters (welding speed and welding current) in the symmetrical and asymmetrical double-side TIG welding process were investigated. The simulated results show that the residual stresses are tensile at the weld pool region and as the distance from the weld line increase it tends to compressive. Also found that welding process parameters in welded structures are the most influential parameter for the occurrence and control of residual stresses.
  • 3. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 136 Vijay Gohel et al [3], presented the variation of temperature in TIG welded SS 304 plate of 3 mm work piece thickness. In this work, thermal analysis with the help of ANSYS workbench carried out for butt joint stainless steel base metal (SS 304) using Gas tungsten arc welding (GTAW) process. Thermo - Mechanical simulation is developed. Comparison with the temperature measured by the thermocouples records shows that the results from the present simulation have good agreement with the test data. N.Jeya prakash et al [4], presented the influence of the power source, type of current, gas flow rate, electrodes, filer wire, TIG Machines settings, and shielding gases which are most important in determine arc stability, arc penetration and defect free welds. To do this a thorough literature survey is carried out on various aspects of the proposed topic, in various peer-reviewed journals, patents, books and other research resources. This work have identified the suitable range of current, the thickness of the base metal, the diameter of electrode, the composition of electrode and filler wire, the gas flow rate required for high quality TIG welding process. Paulo J.Modnesi et al [5], explicated the Gas tungsten arc welding is fundamental in those applications where it is important to control the bead shape and the metallurgical characteristics. This process is however of low productivity particularly in the welding of larger components. The present work evaluates the use of TIG welding for austenitic stainless steels with fluxes of only one major component. The changes in weld geometry were compared to variations in the electrical signals from the arc and the arc shape. The effect of the flux on the weld microstructure was also studied. PROCESS PARAMETERS OF TIG WELDING The parameters that affect the quality and outcome of the TIG welding process are given below. Welding current Higher current in TIG welding can lead to splatter and work piece become damage. Again lower current setting in TIG welding lead to sticking of the filler wire. Sometimes larger heat affected area can be found for lower welding current, as high temperatures need to applied for longer periods of time to deposit the same amount of filling materials. Welding voltage Welding Voltage can be fixed or adjustable depending on the TIG welding equipment. A high initial voltage allows for easy arc initiation and a greater range of working tip distance. Too high voltage, can lead to large variable in welding quality. Welding velocity (or) speed Welding speed is an important parameter for TIG welding. If the welding speed is increased, power or heat input per unit length of weld is decreases, therefore less weld reinforcement results and penetration of welding decreases. Welding speed or travel speed is primarily control the bead size and penetration of weld. Shielding gases The choice of shielding gas is depends on the working metals and effects on the welding cost, weld temperature, arc stability, weld speed, splatter, electrode life etc. it also affects the finished weld penetration depth and surface profile, porosity, corrosion resistance, strength, hardness and brittleness of the weld material . Melting efficiency Melting efficiency is one of the more important measurable parameters in TIG welding when assessing the performance of a process. It is well known that a relatively small portion of the net energy is actually used for melting. The ratio of
  • 4. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 137 energy used for melting to that which is delivered to the substrate defines the melting efficiency. III. FINITE ELEMENT ANALYIS A 3D CAD model of butt welded plate is developed in solid works and it is saved in IGES format and imported to the ANSYS software as shown in Figure. The element type in thermal analysis is PLANE 55. The boundary conditions are the constraints applied to the workpiece and the values of various process parameters of the welding are given to the pre-processor as an input. The geometrical details of the workpiece are also has to be detailed in the pre-processor. The element is applicable for three dimensional, steady-state or transient thermal analysis. In this analysis, element PLANE 55 is replaced with by a three-dimensional (3-D) structural element. The complete work in ANSYS is carried out on workbench. Fig.1 Modelling of component Boundary Conditions Heat Input= Actual Heat Input=ŋ Where, V=Voltage (Volts) I=Current (Amperes) U=Weld speed (mm/sec) ŋ=Melting efficiency Heat Flux = Area = 50×3mm2 = 150×10 -6 m Convection co-efficient of heat transfer Q = h A ΔT Q/A= Heat flux, W/m2 h= Convection co-efficient of heat transfer, W/m2K In present analysis, the convection heat transfer due to ambient air is considered. h= Convection co-efficient of heat transfer of air = 10 W/m2 K Table 1: Boundary conditions for different cases Case Sub case V (volts) I (amp) ŋ U (mm/min) Q (W/m2 ) 1 1-1 10 80 0.8 2 2.13E+06 1-2 10 90 0.8 2 2.40E+06 1-3 10 100 0.8 2 2.67E+06 2 Sub case V (volts) I (amp) ŋ U (mm/min) Q (W/m2 ) 2-1 5 90 0.8 2 1.20E+06 2-2 10 90 0.8 2 2.40E+06 2-3 15 90 0.8 2 3.60E+06 3 Sub case V (volts) I (amp) ŋ U (mm/min) Q (W/m2 ) 3-1 10 90 0.8 2 2.40E+06 3-2 10 90 0.8 4 1.20E+06 3-3 10 90 0.8 6 8.00E+05 4 Sub case V (volts) I (amp) ŋ U (mm/min) Q (W/m2 ) 4-1 10 90 0.6 2 1.80E+06 4-2 10 90 0.7 2 2.10E+06 4-3 10 90 0.8 2 2.40E+06 Fig.2 Three dimensional model and its meshed grids
  • 5. International Journal of Engineering and Techniques IV. RESULT AND DISCUSSIONS Fig.3 Temperature distribution in case 1 Fig.4 Temperature distribution in case 1- International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Fig.3 Temperature distribution in case 1-1 -2 Fig. 5 Temperature distribution in case Fig. 6 Temperature vs time for case From the analysis results for the case boundary conditions, it is inferred that the maximum and minimum temperature occurred at 100A and 80A respectively. From this, it is concluded that the welding current is parameter. Fig.7 Temperature vs time for case From the fig.7, it is inferred that as the welding voltage increases, the temperature around weld zone is also increased and it is found to be 1395.7K as maximum temperature at 15V. – Oct 2016 Fig. 5 Temperature distribution in case 1-3 Fig. 6 Temperature vs time for case-1 From the analysis results for the case-1 boundary conditions, it is inferred that the maximum and minimum temperature occurred at 100A and 80A respectively. From this, it is concluded that the welding current is a significant Fig.7 Temperature vs time for case-2 From the fig.7, it is inferred that as the welding voltage increases, the temperature around weld zone is also increased and it is found to be 1395.7K as maximum temperature at 15V.
  • 6. International Journal of Engineering and Techniques Fig.8 Temperature vs time for case-3 From the fig.8, it is inferred that as the welding velocity increases, the temperature around weld zone decreases and it is found to be 1029.9K as maximum temperature at 2mm/s. Fig.9 Temperature vs time for case-4 From the fig.9, it is inferred that as the welding voltage increases, the temperature around weld zone is also increased and it is found to be 1029.9K as maximum temperature at ŋ=0.8. Heat Affected Zone The heat affected zone is the area of base metal, which is not melted but its microstructure and properties are altered by welding operations. In the present work the heat affected zone is found to be up to 5mm distance from the centre of the weld International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – From the fig.8, it is inferred that as the welding velocity increases, the temperature around weld zone decreases and it is found to be 1029.9K From the fig.9, it is inferred that as the welding voltage increases, the temperature around weld zone is also increased and it is found to be ŋ=0.8. The heat affected zone is the area of base ich is not melted but its microstructure and properties are altered by welding operations. In the present work the heat affected zone is found to to 5mm distance from the centre of the weld bead. The measured temperatures in heat affected zone from the ANSYS for case 1 are shown in fig.10. Fig.10 Temperature distribution in HAZ for case 1 Fig.11 Temperature distribution in HAZ for case 2 V.CONCLUSION At present research, the effect of welding parameters such as welding current, welding voltage, welding speed, and melting efficiency on TIG welding are analysed by using finite element analysis in ANSYS work bench software and the temperature distributions at various locations from the centre of the weld zone are analysed. The length – Oct 2016 bead. The measured temperatures in heat affected he ANSYS for case 1 are shown in Fig.10 Temperature distribution in HAZ for case 1 Fig.11 Temperature distribution in HAZ for case 2 At present research, the effect of welding parameters such as welding current, welding voltage, welding speed, and melting efficiency on TIG welding are analysed by using finite element analysis in ANSYS work bench software and the ns at various locations from the centre of the weld zone are analysed. The length
  • 7. International Journal of Engineering and Techniques - Volume 2 Issue 5, Sep – Oct 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 140 of heat affected zone for variations of different welding parameters is evaluated. VI REFERENCES i. Paulo roberto de freitas teixeira et al, “study of the Gaussian distribution heat source model applied to numerical thermal simulations of TIG welding processes”, ciência & engenharia (science & engineering journal), ISSN 1983-4071 ,2014. ii. Vishnu V.S et al, “Numerical Analysis of Effect of Process Parameters on Residual Stress in a Double Side TIG Welded Low Carbon Steel Plate”, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), e- ISSN: 2278-1684, p-ISSN: 2320-334X PP 65-68, 2014. iii. Vijay Gohel et al,“Thermo-mechanical analysis in TIG welding of S.S 304” IJEDR, Volume 4, Issue 2, ISSN: 2321-9939,2016. iv. N.Jeya prakash et al,“ The Parameters and Equipments used in TIG welding”,The International Journal of Engineering and Science (IJES), Volume 4, Issue 2, ISSN:2319 -1813,2015. v. Paulo J. Modnesi, Eustaquio R., Iaci M. Pereira “TIG welding with single component fluxes”, Journal of Materials Processing Technology 99 (2000) , P 260- 265,2000. vi. Ugur Esme, Melih Bayramoglu, Yugut Kazancoglu, Sueda Ozgun Optimization of weld bead geometry in TIG welding process using Grey relation analysis and taguchi method. Original scientific article/Izvirni znanstveni clanek-2009,P 143-149. vii. S.C. Juang, Y.S. Tarng Process parameter selection for optimizing the weld pool geometery in the tungsten inert gas welding of stainless steel. Journal of Materiala Processing Technology 122 (2002),P 33-37. viii. S.Krishnanunni, Dr Josephkunju Paul C., V. Narayanan Unni Effect of Welding Conditions on Hardness of Commercially Pure Titanium Akgec International Journal of technology, vol 3, No-2, P- 19-24. ix. Raghuvir Singh, Dr. N.M Suri, Prof. Jagjit Randhawa Optimization of Process Parameters for TIG welding of 304L stainless steel using Response Surface Methodology. International Journal of Mechanical Science & Civil Engineering, Vol 2, Isssue-2 (June 2013), P 36-40 x. Wenchao Dong, Shanping Lu, Dianzhong Li,Yiyi Li GTAW liquid pool convections and the weld shape variations under Helium gas shielding, International Journal of Heat & Mass Transfer 54 (2001), P 1420- 1431. xi. Dongjie Li, Shanping Lu, Wenchao Dong, Dianzhong Li, Yiyi Li Study of the law between the weld pool shape variations with the welding parameters under two TIG Processes. Journal of Materials Processing Technology 212 (2012), P 128- 136 xii. Parikshit Dutta, Dilip Kumar Pratihar Modeling of TIG welding Process using conventional regression analysis and neural network-based approaches. Journal of Materials Processing Technology 184(2007), P 56-68 xiii. Shanping Lu, Hidetoshi Fujii, Kiyoshi Nogia Arc igniatibility, bead projection and weld shape variations for He-Ar- shielded GTA welding on SUS304 stainless steel. Journal of Materials Processing Technology 209 (2009), P 1231-1239. xiv. Paulo J. Modnesi, Eustaquio R., Iaci M. Pereira TIG welding with single component fluxes. Journal of Materials Processing Technology 99 (2000) , P 260- 265. xv.Patel. S. Naitik & Patel. B. Rahul, ‘A Review on Parametric Optimization of Tig Welding’, International Journal of Computational Engineering Research. Vol 4. Issue 1.