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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1040
Optimization of Process parameters of Friction Stir Welding for Similar
HE-30 Aluminium Alloy
Mr. Praveen G. Kohak1, Dr. R. R. Navthar2
1PG Scholar, Dept. of Mechanical Engineering, D.V.V.P, COE, Ahmednagar, Maharashtra, India
2Professor, Dept. of Mechanical Engineering, D.V.V.P, COE, Ahmednagar, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Friction stir welding is a solid-state joining
process that uses a non-consumable tool to join two facing
work pieces without melting the work piece material. This is
developed in Dec.1991 by The Welding Institute of UK using
for Al, Mg, Cu, Ti, work pieces that could not welded by
conventional types of welding and recently develop too much
in different application because of economical and quality
consideration. Modern types of tool developed recently for
harder typed of materials work pieces like different type of
steels. Also, different types of machines developed for this
purpose. FSW can done by an ordinary CNC milling machine
for small work pieces to professional single purpose robotic
machine in orbital FSW in steel pipes welding in oil
industries The process has been widely used in the
aerospace, shipbuilding, automobile industries and in many
applications of commercial importance. This is because of
many of its advantages over the conventional welding
techniques which include very low distortion, no fumes, no
porosity or spatter, no consumables (no filler wire), no special
surface treatment and no shielding gas requirements. FSW
joints have improved mechanical properties and are freefrom
porosity or blowholes compared to conventionally welded
materials. In this project tapered cylindrical tool with three-
sided re-entrant probe made of Tungstun Carbide(Wc)isused
for the friction stir welding (FSW) of aluminium alloy HE30 –
HE30 and test the mechanical propertiesoftheweldedjoint by
tensile test. Finally, we were compare mentioned mechanical
properties and make conclusion. The result will help welding
parameter optimization in friction stir welding process. Like
rotational speed, depth of welding, travel speed, Tool Axial
force, type of material, type of joint, work piece dimension,
joint dimension, tool material and tool geometry. Thedetailed
mathematical model is simulated by Minitab15. Experiments
were conducted by varying rotational speed, transversespeed,
and constant Axial force using L9 orthogonalarrayofTaguchi
method. We analyzed the effect of these three parameters on
tensile strength. In this investigation, an effective approach
based on Taguchi method, has been developed to determine
the optimum conditions leading to highertensilestrength. The
present work aims at optimizing process parameters to
achieve high tensile strength.
Key Words: Aluminium alloy HE30-HE30, Friction stir
welding (FSW) Tool, Minitab15, Tensile test, Tapered
Cylindrical Three sided re-entrant probe.
1. INTRODUCTION
Friction stir welding is a weldingprocessrecentlydeveloped
in 1991 using for Al, Mg, Cu, Ti, for work pieces that could
not welded by conventional types of welding and recently
develop too much in different application because of
economical and quality consideration. Modern types of tool
developed recently for harder typed of materials work
pieces like different type of steels. Also different types of
machines developed for this purpose. FSW can done by an
ordinary CNC milling machine for small work pieces to
professional single purpose robotic machine in orbital
FSW in steel pipes welding in oil industries [1]. The
schematic of friction stir process shown in Fig.I
Fig-1: Schematic of Friction Stir Welding
Also the FSW process can be modeled as a metal working
process in terms of five Conventional metal working zones:
preheat, initial deformation, extrusion, forging and post
heat/cool. Besides this preheating generally increase
hardness and Tensile strength qualification therefore
preheating recommended both when the friction stir
welded joint under horizontal or vertical high loads [1].
Several process parameter optimization develop for
friction stir welding in recent years. Base these modelling
techniques the tool geometry have dominate effects in
friction stir welding processes. The effect of bonding time
and homogenization treatment on microstructure
development and improvement is also considerable. Post
bond heat treatment on mechanical Properties, micro
hardness and shear strength of joints were also
considered as important factors in any welding, joining or
metal forming processes[1]. But as I mentioned before
preheating preferred in friction stir welding processes and
that’s because of the nature of the process that base on heat
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1041
generated by friction existence between tool and work
pieces materials [1].
The process of Friction Stir Welding has been widely
used in the aerospace, shipbuilding, automobile industries
and in many applications of commercial importance. This
is because of many of its advantages over the conventional
welding techniques some of which include very low
distortion, no fumes, porosity or spatter, no consumables
(no filler wire), no special surface treatment and no
shielding gas requirements. FSW joints have improved
mechanical properties and are free from porosity or
blowholes compared to conventionally welded materials.
However along with these advantages there are a few
disadvantages, which also need to be mentioned. At the
end of the welding process an exit hole is left behind when
the tool is withdrawn which is undesired in most of the
applications. This has been overcome by providing an offset
in the path for continuous trajectory, or by continuing
into a dummy plate for non-continuous paths, or simply by
machining off the undesired part with the hole. Large down
forces and rigid clamping of the plates to be welded are a
necessity for this process, which causes limitation in the
applicability of this process to weld jobs with certain
geometries [2].
In FSW, a cylindrical-shouldered tool, with a profiled
threaded/unthreaded probe or pin is rotated at a
constant speed and fed at a Constant traverse rate into the
joint line between two pieces of sheet or plate material,
which are butted together as shown in Figure 1. The parts
have to be clamped rigidly onto a backing bar in a manner
that prevents the abutting joint faces from being forced
apart. The length of the pin is slightly less than the weld
depth required and the tool shoulder should be in intimate
contact with the work piece surface. The pin is then moved
against the work piece, or vice-versa. Frictional heat is
generated between the wear resistant weldingtool shoulder
and pin, and the material of the work-pieces. This heat,
along with the heat generated by the mechanical mixing
process and the adiabatic heat within the material, cause
the stirred materials to soften without reaching the
melting point (hence cited a solid-state process). As the pin
is moved in the direction of welding the leading face of the
pin, assisted by a special pin profile, forces plasticized
material to the back of the pin which applying a substantial
forging force to consolidate the weld metal. The welding of
the material is facilitated by severe plastic deformation in
the solid state involving dynamic recrystallization of the
base material. Friction Stir Welding is associated with
various types of defects which result due to improper
welding parameters. Insufficient weld temperatures, due to
low rotation speeds or high traverse speed. [2]
Aluminium is the most prominent candidate to meet
the challenges for future automotive regarding high
strength/weight ratio, corrosion resistance, emissions,
safety, and sustainability. A high thermal and electrical
conductivity cause problems in fusion and resistance
welding of aluminium alloys. Friction stir welding(FSW)isa
solid state welding process and it considered the most
significant development in metal joining techniques in the
last decades, it was invented by The Welding Institute(TWI)
of UK in 1991 as a solid-state joining technique, and it was
initially applied to aluminium alloys. However, the
extended application of this welding process in industry
still requires accurate knowledge of the joining
mechanism, and the metallurgical and mechanical
transformations it induces in the base materials. Actually
the effectiveness of the obtained joint is strongly
dependent on several operating parameters. First of all,
the geometric parameters of the tool, such as the height
and the shape of the pin and the shoulder surface of the
head, have a great influence on both the metal flow and
the heat generation due to friction forces. Secondly, both
the rotating speed and the feed rate have to be selected
in order to improve “nugget integrity” that results in a
proper microstructure and eventually in good strength,
fatigue resistance and ductility of the joint[2].
In FSW process heat generated by friction between
the surface of the plates and the contact surface of a
special tool, composed of two main parts: shoulder and
pin. Shoulder is responsible for the generation of heat and
for containing the plasticized material in the weld zone,
while pin mixes the material of the components to be
welded, thus creating a joint. This allows for producing
defect-free welds characterized by good mechanical and
corrosion properties. The advantages of FSW are due to
the fact that the process is carried out with the material
to be welded in the solid state. Avoiding melting prevents
the production of defects, due, for instance, to the presence
of oxygen in the melting bath, and limits the negative effects
of material metallurgical transformations and changes
strictly connected with changes of phase. Finally, the
reduced thermal flux, with respect to traditional fusion
welding operations, results in a reduction in residual
stress state in the joints and, consequently, in distortions in
the final products [4].
2. PROBLEM STATEMENT
Friction Stir Welding has been widely used in the aerospace,
shipbuilding, automobile industries and in many
applications because of many of its advantages over the
conventional weldingtechniquessomeofwhichincludevery
low distortion, no fumes, porosity or spatter, no
consumables (no filler wire), no special surface treatment
and no shielding gas requirements.
Aluminium is the most prominent candidate to meet
the challenges for future automotive regarding high
strength/weight ratio, corrosion resistance, emissions,
safety, and sustainability. Aluminium HE30 has been widely
used in the aerospace, shipbuilding, automobile industries
and in many applications of commercial importance. So
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1042
optimization of the Friction Stir Welding joint is find out for
aluminium alloy HE30 by using Taguchi method which is
used to analyze the effect of process parameters (i.e. RS, TS
and Axial force) for optimizingtensilestrengthofFSweldsof
similar aluminium alloy HE30-HE30.
3. OBJECTIVES
I. To study the effect of different parameters like RS,
TS and Axial force of Friction stir welded joint on
Tensile strength.
II. To make a comparative study of contribution of
process parameters.
III. Design of tool for FSW.
IV. Validation of experimental data by regression
analysis and ANOVA.
V. To obtain the optimum process parameters i.e. RS,
TS and Axial force for Tensile strength.
4. METHODOLOGY
1. Selection of Material AluminiumAlloyHE-30&FSW
on VMC/ CNC Milling Machine.
2. Design of Tool.
3. Making layout of Experimental Design according to
L9 array.
4. Actual FSW operation by taking different
combination values of RS, TS & Axial force.
5. Measurement of Mechanical Properties such as
Tensile strength for the given combinations of RS,
TS & Axial force of tool on UTM.
6. By using Taguchi analysis techniques
experimentation was done.
7. Comparison of the results obtained through UTM
and Taguchi analysis techniques with each other.
8. Result will reveal the suitability of selected
combinations of RS, TS & Axial force for defect free
FSW operation & optimum process parameters for
high strength.
SCOPE OF WORK
The first step in the selection of process parameters is
to conduct the brain storming session to select the
process two process parameters were selected for study.
When the RS was lower than 800 rpm, wormhole at the
retreating side of weld nugget was observed and it may
be due to insufficient heat generation and insufficient
metal transportation; when the RS was higher than 1600
rpm, tunnel defect was observed and it might be due to
excessive turbulence. Similarly, when the TS was lowerthan
0.16 mm/s, pin holes type of defect was observed due to
excessive heat input per unit length of the weld and no
vertical movement of the metal. When TS was higher than
1.5mm/s, tunnel at the bottom inretreating side was
observed due to insufficient heat. Basedonthisthefollowing
range of process parameters is selected.
5. TAGUCHI METHOD
Incorrect business decisions can have very serious
consequences for a company. The decisions that a
company makes can be as simple as choosing on what
side of a building to install bathrooms, or as complex as
what should be the layout of a manufacturing plant, or
as serious as whether it should invest millions of dollars
in the acquisition of a failing company or not. In any
event, when we are confronted with a decision we must
choose between at least two alternatives. The choice we
make depends on many factors but in quality driven
operations, the most important factor is the satisfaction
that the customers derive from using the products or
services delivered to them. The quality of a product is
the result of a combination of factors. If that combination
is suboptimal, quality will suffer and the company will
lose as a result of rework and repair. The best operations‟
decisions are the result of a strategic thinkingthatconsistsin
conducting several experiments, combining relevantfactors
in different ways to determine which combination is the
best. This process is known in statistics as Design of
Experiment (DOE).
Optimization of process parameters is the key step in
the Taguchi method to achieving high quality without
increasing cost. This is because optimization of process
parameters can improve quality and the optimal process
parameters obtained from the Taguchi method are
insensitive to the variation of environmental conditions
and other noise factors. Basically, classical process
parameter design is complex and not easy to use. An
advantage of the Taguchi method is that it emphasizes a
mean performance characteristic value close to the target
value rather than a value within certain specification
limits, thus improving the product quality. Additionally,
Taguchi's method for experimental design is
straightforward and easy to apply to many engineering
situations, making it a powerful yet simple tool. It can be
used to quickly narrow the scope of a research project or to
identify problems in a manufacturing process from data
already in existence.
A large number of experiments have to be carried out
when the number of the process parameters increases.
To solve this task, the Taguchi method uses a special design
of orthogonal arrays to study the entire process parameter
space with only a small number of experiments. Using an
orthogonal array to design the experiment could help the
designers to study the influence of multiple controllable
factors on the average of quality characteristics and the
variations in a fast and economic way, while using a
signal-to-noise ratio to analyze the experimental data
could help the designers of the product or the
manufacturer to easily find out the optimal parametric
combinations.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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A loss function is then defined to calculate the deviation
between the experimental value and the desired value.
Taguchi recommends the use of the loss functiontomeasure
the deviation of the quality characteristic from the desired
value. The value of the overall loss function is further
transformed into a signal-to-noise (S/N)ratio.Usually,there
are three categories of the quality characteristic in the
analysis of the S/N ratio, i.e. the lower-the-better,thelarger-
the-better, and the more-nominal-the-better. The S/N ratio
for each level of process parameters is computed based
on the S/N analysis. Regardless of the category of the
quality characteristic, a larger S/N ratio corresponds to a
better quality characteristic. Therefore, the optimal level
of the process parameters is the level with the highest
S/N ratio. Furthermore, a statistical analysis of variance
(ANOVA) is performed to see which process parameters are
statistically significant. The optimal combination of the
process parameters can then be predicted. Finally, a
confirmation experiment is conducted to verify the optimal
process parameters obtained from the process parameter
design.
6. MATERIALS AND METHODOLOGY FOR FSW
A. Tungstun Carbide Tool:
Tool used in this study for Friction Stir Welding is made
whose shank body is made with EN-31&taperedthreesided
re-entrant Probe is madeofTungstunCarbidewithfollowing
dimensions.
Fig-2: FSW Tool Design
Photo-1: Actual FSW Tool before welding
B. Plate Material:
The base materials selected for this investigation were
AA6082-T6 and AA6082-T6 aluminium alloys sheets of 6
mm thickness having chemical composition and mechanical
properties shown in the Table I In the present study, sheets
of size 100mm x 75mm of AA6082-T6 and AA6082-T6 were
cut for welding by FSW.
Fig-3: Work piece Dimension
Photo-2: Aluminium alloy HE30 work piece
Table-1: Chemical Composition of HE30
Ele
men
t
M
g
S
i
F
e
C
u
C
r
Z
n
T
i
M
n
Ot
he
r
(To
tal)
Ot
he
r
(Ea
ch)
A
l
% 0.
60
-
1.
20
0.
70
-
1.
30
0.
0-
0.
5
0
0.
0-
o.
10
0.
0-
0.
2
5
0.
0-
0.
2
0
0.
0-
0.
1
0
0.
40
-
1.
00
0.
0-
0.
15
0.
0-
0.
05
Balan
ce
7. EXPERIMENTAL DATA
According to the L9 orthogonal array, three experiments in
each set of process parameters have been performed on Al-
6082 plates. The three factors used in this experiment are
the rotating speed, axial force and travel speed. The
experiments are performed on a vertical milling machine
which serves to perform the FSW operation.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1044
Table-2: Experimental layout of L9 Orthogonal array
Experiment Rotational
Speed
RPM
Travel
speed
mm/min
Axial
Force
N
1 1400 10 1000
2 1400 20 2000
3 1400 30 3000
4 1500 10 2000
5 1500 20 3000
6 1500 30 1000
7 1600 10 3000
8 1600 20 1000
9 1600 30 2000
Photo-3: Aluminium Plates after FSW
Photo-4: FSW Tool after welding
Photo-5: Specimen after failure
Table-3: The input parameter of orthogonal array and the
output characteristics
Experiment Rotational
Speed
RPM
Travel
speed
mm/min
Axial
Force
N
Tensile
strength
(Mpa)
1 1400 10 1000
44.722
2 1400 20 2000
34.922
3 1400 30 3000
42.345
4 1500 10 2000
30.256
5 1500 20 3000
48.074
6 1500 30 1000
48.854
7 1600 10 3000
32.489
8 1600 20 1000
43.407
9 1600 30 2000
59.891
8. RESULT DISCUSSION
I.Results of Mechanical Properties of Friction Stir
Welded Joint:
We weld the mention dimension aluminium alloy HE30-
HE30 plates withthementioned processparameterandVMC
milling machine nine times withtapercylindrical threesided
re-entrant probe tool & then perform tensile strengthtestto
the welded joints compare the results and make conclusion.
i. S/N Ratio Analysis:
In the Taguchi Method, the term ‘signal’ represents the
desirable value (mean) for the outputcharacteristicsandthe
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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term ‘noise’ represents the undesirable value for the output
characteristic. Taguchi uses the S/N ratio to measure the
quality characteristicdeviatingfromthedesiredvalue.There
are several S/N ratios available depending on type of
characteristic: lower is better (LB), nominal is best (NB),
larger is better (LB). Larger is better S/N ratio used here.
Larger the better quality characteristic was implemented
and used in this study.
Larger the better characteristic:
S/N= -10 log10 (MSD)
MSD = (1/Y12 + 1/Y22 + 1/Y32 +................)/n
Where Y1, Y2, Y3 are the responses and n is the number of
tests in a trial and m is the target value of result. The level of
a factor with the highest S/N ratio was the optimumlevel for
responses measured.
Table-4: S/N ratio of tensile strength of FS Welds
Sr.
No.
RS
(RPM)
TS
(mm/min.)
AF
(N)
UTS
(Mpa)
S/N
Ratio
1 1400 10 1000 44.722 33.0104
2 1400 20 2000 34.922 30.8620
3 1400 30 3000 42.345 32.5360
4 1500 10 2000 30.256 29.6162
5 1500 20 3000 48.074 33.6382
6 1500 30 1000 48.854 33.7780
7 1600 10 3000 32.489 30.2347
8 1600 20 1000 43.407 32.7512
9 1600 30 2000 59.891 35.5472
Photo-6: S/N ratio of tensile strength of FS Welds
Table-5: Response table for Signal to Noise Ratios
Level RS TS AF
1
32.14 30.95 33.18
2
32.34 32.42 32.01
3
32.84 33.95 32.14
Delta
0.71 3.00 1.17
Rank
3 1 2
Chart-1: Main Effect Plot for SN Ratio
Table-6: Response table for Means
Level RS TS AF
1
40.66 35.82 45.66
2
42.39 42.13 41.69
3
45.26 50.36 40.97
Delta
4.60 14.54 4.69
Rank
3 1 2
Chart-2: Main Effect Plot for Mean
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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ii. OVAT (One Variable at a Time) Analysis:
OVAT analysis is very much important tool utilizedwidelyin
engineering analysis. A control factors and there levels are
selected for experimentation by using OVAT analysis. The
main purpose of performing OVAT analysis is to clear that
whether the selected process parameters having influence
on quality characteristics. OVAT analysisperform byvarying
one process parameter from lower to higher value by
keeping all other process parameters constants, and
measure the effect on quality characteristics.
(A) OVAT analysis of Rotational Speed of Tool
The level of rotational speed of tool 1400rpm, 1500rpm,
1600rpm is selected. Rotational speedoftool ischanging and
remaining other parameter Travel speed, Axial forceputting
mean and result Ultimatetensilestrengtharetakenandfrom
table 7 it is clear that as rotational speedoftool increases the
ultimate tensile strength increases. Hence the Rotational
speed of tool is influencing factor on Ultimate tensile
strength.
Table-7: OVAT analysis of Rotational speed of Tool
Rotational
Speed (RS),
RPM
Travel
Speed (TS),
mm/Min.
Axial
Force
(AF), N
Ultimate
Tensile
Strength
(UTS), mpa
1400 20 2000 30
1500 20 2000 40
1600 20 2000 59
Chart-3: Rotational speed vs Ultimate Tensile Strength
Effect of Rotational speed of Tool on Ultimate Tensile
Strength:
Chart-3 shows effect of Rotational speed of tool on
Ultimate Tensile Strength. As Rotational speed of tool goes
on increasing Ultimate Tensile Strength also increases.
(B) OVAT analysis of Travel Speed of Tool
The level of Travel speed of tool 10mm/min., 20mm/min.,
30mm/min. is selected. Travel speed of tool is changing and
remaining other parameter Rotational speed, Axial force
putting mean and result Ultimate tensile strength are taken
and from table 8 it is clear that as travel speed of tool
increases the ultimate tensile strength increases. Hence the
Travel speed of tool is influencing factor on Ultimate tensile
strength.
Table-8: OVAT analysis of Travel speed of Tool
Travel
Speed (TS),
mm/Min.
Rotational
Speed (RS),
RPM
Axial
Force
(AF), N
Ultimate
Tensile
Strength
(UTS), mpa
10 1500 2000 30
20 1500 2000 40
30 1500 2000 59
Chart-4: Travel speed vs Ultimate Tensile Strength
Effect of Travel speed of Tool on Ultimate Tensile
Strength:
Chart-4 shows effect of Travel speed of tool on
Ultimate Tensile Strength. As Travel speed of tool goes on
increasing Ultimate Tensile Strength also increases.
(C) OVAT analysis of Axial Force
The level of Axial Force of tool 1000 N, 2000 N, 3000 N is
selected. Axial Force of tool is changing and remaining other
parameter Rotational speed, Travel Speed puttingmeanand
result Ultimate tensile strength are taken and from table 9 it
is clear that as Axial Force of tool increases the ultimate
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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tensile strength increases. Hence the Axial Force of tool is
influencing factor on Ultimate tensile strength.
Table-9: OVAT analysis of Axial Force
Axial Force
(AF), N
Travel
Speed (TS),
mm/Min.
Rotational
Speed
(RS), RPM
Ultimate
Tensile
Strength
(UTS), mpa
1000 20 1500 30
2000 20 1500 40
3000 20 1500 59
Chart-5: Axial Force vs Ultimate Tensile Strength
Effect of Axial Force of Tool on Ultimate Tensile
Strength:
Chart-5 shows effect of Axial force oftool onUltimate
Tensile Strength. As Axial force of tool goes on increasing
Ultimate Tensile Strength also increases.
9. CONCLUSIONS
The following conclusions have been derived by applying
TAGUCHI METHOD on the experimental investigationsof AA
6082-T6 and AA 6082-T6 alloys by FSW.
1. The cylindrical tool with a tapered three-sided re-
entrant probe have efficient stirring of the metal
and efficient filling of the material inthegapformed
during the welding process. Friction stir welding
can apply successfully for aluminum alloy HE30-
HE30 by VMC machine.
2. FSW window was developed to decide the range of
tool rotational speed, welding speedandaxial force.
3. The tensile strength increases with increase in the
rotational speed of tool and reaches maximum .The
optimum value of process parameters such as
rotational speed, traverse speed and axial force are
found to be 1600rpm (level 3), 30mm/min(level 3)
and 2000 N (level 2) respectively.
4. The Ultimate Tensile strength increases with
increase in the Tool Rotational speed and reaches
maximum.
5. Also Ultimate Tensile strength increases with
increase in the Tool Travel speed and reaches
maximum.
ACKNOWLEDGEMENT
It is pleasure for me to present this paper where guidance
plays an invaluable key and provide concrete platform for
completion of this paper. I would also like to express my
sincere thanks to my guide and PG Coordinator Dr. R. R.
Navthar, Dr. K. B. Kale HOD of Department of Mechanical
Engineering & Dr. J. Jayakumar Principal of college for
providing labs & Testing equipment’s. I also Thankful to
Sahyadri Industries (M.I.D.C. Ahmednagar) for giving
permission to conduct experimentation (FSW) on VMC.
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[6] Pouranvari, M., “TLP Bonding of A Gamma Prime
Strengthened Super alloy Using Ni-Si-B Interlayer at
1150°C-Part II: Mechanical Properties,” World Applied
Sciences Journal, 15(11), 2011 pp. 1532-1533.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1048
[7] Kumar R., M. Siva Pragash and S. Varghese, “Optimizing
the Process Parameters of FSW on AZ31B Mg Alloy by
Taguchi-Grey Method,” Middle-EastJournal ofScientific
Research, 15 (1), 2013, pp. 161-167.
[8] Mustafa Boz, Adem Kurt, “The Influence of Stirrer
Geometry on Bonding and Mechanical Properties in
friction stir welding process,” Journal of Materials and
Design, Volume 25, 2004, pp. 343-347.
[9] Sriramula Sai Kumar, P. Satish Kumar, “Characterization
and Processing of Friction Stir Welding on Copper
Welds,” International Journal ofResearchinEngineering
and Technology, Volume: 04, Issue: 11, 2015.
[10] A. Pradeep, S. Muthukumaran, “An Analysis to optimize
the process parameters of Friction Stir Welded Low
Alloy Steel Plates,” International Journal of Engineering,
Science and Technology, Vol. 5, No. 3, 2013, pp. 25-35.

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Optimization of Process Parameters of Friction Stir Welding for Similar He-30 Aluminium Alloy

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1040 Optimization of Process parameters of Friction Stir Welding for Similar HE-30 Aluminium Alloy Mr. Praveen G. Kohak1, Dr. R. R. Navthar2 1PG Scholar, Dept. of Mechanical Engineering, D.V.V.P, COE, Ahmednagar, Maharashtra, India 2Professor, Dept. of Mechanical Engineering, D.V.V.P, COE, Ahmednagar, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Friction stir welding is a solid-state joining process that uses a non-consumable tool to join two facing work pieces without melting the work piece material. This is developed in Dec.1991 by The Welding Institute of UK using for Al, Mg, Cu, Ti, work pieces that could not welded by conventional types of welding and recently develop too much in different application because of economical and quality consideration. Modern types of tool developed recently for harder typed of materials work pieces like different type of steels. Also, different types of machines developed for this purpose. FSW can done by an ordinary CNC milling machine for small work pieces to professional single purpose robotic machine in orbital FSW in steel pipes welding in oil industries The process has been widely used in the aerospace, shipbuilding, automobile industries and in many applications of commercial importance. This is because of many of its advantages over the conventional welding techniques which include very low distortion, no fumes, no porosity or spatter, no consumables (no filler wire), no special surface treatment and no shielding gas requirements. FSW joints have improved mechanical properties and are freefrom porosity or blowholes compared to conventionally welded materials. In this project tapered cylindrical tool with three- sided re-entrant probe made of Tungstun Carbide(Wc)isused for the friction stir welding (FSW) of aluminium alloy HE30 – HE30 and test the mechanical propertiesoftheweldedjoint by tensile test. Finally, we were compare mentioned mechanical properties and make conclusion. The result will help welding parameter optimization in friction stir welding process. Like rotational speed, depth of welding, travel speed, Tool Axial force, type of material, type of joint, work piece dimension, joint dimension, tool material and tool geometry. Thedetailed mathematical model is simulated by Minitab15. Experiments were conducted by varying rotational speed, transversespeed, and constant Axial force using L9 orthogonalarrayofTaguchi method. We analyzed the effect of these three parameters on tensile strength. In this investigation, an effective approach based on Taguchi method, has been developed to determine the optimum conditions leading to highertensilestrength. The present work aims at optimizing process parameters to achieve high tensile strength. Key Words: Aluminium alloy HE30-HE30, Friction stir welding (FSW) Tool, Minitab15, Tensile test, Tapered Cylindrical Three sided re-entrant probe. 1. INTRODUCTION Friction stir welding is a weldingprocessrecentlydeveloped in 1991 using for Al, Mg, Cu, Ti, for work pieces that could not welded by conventional types of welding and recently develop too much in different application because of economical and quality consideration. Modern types of tool developed recently for harder typed of materials work pieces like different type of steels. Also different types of machines developed for this purpose. FSW can done by an ordinary CNC milling machine for small work pieces to professional single purpose robotic machine in orbital FSW in steel pipes welding in oil industries [1]. The schematic of friction stir process shown in Fig.I Fig-1: Schematic of Friction Stir Welding Also the FSW process can be modeled as a metal working process in terms of five Conventional metal working zones: preheat, initial deformation, extrusion, forging and post heat/cool. Besides this preheating generally increase hardness and Tensile strength qualification therefore preheating recommended both when the friction stir welded joint under horizontal or vertical high loads [1]. Several process parameter optimization develop for friction stir welding in recent years. Base these modelling techniques the tool geometry have dominate effects in friction stir welding processes. The effect of bonding time and homogenization treatment on microstructure development and improvement is also considerable. Post bond heat treatment on mechanical Properties, micro hardness and shear strength of joints were also considered as important factors in any welding, joining or metal forming processes[1]. But as I mentioned before preheating preferred in friction stir welding processes and that’s because of the nature of the process that base on heat
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1041 generated by friction existence between tool and work pieces materials [1]. The process of Friction Stir Welding has been widely used in the aerospace, shipbuilding, automobile industries and in many applications of commercial importance. This is because of many of its advantages over the conventional welding techniques some of which include very low distortion, no fumes, porosity or spatter, no consumables (no filler wire), no special surface treatment and no shielding gas requirements. FSW joints have improved mechanical properties and are free from porosity or blowholes compared to conventionally welded materials. However along with these advantages there are a few disadvantages, which also need to be mentioned. At the end of the welding process an exit hole is left behind when the tool is withdrawn which is undesired in most of the applications. This has been overcome by providing an offset in the path for continuous trajectory, or by continuing into a dummy plate for non-continuous paths, or simply by machining off the undesired part with the hole. Large down forces and rigid clamping of the plates to be welded are a necessity for this process, which causes limitation in the applicability of this process to weld jobs with certain geometries [2]. In FSW, a cylindrical-shouldered tool, with a profiled threaded/unthreaded probe or pin is rotated at a constant speed and fed at a Constant traverse rate into the joint line between two pieces of sheet or plate material, which are butted together as shown in Figure 1. The parts have to be clamped rigidly onto a backing bar in a manner that prevents the abutting joint faces from being forced apart. The length of the pin is slightly less than the weld depth required and the tool shoulder should be in intimate contact with the work piece surface. The pin is then moved against the work piece, or vice-versa. Frictional heat is generated between the wear resistant weldingtool shoulder and pin, and the material of the work-pieces. This heat, along with the heat generated by the mechanical mixing process and the adiabatic heat within the material, cause the stirred materials to soften without reaching the melting point (hence cited a solid-state process). As the pin is moved in the direction of welding the leading face of the pin, assisted by a special pin profile, forces plasticized material to the back of the pin which applying a substantial forging force to consolidate the weld metal. The welding of the material is facilitated by severe plastic deformation in the solid state involving dynamic recrystallization of the base material. Friction Stir Welding is associated with various types of defects which result due to improper welding parameters. Insufficient weld temperatures, due to low rotation speeds or high traverse speed. [2] Aluminium is the most prominent candidate to meet the challenges for future automotive regarding high strength/weight ratio, corrosion resistance, emissions, safety, and sustainability. A high thermal and electrical conductivity cause problems in fusion and resistance welding of aluminium alloys. Friction stir welding(FSW)isa solid state welding process and it considered the most significant development in metal joining techniques in the last decades, it was invented by The Welding Institute(TWI) of UK in 1991 as a solid-state joining technique, and it was initially applied to aluminium alloys. However, the extended application of this welding process in industry still requires accurate knowledge of the joining mechanism, and the metallurgical and mechanical transformations it induces in the base materials. Actually the effectiveness of the obtained joint is strongly dependent on several operating parameters. First of all, the geometric parameters of the tool, such as the height and the shape of the pin and the shoulder surface of the head, have a great influence on both the metal flow and the heat generation due to friction forces. Secondly, both the rotating speed and the feed rate have to be selected in order to improve “nugget integrity” that results in a proper microstructure and eventually in good strength, fatigue resistance and ductility of the joint[2]. In FSW process heat generated by friction between the surface of the plates and the contact surface of a special tool, composed of two main parts: shoulder and pin. Shoulder is responsible for the generation of heat and for containing the plasticized material in the weld zone, while pin mixes the material of the components to be welded, thus creating a joint. This allows for producing defect-free welds characterized by good mechanical and corrosion properties. The advantages of FSW are due to the fact that the process is carried out with the material to be welded in the solid state. Avoiding melting prevents the production of defects, due, for instance, to the presence of oxygen in the melting bath, and limits the negative effects of material metallurgical transformations and changes strictly connected with changes of phase. Finally, the reduced thermal flux, with respect to traditional fusion welding operations, results in a reduction in residual stress state in the joints and, consequently, in distortions in the final products [4]. 2. PROBLEM STATEMENT Friction Stir Welding has been widely used in the aerospace, shipbuilding, automobile industries and in many applications because of many of its advantages over the conventional weldingtechniquessomeofwhichincludevery low distortion, no fumes, porosity or spatter, no consumables (no filler wire), no special surface treatment and no shielding gas requirements. Aluminium is the most prominent candidate to meet the challenges for future automotive regarding high strength/weight ratio, corrosion resistance, emissions, safety, and sustainability. Aluminium HE30 has been widely used in the aerospace, shipbuilding, automobile industries and in many applications of commercial importance. So
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1042 optimization of the Friction Stir Welding joint is find out for aluminium alloy HE30 by using Taguchi method which is used to analyze the effect of process parameters (i.e. RS, TS and Axial force) for optimizingtensilestrengthofFSweldsof similar aluminium alloy HE30-HE30. 3. OBJECTIVES I. To study the effect of different parameters like RS, TS and Axial force of Friction stir welded joint on Tensile strength. II. To make a comparative study of contribution of process parameters. III. Design of tool for FSW. IV. Validation of experimental data by regression analysis and ANOVA. V. To obtain the optimum process parameters i.e. RS, TS and Axial force for Tensile strength. 4. METHODOLOGY 1. Selection of Material AluminiumAlloyHE-30&FSW on VMC/ CNC Milling Machine. 2. Design of Tool. 3. Making layout of Experimental Design according to L9 array. 4. Actual FSW operation by taking different combination values of RS, TS & Axial force. 5. Measurement of Mechanical Properties such as Tensile strength for the given combinations of RS, TS & Axial force of tool on UTM. 6. By using Taguchi analysis techniques experimentation was done. 7. Comparison of the results obtained through UTM and Taguchi analysis techniques with each other. 8. Result will reveal the suitability of selected combinations of RS, TS & Axial force for defect free FSW operation & optimum process parameters for high strength. SCOPE OF WORK The first step in the selection of process parameters is to conduct the brain storming session to select the process two process parameters were selected for study. When the RS was lower than 800 rpm, wormhole at the retreating side of weld nugget was observed and it may be due to insufficient heat generation and insufficient metal transportation; when the RS was higher than 1600 rpm, tunnel defect was observed and it might be due to excessive turbulence. Similarly, when the TS was lowerthan 0.16 mm/s, pin holes type of defect was observed due to excessive heat input per unit length of the weld and no vertical movement of the metal. When TS was higher than 1.5mm/s, tunnel at the bottom inretreating side was observed due to insufficient heat. Basedonthisthefollowing range of process parameters is selected. 5. TAGUCHI METHOD Incorrect business decisions can have very serious consequences for a company. The decisions that a company makes can be as simple as choosing on what side of a building to install bathrooms, or as complex as what should be the layout of a manufacturing plant, or as serious as whether it should invest millions of dollars in the acquisition of a failing company or not. In any event, when we are confronted with a decision we must choose between at least two alternatives. The choice we make depends on many factors but in quality driven operations, the most important factor is the satisfaction that the customers derive from using the products or services delivered to them. The quality of a product is the result of a combination of factors. If that combination is suboptimal, quality will suffer and the company will lose as a result of rework and repair. The best operations‟ decisions are the result of a strategic thinkingthatconsistsin conducting several experiments, combining relevantfactors in different ways to determine which combination is the best. This process is known in statistics as Design of Experiment (DOE). Optimization of process parameters is the key step in the Taguchi method to achieving high quality without increasing cost. This is because optimization of process parameters can improve quality and the optimal process parameters obtained from the Taguchi method are insensitive to the variation of environmental conditions and other noise factors. Basically, classical process parameter design is complex and not easy to use. An advantage of the Taguchi method is that it emphasizes a mean performance characteristic value close to the target value rather than a value within certain specification limits, thus improving the product quality. Additionally, Taguchi's method for experimental design is straightforward and easy to apply to many engineering situations, making it a powerful yet simple tool. It can be used to quickly narrow the scope of a research project or to identify problems in a manufacturing process from data already in existence. A large number of experiments have to be carried out when the number of the process parameters increases. To solve this task, the Taguchi method uses a special design of orthogonal arrays to study the entire process parameter space with only a small number of experiments. Using an orthogonal array to design the experiment could help the designers to study the influence of multiple controllable factors on the average of quality characteristics and the variations in a fast and economic way, while using a signal-to-noise ratio to analyze the experimental data could help the designers of the product or the manufacturer to easily find out the optimal parametric combinations.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1043 A loss function is then defined to calculate the deviation between the experimental value and the desired value. Taguchi recommends the use of the loss functiontomeasure the deviation of the quality characteristic from the desired value. The value of the overall loss function is further transformed into a signal-to-noise (S/N)ratio.Usually,there are three categories of the quality characteristic in the analysis of the S/N ratio, i.e. the lower-the-better,thelarger- the-better, and the more-nominal-the-better. The S/N ratio for each level of process parameters is computed based on the S/N analysis. Regardless of the category of the quality characteristic, a larger S/N ratio corresponds to a better quality characteristic. Therefore, the optimal level of the process parameters is the level with the highest S/N ratio. Furthermore, a statistical analysis of variance (ANOVA) is performed to see which process parameters are statistically significant. The optimal combination of the process parameters can then be predicted. Finally, a confirmation experiment is conducted to verify the optimal process parameters obtained from the process parameter design. 6. MATERIALS AND METHODOLOGY FOR FSW A. Tungstun Carbide Tool: Tool used in this study for Friction Stir Welding is made whose shank body is made with EN-31&taperedthreesided re-entrant Probe is madeofTungstunCarbidewithfollowing dimensions. Fig-2: FSW Tool Design Photo-1: Actual FSW Tool before welding B. Plate Material: The base materials selected for this investigation were AA6082-T6 and AA6082-T6 aluminium alloys sheets of 6 mm thickness having chemical composition and mechanical properties shown in the Table I In the present study, sheets of size 100mm x 75mm of AA6082-T6 and AA6082-T6 were cut for welding by FSW. Fig-3: Work piece Dimension Photo-2: Aluminium alloy HE30 work piece Table-1: Chemical Composition of HE30 Ele men t M g S i F e C u C r Z n T i M n Ot he r (To tal) Ot he r (Ea ch) A l % 0. 60 - 1. 20 0. 70 - 1. 30 0. 0- 0. 5 0 0. 0- o. 10 0. 0- 0. 2 5 0. 0- 0. 2 0 0. 0- 0. 1 0 0. 40 - 1. 00 0. 0- 0. 15 0. 0- 0. 05 Balan ce 7. EXPERIMENTAL DATA According to the L9 orthogonal array, three experiments in each set of process parameters have been performed on Al- 6082 plates. The three factors used in this experiment are the rotating speed, axial force and travel speed. The experiments are performed on a vertical milling machine which serves to perform the FSW operation.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1044 Table-2: Experimental layout of L9 Orthogonal array Experiment Rotational Speed RPM Travel speed mm/min Axial Force N 1 1400 10 1000 2 1400 20 2000 3 1400 30 3000 4 1500 10 2000 5 1500 20 3000 6 1500 30 1000 7 1600 10 3000 8 1600 20 1000 9 1600 30 2000 Photo-3: Aluminium Plates after FSW Photo-4: FSW Tool after welding Photo-5: Specimen after failure Table-3: The input parameter of orthogonal array and the output characteristics Experiment Rotational Speed RPM Travel speed mm/min Axial Force N Tensile strength (Mpa) 1 1400 10 1000 44.722 2 1400 20 2000 34.922 3 1400 30 3000 42.345 4 1500 10 2000 30.256 5 1500 20 3000 48.074 6 1500 30 1000 48.854 7 1600 10 3000 32.489 8 1600 20 1000 43.407 9 1600 30 2000 59.891 8. RESULT DISCUSSION I.Results of Mechanical Properties of Friction Stir Welded Joint: We weld the mention dimension aluminium alloy HE30- HE30 plates withthementioned processparameterandVMC milling machine nine times withtapercylindrical threesided re-entrant probe tool & then perform tensile strengthtestto the welded joints compare the results and make conclusion. i. S/N Ratio Analysis: In the Taguchi Method, the term ‘signal’ represents the desirable value (mean) for the outputcharacteristicsandthe
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1045 term ‘noise’ represents the undesirable value for the output characteristic. Taguchi uses the S/N ratio to measure the quality characteristicdeviatingfromthedesiredvalue.There are several S/N ratios available depending on type of characteristic: lower is better (LB), nominal is best (NB), larger is better (LB). Larger is better S/N ratio used here. Larger the better quality characteristic was implemented and used in this study. Larger the better characteristic: S/N= -10 log10 (MSD) MSD = (1/Y12 + 1/Y22 + 1/Y32 +................)/n Where Y1, Y2, Y3 are the responses and n is the number of tests in a trial and m is the target value of result. The level of a factor with the highest S/N ratio was the optimumlevel for responses measured. Table-4: S/N ratio of tensile strength of FS Welds Sr. No. RS (RPM) TS (mm/min.) AF (N) UTS (Mpa) S/N Ratio 1 1400 10 1000 44.722 33.0104 2 1400 20 2000 34.922 30.8620 3 1400 30 3000 42.345 32.5360 4 1500 10 2000 30.256 29.6162 5 1500 20 3000 48.074 33.6382 6 1500 30 1000 48.854 33.7780 7 1600 10 3000 32.489 30.2347 8 1600 20 1000 43.407 32.7512 9 1600 30 2000 59.891 35.5472 Photo-6: S/N ratio of tensile strength of FS Welds Table-5: Response table for Signal to Noise Ratios Level RS TS AF 1 32.14 30.95 33.18 2 32.34 32.42 32.01 3 32.84 33.95 32.14 Delta 0.71 3.00 1.17 Rank 3 1 2 Chart-1: Main Effect Plot for SN Ratio Table-6: Response table for Means Level RS TS AF 1 40.66 35.82 45.66 2 42.39 42.13 41.69 3 45.26 50.36 40.97 Delta 4.60 14.54 4.69 Rank 3 1 2 Chart-2: Main Effect Plot for Mean
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1046 ii. OVAT (One Variable at a Time) Analysis: OVAT analysis is very much important tool utilizedwidelyin engineering analysis. A control factors and there levels are selected for experimentation by using OVAT analysis. The main purpose of performing OVAT analysis is to clear that whether the selected process parameters having influence on quality characteristics. OVAT analysisperform byvarying one process parameter from lower to higher value by keeping all other process parameters constants, and measure the effect on quality characteristics. (A) OVAT analysis of Rotational Speed of Tool The level of rotational speed of tool 1400rpm, 1500rpm, 1600rpm is selected. Rotational speedoftool ischanging and remaining other parameter Travel speed, Axial forceputting mean and result Ultimatetensilestrengtharetakenandfrom table 7 it is clear that as rotational speedoftool increases the ultimate tensile strength increases. Hence the Rotational speed of tool is influencing factor on Ultimate tensile strength. Table-7: OVAT analysis of Rotational speed of Tool Rotational Speed (RS), RPM Travel Speed (TS), mm/Min. Axial Force (AF), N Ultimate Tensile Strength (UTS), mpa 1400 20 2000 30 1500 20 2000 40 1600 20 2000 59 Chart-3: Rotational speed vs Ultimate Tensile Strength Effect of Rotational speed of Tool on Ultimate Tensile Strength: Chart-3 shows effect of Rotational speed of tool on Ultimate Tensile Strength. As Rotational speed of tool goes on increasing Ultimate Tensile Strength also increases. (B) OVAT analysis of Travel Speed of Tool The level of Travel speed of tool 10mm/min., 20mm/min., 30mm/min. is selected. Travel speed of tool is changing and remaining other parameter Rotational speed, Axial force putting mean and result Ultimate tensile strength are taken and from table 8 it is clear that as travel speed of tool increases the ultimate tensile strength increases. Hence the Travel speed of tool is influencing factor on Ultimate tensile strength. Table-8: OVAT analysis of Travel speed of Tool Travel Speed (TS), mm/Min. Rotational Speed (RS), RPM Axial Force (AF), N Ultimate Tensile Strength (UTS), mpa 10 1500 2000 30 20 1500 2000 40 30 1500 2000 59 Chart-4: Travel speed vs Ultimate Tensile Strength Effect of Travel speed of Tool on Ultimate Tensile Strength: Chart-4 shows effect of Travel speed of tool on Ultimate Tensile Strength. As Travel speed of tool goes on increasing Ultimate Tensile Strength also increases. (C) OVAT analysis of Axial Force The level of Axial Force of tool 1000 N, 2000 N, 3000 N is selected. Axial Force of tool is changing and remaining other parameter Rotational speed, Travel Speed puttingmeanand result Ultimate tensile strength are taken and from table 9 it is clear that as Axial Force of tool increases the ultimate
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1047 tensile strength increases. Hence the Axial Force of tool is influencing factor on Ultimate tensile strength. Table-9: OVAT analysis of Axial Force Axial Force (AF), N Travel Speed (TS), mm/Min. Rotational Speed (RS), RPM Ultimate Tensile Strength (UTS), mpa 1000 20 1500 30 2000 20 1500 40 3000 20 1500 59 Chart-5: Axial Force vs Ultimate Tensile Strength Effect of Axial Force of Tool on Ultimate Tensile Strength: Chart-5 shows effect of Axial force oftool onUltimate Tensile Strength. As Axial force of tool goes on increasing Ultimate Tensile Strength also increases. 9. CONCLUSIONS The following conclusions have been derived by applying TAGUCHI METHOD on the experimental investigationsof AA 6082-T6 and AA 6082-T6 alloys by FSW. 1. The cylindrical tool with a tapered three-sided re- entrant probe have efficient stirring of the metal and efficient filling of the material inthegapformed during the welding process. Friction stir welding can apply successfully for aluminum alloy HE30- HE30 by VMC machine. 2. FSW window was developed to decide the range of tool rotational speed, welding speedandaxial force. 3. The tensile strength increases with increase in the rotational speed of tool and reaches maximum .The optimum value of process parameters such as rotational speed, traverse speed and axial force are found to be 1600rpm (level 3), 30mm/min(level 3) and 2000 N (level 2) respectively. 4. The Ultimate Tensile strength increases with increase in the Tool Rotational speed and reaches maximum. 5. Also Ultimate Tensile strength increases with increase in the Tool Travel speed and reaches maximum. ACKNOWLEDGEMENT It is pleasure for me to present this paper where guidance plays an invaluable key and provide concrete platform for completion of this paper. I would also like to express my sincere thanks to my guide and PG Coordinator Dr. R. R. Navthar, Dr. K. B. Kale HOD of Department of Mechanical Engineering & Dr. J. Jayakumar Principal of college for providing labs & Testing equipment’s. I also Thankful to Sahyadri Industries (M.I.D.C. Ahmednagar) for giving permission to conduct experimentation (FSW) on VMC. REFERENCES [1] Omid A. Zarga, “Friction Stir Welded Joint Aluminum Alloy H20-H20 with DifferentTypeofToolsMechanical Properties,” American Eurasian Journal of Scientific Research 8 (6), 2013, pp. 270-278. [2] N. T. Kumbhar and K. Bhanumurthy, “Friction Stir Welding of Al 6061 Alloy Materials,” Science Division Bhabha Atomic Research Centre Trombay, Mumbai – 400085, India Asian J. Exp. Sci., Vol. 22, No. 2, 2008; pp. 63-74. [3] P. Murali Krishna, N. ramanaiah and K. Prasada Rao, “Optimization of process parameters for Friction Stir Welding of Dissimilar Aluminium alloys (AA2024-T6 and AA6351-T6) by using Taguchi Method,” International Journal of Industrial Engineering Computations 4 (2013) pp. 71-80. [4] G. Elatharasan and V. S. SenthilKumar,“AnExperimental Analysis and Optimization of process parameters on Friction Stir Welding of AA 6061 – T6 Aluminium Alloy using RSM,” International Conference on DESIGN AND MANUFACTURING,, IConDM 2013, pp. 1227-1234. [5] M. Ghosh, K. Kumar, S.V. Kailas, A. K. Ray, “Optimization of Friction Stir Welding parameters for dissimilar Aluminium Alloys,” Material and Design, 31, (2010), pp. 3033-3037. [6] Pouranvari, M., “TLP Bonding of A Gamma Prime Strengthened Super alloy Using Ni-Si-B Interlayer at 1150°C-Part II: Mechanical Properties,” World Applied Sciences Journal, 15(11), 2011 pp. 1532-1533.
  • 9. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1048 [7] Kumar R., M. Siva Pragash and S. Varghese, “Optimizing the Process Parameters of FSW on AZ31B Mg Alloy by Taguchi-Grey Method,” Middle-EastJournal ofScientific Research, 15 (1), 2013, pp. 161-167. [8] Mustafa Boz, Adem Kurt, “The Influence of Stirrer Geometry on Bonding and Mechanical Properties in friction stir welding process,” Journal of Materials and Design, Volume 25, 2004, pp. 343-347. [9] Sriramula Sai Kumar, P. Satish Kumar, “Characterization and Processing of Friction Stir Welding on Copper Welds,” International Journal ofResearchinEngineering and Technology, Volume: 04, Issue: 11, 2015. [10] A. Pradeep, S. Muthukumaran, “An Analysis to optimize the process parameters of Friction Stir Welded Low Alloy Steel Plates,” International Journal of Engineering, Science and Technology, Vol. 5, No. 3, 2013, pp. 25-35.