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International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015]
Infogain Publication (Infogainpublication.com)
www.ijcmes.com Page | 1
Optimization of Friction Stir Welding
Parameters for Joining Aluminum Pipes Using
Regression Analysis
A.M. Khourshid1
, Ahmed. M. El-Kassas2
, H. M. Hindawy3
, I. Sabry4
1,2,3
Prof. Dr. Production Eng., Faculty of Eng., Tanta University,Egypt
4
Ph.D. Faculty of Eng., Tanta University,Egypt
Abstract— Friction stir welding was a promising welding
technology from the same moment of its existence because
of its easy use, being ecologically friendly processed and
with no need for filler metal. The present paper discusses
the investigate the mechanical properties in order to
demonstrate the feasibility of friction stir welding for
joining Al 6061 aluminum alloy welding was performed
on pipe. The pipe sections, 30mm, and relatively thin
walled 2, 3 and 4 mm. Wire welded as similar alloy joints
using (FSW) process In order to investigate the effect of
rotation speed 485,710, 910, 1120,1400 and 1800 RPM
and travel speeds 4, 8 and 10 mm/min. On mechanical
propertie.
This work also focuses on mathematic models such as
regression analysis (RA) to predict the tensile strength,
the percentage of elongation and hardness of friction stir
welded 6061 aluminum alloy. The Tensile strength, the
percentage of elongation and hardness of weld joints
were predicted by taking the parameters Tool rotation
speed, material thickness and travel speed as a function.
The results obtained through regresion analysis The
models have been proved to be successful in terms of
agreement with experimental results ratio 94.6%.
Keywords— Friction stir welding, Aluminum pipe,
Regression analysis.
I. INTRODUCTION
Developed by The Welding Institute (TWI) [1] the
Friction Stir Welding (FSW) process was invented and
patented in 1991 meaning that in terms of a
manufacturing process it is a relatively new one. FSW is a
modification on an already known method of joining
metal via frictional heating known simply as Friction
welding.
Friction welding (FW), , is a joining process which has
been in development for more than 100 years. This form
of joining is most suited to material which is in rod or
pipe form. It involves rotating or oscillating one rod
whilst keeping the other stationary. The two are brought
together and friction results. This in turn causes heat.
Once sufficient heat has been generated the two rods are
pushed together with a force which forges the two rod
sections together. The excess extruded material from the
circumference of the join can then be removed leaving a
welded section[2].
In FSW the heat is generated by a non-consumable tool
which is rotated at high speed, plunged into and traversed
through the material creating a join at the rear of the tool.
The forging force in this case is the downwards force
exerted by the spindle. The friction stir welding process is
a simple one by its nature. It uses simple technology to
produce state-of-the-art joins in previously difficult to
weld or un-weldable materials [6]. A simple breakdown
of the processing steps result in: Material positioning, tool
plunge, tooling traverse and pull out/run off, these stages
will be described in detail below.
The advantage of hydroforming of FSW tubes is the
tailoring of the starting materials that can vary in
thickness and/or composition to optimize weight or
performance. This tailoring is typically carried out in
stamping by welding sheets of different thickness
together. The blank is then stretch formed and drawn,
resulting in a part with optimized weight [3-6]. Recently,
more, attempts have been made to weld dissimilar
aluminum alloys, which ultimately could provide
flexibility in design as well as optimize strength, weight,
and corrosion resistance [7-9]. To date, no work has been
reported on the welding of tailor welded tubes for
hydroforming
The mechanical properties in order to demonstrate the
feasibility of friction stir welding for joining Al 6061
aluminum alloy welding was performed on pipe with
different thickness 2 ,3 and 4mm, five rotational speeds
(485,710,910,1120,1400 and1800) RPM and a travel
speed (4,8 and 10) mm/min was applied. This work
focuses on regresion analysis to predict the tensile
strength, the percentage of elongation and hardness of
friction stir welded 6061 aluminum alloy.
The tensile strength, the percentage of elongation and
hardness of weld joints were predicted by taking the
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015]
Infogain Publication (Infogainpublication.com)
www.ijcmes.com Page | 2
parameters tool rotation speed, material thickness and
travel speed as a function
II. HEXPERMINTAL WORK
Material: The chemical composition and mechanical
properties of Al 6061 aluminum pipe parts used in the
present study as delivered by the Miser Aluminum
company are given in Tables (1-2).
Table (1) Chemical composition (weight %) of Al 6061
aluminum pipe
Weig
ht %
Al Si Fe C
u
Mi
n
M
g
Cr Zn Ti
6061 Ba
ll
0.
6
0.7
0
0.
2
0.1
5
0.8
0
0.3
3
0.2
3
0.1
2
Table (2) the mechanical properties of Al 6061 aluminum
pipe
Alloy
Ultimate Tensile
Strength
σ UTS M pa
Elongati
on
EL%
Hardness
VHD
6061 252.690 8 86
Design and constructed
Setup friction stir welding: constructed apparatus is
mounted on the drilling press machine bed to the two
work pieces of the studied materials which will be welded
by friction stir welding technique, Fig. (1). Showing
Illustration, Drawing and Construction Setup friction stir
welding for pipe parts
Fig.1: Friction stir welding machine
Tensile Testing:
Tensile testing, also known as tension testing, is a
fundamental material science test in which a sample is
subjected to uniaxial tension until failure. The results
from the test are commonly used to select a material for
an application, for quality control, and to predict how a
material will react under other types of forces. Properties
that are directly measured via a tensile test are ultimate
tensile strength (UTS), maximum elongation (EL %).
Vickers Hardness Testing:
The hardness number is determined by the load over the
surface area of the indentation and not the area normal to
the force, and is therefore not a pressure. The HV number
is then determined by the ratio F/A where F is the force
applied to the diamond in kilograms-force and A is the
surface area of the resulting indentation in square
millimeters.
III. RESULT AND DISCUSSION
Visual inspection of the upper (external surface of
welded specimens) showed uniform semicircular surface
ripples, caused by the final sweep of the trailing edge of
rotating tool shoulder over weld nugget, under the effect
of probe overhead pressure. The presence of such surface
ripples, known as onion rings. Fig. (2-3) shows the
surface appearances of the weld the interface between the
crystallized nugget zone and the parent metal is relatively
diffuse on the retreating side of the tool, but quite sharp
on the advancing side of the tool.
Fig. 2: Exit Pin
Fig. 3: Finished pipe
Tensile Test Results
The quality of the welds was assessed based on
tensile tests, Tensile tests were performed on the base
metal and welded specimens, Transverse tensile
properties such as tensile strength, percentage of
elongation and joint efficiency of the FSW joints have
been evaluated. At each condition three specimens are
tested and average of the results of three specimens was
measured, it can be Inferred that the rotational speed and
thickness are having an influence on tensile properties
of the FSW joints show in Fig. (4-6).
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015]
Infogain Publication (Infogainpublication.com)
www.ijcmes.com Page | 2
parameters tool rotation speed, material thickness and
travel speed as a function
II. HEXPERMINTAL WORK
Material: The chemical composition and mechanical
properties of Al 6061 aluminum pipe parts used in the
present study as delivered by the Miser Aluminum
company are given in Tables (1-2).
Table (1) Chemical composition (weight %) of Al 6061
aluminum pipe
Weig
ht %
Al Si Fe C
u
Mi
n
M
g
Cr Zn Ti
6061 Ba
ll
0.
6
0.7
0
0.
2
0.1
5
0.8
0
0.3
3
0.2
3
0.1
2
Table (2) the mechanical properties of Al 6061 aluminum
pipe
Alloy
Ultimate Tensile
Strength
σ UTS M pa
Elongati
on
EL%
Hardness
VHD
6061 252.690 8 86
Design and constructed
Setup friction stir welding: constructed apparatus is
mounted on the drilling press machine bed to the two
work pieces of the studied materials which will be welded
by friction stir welding technique, Fig. (1). Showing
Illustration, Drawing and Construction Setup friction stir
welding for pipe parts
Fig.1: Friction stir welding machine
Tensile Testing:
Tensile testing, also known as tension testing, is a
fundamental material science test in which a sample is
subjected to uniaxial tension until failure. The results
from the test are commonly used to select a material for
an application, for quality control, and to predict how a
material will react under other types of forces. Properties
that are directly measured via a tensile test are ultimate
tensile strength (UTS), maximum elongation (EL %).
Vickers Hardness Testing:
The hardness number is determined by the load over the
surface area of the indentation and not the area normal to
the force, and is therefore not a pressure. The HV number
is then determined by the ratio F/A where F is the force
applied to the diamond in kilograms-force and A is the
surface area of the resulting indentation in square
millimeters.
III. RESULT AND DISCUSSION
Visual inspection of the upper (external surface of
welded specimens) showed uniform semicircular surface
ripples, caused by the final sweep of the trailing edge of
rotating tool shoulder over weld nugget, under the effect
of probe overhead pressure. The presence of such surface
ripples, known as onion rings. Fig. (2-3) shows the
surface appearances of the weld the interface between the
crystallized nugget zone and the parent metal is relatively
diffuse on the retreating side of the tool, but quite sharp
on the advancing side of the tool.
Fig. 2: Exit Pin
Fig. 3: Finished pipe
Tensile Test Results
The quality of the welds was assessed based on
tensile tests, Tensile tests were performed on the base
metal and welded specimens, Transverse tensile
properties such as tensile strength, percentage of
elongation and joint efficiency of the FSW joints have
been evaluated. At each condition three specimens are
tested and average of the results of three specimens was
measured, it can be Inferred that the rotational speed and
thickness are having an influence on tensile properties
of the FSW joints show in Fig. (4-6).
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015]
Infogain Publication (Infogainpublication.com)
www.ijcmes.com Page | 4
increasing the rotational speed. Such observation could
be understood in the light of relative increase in the
degree of plastic deformation an frictional heat generate
at higher rotational speeds, which effect the dynamic
crystallization as well as the dynamic recovery at the
TMAZ . In general, the Hardness decreases from the base
metal towards the weld centerline show in fig (10-12).
IV. MATHEMTICAL MODLING
Regression analysis
The tensile strength of the joints is the function of
rotational speed, welding speed, and axial force and it can
be expressed as
Y = f (N, T, F)
Where
Y-The response.
N- Rotational speed (RPM).
T- material thickness,.
F – travel speed (mm/min).
For the three factors, the selected polynomial (regression)
could be expressed as
Y = k+ aN + bT + cF
Where k is the free term of the regression equation, the
coefficients a, b, and c are linear terms [12-18]
Table (3): Estimated regression coefficients of
mathematical models (Al 6061)
Regression
Coefficients
Tensile
Strength
Elongation% Hardness
k 160 5 62
A 0.036 0.001 0.009
B 7.05 0.542 3.67
C -1.44 -0.067 0.604
MINITAB 15 Software Packages are used to calculate
the values of these coefficients for different responses.
After determining the coefficients, the mathematical
models are developed. The developed final mathematical
model equations in the coded form are given below:
Tensile strength = 160 + 0.0364 (N) -7.05 (T) - 1.44 (F)
Elongation % = 5 - 0.001 (N) + 0.542 (T) + 0.067 (F)
Hardness(VH) = 62 + 0.0099 (N) - 3. 67 (T) - 0.604 (F)
The validity of regression models developed is tested by
drawing scatter diagrams. Typical scatter diagrams for all
the models are presented in Fig. (13-15). The observed
values and predicted values of the responses are scattered
close to the 45° line, indicating an almost perfect fit of the
developed empirical models.
Fig. 13: Relation between experimental tensile strength
and predicted tensile strength
Fig. 14: Relation between experimental elongation% and
predicted elongation%
Fig.15: Relation between experimental hardness and
predicted hardness
V. CONCLUSION
1. The FSW weld efficiency increase with increase
rotation speed and decrease travel speed.
2. The FSW efficiency increases with decrease the
material thickness.
3. The joint efficiency of FS welded(ratio of ultimate
tensile strength of welded joint to that of the base
material was found 80 , 78% and 76% for 6061 at
thickness 2,3and 4mm.
4. The hardness values decrease gradually across the
weld, with the minimum hardness value in the weld
center or weld nugget.
5. A regression analysis model has been developed for
the prediction of tensile strength and hardness as a
function of rotation speed, material thickness and
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015]
Infogain Publication (Infogainpublication.com)
www.ijcmes.com Page | 5
travel speed. The models have been proved to be
successful in terms of agreement with experimental
results ratio 94.6% .
REFERENCES
[1] Friction-stir butt welding; GB Patent No. 9125978.8,
International patent application No.
PCT/GB92/02203; W M Thomas, E D Nicholas, J C
Needham, M G Murch, P Temple-Smith, C J
Dawes; 1991
[2] Bobbin-Tool Friction-Stir Welding of Thick-Walled
Aluminum Alloy Pressure Vessels; E N Dalder, J W
Pastrnak, J Engel, R S Forrest, E Kokko, K Mc
Ternan, D Waldron; Welding Journal (AWS), April
2008, 40-44
[3] G. Ambrogio, L. Fratini, F. Micari, Incremental
forming of friction stir welded taylored sheets, in:
Proceedings of 8th
Biennial ASME Conference on
Engineering Systems Design and Analysis,
ESDA2006, 2006.
[4] Zeng, W. M., Wu, H. L., and Zhang, J. (2006).
"Effect of tool wear on microstructure, mechanical
properties and acoustic emission of friction stir
welded 6061 Al alloy." Acta Metallurgica Sinica
19(1): 9-19.
[5] Xiao, M., Sato, K., Karube, S., and Soutome, T.
(2003). "The effect of tool nose radius in ultrasonic
vibration cutting of hard metal." International
journal of machine tools & manufacture 43(13):
1375-82.
[6] Neugebauer, R. and Stoll, A. (2004). "Ultrasonic
application in drilling." Journal of materials
processing technology 149(1): 633-9.
[7] Thomas, W.M., Nicholas, E.D., Smith, S.D.,
“Friction stir welding- tool developments”,
Aluminum Joining Symposiums, 2001 TMS Annual
Meeting, 11-15.
[8] L. Dubourg , J. Gholipour, M. Jahazi ,Aerospace
Manufacturing Technology Centre, Institute for
Aerospace Research National Research Council
Canada "Friction Stir Welding of 2024-T3
Aluminum Tubes For Hydroforming Application"
2009
[9] Zeng, W. M., Wu, H. L., and Zhang, J. (2006).
"Effect of tool wear on mechanical properties and
acoustic emission of friction stir welded 6061 Al
alloy." ActaMetallurgicaSinica 19 (1): 9-19.
[10]R. Plaintively, P. Koshy Mathews and N. Murugan
“Development of mathematical models to predict the
mechanical properties of friction stir welded
AA6351 aluminum alloy” Journal of Engineering
Science and Technology Review 4 (1) (2011) 25-31
[11]ZHANG Z, FRIEDRICH K. Artificial neural
networks applied to polymer composites: A review
[J]. Composites Science and Technology, 2003, 63:
2029−2044. 14. ARCAKHOGLU E, CAVUSOGLU
A, ERISEN A. Thermodynamic analyses of
refrigerant mixtures using artificial neural networks
[J]. Applied Energy, 2004, 78: 219−230.
[12]D. Kanakaraja and P. Hema, International Journal of
Mechanical Engineering and Technology
Comparative study on different pin geometries of
tool profile in friction stir welding using artificial
neural networks, (IJMET), ISSN 0976 – 6340
(Print), ISSN 0976 – 6359 (Online) Volume 4, Issue
2, March - April (2013)
[13]S. Ramasamy, D. Gould and Workman, "Design of
experiments study to examine the effect of polarity
on stud welding", Welding Journal, 81, 19- 26,
(2002).
[14]I. S. Kim, K. J. Son, Y. S. Yang and P. K. D. V.
Karaganda, "Sensitivity analysis for process
parameter parameters in GMA welding process
using factorial design method", International Journal
of machine tools and manufacture”, (2003). 43, 763-
776.
[15]D. Kanakaraja and P. Hem a, "Comparative study on
different pin geometries of tool profile in friction stir
welding using artificial neural networks",
International Journal of Mechanical Engineering and
Technology , (IJMET), ISSN 0976 – 6340(Print),
ISSN 0976 – 6359(Online) Volume 4, Issue 2,
March - April (2013)
[16]Arcakhoglue, Cavusoglu A, Erisen A.
"Thermodynamic analyses of refrigerant mixtures
using artificial neural networks”, Applied Energy,
2004, 78: 219−230.
[17]Zhang Z, Friedrich K. "Artificial neural networks
applied to polymer composites": A review [J].
Composites Science and Technology, 2003, 63:
2029−2044. 14.
[18]A. M. Khourshid and I. Sabry, " friction stir welding
study on aluminum pipe”, international journal of
mechanical engineering and robotics research .2013

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1 ijcmes dec-2015-17-optimization of friction stir welding parameters for joining aluminum pipes using regression analysis

  • 1. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015] Infogain Publication (Infogainpublication.com) www.ijcmes.com Page | 1 Optimization of Friction Stir Welding Parameters for Joining Aluminum Pipes Using Regression Analysis A.M. Khourshid1 , Ahmed. M. El-Kassas2 , H. M. Hindawy3 , I. Sabry4 1,2,3 Prof. Dr. Production Eng., Faculty of Eng., Tanta University,Egypt 4 Ph.D. Faculty of Eng., Tanta University,Egypt Abstract— Friction stir welding was a promising welding technology from the same moment of its existence because of its easy use, being ecologically friendly processed and with no need for filler metal. The present paper discusses the investigate the mechanical properties in order to demonstrate the feasibility of friction stir welding for joining Al 6061 aluminum alloy welding was performed on pipe. The pipe sections, 30mm, and relatively thin walled 2, 3 and 4 mm. Wire welded as similar alloy joints using (FSW) process In order to investigate the effect of rotation speed 485,710, 910, 1120,1400 and 1800 RPM and travel speeds 4, 8 and 10 mm/min. On mechanical propertie. This work also focuses on mathematic models such as regression analysis (RA) to predict the tensile strength, the percentage of elongation and hardness of friction stir welded 6061 aluminum alloy. The Tensile strength, the percentage of elongation and hardness of weld joints were predicted by taking the parameters Tool rotation speed, material thickness and travel speed as a function. The results obtained through regresion analysis The models have been proved to be successful in terms of agreement with experimental results ratio 94.6%. Keywords— Friction stir welding, Aluminum pipe, Regression analysis. I. INTRODUCTION Developed by The Welding Institute (TWI) [1] the Friction Stir Welding (FSW) process was invented and patented in 1991 meaning that in terms of a manufacturing process it is a relatively new one. FSW is a modification on an already known method of joining metal via frictional heating known simply as Friction welding. Friction welding (FW), , is a joining process which has been in development for more than 100 years. This form of joining is most suited to material which is in rod or pipe form. It involves rotating or oscillating one rod whilst keeping the other stationary. The two are brought together and friction results. This in turn causes heat. Once sufficient heat has been generated the two rods are pushed together with a force which forges the two rod sections together. The excess extruded material from the circumference of the join can then be removed leaving a welded section[2]. In FSW the heat is generated by a non-consumable tool which is rotated at high speed, plunged into and traversed through the material creating a join at the rear of the tool. The forging force in this case is the downwards force exerted by the spindle. The friction stir welding process is a simple one by its nature. It uses simple technology to produce state-of-the-art joins in previously difficult to weld or un-weldable materials [6]. A simple breakdown of the processing steps result in: Material positioning, tool plunge, tooling traverse and pull out/run off, these stages will be described in detail below. The advantage of hydroforming of FSW tubes is the tailoring of the starting materials that can vary in thickness and/or composition to optimize weight or performance. This tailoring is typically carried out in stamping by welding sheets of different thickness together. The blank is then stretch formed and drawn, resulting in a part with optimized weight [3-6]. Recently, more, attempts have been made to weld dissimilar aluminum alloys, which ultimately could provide flexibility in design as well as optimize strength, weight, and corrosion resistance [7-9]. To date, no work has been reported on the welding of tailor welded tubes for hydroforming The mechanical properties in order to demonstrate the feasibility of friction stir welding for joining Al 6061 aluminum alloy welding was performed on pipe with different thickness 2 ,3 and 4mm, five rotational speeds (485,710,910,1120,1400 and1800) RPM and a travel speed (4,8 and 10) mm/min was applied. This work focuses on regresion analysis to predict the tensile strength, the percentage of elongation and hardness of friction stir welded 6061 aluminum alloy. The tensile strength, the percentage of elongation and hardness of weld joints were predicted by taking the
  • 2. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015] Infogain Publication (Infogainpublication.com) www.ijcmes.com Page | 2 parameters tool rotation speed, material thickness and travel speed as a function II. HEXPERMINTAL WORK Material: The chemical composition and mechanical properties of Al 6061 aluminum pipe parts used in the present study as delivered by the Miser Aluminum company are given in Tables (1-2). Table (1) Chemical composition (weight %) of Al 6061 aluminum pipe Weig ht % Al Si Fe C u Mi n M g Cr Zn Ti 6061 Ba ll 0. 6 0.7 0 0. 2 0.1 5 0.8 0 0.3 3 0.2 3 0.1 2 Table (2) the mechanical properties of Al 6061 aluminum pipe Alloy Ultimate Tensile Strength σ UTS M pa Elongati on EL% Hardness VHD 6061 252.690 8 86 Design and constructed Setup friction stir welding: constructed apparatus is mounted on the drilling press machine bed to the two work pieces of the studied materials which will be welded by friction stir welding technique, Fig. (1). Showing Illustration, Drawing and Construction Setup friction stir welding for pipe parts Fig.1: Friction stir welding machine Tensile Testing: Tensile testing, also known as tension testing, is a fundamental material science test in which a sample is subjected to uniaxial tension until failure. The results from the test are commonly used to select a material for an application, for quality control, and to predict how a material will react under other types of forces. Properties that are directly measured via a tensile test are ultimate tensile strength (UTS), maximum elongation (EL %). Vickers Hardness Testing: The hardness number is determined by the load over the surface area of the indentation and not the area normal to the force, and is therefore not a pressure. The HV number is then determined by the ratio F/A where F is the force applied to the diamond in kilograms-force and A is the surface area of the resulting indentation in square millimeters. III. RESULT AND DISCUSSION Visual inspection of the upper (external surface of welded specimens) showed uniform semicircular surface ripples, caused by the final sweep of the trailing edge of rotating tool shoulder over weld nugget, under the effect of probe overhead pressure. The presence of such surface ripples, known as onion rings. Fig. (2-3) shows the surface appearances of the weld the interface between the crystallized nugget zone and the parent metal is relatively diffuse on the retreating side of the tool, but quite sharp on the advancing side of the tool. Fig. 2: Exit Pin Fig. 3: Finished pipe Tensile Test Results The quality of the welds was assessed based on tensile tests, Tensile tests were performed on the base metal and welded specimens, Transverse tensile properties such as tensile strength, percentage of elongation and joint efficiency of the FSW joints have been evaluated. At each condition three specimens are tested and average of the results of three specimens was measured, it can be Inferred that the rotational speed and thickness are having an influence on tensile properties of the FSW joints show in Fig. (4-6).
  • 3. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015] Infogain Publication (Infogainpublication.com) www.ijcmes.com Page | 2 parameters tool rotation speed, material thickness and travel speed as a function II. HEXPERMINTAL WORK Material: The chemical composition and mechanical properties of Al 6061 aluminum pipe parts used in the present study as delivered by the Miser Aluminum company are given in Tables (1-2). Table (1) Chemical composition (weight %) of Al 6061 aluminum pipe Weig ht % Al Si Fe C u Mi n M g Cr Zn Ti 6061 Ba ll 0. 6 0.7 0 0. 2 0.1 5 0.8 0 0.3 3 0.2 3 0.1 2 Table (2) the mechanical properties of Al 6061 aluminum pipe Alloy Ultimate Tensile Strength σ UTS M pa Elongati on EL% Hardness VHD 6061 252.690 8 86 Design and constructed Setup friction stir welding: constructed apparatus is mounted on the drilling press machine bed to the two work pieces of the studied materials which will be welded by friction stir welding technique, Fig. (1). Showing Illustration, Drawing and Construction Setup friction stir welding for pipe parts Fig.1: Friction stir welding machine Tensile Testing: Tensile testing, also known as tension testing, is a fundamental material science test in which a sample is subjected to uniaxial tension until failure. The results from the test are commonly used to select a material for an application, for quality control, and to predict how a material will react under other types of forces. Properties that are directly measured via a tensile test are ultimate tensile strength (UTS), maximum elongation (EL %). Vickers Hardness Testing: The hardness number is determined by the load over the surface area of the indentation and not the area normal to the force, and is therefore not a pressure. The HV number is then determined by the ratio F/A where F is the force applied to the diamond in kilograms-force and A is the surface area of the resulting indentation in square millimeters. III. RESULT AND DISCUSSION Visual inspection of the upper (external surface of welded specimens) showed uniform semicircular surface ripples, caused by the final sweep of the trailing edge of rotating tool shoulder over weld nugget, under the effect of probe overhead pressure. The presence of such surface ripples, known as onion rings. Fig. (2-3) shows the surface appearances of the weld the interface between the crystallized nugget zone and the parent metal is relatively diffuse on the retreating side of the tool, but quite sharp on the advancing side of the tool. Fig. 2: Exit Pin Fig. 3: Finished pipe Tensile Test Results The quality of the welds was assessed based on tensile tests, Tensile tests were performed on the base metal and welded specimens, Transverse tensile properties such as tensile strength, percentage of elongation and joint efficiency of the FSW joints have been evaluated. At each condition three specimens are tested and average of the results of three specimens was measured, it can be Inferred that the rotational speed and thickness are having an influence on tensile properties of the FSW joints show in Fig. (4-6).
  • 4. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015] Infogain Publication (Infogainpublication.com) www.ijcmes.com Page | 4 increasing the rotational speed. Such observation could be understood in the light of relative increase in the degree of plastic deformation an frictional heat generate at higher rotational speeds, which effect the dynamic crystallization as well as the dynamic recovery at the TMAZ . In general, the Hardness decreases from the base metal towards the weld centerline show in fig (10-12). IV. MATHEMTICAL MODLING Regression analysis The tensile strength of the joints is the function of rotational speed, welding speed, and axial force and it can be expressed as Y = f (N, T, F) Where Y-The response. N- Rotational speed (RPM). T- material thickness,. F – travel speed (mm/min). For the three factors, the selected polynomial (regression) could be expressed as Y = k+ aN + bT + cF Where k is the free term of the regression equation, the coefficients a, b, and c are linear terms [12-18] Table (3): Estimated regression coefficients of mathematical models (Al 6061) Regression Coefficients Tensile Strength Elongation% Hardness k 160 5 62 A 0.036 0.001 0.009 B 7.05 0.542 3.67 C -1.44 -0.067 0.604 MINITAB 15 Software Packages are used to calculate the values of these coefficients for different responses. After determining the coefficients, the mathematical models are developed. The developed final mathematical model equations in the coded form are given below: Tensile strength = 160 + 0.0364 (N) -7.05 (T) - 1.44 (F) Elongation % = 5 - 0.001 (N) + 0.542 (T) + 0.067 (F) Hardness(VH) = 62 + 0.0099 (N) - 3. 67 (T) - 0.604 (F) The validity of regression models developed is tested by drawing scatter diagrams. Typical scatter diagrams for all the models are presented in Fig. (13-15). The observed values and predicted values of the responses are scattered close to the 45° line, indicating an almost perfect fit of the developed empirical models. Fig. 13: Relation between experimental tensile strength and predicted tensile strength Fig. 14: Relation between experimental elongation% and predicted elongation% Fig.15: Relation between experimental hardness and predicted hardness V. CONCLUSION 1. The FSW weld efficiency increase with increase rotation speed and decrease travel speed. 2. The FSW efficiency increases with decrease the material thickness. 3. The joint efficiency of FS welded(ratio of ultimate tensile strength of welded joint to that of the base material was found 80 , 78% and 76% for 6061 at thickness 2,3and 4mm. 4. The hardness values decrease gradually across the weld, with the minimum hardness value in the weld center or weld nugget. 5. A regression analysis model has been developed for the prediction of tensile strength and hardness as a function of rotation speed, material thickness and
  • 5. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-1, Issue-1, Nov-Dec, 2015] Infogain Publication (Infogainpublication.com) www.ijcmes.com Page | 5 travel speed. The models have been proved to be successful in terms of agreement with experimental results ratio 94.6% . REFERENCES [1] Friction-stir butt welding; GB Patent No. 9125978.8, International patent application No. PCT/GB92/02203; W M Thomas, E D Nicholas, J C Needham, M G Murch, P Temple-Smith, C J Dawes; 1991 [2] Bobbin-Tool Friction-Stir Welding of Thick-Walled Aluminum Alloy Pressure Vessels; E N Dalder, J W Pastrnak, J Engel, R S Forrest, E Kokko, K Mc Ternan, D Waldron; Welding Journal (AWS), April 2008, 40-44 [3] G. Ambrogio, L. Fratini, F. Micari, Incremental forming of friction stir welded taylored sheets, in: Proceedings of 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, 2006. [4] Zeng, W. M., Wu, H. L., and Zhang, J. (2006). "Effect of tool wear on microstructure, mechanical properties and acoustic emission of friction stir welded 6061 Al alloy." Acta Metallurgica Sinica 19(1): 9-19. [5] Xiao, M., Sato, K., Karube, S., and Soutome, T. (2003). "The effect of tool nose radius in ultrasonic vibration cutting of hard metal." International journal of machine tools & manufacture 43(13): 1375-82. [6] Neugebauer, R. and Stoll, A. (2004). "Ultrasonic application in drilling." Journal of materials processing technology 149(1): 633-9. [7] Thomas, W.M., Nicholas, E.D., Smith, S.D., “Friction stir welding- tool developments”, Aluminum Joining Symposiums, 2001 TMS Annual Meeting, 11-15. [8] L. Dubourg , J. Gholipour, M. Jahazi ,Aerospace Manufacturing Technology Centre, Institute for Aerospace Research National Research Council Canada "Friction Stir Welding of 2024-T3 Aluminum Tubes For Hydroforming Application" 2009 [9] Zeng, W. M., Wu, H. L., and Zhang, J. (2006). "Effect of tool wear on mechanical properties and acoustic emission of friction stir welded 6061 Al alloy." ActaMetallurgicaSinica 19 (1): 9-19. [10]R. Plaintively, P. Koshy Mathews and N. Murugan “Development of mathematical models to predict the mechanical properties of friction stir welded AA6351 aluminum alloy” Journal of Engineering Science and Technology Review 4 (1) (2011) 25-31 [11]ZHANG Z, FRIEDRICH K. Artificial neural networks applied to polymer composites: A review [J]. Composites Science and Technology, 2003, 63: 2029−2044. 14. ARCAKHOGLU E, CAVUSOGLU A, ERISEN A. Thermodynamic analyses of refrigerant mixtures using artificial neural networks [J]. Applied Energy, 2004, 78: 219−230. [12]D. Kanakaraja and P. Hema, International Journal of Mechanical Engineering and Technology Comparative study on different pin geometries of tool profile in friction stir welding using artificial neural networks, (IJMET), ISSN 0976 – 6340 (Print), ISSN 0976 – 6359 (Online) Volume 4, Issue 2, March - April (2013) [13]S. Ramasamy, D. Gould and Workman, "Design of experiments study to examine the effect of polarity on stud welding", Welding Journal, 81, 19- 26, (2002). [14]I. S. Kim, K. J. Son, Y. S. Yang and P. K. D. V. Karaganda, "Sensitivity analysis for process parameter parameters in GMA welding process using factorial design method", International Journal of machine tools and manufacture”, (2003). 43, 763- 776. [15]D. Kanakaraja and P. Hem a, "Comparative study on different pin geometries of tool profile in friction stir welding using artificial neural networks", International Journal of Mechanical Engineering and Technology , (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) [16]Arcakhoglue, Cavusoglu A, Erisen A. "Thermodynamic analyses of refrigerant mixtures using artificial neural networks”, Applied Energy, 2004, 78: 219−230. [17]Zhang Z, Friedrich K. "Artificial neural networks applied to polymer composites": A review [J]. Composites Science and Technology, 2003, 63: 2029−2044. 14. [18]A. M. Khourshid and I. Sabry, " friction stir welding study on aluminum pipe”, international journal of mechanical engineering and robotics research .2013