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Procedia Engineering 97 ( 2014 ) 775 – 782

1877-7058 © 2014 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Selection and peer-review under responsibility of the Organizing Committee of GCMM 2014 doi: 10.1016/j.proeng.2014.12.308

ScienceDirect

12th GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT, GCMM 2014

Parameter Optimization of Friction Stir Welding Of AA8011-6062

Using Mathematical Method

C.Elanchezhian

a*,

B.Vijaya Ramnath

b

, P.Venkatesan

c

, S.Sathish

d

,T.Vignesh

e

,

R.V.Siddharth

f

, B.Vinay

g

, K. Gopinath

h

abProfessor, Sri SaiRam Engineering college, Chennai-600 044, India. cdeghfStudent, Sri SaiRam Engineering college, Chennai-600 044, India.

Abstract

The basic principle of Friction stir welding (FSW) is heating the metal to a temperature below the re-crystallization temperature thus reducing the welding crack such as porosity band hot crack with are commonly formed in the conventional welding method due to alloy’s low crystallization temperature and high heat dissipation nature. The quality of friction welding is good when compared to other fusion welding technique. The main influence parameter in FSW is rotational speed welding traversing speed and pressure applied against the joint. AA6061 and AA8011 aluminium alloy has high strength to weight ratio. They have main application in the field of marine, aerospace and automobiles. As it is difficult to perform number of experiments to find out the level combinations which yield good mechanical properties like tensile strength, impact strength and hardness number, Taguchi L9 orthogonal array is used to reduce the number of experiment. The material is bought and are cut into specific material and polished. They are then welded based on the different experiment obtained from Taguchi method. After welding is done the metals are cut as per the specific standard. The results are then analyzed by using ANOVA statistical tools. ANOVA table clearly shows the percentage of contribution of each factors can be determined. The best welding quality is found out by comparing the result obtained from tensile testing, impact testing and by micro-hardness testing. Scanning Electron Microscope (SEM) technique was used to examine the quality of surface texture.

© 2014 The Authors.Published by Elsevier Ltd.

Selection and peer-review under responsibility of the Organizing Committee of GCMM 2014.

Keywords:Friction Stir Welding (FSW),ANOVA,Taguchi,Scanning Electron Microscope (SEM)

* Corresponding author. Tel.: 91-984-171-5119

E-mail address: elanchezhian.mech@sairam.edu.in

© 2014 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

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1. Introduction:

Friction-stir welding (FSW) is a solid-state joining process (the metal is not melted) that uses a third body tool to join two faying surfaces. Heat is generated between the tool and material which leads to a very soft region near the FSW tool. It then mechanically intermixes the two pieces of metal at the place of the join, then the softened metal (due to the elevated temperature) can be joined using mechanical pressure (which is applied by the tool), much like joining clay, or dough. The welding parameters and tool pin profile play a major role in deciding the weld qualityAA6061 aluminium alloy has gathered wide acceptance in the fabrication of light weight structures requiring a high strength-to-weight ratio. AA8011 aluminium alloy uses friction stir welding (FSW) process which is a solid-state joining process in which the material that is being welded does not melt and friction stir welding is a solid state joining process invented in TWI in Cambridge, England in 1991 firstly for joining aluminium alloys [1]. In aircraft and automotive structures friction stir welded lap joints have been widely used with the aim to replace riveted lap joints by using aluminium alloys from 2XXX to 7XXX series. Rivet holes are often potential sites for crack initiation or corrosion problems; moreover, the elimination of fasteners leads to considerable weight and cost savings. A few examples of FSW joints applied in automotive industries are some applications include engines, wheel rims and lap joints in car back supports [2-3]. Since, in FSW process, the joint is permanent a specially designed inconsumable rotating shouldered tool pin into the interface of two pieces of sheets and moving it along the weld line to heat and stir the sheets' materials by producing friction between the shoulder and the sheet surface and also the material flow by the pin movement. As the tool moves through the weld line, the heated materials of two sheets flow and mix together without melting and make the welded joint [4]. The kissing bond defect is resulted by insufficient heat transferred to the interface of sheets that leads to produce separated interfaces with remained oxide layers among them. This defect usually occurs at the retreating side because of its lower temperature during friction stir welding [5]. FSW the joining process is accomplished by material flow below the melting temperature, many joint defects caused by joint material melting such as porosity, grain boundary cracks and alloys segregation can be eliminated or adequately reduced. These process specialties have made FSW very practical for joining dissimilar alloys. Lately some researchers have been performed on friction stir welding of dissimilar aluminum lap joints [6, 7].AA5083 is a strain hardening structural alloy that is widely used in aerospace, marine and military industries mostly because of its light weight, admissible weld ability and elite corrosion resistance [8]. Some recent researches have studied friction stir welding of this aluminum alloy in similar or dissimilar joints [9-12].The FSW joint normally affected by lot of parameters.Some important parameters are shape and geometry of the tool, tool tilt angle and also the rotational and welding speeds of the tool during the process. Tool rotational and welding speeds are two FSW critical parameters particularly for adjusting the welding temperature. Low welding temperature may produce insufficiently stirred sheet interface and cause many defects like kissing bonds and extremely high welding temperature may lead to unexpected joint microstructure or alloys melting [13]. Arunkumar et al. [14] investigated the process parameter of friction stir welding AA7075 Aluminium alloy and concludes that the welding speed has the most influence on Impact strength.VijayaRamnath et al. [15] evaluated the mechanical properties of aluminium alloy with boron carbide the result concluded that aluminium alloy has better property than the alloys.

2. Methodology

2.1 Experimental design

The parameters identified for investigation are tool rotation speed, welding speed, axial force. The selected process parameter and their levels are shown in table 1.This is the design of experiment by which the works are done

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Table 1 Process parameter and their levels.

2.2 Taguchi’s method

Taguchi’s method is a tool for design of a high quality system. This method is a systematic approach for performance and quality optimization. By this method the number of experiment is reduced to 9. The total degree of freedom must be calculated to choose the correct orthogonal array. The degree of freedom for the orthogonal array should be greater than or at least equal to those for the process parameters. So, L9 orthogonal array was selected which has a degree of freedom of 8. Nine experimental runs were conducted as per Taguchi L9 orthogonal array.

2.3 ANOVA analysis

Analysis of Variance (ANOVA) is a statistical method which is used to discuss the relative importance of the entire control factor. They are also used to find the contribution of each parameter. F-test proposed by Fisher is used as an auxiliary tool of inspection. Thus, the larger the value of f-test the more dominant the parameters are.

2.4 S/N ratio

Taguchi also recommended to analyse the valued using S/N ratio. It involves conceptual approach which graphs the effect and identifies the significant values.

3. Experimental Procedure

Process Involved the following processes of operations were adopted while carrying out the Friction Stir Welding.

1. Cutting, 2. Job Preparation, 3. Welding. x Cutting:

The base metal sheets of dimensions 160 mm*50mm were cut by using shearing machine. x Job Preparation:

Edges of sheared faces were grinded to get good finish and checked and ensured for perpendicularity. The initial joint configuration is securing the plates in position using mechanical clamps.

Symbol

Drilling Parameter

Level 1 Level 2 Level 3

N

Tool rotation speed(rpm)

1200

1300

1400

S

Welding speed (mm/min)

75

100

125

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x Welding:

The direction of welding is normal to the rolling direction. Single pass welding procedures are used to fabricate the joints. Non-Consumable cylindrical tool is made up of high carbon steel. It is used to fabricate the joints. A non-consumable rotating tool is specially designed by pin and shoulder to insert into the abutting edges of sheets or plates to be joined and traversed along the line of the joint.

The primary functions of the tools are: 1. Heating the work piece

2. Movement of material to form joints

Plastic deformation of the work piece is achieved by the friction produced between the tool and the work piece. The high heat which is produce softens the material around the pin. The combined effect of tool rotation and translation leads to movement of materials from front to the back of the pin. Thus a “solid state” join is formed. During the friction stir welding process the material undergoes a plastic deformation at high temperature which results in generation of fine and equalled re-crystallized grains. Good mechanical properties of the work piece are due to the fine microstructure achieved through friction stir welding process. Since FSW has good energy efficiency, versatility and environmental friendliness thus they are considered to be a GREEN technology. The experimental setup of FSW is shown in figure 1.

Figure 1 Friction stir weld on the dissimilar aluminium metal alloy

The stirring and mixing of materials around the rotating pin is done by the rotation of tools thus stirrers material from the front to the back of the pin and finishes the welding process. Since the tool rotates at high speed it generates high temperature because of higher friction heating and result in more intense stirring and mixing of material. Thus increases in heat are directly proportional with the tool rotation rate is not expected as the coefficient of friction at interface will change with increasing tool rotation rate. Table 2 shows the different experiments conducted based on taguchi’s L9 orthogonal array and the test results.

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Table 2: Experimental results Ex. No Tool Rotational Speed(N) in r.p.m Welding Speed(S) in mm/min Axial Force (F) in KN Impact Strength (Joules) Tensile Strength (K) Joules/mm2 S/N ratio of Impact strength S/N ratio of tensile strength 1 1200 75 5 44 65.44 32.86 36.31 2 1200 100 6 29 87.12 29.25 38.80 3 1200 125 7 36 111.29 31.13 40.92 4 1300 75 6 22 87.37 26.85 38.82 5 1300 100 7 32 112.45 30.10 41.01 6 1300 125 5 22 104.55 26.84 40.38 7 1400 75 7 24 153.44 27.60 43.71 8 1400 100 5 41 74.45 32.25 37.43 9 1400 125 6 30 79.45 29.54 38.00

4. Result and discussion 4.1 Impact Strength

The amount of energy absorbed by the body without being fractured is called impact strength. Impact test were performed on charpy machine, according to the specification of ASTM E-23 specification. Thus, when the amount of energy absorbed by the material is greater the tendency of the material to fracture gets reduced. Table 3 shows the ANOVA table of impact strength.

Table 3 ANOVA table for impact strength Source Degree of Freedom Sum of Squares Mean of

Squares F-test P-test

Contribution % N 2 182.89 91.44 1.04 .491 35.79 S 2 38.22 19.11 .22 0.822 7.48 F 2 113.56 56.78 .64 .608 22.22 Error 2 176.22 88.11 34.49 Total 8 510.89

From the table 3 we can conclude that the tool rotational speed has a contribution of 35.79% followed by axial force which has a contribution of 22.22%. Among these three speed of the welding has the lowest percentage of 7.48. The optimum process parameter can be found by response table (table 4).

Table 4 Response table forImpact strength

Level Tool rotation speed Welding speed Axial Force

1 36.33 30.00 35.67

2 25.33 34.00 27.00

3 31.67 29.33 30.67

Delta 11.00 4.67 8.67

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1400 1300 1200 31 30 29 28 125 100 75 7 6 5 31 30 29 28 N M e a n of S N r a ti os S F

Main Effects Plot for SN ratios

Data Means

Signal-to-noise: Larger is better

Figure 2. Main effect plot for Impact strength

From the table 4 and figure 2 it can be concluded that tool rotational speed of 1200 r.p.m, welding speed of 100 mm/min and Axial force of 5 KN is the optimum machining condition to get a good impact strength.

4.2 Tensile strength

Tensile strength or ultimate strength is the maximum stress that a material can withstand while being stretched or pulled before failing or breaking. The value of the test specimen does not depend on the size of the work piece but it spends on factors like surface finish, the temperature of the test environment etc. Tensile testing of material was carried out at ASTM E8M-04.Thus we need larger tensile strength to make the material withstand while stretched or pulled. Thus we use Larger the better to calculate S/N ratio. Table 5 shows the ANOVA table for Tensile strength.

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1400 1300 1200 42 41 40 39 38 125 100 75 7 6 5 42 41 40 39 38 N Me a n o f S N r a ti o s S F

Main Effects Plot for SN ratios

Data Means

Signal-to-noise: Larger is better

Table 5 ANOVA table for tensile strength

Source Degree of Freedom Sum of Squares Mean of

Squares F-test P-test

Contribution % N 2 393.6 196.8 0.27 0.788 6.92 S 2 179.0 89.5 0.12 0.891 3.14 F 2 3655.4 1827.7 2.50 0.285 64.27 Error 2 1459.6 729.8 25.66 Total 8 5687.5

From the table 5 we can clearly see that the combine contribution of tool rotation speed and welding speed is much lesser than the contribution of axial force. Axial force has a major contribution of 64.27%. The optimum machining parameter can be found by response table which is shown in table 6.

Table 6 Response table for Impact strength

Figure 3. Main effects plot for tensile strength

Level

Tool rotation

speed

Welding speed

Axial

Force

1

87.95

102.08

81.48

2

101.46

91.34

84.65

3

102.45

98.43

125.73

Delta 14.50

10.74

44.25

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From the table 6 and figure 3 it can see that the optimum machining condition to get high tensile strength is tool rotation speed of 1400 r.p.m, welding speed of 75 mm/min and axial force of 125.73 kN. Figure 2 shows the main effects plot of tensile strength.

4. Conclusion

In this study, the Taguchi method was used to obtain optimal condition for Friction Stir Welding of AA8011-6062 aluminium composite. Experimental results were evaluated using ANOVA. The results can be drawn as follows:

x A maximum tensile strength of 153MPa was exhibited by the FSW joints fabricated with the optimized parameters of 1400 r/min rotational speed, 75mm/min welding speed, 7 kN axial force, shoulder diameter of 15.54mm, pin diameter of 5.13mm, and tool material hardness of 600 HV.

x Tool rotation speed was the major factor affecting the impact strength

x Tool rotational speed of 1200 r.p.m, welding speed of 100 mm/min and Axial force of 5 KN is the optimum machining condition to get a good impact strength

x The optimum machining condition to get high tensile strength is tool rotation speed of 1400 r.p.m, welding speed of 75 mm/min and axial force of 125.73 kN.

x Welding speed has negligible influence on Tensile strength References:

[1] W.M. Thomas, E.D. Nicholas, J.C. Needam, M.G.Murch, P. Templesmith, C.J. Dawes. GB Patent

[2] D. Fersini, A. Pirondi, Fatigue behaviour of Al2024-T3 friction stir welded lap joints, Engineering Fracture Mechanics 74 (2007) 468–

480

[3] Mats Ericsson, Lai-Zhe Jin, Rolf SandstrÖm, Fatigue properties of friction stir overlap welds, International Journal of Fatigue 29 (200

7) 57–68

[4] S, Li Y, Murr LE, Brown D, McClure JC (1999) Low temperature friction-stir welding of 2024 aluminium, Scr Mater 41.(8):809–815

[5] L. Dubourg, A. Merati, M. Jahazi, Process optimisation and mechanical properties of friction stir lap welds of 7075-T6 stringers on 20

24-T3 skin, Materials and Design 31 (2010) 3324–3330

[6] Chang-Yong Lee, Won-Bae Lee, Jong-Woong Kim, Don-Hyun Choi, Yun-Mo Yeon, Seung-Boo Jung, Lap joint properties of FSWed

dissimilar formed 5052 Al and 6061 Al alloys with different thickness, J Mater Sci (2008) 43:3296–3304

[7] Vijay Soundararajan, EswarYarrapareddy, and Radovan Kovacevic, Investigation of the Friction Stir Lap Welding of Aluminum Allo

ys AA 5182 and AA 6022, JMEPEG (2007) 16:477–484

[8] M. Grujicic, G. Arakere, B. Pandurangan, A. Hariharan, C.-F. Yen, B.A. Cheeseman, and C.Fountzoulas, Statistical Analysis of

High-Cycle Fatigue Behavior of Friction Stir Welded AA5083-H321, JMEPEG (2011) 20:855–864

[9] CAIZHI ZHOU, XINQI YANG, GUOHONG LUAN, Effect of kissing bond on fatigue behavior of friction stir welds on Al 5083 allo

y, J MATER SCI 41 (2006) 2771–2777

[10] Min-Su HAN, Seung-Jun LEE, Jae-Cheul PARK, Seok-Cheol KO, Yong-Bin WOO, Seong-Jong KIM, Optimum condition by mecha nical characteristic evaluation in friction stir welding for 5083-O Al alloy, Trans. Nonferrous Met. Soc. China 19(2009) s17-s22

[11] J.J.S. Dilip, M.Koilraj, V.Sundareswaran, G.D. Janaki Ram and S.R. Koteswara Rao, Microstructural characterization of dissimilar fri ction stir welds between AA2219 and AA5083, Transactions of The Indian Institute of Metals, Vol. 63, Issue 4, August 2010, pp. 764.

[12] M. Movahedi, A.H. Kokabi, S.M. SeyedReihani and H. Najafi, Mechanical and Microstructural Characterization of Al-5083/St-12 lap joints made by friction stir welding, Procedia Engineering 10 (2011) 3297-3303.

References

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