prediction of optimum weld pool geometry of pctig welded … · 2017-01-18 · the two factors,...

7
Full Length Article Prediction of optimum weld pool geometry of PCTIG welded titanium alloy using statistical design M. Balasubramanian * Department of Mechanical Engineering, RMK College of Engineering and Technology, Gummidipoondi, India ARTICLE INFO Article history: Received 21 March 2015 Received in revised form 14 May 2015 Accepted 12 June 2015 Available online 7 August 2015 Keywords: Gas tungsten arc welding Pulsed current Titanium alloy Box–Behnken design A B ST R AC T Mechanical strength of the weldments is not only influenced by the composition of the metals but se- lection of process parameters and weld bead profile also play a vital role in determining the strength. The relationships between the process parameters and the bead parameters controlling the bead shape are to be established. This is achieved by the development of mathematical expressions, relating the weld bead dimensions to the important process control variables affecting these dimensions. Also, optimiza- tion of the process parameters to control and obtain the required shape and quality of weld beads is also made possible with these expressions. The pulsing current parameters on weld pool geometry namely front height, back height, front width and back width of pulsed current tungsten inert gas welding (PCTIG) of titanium alloy was analyzed. Box–Behnken design was used to develop empirical relationships, in- corporating pulsed current parameters and weld pool geometry. Copyright © 2015, The Authors. Production and hosting by Elsevier B.V. on behalf of Karabuk University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/). 1. Introduction During welding of thin sheets many problems are experienced. These problems are usually linked with temperature input. Fusion welding generally involves joining of metals by application of heat for melting of metals to be joined. Almost all the conventional arc welding processes offer high heat input, which in turn leads to various problems such as porosity, warping of welded sheets, grain coarsening, evaporation of useful elements present in coating of the sheets, etc. Use of the proper welding process, procedure and tech- nique is one tool to address this issue [1–5]. Gas tungsten arc welding (GTAW) is a good process for joining thin sheets but it suffers with low welding speed and high equipment cost. Pulsed current gas tungsten arc (PCGTA) welding, developed in the 1950s, is a variation of GTAW process that involves cycling the welding current at a selected regular frequency. The maximum current is selected to give adequate penetration and bead contour, while the minimum is set at a level sufficient to maintain a stable arc [6,7]. This permits arc energy to be used efficiently to fuse a spot of controlled dimensions in a short time producing the weld as a series of overlapping nuggets. By contrast, in constant current welding, the heat required to melt the base material is sup- plied only during the peak current pulses allowing the heat to dissipate into the base material leading to a narrower heat affected zone (HAZ) [8]. Advantages include improved bead contours, greater tolerance to heat sink variations, lower heat input requirements, reduced residual stresses and distortion, refine- ment of fusion zone microstructure, and reduced width of HAZ. The four independent parameters that influence the process are peak current, background current, pulse frequency, and pulse on time [7,8]. Experimental results have shown that the front height, front width, back height and back width of the weld pool in the gas tungsten arc (GTA) welding of stainless steel are greatly im- proved by using this approach [9,10]. However, fewer studies have been reported so far on pulsed current GTA welding of titanium alloys. Optimization of process parameters for pulsed current gas tungsten arc welded austenitic stainless steel AISI 304L of 4 mm thickness was attempted. Investigations were carried out to study the effect of frequency with respect to penetration and bead width to penetration ratio (Aspect Ratio). Three level 4 factor Taguchi L9 orthogonal array was used to carry out the bead on plate welds. Taguchi analysis was done for main effects plot to optimize the process parameters and ANOVA was used to find the percentage contribution of each factor and their responses. The key findings of the article elucidated that full penetration with optimized aspect ratio could be achieved on employing high frequency pulsing [11]. Medium strength aluminum alloy (Al–Mg–Si alloy) was joined by tungsten inert gas (TIG) welding due to its comparatively easier applicability and better economy. In the case of single pass TIG welding of thinner section of this alloy, the pulsed current has been * Tel.: +91 09841714830, fax: +91 04433303636. E-mail address: [email protected]. Peer review under responsibility of Karabuk University. http://dx.doi.org/10.1016/j.jestch.2015.06.001 2215-0986/Copyright © 2015, The Authors. Production and hosting by Elsevier B.V. on behalf of Karabuk University. This is an open access article under the CC BY-NC- ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Engineering Science and Technology, an International Journal 19 (2016) 15–21 Contents lists available at ScienceDirect Engineering Science and Technology, an International Journal journal homepage: http://www.elsevier.com/locate/jestch ScienceDirect

Upload: others

Post on 27-Apr-2020

2 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

Full Length Article

Prediction of optimum weld pool geometry of PCTIG welded titaniumalloy using statistical designM. Balasubramanian *Department of Mechanical Engineering, RMK College of Engineering and Technology, Gummidipoondi, India

A R T I C L E I N F O

Article history:Received 21 March 2015Received in revised form14 May 2015Accepted 12 June 2015Available online 7 August 2015

Keywords:Gas tungsten arc weldingPulsed currentTitanium alloyBox–Behnken design

A B S T R A C T

Mechanical strength of the weldments is not only influenced by the composition of the metals but se-lection of process parameters and weld bead profile also play a vital role in determining the strength.The relationships between the process parameters and the bead parameters controlling the bead shapeare to be established. This is achieved by the development of mathematical expressions, relating the weldbead dimensions to the important process control variables affecting these dimensions. Also, optimiza-tion of the process parameters to control and obtain the required shape and quality of weld beads is alsomade possible with these expressions. The pulsing current parameters on weld pool geometry namelyfront height, back height, front width and back width of pulsed current tungsten inert gas welding (PCTIG)of titanium alloy was analyzed. Box–Behnken design was used to develop empirical relationships, in-corporating pulsed current parameters and weld pool geometry.

Copyright © 2015, The Authors. Production and hosting by Elsevier B.V. on behalf of KarabukUniversity. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/

licenses/by-nc-nd/4.0/).

1. Introduction

During welding of thin sheets many problems are experienced.These problems are usually linked with temperature input. Fusionwelding generally involves joining of metals by application of heatfor melting of metals to be joined. Almost all the conventional arcwelding processes offer high heat input, which in turn leads tovarious problems such as porosity, warping of welded sheets, graincoarsening, evaporation of useful elements present in coating of thesheets, etc. Use of the proper welding process, procedure and tech-nique is one tool to address this issue [1–5]. Gas tungsten arc welding(GTAW) is a good process for joining thin sheets but it suffers withlow welding speed and high equipment cost.

Pulsed current gas tungsten arc (PCGTA) welding, developed inthe 1950s, is a variation of GTAW process that involves cycling thewelding current at a selected regular frequency. The maximumcurrent is selected to give adequate penetration and bead contour,while the minimum is set at a level sufficient to maintain a stablearc [6,7]. This permits arc energy to be used efficiently to fuse aspot of controlled dimensions in a short time producing the weldas a series of overlapping nuggets. By contrast, in constantcurrent welding, the heat required to melt the base material is sup-plied only during the peak current pulses allowing the heat to

dissipate into the base material leading to a narrower heat affectedzone (HAZ) [8]. Advantages include improved bead contours,greater tolerance to heat sink variations, lower heat inputrequirements, reduced residual stresses and distortion, refine-ment of fusion zone microstructure, and reduced width of HAZ.The four independent parameters that influence the process arepeak current, background current, pulse frequency, and pulse ontime [7,8]. Experimental results have shown that the front height,front width, back height and back width of the weld pool in thegas tungsten arc (GTA) welding of stainless steel are greatly im-proved by using this approach [9,10]. However, fewer studies havebeen reported so far on pulsed current GTA welding of titaniumalloys.

Optimization of process parameters for pulsed current gastungsten arc welded austenitic stainless steel AISI 304L of 4 mmthickness was attempted. Investigations were carried out to studythe effect of frequency with respect to penetration and beadwidth to penetration ratio (Aspect Ratio). Three level 4 factor TaguchiL9 orthogonal array was used to carry out the bead on plate welds.Taguchi analysis was done for main effects plot to optimize theprocess parameters and ANOVA was used to find the percentagecontribution of each factor and their responses. The key findingsof the article elucidated that full penetration with optimized aspectratio could be achieved on employing high frequency pulsing [11].

Medium strength aluminum alloy (Al–Mg–Si alloy) was joinedby tungsten inert gas (TIG) welding due to its comparatively easierapplicability and better economy. In the case of single pass TIGwelding of thinner section of this alloy, the pulsed current has been

* Tel.: +91 09841714830, fax: +91 04433303636.E-mail address: [email protected] review under responsibility of Karabuk University.

http://dx.doi.org/10.1016/j.jestch.2015.06.0012215-0986/Copyright © 2015, The Authors. Production and hosting by Elsevier B.V. on behalf of Karabuk University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Engineering Science and Technology, an International Journal 19 (2016) 15–21

Contents lists available at ScienceDirect

Engineering Science and Technology,an International Journal

journal homepage: ht tp : / /www.elsevier.com/ locate / jestch

Press: Karabuk University, Press UnitISSN (Printed) : 1302-0056ISSN (Online) : 2215-0986ISSN (E-Mail) : 1308-2043

Available online at www.sciencedirect.com

ScienceDirect

HOSTED BY

Page 2: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

found beneficial due to its advantages over the conventionalcontinuous current process. The use of pulsed current parametershas been found to improve the mechanical properties of the weldscompared to those of continuous current welds of this alloy dueto grain refinement occurring in the fusion zone [12].

The effects of current pulsing on the microstructure, hardnessand tensile properties at different temperatures of gas tungstenarc (GTA) weldments of titanium matrix composites werestudied. Full-penetration butt joints were made with or withoutcurrent pulsing. Optical microscopy, hardness test and scanningelectron microscopy were employed to evaluate the metallurgicalcharacteristics of welded joints. Tensile properties of weldmentsat different temperatures were studied and correlated with the mi-crostructure. The results exhibit that current pulsing leads to therefinement of the weld microstructure and TiB whisker and theredistribution of reinforcements resulting in higher hardness,tensile strength and ductility of weldments in the as-weldedcondition [13].

2. Experimental set-up

This section describes the experimental set-up used in the presentwork and explains the method adopted for optimizing the numberof experiments to be performed and method of weld bead geom-etry measurement.

2.1. Materials and methods

The titanium alloy (Ti–6Al–4V) sheet of 1.6 mm thick was au-togenously welded in a single pass. Shielding gas, high purity argongas, was used as trailing gas right after welding to prevent absorp-tion of oxygen and nitrogen from the atmosphere. From the literaturethree important factors of pulsed current GTA welding as pre-sented in Table 1 were chosen. The joints were accomplished with2 mm tungsten electrode under the welding conditions presentedin Table 2. A large number of trial runs were carried out using 1.6 mmthick mill annealed sheets of titanium (Ti–6Al–4V) alloy to find outthe feasible working limits of pulsed current GTAW process pa-rameters. Due to a wide range of factors, it was decided to use Box–Behnken design to minimize the number of experiments to beperformed for investigation.

Design of Experiments (DOE) is a set of techniques that revolvearound the study of the influence of different variables on theoutcome of a controlled experiment. Generally, the first step is toidentify the independent variables or factors that affect the productor process, and then study their effects on a dependent variable orresponse. Experiments are often run at different factor values called

levels. Each run of an experiment involves a combination of the levelsof the factors that are being investigated (Table 3). The Box–Behnken design is a response surface methodology (RSM) designthat requires only three levels to run an experiment. It is a special3-level design because it does not contain any points at the verti-ces of the experiment region. This could be advantageous when thepoints on the corners of the cube represent level combinations thatare prohibitively expensive or impossible to test because of phys-ical process constraints.

2.2. Response surface methodology

This methodology is one of the statistical and mathematicalmethods that are useful for modeling and analyzing engineeringproblems. In this technique, the important goal is to optimize theresponse surface that is influenced by various process parametersof pulsed tig welding [14].

Response surface methodology procedure is as follows:

(a) Manipulating adequate and reliable number of experimentsof the response taken in to consideration.

(b) Arriving a mathematical model of the second order re-sponse surface.

(c) Identifying the optimal solution set of process parameters thatcould produce a maximum or minimum value of responseunder investigation.

(d) Bringing out the effects of process parameters by creating twoand three dimensional plots.

2.3. Weld bead geometry

Weld bead samples were cut from each joint and the trans-verse face of the samples were surface-ground using 120 grit sizebelt with the help of a belt grinder, polished using grade 1/0, grade2/0 and grade 3/0 (515 mesh size) sandpaper. The specimens werefurther polished by using aluminum oxide initially and then byutilizing diamond paste and velvet cloth in a disc polishing machine.Several critical parameters of the weld pool geometry, such as beadheight and bead width (Fig. 1) were measured. The polishedspecimens after cleaning with acetone were macro-etched by usingKroll’s solution to reveal the geometry of the weld bead (Fig. 2).The bead geometry was measured with toolmakers microscopehaving an accuracy of 1 micron. The front height varied between0.035 and 0.088 mm, Back height varied between 0.021 and0.070 mm, Front width varied between 5.100 and 7.125 mm andBack width varied between 3.967 and 6.880 mm. The experimen-tal design matrix and the mathematical modeling of the bead

Table 1Important factors and their levels.

S.No. Factor Notation Unit Levels

−1 0 1

1 Peak current p Amps 70 80 902 Base current b Amps 30 40 503 Pulse Frequency f Hz 3 6 9

Table 2Welding conditions.

Power source Lincoln Electric, USAPolarity/Voltage AC/22 VoltsElectrode W + 2% Thoriated (alloy)Electrode diameter 2 mmShielding gas Argon, 10 lit/minWelding speed 300 mm/min

Table 3Box–Behnken design.

No. P B f Fh, mm Bh, mm Fw, mm Bw, mm

1 −1 −1 0 0.082 0.065 6.800 6.8802 1 −1 0 0.067 0.046 5.258 4.8683 −1 1 0 0.080 0.070 5.550 4.9564 1 1 0 0.070 0.055 7.125 6.8255 −1 0 −1 0.074 0.044 6.314 4.3896 1 0 −1 0.084 0.053 6.571 5.0567 −1 0 1 0.088 0.044 6.314 4.3898 1 0 1 0.078 0.053 6.571 5.0569 0 −1 −1 0.050 0.031 5.520 3.967

10 0 1 −1 0.062 0.047 5.286 5.62011 0 −1 1 0.058 0.031 5.520 3.96712 0 1 1 0.062 0.047 5.286 4.62013 0 0 0 0.052 0.034 5.143 4.48014 0 0 0 0.036 0.021 5.200 4.76715 0 0 0 0.050 0.031 5.100 4.580

16 M. Balasubramanian/Engineering Science and Technology, an International Journal 19 (2016) 15–21

Page 3: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

geometry is performed in consideration with the previous litera-ture [15–18].

3. Experimental relationships

The response function representing any of the weld pool di-mensions is expressed as Y = f (p, b, f) [15], where p is the peakcurrent, b is the base current and f is the pulse frequency. The secondorder polynomial (regression) equation used to represent the re-sponse ‘Y’ is given by:

Fig. 1. Typical weld pool geometry.

Fig. 2. Macrographs of weld pool.

17M. Balasubramanian/Engineering Science and Technology, an International Journal 19 (2016) 15–21

Page 4: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

Y b b x b x b x x

i j

i ii

k

ii ii

k

ij i ji j

k

= + + +

≠= = =∑ ∑ ∑0

1

2

1 1,

(1)

where b0 is the average of responses and b1, b2, . . ., b34 are the co-efficients that depend on respective main and interaction effects ofthe parameters. The value of the coefficients has been calculatedusing the expressions [18] and the calculated values are pre-sented in Table 3.

All the coefficients were tested for their significance at 90% con-fidence level applying Student’s t-test and the developed modelswere tested at 99% confidence level applying f-test using the SPSS

statistical software package. After determining the significant co-efficients, the final relationships were developed [18].

Front height (Fh)

F p b f pb

pfh = − + − + ∗{

− ∗ −0 046 0 00313 0 002125 0 002 0 00125

0 005 0

. . . . .

. .0002 0 025875 0 002875

0 009125

2 2

2

bf p b

f mm

+ ++

. .

.

(2)

Back height (Bh)

B p b f pb

bfh = − + − +{

+ +0 02133 0 00175 0 007 0 00125 0 0085

0 0025 0 0

. . . . .

. . 222333 0 015333 0 0048332 2 2p b f mm+ + }. .(3)

Fig. 3. Surface plot showing the effect of process parameters on bead height.

18 M. Balasubramanian/Engineering Science and Technology, an International Journal 19 (2016) 15–21

Page 5: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

Front width (Fw)

F p b p

bw = + + +{

− +

5 14767 0 068375 0 018625 1 03754

0 00196 0 2572

2

2

. . . .

. . 992 0 779252f pb+ }. mm(4)

Back width (Bw)

B p b p fw = + + + +{+4 609 0 148875 0 292375 0 726125 0 547125

0 9702

2 2. . . . .

. 55 0 25pb bf mm− }. (5)

4. Results and discussion

The experimental relationships developed above can be em-ployed to predict the geometry of weld bead and shape relationships

within the range of parameters used in the investigation by sub-stituting their respective values in coded form. Based on thesemodels, the main and the interaction effects of the process param-eters on the bead geometry as depicted in Figs. 3 and 4. The resultsshow the general trends between cause and effect.

4.1. Interpretation of response graph to understand the effect ofprocess variables on the bead geometry

In pulsed current gas tungsten arc welding, heat energy is sup-plied only during peak current pulses, allowing it to dissipate intothe base metal during the background current and thus loweringheat build up in the adjacent base material, thus leading to a nar-rower heat affected zone. Fig. 3a shows the interaction effect of

Fig. 4. Surface plot showing the effect of process parameters on bead width.

19M. Balasubramanian/Engineering Science and Technology, an International Journal 19 (2016) 15–21

Page 6: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

the two factors, base current and peak current at 6 Hz pulsefrequency on the front height of the weld bead geometry.Minimum front height is 0.05 and maximum front height is0.075 mm.

When peak current is maintained at 80A, the interaction betweenbase current and pulse frequency yields maximum 0.064 andminimum 0.046 mm of front height respectively as seen in Fig. 3b.Maintaining base current at 40A, the interactive effect of pulse fre-quency and peak current fetches a maximum front height of0.075 mm and minimum front height of 0.035 mm (Fig. 3c). As faras back height is concerned (Fig. 3d), when pulse frequency is main-tained at 6 Hz, a maximum value of 0.07 and minimum value of0.025 mm are obtained when the interaction exists between peakcurrent and base current. The response plot shown in Fig. 3e bringsout the interaction between pulse frequency and base current fora peak current value of 80A. The interaction effect produced amaximum value of 0.045 mm and minimum value of 0.025 mm ofback height. Fig. 3f shows the interaction effect of the two factors,pulse frequency and peak current, at 40A base current on theback height of the weld bead geometry. Minimum back heightof 0.025 mm and maximum back height of 0.05 mm areobtained.

Fig. 4a shows the interaction effect of the two factors, base currentand peak current, at 6 Hz pulse frequency on the front width of theweld bead geometry. Minimum front width is 5.0 and maximumfront width is 7.0 mm. When peak current is maintained at 80A, theinteraction between base current and pulse frequency yieldsmaximum 5.40 and minimum 5.15 mm of front width respective-ly as seen in Fig. 4b. Maintaining base current at 40A, the interactiveeffect of pulse frequency and peak current fetches a maximum frontwidth of 6.20 mm and minimum front width of 5.0 mm (Fig. 4c).As far as back width is concerned (Fig. 4d), when pulse frequencyis maintained at 6 Hz, a maximum value of 6.50 and minimum valueof 4.25 mm is obtained when the interaction exists between peakcurrent and base current. The response plot shown in Fig. 4e bringsout the interaction between pulse frequency and base current fora peak current value of 80A. The interaction effect produced amaximum value of 5.60 mm and minimum value of 4.40 mm of backwidth. Fig. 4f shows the interaction effect of the two factors, pulsefrequency and peak current, at 40A base current on the back widthof the weld bead geometry. Minimum back width of 4.60 mm andmaximum back height of 6.00 mm are obtained.

This may be due to difference of heat input caused by variationin pulse frequency. From 0 to 6 Hz of pulse frequency the intervalbetween pulses is low and hence the heat input which enters thesystem at a moment decreases and bead width and height is low,but when the frequency increases the heat input increases and hencethe width and height increase. The bead height and width dis-played two different trends. It followed a decreasing trend up to 6 Hzof pulsing frequency and then thereafter it was found to be in-creasing as seen in Figs. 3 and 4.

After certain level of pulse frequency say 6 Hz in this case, thepulse frequency is increasing and seems to be like a continuouscurrent which causes more heat input and hence the width andheight increase. The same trend is also observed in the case of peakcurrent. Initially as the peak current is less, the bead width and heightare more and as the peak current increases, the height and widthare reduced up to say 80 amps and then they increased for differ-ent values of pulse frequency.

A pulsing frequency of 6 Hz is found to produce optimum results.When the pulse frequency is less, the effect of ensuing pulses onthe bead is minimum. On the other hand, at high frequency rate,the amplitude of the vibrations induced in the weld pool and theoscillations of temperature are reduced to a greater extent. Thusit is evident that there exists a pulse frequency at which theeffect is pronounced. In the present study, it is concluded that

when the process parameters are maintained at the center of theBox–Behnken design, bead width and bead height can be keptminimum.

5. Conclusions

In this experimental study, the relevance of response surfacemethodology and Box–Behnken design for process parameteroptimization was discussed. The three-level three-factorial Box–Behnken experimental design was applied for investigation. Box–Behnken design is an experimental design which helps us to do aminimum number of experiments with a minimum number of levelsin performing the experiments. Current pulsing does help in grainrefinement which reduces the HAZ and improves the mechanicalproperties.

The mathematical model equations were obtained for pulse tigwelding of titanium sheets using a MATLAB 7.1 software package.Predicted values obtained using model equations were in goodagreement with the actual values obtained by experimentation.This study proved that Box–Behnken design could be efficientlybe applied for modeling and optimization of weld pool geometryof pulsed tig welded titanium sheets and that it is a better wayof obtaining the necessary data with the fewest number ofexperiments.

(1) Box–Behnken design used for developing empirical relation-ships to predict important weld bead geometry of pulsedcurrent GTA welded titanium alloy.

(2) The mathematical relationships developed can be em-ployed easily in automated welding in the form of a program,for obtaining the desired weld bead dimensions.

(3) Out of the three process variables considered, effect of pulsefrequency and peak current has a positive effect on most ofthe important bead parameters.

References

[1] L.W. Tsay, C.Y. Rsay, The effect of microstructures on fatigue crack growth inTi-6Al-4V (α + β) alloy laser welds, Int. J. Fatigue 19 (1997) 713–720.

[2] TWI, A Designers Handbook of Titanium Welding, World Centre for MaterialsWelding, John Wiley, New York, 1978.

[3] S.H. Wang, M.S. Wei, Tensile properties of gas tungsten arc weldments in CP,Ti-6Al-4V and Ti-15V-3Al-3Sn-3Cr alloys at different strain rates, Sci. Technol.Weld. Joi. 9 (2004) 415–422.

[4] S.H. Wang, M.D. Wei, L.W. Tsay, Tensile properties of LBW welds in Ti-6Al-4Valloy at evaluated temperature below 450 °C, Mater. Lett. 57 (2003) 1815–1823.

[5] K.C. Winco Yung, B. Ralph, W.B. Lee, R. Fenn, An investigation into weldingparameters affecting the tensile properties of titanium welds, J. Mater. Process.Technol. 63 (1997) 759–764.

[6] G. Madhusudhan Reddy, Welding of aluminium and alloys. Proceedings of ISTESummer School on Recent Developments in Materials Joining, AnnamalaiUniversity, 2001.

[7] K. Prasad Rao, Fusion zone grain refinement in GTA welds using magnetic arcoscillation and current pulsing. National Conference on Recent Trends inMaterial Processing, RAMP, 176–196, 2001.

[8] G. Madusudhan Reddy, A.A. Gokhale, K. Prasad Rao, Optimization of pulsefrequency in pulsed current gas tungsten arc welding of Al–Lithium alloy steels,Mater. Sci. Technol. 14 (1993) 61.

[9] M. Balasubramanian, V. Jayabalan, V. Balasubramanian, Optimizing the pulsedcurrent gas tungsten arc welding parameters, J. Mater. Sci. Technol. 22 (2006)821–825.

[10] S.C. Juang, Y.S. Tarang, Process parameter selection for optimizing the weld poolgeometry in the tungsten inert gas welding of stainless steel, J. Mater. Process.Technol. 122 (2002) 33–37.

[11] M. Arivarasu, K. Devendranath Ramkumar, N. Arivazhagan, Comparative studiesof high and low frequency pulsing on the aspect ratio of weld bead in gastungsten arc welded AISI 304L plates, Procedia Eng. 97 (2014) 871–880.

[12] T. Senthil Kumar, V. Balasubramanian, M.Y. Sanavullah, Influences of pulsedcurrent Tungsten inert gas welding parameters on the tensile properties of AA6061 aluminium alloy, Mater. Des. 28 (7) (2007) 2080–2092.

[13] J. Mao, W. Lü, L. Wang, D. Zhang, J. Qin, Microstructure and mechanicalproperties of GTA weldments of titanium matrix composites prepared with orwithout current pulsing, Trans. Nonferr. Met. Soc. China 24 (5) (2014) 1393–1399.

20 M. Balasubramanian/Engineering Science and Technology, an International Journal 19 (2016) 15–21

Page 7: Prediction of optimum weld pool geometry of PCTIG welded … · 2017-01-18 · the two factors, base current and peak current at 6Hz pulse frequency on the front height of the weld

[14] N. Aslan, Y. Cebeci, Application of Box–Behnken design and responsesurface methodology for modeling of some Turkish coals, Fuel 86 (2007)90–97.

[15] M. Balasubramanian, V. Jayabalan, V. Balasubramanian, Prediction andoptimization of pulsed current gas tungsten arc welding process parametersto obtain sound weld pool geometry in titanium alloy using lexicographicmethod, J. Mater. Eng. Perform. 18 (2009) 871–877.

[16] M. Balasubramanian, V. Jayabalan, V. Balasubramanian, Effect of processparameters of pulsed current tungsten inert gas welding on weld pool geometryof titanium welds, Jin Shu Xue Bao 23 (2010) 312–320.

[17] Y.S. Tarng, H.L. Tsai, S.S. Yeh, Modeling, optimization and classification of weldquality in TIG welding, Int. J. Mach. Tools Manuf. 39 (1999) 1427–1438.

[18] D.C. Montgomery, Design and Analysis of Experiments, third ed., John Wileyand Sons, New York, 1991.

21M. Balasubramanian/Engineering Science and Technology, an International Journal 19 (2016) 15–21