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Rakesh Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05
www.ijera.com 1 | P a g e
Determination of Significant Process Parameter in Metal Inert
Gas Welding of Mild Steel by using Analysis of Variance
(ANOVA)
Rakesh*, Satish Kumar**
*(Department of Mechanical Engineering, HCTM Technical Campus, Kaithal (Haryana), India)
**(Department of Mechanical Engineering, HCTM Technical Campus, Kaithal (Haryana), India)
ABSTRACT
The aim of present study is to determine the most significant input parameter such as welding current, arc
voltage and root gap during the Metal Inert Gas Welding (MIG) of Mild Steel 1018 grade by Analysis of
Variance (ANOVA). The hardness and tensile strength of weld specimen are investigated in this study. The
selected three input parameters were varied at three levels. On the analogy, nine experiments were performed
based on L9 orthogonal array of Taguchi’s methodology, which consist three input parameters. Root gap has
greatest effect on tensile strength followed by welding current and arc voltage. Arc voltage has greatest effect on
hardness followed by root gap and welding current. Weld metal consists of fine grains of ferrite and pearlite.
Keywords: GMAW, MIG, Mild Steel, Welding, Taguchi, ANOVA.
I. INTRODUCTION
Metal Inert Gas Welding which is also known
as Gas Metal Arc Welding (GMAW) uses a
consumable metal electrode and an inert gas or an
active gas. It is the process in which source of heat
is an arc formed between a consumable metal
electrode and the work piece. The arc and molten
puddle are protected from contamination by the
atmosphere with an externally supplied gaseous
shield of inert gas or active gas [1-2]. In this
process carbon is used as shielding gas and plate of
12 mm is welded using MIG welding. Hardness
testing of metals, ceramics, and composite is
useful for a variety of applications for which
hardness measurements are unsuitable. Hardness
testing gives an allowable range of loads for
testing with diamond indenter. The resulting
indentation is measured and converted to a
hardness value. Taguchi method [3-4] is a
systematic application of design and analysis of
experiment for designing purpose and product
quality improvements. In this research work tensile
strength, hardness and microstructure of specimen
1018 mild steel welded by MIG welding are
evaluated. In this paper, analysis of variance
(ANOVA) is used to determine most significant
welding parameter.
Figure 1 MIG welding of Mild Steel
Suresh Kumar (2002) discuss microstructural
development during MIG welding of copper with
iron filler. During the experimental work they
consider voltage, current and travel speed as welding
parameter. They investigate needle shaped
morphology of iron matrix typical of martensite and
at copper iron interface bended microstructure was
observed which varied with travel speed [6].
Haragopal (2011) investigate the mechanical
properties of Al-65032 alloy using Taguchi technique
and result shows that current is the most influencing
parameter for ultimate tensile strength and pressure is
most significant parameter for proof stress [7].
Sapakal (2012) investigate the influence of
welding parameter like welding current, welding
voltage, welding speed on penetration depth of mild
steel during welding by using Taguchi design
method. Result shows the welding voltage has large
effect on penetration [8].
RESEARCH ARTICLE OPEN ACCESS
Rakesh Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05
www.ijera.com 2 | P a g e
A consumable electrode of mild steel with 2mm
diameter shielded by carbon dioxide (CO2) gas is
used to produce an electric arc with the base metal as
shown in figure 1. The heat generated by electric arc
is used to melt the filler electrode and base metal. As
discussed earlier, Taguchi Approach is applied in this
process for the analysis. It help to determine the best
level of parameter used to analyzed the best
performance of the result.
II. METHODOLOGY
In this experimental work, the specimen is
welded at three different levels of welding parameter
i.e. current, voltage and root gap as shown in Table I.
Table 1 Welding parameter and their levels
Parameters Welding
Current (A)
Arc
Voltage (B)
Root
Gap (C)
Unit Amp Volt mm
Level 1 140 35 2
Level 2 160 40 3
Level 3 180 45 4
Table 2 Chemical Composition of Base Metal Mild
Steel 1018
Element Weight%
C 0.06
Si 0.09
Mn 0.37
P 0.063
S 0.065
Fe 99.05
Samples of size 200×100×90mm were cut with
the help of Power Hacksaw. A groove of 600 was
also made on each sample with the help of Power
Grinder. The chemical composition of mild steel
sheet using for present study is shown in Table 2.
Figure 2 Cutting of Sample from Strip
Figure 3 Final Cutting Sample for Welding
Figure 2 shows the cutting of the sample from
the big strip with help of power hacksaw. All
eighteen samples are cut in same size and their
pictorial view is shown in figure 3. The working
range of welding parameter were fined by conducting
trial run and satisfactory values obtained are used to
conduct the experimental work. L9 orthogonal array
is used for analysis purpose and standard table of
three variables with three different levels of input
parameters is shown in table 3 and actual value of
selected input parameter arc shown in table 4.
Table 3 L9 Orthogonal Array Design Matrix
Experiment
Number
Welding
Current
Arc
Voltage
Root
Gap
1 1 1 1
2 1 2 2
3 1 3 3
4 2 1 2
5 2 2 3
6 2 3 1
7 3 1 3
8 3 2 1
9 3 3 2
Table 4 L9 Matrix with Actual Value of Parameters
Experiment
Number
Welding
Current
Arc
Voltage
Root
Gap
1 140 35 2
2 140 40 3
3 140 45 4
4 160 35 3
5 160 40 4
6 160 45 2
7 180 35 4
8 180 40 2
9 180 45 3
The nine experiments were performed based
on the L9 array. The effect of different parameters
such as welding current, arc voltage and root gap
of mild steel 1018 is analyzed. The tensile strength
Rakesh Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05
www.ijera.com 3 | P a g e
and hardness of all nine weld specimen were
checked carefully and the observed value of tensile
strength and hardness with their S/N ratios are
shown in table 5 and in table 6. Figure 4 shows
photograph of welded sample.
Figure 4 Welded Sample of Mild Steel
The samples used for measuring micro-hardness
are rubbed first using emery paper of size no. 400,
600, 1000 & 2000 and then clean with acetone
solution. The diagonals of the indents formed by
pyramid- shaped diamond indenter on the samples
gives the value of micro-hardness in Vickers.
Table 5 Result for Tensile Strength
Experiment
Number
Welding
Current
Arc
Voltage
Root
Gap
Tensile
Strength
S/N
Ratio
1 140 35 2 347.9 50.8291
2 140 40 3 335.4 50.5113
3 140 45 4 429.0 52.6491
4 160 35 3 341.8 50.6754
5 160 40 4 328.0 50.3175
6 160 45 2 339.4 50.6142
7 180 35 4 482.2 50.6645
8 180 40 2 375.6 50.4945
9 180 45 3 351.1 50.9086
Table 6 Result for Hardness
Experiment
Number
Hardness
WZ (Hv 10)
Hardness
PM (Hv 10)
Hardness
HAZ (Hv 10)
S/N
Ratio
1 159.5 135.5 169.5 18.9495
2 159.5 138.5 148.5 23.0269
3 146.5 137.5 157.5 23.3417
4 237.5 173.5 248 14.7239
5 205.5 176.5 190 22.3713
6 177.5 162.5 167.5 26.9071
7 186 179.5 220 19.0587
8 155.5 163.5 154.5 30.1020
9 160.5 155.5 180.5 21.9456
III. RESULTS AND DISCUSSIONS
Figure 5 shows the steps involved in the Taguchi
analysis. Analysis of variance (ANOVA) is a
statistical tool used to analyze the S/N ratios. In
ANOVA setting, the observed variance in a
particular variable is partitioned into components
attributable to different sources of variation.
Analysis of variance technique is used in order to
check the adequacy of the model. The term
“signal” represents the desirable mean value, and
the “noise” represents the undesirable value.
Hence, the S/N ratio represents the amount of
variation, which presents in the performance
characteristics.
Figure 5 Steps for Taguchi's analysis
In the present study tensile strength and
Hardness of the weld specimens were identified as
the responses, therefore, “higher the better”
characteristic chosen for analysis purpose.






 

n
i
yi
n
ratioNSHB
1
2
10
1
log10/:
Where yi represents the experimentally observed
value of the with experiment, n is the repeated
Rakesh Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05
www.ijera.com 4 | P a g e
number of each experiment, is the mean of samples
and s is the sample standard deviation of n
observations in each run.
Tensile Strength
Tensile strength is calculated experimentally and
Taguchi method is applied for analysis with the help
of ANOVA. On basis of data analyzed, plots for
signal-to-noise (S/N) ratio are shown in Figure 6. The
calculated S/N ratio has been tabulated in Table 5.
180160140
52.0
51.5
51.0
50.5
454035
432
52.0
51.5
51.0
50.5
Current(Amp.)
MeanofSNratios
Voltage(Volt)
Root Gap(mm)
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Larger is better
Figure 6 Effects of process parameters on tensile
strength S/N ratio
Analysis of variance for S/N ratio is summarized
in Table 7 and it is observed that root gap is the most
prominent factor which effects tensile strength
maximum with percent contribution of 38% followed
by welding current with percent contribution 32%
then arc voltage with percent contribution 14%.
Table 7 Analysis of Variance for Signal to Noise Ratio
Source DF
Seq
SS
Adj
SS
Adj
MS F P
PC
(%)
Arc Current 2 3.321 3.321 1.66061.980.0336 32
Arc Voltage 2 1.390 1.390 0.69500.830.0547 14
Root gap 2 3.880 3.880 1.94022.310.0302 38
Residual
Error
2 1.680 1.680 0.8400 16
Total 8 10.272
The response values for S/N ratio for each level of
identified factors have been listed in Table 8 which,
shows the factor level values of each factor and their
ranking.
Table 8 Response Table for Signal to Noise Ratio of
Tensile Strength
Level Arc Current Arc
Voltage
Root Gap
1 51.33 51.72 50.98
2 50.54 50.77 50.70
3 52.02 51.39 52.21
Delta 1.49 0.95 1.51
Rank 2 3 1
Hardness
The samples used for measuring Hardness are
first rubbed with emery paper of size no. 400, 600,
1000 & 2000 and then cleaned with acetone solution.
The diagonals of the indents formed by pyramid-
shaped diamond indenter on the samples.
180160140
26
24
22
20
18
454035
432
26
24
22
20
18
Current(Amp.)
MeanofSNratios
Voltage(Volt)
Root Gap(mm)
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Nominal is best (10*Log10(Ybar**2/s**2))
Figure 7 Effects of process parameters on Hardness
S/N ratio
Analysis of variance for S/N ratio is summarized
in Table 9 and it is observed that arc voltage is the
most prominent factor which effects Hardness
maximum with percent contribution of 62% followed
by root gap with percent contribution 28% then
welding current with percent contribution 6%.
Table 9 Analysis of Variance for Signal to Noise
Ratio of Hardness
Source DF Seq SS Adj SS Adj MS F P
PC
(%)
Arc
Current
2 9.522 9.522 4.761 1.49 .0402 6
Arc
Voltage
2 100.899 100.899 50.450 15.79 .0060 62
Root
Gap
2 46.152 46.152 23.076 7.22 .0122 28
Residual
Error
2 6.388 6.388 3.194 4
Total 8 162.962
The response values for S/N ratio for each level
of identified factors have been listed in Table 10
which shows the factor level values of each factor
and their ranking.
Table 10 Response Table for Signal to Noise Ratio
for Hardness
LEVEL
CURRENT
(Amp.)
VOLTAGE
(Volt)
ROOT
GAP (mm)
1 21.77 17.58 25.32
2 21.33 25.17 19.90
3 23.70 24.06 21.59
DELTA 2.37 7.59 5.42
RANK 3 1 2
Rakesh Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05
www.ijera.com 5 | P a g e
IV. CONCLUSION
The mild steel 1018 was used for the present
study to explore the different input process
parameters on the tensile strength and hardness of
the weld samples. The L9 orthogonal has been
used to assign the identified parameters. ANOVA
analysis was performed for the analysis purpose
which shows that current is the most significant
parameters that influenced the tensile strength and
hardness of the weld. The highest tensile strength
obtained in the research is 482.2 at current (180
amp), voltage (35 volt) and root gap (4 mm) at a
welding current of 210 amp, The maximum
hardness is obtained at a welding current (180
amp), arc voltage (40 volt) and root gap (3 mm).
REFERENCES
[1] Juang SC, Tarng YS. Process parameter
selection for optimizing the weld pool
geometry in the tungsten inert gas welding
of stainless steel. J Mater Process Technol
122 (2002) 33-37.
[2] Cary HB. 2nd ed. Modern welding
technology.AWS.(1981). 82-85.
[3] P.J. Ross, Taguchi Techniqes for Quality
Engineering, McGraw Hill, New York,
1988.
[4] G. Taguchi, Introduction to quality
Engineering, Asian Productivity
Organisitaion, Tokyo, 1990.
[5] G.S.Peace, Taguchi Methods: A hand-on
Aproach, Assison- Wesley, Reading, M.A,
1993.
[6] K. Suresh Kumar, G. Phani Kumar, P.
Dutta, K. Chattopadhyay (2002),
“Microstructural development of Dissimilar
Weldments: Case of MIG Welding of Cu
with Fe filler”, Journal of Materials Science,
Vol. 37, pp. 2345-2349.
[7] G.Haragopal, PVR Ravindra Reddy, G
Chandra Mohan Reddy, J V Subrahmanyam
(2011), "Parametric design for MIG
welding of Al- 65032 alloy using Tagauchi
Method ", Journal of Scientific and
Industrial Research, Vol. 70, pp.844 – 850.
[8] S.V.Sapakal, M.T. Telsang (2012),
“Parametric Optimization of MIG Welding
Using Taguchi Design Method”,
International Journal of Advanced
Engineering Research and Study, Vol. 1,
pp.28-30.
[9] “Welding Process and technology”
R.S.Parmar, Khanna Publishers, ISBN No.
81-7409-126-2.
[10] “A Course in workshop technology”,
B.S.Raghuwanshi, Dhanpat Rai & Co. 2008
Edition.
[11] “A Text book of Welding Technology”,
O.P.Khanna, Dhanpat Rai Publications,
Edition 2005.

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Determination of Significant Process Parameter in Metal Inert Gas Welding of Mild Steel by using Analysis of Variance (ANOVA)

  • 1. Rakesh Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05 www.ijera.com 1 | P a g e Determination of Significant Process Parameter in Metal Inert Gas Welding of Mild Steel by using Analysis of Variance (ANOVA) Rakesh*, Satish Kumar** *(Department of Mechanical Engineering, HCTM Technical Campus, Kaithal (Haryana), India) **(Department of Mechanical Engineering, HCTM Technical Campus, Kaithal (Haryana), India) ABSTRACT The aim of present study is to determine the most significant input parameter such as welding current, arc voltage and root gap during the Metal Inert Gas Welding (MIG) of Mild Steel 1018 grade by Analysis of Variance (ANOVA). The hardness and tensile strength of weld specimen are investigated in this study. The selected three input parameters were varied at three levels. On the analogy, nine experiments were performed based on L9 orthogonal array of Taguchi’s methodology, which consist three input parameters. Root gap has greatest effect on tensile strength followed by welding current and arc voltage. Arc voltage has greatest effect on hardness followed by root gap and welding current. Weld metal consists of fine grains of ferrite and pearlite. Keywords: GMAW, MIG, Mild Steel, Welding, Taguchi, ANOVA. I. INTRODUCTION Metal Inert Gas Welding which is also known as Gas Metal Arc Welding (GMAW) uses a consumable metal electrode and an inert gas or an active gas. It is the process in which source of heat is an arc formed between a consumable metal electrode and the work piece. The arc and molten puddle are protected from contamination by the atmosphere with an externally supplied gaseous shield of inert gas or active gas [1-2]. In this process carbon is used as shielding gas and plate of 12 mm is welded using MIG welding. Hardness testing of metals, ceramics, and composite is useful for a variety of applications for which hardness measurements are unsuitable. Hardness testing gives an allowable range of loads for testing with diamond indenter. The resulting indentation is measured and converted to a hardness value. Taguchi method [3-4] is a systematic application of design and analysis of experiment for designing purpose and product quality improvements. In this research work tensile strength, hardness and microstructure of specimen 1018 mild steel welded by MIG welding are evaluated. In this paper, analysis of variance (ANOVA) is used to determine most significant welding parameter. Figure 1 MIG welding of Mild Steel Suresh Kumar (2002) discuss microstructural development during MIG welding of copper with iron filler. During the experimental work they consider voltage, current and travel speed as welding parameter. They investigate needle shaped morphology of iron matrix typical of martensite and at copper iron interface bended microstructure was observed which varied with travel speed [6]. Haragopal (2011) investigate the mechanical properties of Al-65032 alloy using Taguchi technique and result shows that current is the most influencing parameter for ultimate tensile strength and pressure is most significant parameter for proof stress [7]. Sapakal (2012) investigate the influence of welding parameter like welding current, welding voltage, welding speed on penetration depth of mild steel during welding by using Taguchi design method. Result shows the welding voltage has large effect on penetration [8]. RESEARCH ARTICLE OPEN ACCESS
  • 2. Rakesh Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05 www.ijera.com 2 | P a g e A consumable electrode of mild steel with 2mm diameter shielded by carbon dioxide (CO2) gas is used to produce an electric arc with the base metal as shown in figure 1. The heat generated by electric arc is used to melt the filler electrode and base metal. As discussed earlier, Taguchi Approach is applied in this process for the analysis. It help to determine the best level of parameter used to analyzed the best performance of the result. II. METHODOLOGY In this experimental work, the specimen is welded at three different levels of welding parameter i.e. current, voltage and root gap as shown in Table I. Table 1 Welding parameter and their levels Parameters Welding Current (A) Arc Voltage (B) Root Gap (C) Unit Amp Volt mm Level 1 140 35 2 Level 2 160 40 3 Level 3 180 45 4 Table 2 Chemical Composition of Base Metal Mild Steel 1018 Element Weight% C 0.06 Si 0.09 Mn 0.37 P 0.063 S 0.065 Fe 99.05 Samples of size 200×100×90mm were cut with the help of Power Hacksaw. A groove of 600 was also made on each sample with the help of Power Grinder. The chemical composition of mild steel sheet using for present study is shown in Table 2. Figure 2 Cutting of Sample from Strip Figure 3 Final Cutting Sample for Welding Figure 2 shows the cutting of the sample from the big strip with help of power hacksaw. All eighteen samples are cut in same size and their pictorial view is shown in figure 3. The working range of welding parameter were fined by conducting trial run and satisfactory values obtained are used to conduct the experimental work. L9 orthogonal array is used for analysis purpose and standard table of three variables with three different levels of input parameters is shown in table 3 and actual value of selected input parameter arc shown in table 4. Table 3 L9 Orthogonal Array Design Matrix Experiment Number Welding Current Arc Voltage Root Gap 1 1 1 1 2 1 2 2 3 1 3 3 4 2 1 2 5 2 2 3 6 2 3 1 7 3 1 3 8 3 2 1 9 3 3 2 Table 4 L9 Matrix with Actual Value of Parameters Experiment Number Welding Current Arc Voltage Root Gap 1 140 35 2 2 140 40 3 3 140 45 4 4 160 35 3 5 160 40 4 6 160 45 2 7 180 35 4 8 180 40 2 9 180 45 3 The nine experiments were performed based on the L9 array. The effect of different parameters such as welding current, arc voltage and root gap of mild steel 1018 is analyzed. The tensile strength
  • 3. Rakesh Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05 www.ijera.com 3 | P a g e and hardness of all nine weld specimen were checked carefully and the observed value of tensile strength and hardness with their S/N ratios are shown in table 5 and in table 6. Figure 4 shows photograph of welded sample. Figure 4 Welded Sample of Mild Steel The samples used for measuring micro-hardness are rubbed first using emery paper of size no. 400, 600, 1000 & 2000 and then clean with acetone solution. The diagonals of the indents formed by pyramid- shaped diamond indenter on the samples gives the value of micro-hardness in Vickers. Table 5 Result for Tensile Strength Experiment Number Welding Current Arc Voltage Root Gap Tensile Strength S/N Ratio 1 140 35 2 347.9 50.8291 2 140 40 3 335.4 50.5113 3 140 45 4 429.0 52.6491 4 160 35 3 341.8 50.6754 5 160 40 4 328.0 50.3175 6 160 45 2 339.4 50.6142 7 180 35 4 482.2 50.6645 8 180 40 2 375.6 50.4945 9 180 45 3 351.1 50.9086 Table 6 Result for Hardness Experiment Number Hardness WZ (Hv 10) Hardness PM (Hv 10) Hardness HAZ (Hv 10) S/N Ratio 1 159.5 135.5 169.5 18.9495 2 159.5 138.5 148.5 23.0269 3 146.5 137.5 157.5 23.3417 4 237.5 173.5 248 14.7239 5 205.5 176.5 190 22.3713 6 177.5 162.5 167.5 26.9071 7 186 179.5 220 19.0587 8 155.5 163.5 154.5 30.1020 9 160.5 155.5 180.5 21.9456 III. RESULTS AND DISCUSSIONS Figure 5 shows the steps involved in the Taguchi analysis. Analysis of variance (ANOVA) is a statistical tool used to analyze the S/N ratios. In ANOVA setting, the observed variance in a particular variable is partitioned into components attributable to different sources of variation. Analysis of variance technique is used in order to check the adequacy of the model. The term “signal” represents the desirable mean value, and the “noise” represents the undesirable value. Hence, the S/N ratio represents the amount of variation, which presents in the performance characteristics. Figure 5 Steps for Taguchi's analysis In the present study tensile strength and Hardness of the weld specimens were identified as the responses, therefore, “higher the better” characteristic chosen for analysis purpose.          n i yi n ratioNSHB 1 2 10 1 log10/: Where yi represents the experimentally observed value of the with experiment, n is the repeated
  • 4. Rakesh Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05 www.ijera.com 4 | P a g e number of each experiment, is the mean of samples and s is the sample standard deviation of n observations in each run. Tensile Strength Tensile strength is calculated experimentally and Taguchi method is applied for analysis with the help of ANOVA. On basis of data analyzed, plots for signal-to-noise (S/N) ratio are shown in Figure 6. The calculated S/N ratio has been tabulated in Table 5. 180160140 52.0 51.5 51.0 50.5 454035 432 52.0 51.5 51.0 50.5 Current(Amp.) MeanofSNratios Voltage(Volt) Root Gap(mm) Main Effects Plot for SN ratios Data Means Signal-to-noise: Larger is better Figure 6 Effects of process parameters on tensile strength S/N ratio Analysis of variance for S/N ratio is summarized in Table 7 and it is observed that root gap is the most prominent factor which effects tensile strength maximum with percent contribution of 38% followed by welding current with percent contribution 32% then arc voltage with percent contribution 14%. Table 7 Analysis of Variance for Signal to Noise Ratio Source DF Seq SS Adj SS Adj MS F P PC (%) Arc Current 2 3.321 3.321 1.66061.980.0336 32 Arc Voltage 2 1.390 1.390 0.69500.830.0547 14 Root gap 2 3.880 3.880 1.94022.310.0302 38 Residual Error 2 1.680 1.680 0.8400 16 Total 8 10.272 The response values for S/N ratio for each level of identified factors have been listed in Table 8 which, shows the factor level values of each factor and their ranking. Table 8 Response Table for Signal to Noise Ratio of Tensile Strength Level Arc Current Arc Voltage Root Gap 1 51.33 51.72 50.98 2 50.54 50.77 50.70 3 52.02 51.39 52.21 Delta 1.49 0.95 1.51 Rank 2 3 1 Hardness The samples used for measuring Hardness are first rubbed with emery paper of size no. 400, 600, 1000 & 2000 and then cleaned with acetone solution. The diagonals of the indents formed by pyramid- shaped diamond indenter on the samples. 180160140 26 24 22 20 18 454035 432 26 24 22 20 18 Current(Amp.) MeanofSNratios Voltage(Volt) Root Gap(mm) Main Effects Plot for SN ratios Data Means Signal-to-noise: Nominal is best (10*Log10(Ybar**2/s**2)) Figure 7 Effects of process parameters on Hardness S/N ratio Analysis of variance for S/N ratio is summarized in Table 9 and it is observed that arc voltage is the most prominent factor which effects Hardness maximum with percent contribution of 62% followed by root gap with percent contribution 28% then welding current with percent contribution 6%. Table 9 Analysis of Variance for Signal to Noise Ratio of Hardness Source DF Seq SS Adj SS Adj MS F P PC (%) Arc Current 2 9.522 9.522 4.761 1.49 .0402 6 Arc Voltage 2 100.899 100.899 50.450 15.79 .0060 62 Root Gap 2 46.152 46.152 23.076 7.22 .0122 28 Residual Error 2 6.388 6.388 3.194 4 Total 8 162.962 The response values for S/N ratio for each level of identified factors have been listed in Table 10 which shows the factor level values of each factor and their ranking. Table 10 Response Table for Signal to Noise Ratio for Hardness LEVEL CURRENT (Amp.) VOLTAGE (Volt) ROOT GAP (mm) 1 21.77 17.58 25.32 2 21.33 25.17 19.90 3 23.70 24.06 21.59 DELTA 2.37 7.59 5.42 RANK 3 1 2
  • 5. Rakesh Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 1) November 2015, pp.01-05 www.ijera.com 5 | P a g e IV. CONCLUSION The mild steel 1018 was used for the present study to explore the different input process parameters on the tensile strength and hardness of the weld samples. The L9 orthogonal has been used to assign the identified parameters. ANOVA analysis was performed for the analysis purpose which shows that current is the most significant parameters that influenced the tensile strength and hardness of the weld. The highest tensile strength obtained in the research is 482.2 at current (180 amp), voltage (35 volt) and root gap (4 mm) at a welding current of 210 amp, The maximum hardness is obtained at a welding current (180 amp), arc voltage (40 volt) and root gap (3 mm). REFERENCES [1] Juang SC, Tarng YS. Process parameter selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel. J Mater Process Technol 122 (2002) 33-37. [2] Cary HB. 2nd ed. Modern welding technology.AWS.(1981). 82-85. [3] P.J. Ross, Taguchi Techniqes for Quality Engineering, McGraw Hill, New York, 1988. [4] G. Taguchi, Introduction to quality Engineering, Asian Productivity Organisitaion, Tokyo, 1990. [5] G.S.Peace, Taguchi Methods: A hand-on Aproach, Assison- Wesley, Reading, M.A, 1993. [6] K. Suresh Kumar, G. Phani Kumar, P. Dutta, K. Chattopadhyay (2002), “Microstructural development of Dissimilar Weldments: Case of MIG Welding of Cu with Fe filler”, Journal of Materials Science, Vol. 37, pp. 2345-2349. [7] G.Haragopal, PVR Ravindra Reddy, G Chandra Mohan Reddy, J V Subrahmanyam (2011), "Parametric design for MIG welding of Al- 65032 alloy using Tagauchi Method ", Journal of Scientific and Industrial Research, Vol. 70, pp.844 – 850. [8] S.V.Sapakal, M.T. Telsang (2012), “Parametric Optimization of MIG Welding Using Taguchi Design Method”, International Journal of Advanced Engineering Research and Study, Vol. 1, pp.28-30. [9] “Welding Process and technology” R.S.Parmar, Khanna Publishers, ISBN No. 81-7409-126-2. [10] “A Course in workshop technology”, B.S.Raghuwanshi, Dhanpat Rai & Co. 2008 Edition. [11] “A Text book of Welding Technology”, O.P.Khanna, Dhanpat Rai Publications, Edition 2005.