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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 232
A.K.Rude1, Mr. D.S. Pimpalgaonkar2
1 Student, M.E.(MPE.)
2 Assistant Professor MGM’S COE, Nanded
---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract –Related to wear resistant applications; in last few
years HARDFACING become an issue of intense development
.Shielded metal arc welding (SMAW) is most commonly used
process for hardfacing. Over a year research is going on to
reduce the wear either in the form of use of new wear resistant
material or by improving wear resistant ofexistingmaterialby
addition of wear resistant alloying element. Hardfacing is an
important process in which layer of wear resistant material
can be deposited over base material. So it became an
important tool in tribology.
Knowing the large scale applications of mild steel the present
work is carried out on mild steel by SMAW for the optimization
of process parameters in hardfacing. The study is done on
current; number of layers and type of electrode as a key
parameters in SMAW.
Keywords – SMAW; Hardfacing;Microhardness,;Current;
Layer, Electrode
I INTRODUCTION
If a hard ware resistant material is deposited over a soft and
ductile material to improve the wear resistant then the
process is called HARDFACING. Hardfacing is done for
improving surface characteristics like corrosion resistance;
wear resistance also for getting required size of the job. It is
one of the most useful & economical way to improve the
performance of the components under severe wear
condition.
Low carbon steel (mild steel) is selected for present work
because of its low cost; easily available and has variety of
applications. Further in hardfacing process an alloy can be
homogeneously deposited onto base material by welding.
Present work is aimed to study the Hardnessofbasematerial
by varying the number of layers and current with changing
the electrodes.
For studying the result Design of experiment by Taguchi is
used.
II DESIGN OF EXPERIMENT
As there are three factors; a two level L8 orthogonal array is
used. The input parametersand levels are given intableno.1
below.
Asper the design matrix beadson mild steel plateshavebeen
deposited to conduct eight trials of 2^3 factorial design.
Table 1: Input Parameters and Levels
Parameters Coding Level 1 Level 2
Welding current I 140 170
Electrode E 650 350
Number of layers L 1 2
Accordingly the response parameter (hardness) is recorded.
To check the significance of the model by the method of
regression the analysis of variance is done by assuming the
linear relationship.
III EXPERIMENTATION
For carrying out the experimentation work the selected base
material is cut into 150x50x80mm3 size of low carbon steel.
Electrode used is DUROID 650 and ZEDALLOY 350 having
hardness 55-58 HRC and 35-40 HRC respectively. The
electrodes used for experimentation arc having good arc
stability; low spatter and smooth arc characteristic.
FIG. 1 Electrode
IV PREPARATION OF BASE MATERIAL
Eight mild steel plates have been selected (150x50x8 mm³).
The mild steel specimens were taken as the base metal upon
which the hardfacing material has been deposited by SMAW
welding.
Optimization Of Process Parameter In Hardfacing By Shield Metal Arc
Welding (SMAW)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 233
V CONDUCTING TRIAL RUNS
FIG.2 Specimens
Trial runs were conducted on the base plate according to
different parameters selected from orthogonal array. In the
present work electrode size, welding position, welding
speed, electrode to base plate angle was kept constant to the
maximum possibility. In the trial runs it was observed
changing the electrode changeshardness,alsotosomeextent
changing current and layers also changeshardness. Number
of specimens were prepared and examined. Cut specimens
were taken for microhardnessevaluation. Testingofsamples
was done.
VI TESTING
After experimentation sampleswere tested for thefollowing
& results are studied.
Hardness Test
Hardness test is done at Subodh labs Navi Mumbai. The
hardness tests were carried out by polishing the cross
sectioned samples with emri papers up to grade 2000. For
micro hardness testing the specimens were prepared by
using standard procedure ASTM E384-2016.
Polishing with fine grades of Emery paper up to 2000 grit
size. Micro hardness tester was used to measure micro
hardness at various zones in weldment. A load of 10gf to
1000gf is used. The indenter is held in place for 10 or 15
seconds. Different readingswere taken along theedgelength
of welded specimen and average of all the readings was
taken to get final value. The Vickers hardness (HV) is
calculated using
HV=
d
L
2
4.1854
d= average diagonal in µm
L= load in gf
FIG. 3 Micro-Hardness Tester
VII EXPERIMENTAL RESULTS
The result of this experimentation over layersfor hardfacing
of low carbon steel using hardfacing electrode is discussed.
The table 2 showsthe L8 orthogonal array for differentlevels
and input parameters.
Table 2: L8 orthogonal array
Sample
Number
Welding
Current
Electrode Number Of
Layers
1 1 1 1
2 1 1 2
3 2 1 1
4 2 1 2
5 1 2 1
6 1 2 2
7 2 2 1
8 2 2 2
The mechanical testing of welded specimens isgiven in table
3. The samples were categorized as 1 to 8 as per the welding
conditions which are welding current, electrode andnumber
of layers.
Table 3 Microhardness and S/N Ratio
Sample
No.
Welding
current
(I)
Electrode
(E)
No. of
Layer(L)
Average
Micro
Hardness
(HV)
S/N
Ratios
1 140 650 1 751 57.512
2 140 650 2 813 58.201
3 140 350 1 303 49.628
4 140 350 2 311 49.855
5 170 650 1 503 54.031
6 170 650 2 783 57.875
7 170 350 1 299 49.513
8 170 350 2 311 49.855
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 234
VIII ANALYSIS OF MICROHARDNESS
Micro-hardness analysis here depends on three variables:
1. Welding Current
2. Welding Electrode
3. Number of Welding Layers
IX SIGNAL TO NOISE RATIO (S/N RATIO)
As mentioned earlier, hardness is the higher–the –better
performance characteristic. The lossfunction for the higher-
the-better performance characteristic can be expressed as










 
n
i
i
L
y
LOGSN n 1
210
11
10
Where yi represents the experimentally observed value of
the experiments, n is the repeated number of each
experiment in each run. The S/N ratio from the observed
value is calculated in decibel (db).
X ANALYSIS OF VARIANCE
The purpose of the ANOVA is to investigate whichhardfacing
process parameters significantly affect the performance
characteristic.
Analysis was undertaken at a level of significance of 5%. The
percentage contribution by eachweldingprocessparameters
in the total sum of squared deviation can be used to evaluate
the importance of process parameter change on the
performance characteristics. In addition to, the F-testnamed
after fisher can also be used to determine, which welding
process parameter have a significant effect on the
performance characteristics. When the F value is large
usually the change of the welding parameter hasasignificant
effect on the performance characteristics.
Table 4 shows the process parameters that were chosen.
Two levels were specified for each parameter. Above table
shows ANOVA for micro-hardness of hardfaced value. From
table 3 the values of sum of squares, mean of squares and %
contribution are found as shown in Table 4
And it can be seen that electrode and number of layer are
significant factor. Also the electrode contribution is 95.23%
with a residual error of 0.005%. The main effect of
hardfacing is to increase the hardness, so larger is the better
option is selected from Taguchi designandaccordinglysignal
to noise ratio is generated. It was found that level-1 of
electrode and level-2 of layers with level-1 of current gives
the optimum values. Among all the welded specimens
maximum microhardness(813HV) is observed with current
140 A with electrode 650 and layer 2. The minimum
hardness observed is 299 HV with current 170A ,electrode
350 and layer 1.Electrode deposited on the base materialhas
the most significant effect on microhardness. The highest
microhardness has highest S/N ratio calculated using “
MINITAB 17” software at parameter 140 A welding current,
electrode 650 and 2 layers. Depending upon the input
parameters ANOVA is applied to authenticate the significant
or non-significant factor with percentage contribution is
calculated.
Table 4 ANOVA for S/N ratios for micro-hardness
Para-meter Current
(I)
Electrode
(E)
No. of
layer
(L)
Residual
error
Total
Degree Of
freedom (df)
1 1 1 4 7
Sum Of
Squares (SS)
1.923 3.254 103.45 6.16 114.786
Mean squares
(MS)
1.923 3.254 103.45 1.54
F value 1.25 2.11 67.18
P value 0.326 0.220 0.001
%
Contribution
1.77 95.23 2.995 0.005 100.00
From ANOVA following equations were obtained,
Hardness (350 electrode)=535-2.35 xcurrent+90.5xlayer
Hardness (650 electrode)=941-2.35xcurrent+90.5xlayer
XI RESULT AND ANALYSIS
Table 5 Response Table for Hardness
Level Current Layers Electrode
1 53.80 52.67 49.71
2 52.82 53.95 56.91
Delta 0.98 1.28 7.19
Rank 3 2 1
Main Effects Plot For S/N ratios
Fig. 4 Main effect plots for S/N ratios
The main effect plots for S/N ratios in figure 4. This plot
shows the variation of micro-hardness (HV) with change in
three parameters; welding current, electrodes, number of
layers of welding. In plots, the x-axis indicates
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 235
The value of each process parameter (at two levels for
welding current, electrodes and no. Of welding layers), y-
axis the response value (micro-hardness). Horizontal line
indicates the mean value of the response or microhardness.
The main effect plots are used to determine the optimal
design conditions to obtain the optimum micro-hardness
(HV).
Main effect plots for micro-hardness (HV) are plotted
between:
1. Micro-hardness (HV) V/s electrodes
2. Micro-hardness (HV) V/s Welding Current
3. Micro-hardness (HV) V/s no. Of layers.
The effect of each parameter on the microhardnessisplotted
on the graph in form of linesin figure 4. From the main effect
plots for S/N ratios, it is clear that the micro hardness
decreases as the current is increased. Main effects plot for
S/N ratios between electrodes, no. Of layers of welding and
micro hardness show that the micro hardness increases
linearly from lower to higher value with increase in no. of
layersof welding and electrodesfrom 350to650.Fromthisit
is observed that the electrodes and no. of layers have the
most significant effect on the micro-hardness (HV).
Time Series Plot FOR Micro hardness
87654321
800
700
600
500
400
300
Index
hardness
Time Series Plot of hardness
Fig. 5 Time series plot for micro-hardness
In time series plot there is a sequence of measurements of
some numerical quantity made at some regular interval.
Figure 6 shows time seriesplot of mean microhardness.This
graph shows a plot of mean micro-hardness versus number
of experimental runs. Time series plots consist of time scale
(number of runs) on X- axisand Data scale (micro-hardness)
on the Y- axis. From figure 6, it is clear that the two extreme
points on periodic Fluctuation Represents theminimumand
maximum micro-hardnessat 3rd and 2nd run of experiment
respectively.
Main Effect Plot for Microhardness
Fig. 6 Main effect plot for micro hardness
Main effect of current on hardness can be revealed from
figure 7. As the value of current is increased, the value of
hardness is decreased due to dilution effect. An increase in
the value of hardness with change in electrode and in
welding layers as is increased from 1 to 2.
Table 6 Confirmation Test Result
Parameters Optimal
Parameters
Predicted
Optimal
Value
Experimental
Value
Error %
Hardness
(HV)
I1E1L2 793.0 813 2.46
XII CONCLUSION
Present work concludes as follows:
 Effect on Micro hardness of weldingcurrent,number
of layers and type of electrode is linear in
characteristics.
 Micro hardness decreases with increase in welding
current.
 Micro hardness increases with number of layers.
 Micro hardness increases with types of electrodes.
 Optimum result observes with the combination of
factors that current and DUROID 650 electrode that
is 2nd layer of welding.
 It is observed that the type of electrodes and
number of layers significantly affects the hardness.
VII FUTURE SCOPE
 The toughness properties can also be tested from
different point of view depending upon the Service
condition of hardfaced component.
 Corrosion testing may be incorporated depending
upon the specific service condition of hardfaced
component.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 236
 In future bending testing also may be incorporated
with hardness and wear testing.
 Other hardfacing processes may also be
investigated on similar aspects.
XIII REFERENCES
[1] M. Balakrishnan a, V. Balasubramanian , G. Madhusuhan
Reddy , K. Sivakumar “Effect of buttering and hardfacing on
ballistic performance of shielded metal arc welded armour
steel joints” Materialsand Design · February 2011 Materials
and Design 32 (2011) pp. 469–479.
[2] Dhananjay Singh Yadav, Raj KumarYadav“OptimalEffect
of Ferroboron Content by Paste TechniqueonMicrohardness
in Hardfaced Mild Steel” International Journal For
Technological Research In Engineering (IJTRE) Volume 2,
Issue 7, March-2015.Pp. 895-900
[3] Vikas, Shashikant, A.K.Roy and Kaushik Kumar,” Effect
and Optimization of Machine Process ParametersonMRRfor
EN19 & EN41 materialsusing Taguchi”,ProcediaTechnology
14 ( 2014 ) ,pp.204 – 210
[4] B. Balaji, C. Yuvraj, M.L.S.Devkumar “Optimization of
Welding Process Of Composite Chromium-Carbide Based
Tubular Electrode For Hardfacing”International Journal Of
Mechanical And Production Engineering Research And
Development, Vol.4 Issue 1, Feb. 2014, Pp. 39-46
[5]Y.S.Tarng, S.C.Juang, C.H.Chang, “The Use Of Grey-Based
Taguchi Methods To Determine Submerged Arc Welding
Process Parameters In Hardfacing” , Journal Of Materials
Processing Technology 128 ,2002, Pp. 1-6
[6] S. H. Zoalfakar, A. A. Hassan “Analysis and Optimization
Of Shielded Metal Arc Welding Parameters On Mechanical
Properties Of Carbon Steel Joints By Taguchi Method”
International Journal Of Advanced Engineering And Global
Technology I Vol-05, Issue-01, January 2017,Pp.1431-1444
[7] Gautam Kocher, Om Parkash, Sachit Vardhan“
Hardfacing By Welding To Increase Wear Resistance
Properties Of EN31by MR 3LH Electrode International
Journal Of Emerging Technology And Advanced Engineering,
Volume 2, Issue 2, February 2012, Pp. 102-105
[8]R.A.Fisher, Statistical Methods For Research Workers,
Oliver & Boyd, London,1925
[9] Phillip J. Ross, Taguchi Techniques For Quality
Engineering 1988
[10] Harvinder Singh, “Studies The Effect Of Iron Based
Hardfacing Electrodes On Stainless Steel Properties Using
Shielded Metal Arc Welding Process”, International Journal
Of Research In Advent Technology, Vol.2, No.4, April 2014,
Pp. 419-430.
[11] Preetinder Singh, Taljeet Singh, Dilpreet Singh, Avtar
Singh, “ Wear Characteristics Of Chromium Carbide Hard
Faced Layer Made By Paste Technique Using E-7014 SMAW
Electrode”, 2017 IJEDR| Volume 5, Issue 2 |, Pp. 744-756
[12] Prof. Digambar Benne, Dr. Dhanoranjan Choudhary, “ A
Study On Enhancement Of Wear ResistanceCharacteristicsOf
Low Carbon Steel Components Hardfaced By Arc Welding
Processes”, International Journal Of Mechanical Engineering
And Information Technology, Vol. 3 , Pp. 1524-1528.

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IRJET-Optimization of Process Parameter in Hardfacing by Shield Metal Arc Welding (SMAW)

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 232 A.K.Rude1, Mr. D.S. Pimpalgaonkar2 1 Student, M.E.(MPE.) 2 Assistant Professor MGM’S COE, Nanded ---------------------------------------------------------------------***-------------------------------------------------------------------- Abstract –Related to wear resistant applications; in last few years HARDFACING become an issue of intense development .Shielded metal arc welding (SMAW) is most commonly used process for hardfacing. Over a year research is going on to reduce the wear either in the form of use of new wear resistant material or by improving wear resistant ofexistingmaterialby addition of wear resistant alloying element. Hardfacing is an important process in which layer of wear resistant material can be deposited over base material. So it became an important tool in tribology. Knowing the large scale applications of mild steel the present work is carried out on mild steel by SMAW for the optimization of process parameters in hardfacing. The study is done on current; number of layers and type of electrode as a key parameters in SMAW. Keywords – SMAW; Hardfacing;Microhardness,;Current; Layer, Electrode I INTRODUCTION If a hard ware resistant material is deposited over a soft and ductile material to improve the wear resistant then the process is called HARDFACING. Hardfacing is done for improving surface characteristics like corrosion resistance; wear resistance also for getting required size of the job. It is one of the most useful & economical way to improve the performance of the components under severe wear condition. Low carbon steel (mild steel) is selected for present work because of its low cost; easily available and has variety of applications. Further in hardfacing process an alloy can be homogeneously deposited onto base material by welding. Present work is aimed to study the Hardnessofbasematerial by varying the number of layers and current with changing the electrodes. For studying the result Design of experiment by Taguchi is used. II DESIGN OF EXPERIMENT As there are three factors; a two level L8 orthogonal array is used. The input parametersand levels are given intableno.1 below. Asper the design matrix beadson mild steel plateshavebeen deposited to conduct eight trials of 2^3 factorial design. Table 1: Input Parameters and Levels Parameters Coding Level 1 Level 2 Welding current I 140 170 Electrode E 650 350 Number of layers L 1 2 Accordingly the response parameter (hardness) is recorded. To check the significance of the model by the method of regression the analysis of variance is done by assuming the linear relationship. III EXPERIMENTATION For carrying out the experimentation work the selected base material is cut into 150x50x80mm3 size of low carbon steel. Electrode used is DUROID 650 and ZEDALLOY 350 having hardness 55-58 HRC and 35-40 HRC respectively. The electrodes used for experimentation arc having good arc stability; low spatter and smooth arc characteristic. FIG. 1 Electrode IV PREPARATION OF BASE MATERIAL Eight mild steel plates have been selected (150x50x8 mm³). The mild steel specimens were taken as the base metal upon which the hardfacing material has been deposited by SMAW welding. Optimization Of Process Parameter In Hardfacing By Shield Metal Arc Welding (SMAW)
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 233 V CONDUCTING TRIAL RUNS FIG.2 Specimens Trial runs were conducted on the base plate according to different parameters selected from orthogonal array. In the present work electrode size, welding position, welding speed, electrode to base plate angle was kept constant to the maximum possibility. In the trial runs it was observed changing the electrode changeshardness,alsotosomeextent changing current and layers also changeshardness. Number of specimens were prepared and examined. Cut specimens were taken for microhardnessevaluation. Testingofsamples was done. VI TESTING After experimentation sampleswere tested for thefollowing & results are studied. Hardness Test Hardness test is done at Subodh labs Navi Mumbai. The hardness tests were carried out by polishing the cross sectioned samples with emri papers up to grade 2000. For micro hardness testing the specimens were prepared by using standard procedure ASTM E384-2016. Polishing with fine grades of Emery paper up to 2000 grit size. Micro hardness tester was used to measure micro hardness at various zones in weldment. A load of 10gf to 1000gf is used. The indenter is held in place for 10 or 15 seconds. Different readingswere taken along theedgelength of welded specimen and average of all the readings was taken to get final value. The Vickers hardness (HV) is calculated using HV= d L 2 4.1854 d= average diagonal in µm L= load in gf FIG. 3 Micro-Hardness Tester VII EXPERIMENTAL RESULTS The result of this experimentation over layersfor hardfacing of low carbon steel using hardfacing electrode is discussed. The table 2 showsthe L8 orthogonal array for differentlevels and input parameters. Table 2: L8 orthogonal array Sample Number Welding Current Electrode Number Of Layers 1 1 1 1 2 1 1 2 3 2 1 1 4 2 1 2 5 1 2 1 6 1 2 2 7 2 2 1 8 2 2 2 The mechanical testing of welded specimens isgiven in table 3. The samples were categorized as 1 to 8 as per the welding conditions which are welding current, electrode andnumber of layers. Table 3 Microhardness and S/N Ratio Sample No. Welding current (I) Electrode (E) No. of Layer(L) Average Micro Hardness (HV) S/N Ratios 1 140 650 1 751 57.512 2 140 650 2 813 58.201 3 140 350 1 303 49.628 4 140 350 2 311 49.855 5 170 650 1 503 54.031 6 170 650 2 783 57.875 7 170 350 1 299 49.513 8 170 350 2 311 49.855
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 234 VIII ANALYSIS OF MICROHARDNESS Micro-hardness analysis here depends on three variables: 1. Welding Current 2. Welding Electrode 3. Number of Welding Layers IX SIGNAL TO NOISE RATIO (S/N RATIO) As mentioned earlier, hardness is the higher–the –better performance characteristic. The lossfunction for the higher- the-better performance characteristic can be expressed as             n i i L y LOGSN n 1 210 11 10 Where yi represents the experimentally observed value of the experiments, n is the repeated number of each experiment in each run. The S/N ratio from the observed value is calculated in decibel (db). X ANALYSIS OF VARIANCE The purpose of the ANOVA is to investigate whichhardfacing process parameters significantly affect the performance characteristic. Analysis was undertaken at a level of significance of 5%. The percentage contribution by eachweldingprocessparameters in the total sum of squared deviation can be used to evaluate the importance of process parameter change on the performance characteristics. In addition to, the F-testnamed after fisher can also be used to determine, which welding process parameter have a significant effect on the performance characteristics. When the F value is large usually the change of the welding parameter hasasignificant effect on the performance characteristics. Table 4 shows the process parameters that were chosen. Two levels were specified for each parameter. Above table shows ANOVA for micro-hardness of hardfaced value. From table 3 the values of sum of squares, mean of squares and % contribution are found as shown in Table 4 And it can be seen that electrode and number of layer are significant factor. Also the electrode contribution is 95.23% with a residual error of 0.005%. The main effect of hardfacing is to increase the hardness, so larger is the better option is selected from Taguchi designandaccordinglysignal to noise ratio is generated. It was found that level-1 of electrode and level-2 of layers with level-1 of current gives the optimum values. Among all the welded specimens maximum microhardness(813HV) is observed with current 140 A with electrode 650 and layer 2. The minimum hardness observed is 299 HV with current 170A ,electrode 350 and layer 1.Electrode deposited on the base materialhas the most significant effect on microhardness. The highest microhardness has highest S/N ratio calculated using “ MINITAB 17” software at parameter 140 A welding current, electrode 650 and 2 layers. Depending upon the input parameters ANOVA is applied to authenticate the significant or non-significant factor with percentage contribution is calculated. Table 4 ANOVA for S/N ratios for micro-hardness Para-meter Current (I) Electrode (E) No. of layer (L) Residual error Total Degree Of freedom (df) 1 1 1 4 7 Sum Of Squares (SS) 1.923 3.254 103.45 6.16 114.786 Mean squares (MS) 1.923 3.254 103.45 1.54 F value 1.25 2.11 67.18 P value 0.326 0.220 0.001 % Contribution 1.77 95.23 2.995 0.005 100.00 From ANOVA following equations were obtained, Hardness (350 electrode)=535-2.35 xcurrent+90.5xlayer Hardness (650 electrode)=941-2.35xcurrent+90.5xlayer XI RESULT AND ANALYSIS Table 5 Response Table for Hardness Level Current Layers Electrode 1 53.80 52.67 49.71 2 52.82 53.95 56.91 Delta 0.98 1.28 7.19 Rank 3 2 1 Main Effects Plot For S/N ratios Fig. 4 Main effect plots for S/N ratios The main effect plots for S/N ratios in figure 4. This plot shows the variation of micro-hardness (HV) with change in three parameters; welding current, electrodes, number of layers of welding. In plots, the x-axis indicates
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 235 The value of each process parameter (at two levels for welding current, electrodes and no. Of welding layers), y- axis the response value (micro-hardness). Horizontal line indicates the mean value of the response or microhardness. The main effect plots are used to determine the optimal design conditions to obtain the optimum micro-hardness (HV). Main effect plots for micro-hardness (HV) are plotted between: 1. Micro-hardness (HV) V/s electrodes 2. Micro-hardness (HV) V/s Welding Current 3. Micro-hardness (HV) V/s no. Of layers. The effect of each parameter on the microhardnessisplotted on the graph in form of linesin figure 4. From the main effect plots for S/N ratios, it is clear that the micro hardness decreases as the current is increased. Main effects plot for S/N ratios between electrodes, no. Of layers of welding and micro hardness show that the micro hardness increases linearly from lower to higher value with increase in no. of layersof welding and electrodesfrom 350to650.Fromthisit is observed that the electrodes and no. of layers have the most significant effect on the micro-hardness (HV). Time Series Plot FOR Micro hardness 87654321 800 700 600 500 400 300 Index hardness Time Series Plot of hardness Fig. 5 Time series plot for micro-hardness In time series plot there is a sequence of measurements of some numerical quantity made at some regular interval. Figure 6 shows time seriesplot of mean microhardness.This graph shows a plot of mean micro-hardness versus number of experimental runs. Time series plots consist of time scale (number of runs) on X- axisand Data scale (micro-hardness) on the Y- axis. From figure 6, it is clear that the two extreme points on periodic Fluctuation Represents theminimumand maximum micro-hardnessat 3rd and 2nd run of experiment respectively. Main Effect Plot for Microhardness Fig. 6 Main effect plot for micro hardness Main effect of current on hardness can be revealed from figure 7. As the value of current is increased, the value of hardness is decreased due to dilution effect. An increase in the value of hardness with change in electrode and in welding layers as is increased from 1 to 2. Table 6 Confirmation Test Result Parameters Optimal Parameters Predicted Optimal Value Experimental Value Error % Hardness (HV) I1E1L2 793.0 813 2.46 XII CONCLUSION Present work concludes as follows:  Effect on Micro hardness of weldingcurrent,number of layers and type of electrode is linear in characteristics.  Micro hardness decreases with increase in welding current.  Micro hardness increases with number of layers.  Micro hardness increases with types of electrodes.  Optimum result observes with the combination of factors that current and DUROID 650 electrode that is 2nd layer of welding.  It is observed that the type of electrodes and number of layers significantly affects the hardness. VII FUTURE SCOPE  The toughness properties can also be tested from different point of view depending upon the Service condition of hardfaced component.  Corrosion testing may be incorporated depending upon the specific service condition of hardfaced component.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 236  In future bending testing also may be incorporated with hardness and wear testing.  Other hardfacing processes may also be investigated on similar aspects. XIII REFERENCES [1] M. Balakrishnan a, V. Balasubramanian , G. Madhusuhan Reddy , K. Sivakumar “Effect of buttering and hardfacing on ballistic performance of shielded metal arc welded armour steel joints” Materialsand Design · February 2011 Materials and Design 32 (2011) pp. 469–479. [2] Dhananjay Singh Yadav, Raj KumarYadav“OptimalEffect of Ferroboron Content by Paste TechniqueonMicrohardness in Hardfaced Mild Steel” International Journal For Technological Research In Engineering (IJTRE) Volume 2, Issue 7, March-2015.Pp. 895-900 [3] Vikas, Shashikant, A.K.Roy and Kaushik Kumar,” Effect and Optimization of Machine Process ParametersonMRRfor EN19 & EN41 materialsusing Taguchi”,ProcediaTechnology 14 ( 2014 ) ,pp.204 – 210 [4] B. Balaji, C. Yuvraj, M.L.S.Devkumar “Optimization of Welding Process Of Composite Chromium-Carbide Based Tubular Electrode For Hardfacing”International Journal Of Mechanical And Production Engineering Research And Development, Vol.4 Issue 1, Feb. 2014, Pp. 39-46 [5]Y.S.Tarng, S.C.Juang, C.H.Chang, “The Use Of Grey-Based Taguchi Methods To Determine Submerged Arc Welding Process Parameters In Hardfacing” , Journal Of Materials Processing Technology 128 ,2002, Pp. 1-6 [6] S. H. Zoalfakar, A. A. Hassan “Analysis and Optimization Of Shielded Metal Arc Welding Parameters On Mechanical Properties Of Carbon Steel Joints By Taguchi Method” International Journal Of Advanced Engineering And Global Technology I Vol-05, Issue-01, January 2017,Pp.1431-1444 [7] Gautam Kocher, Om Parkash, Sachit Vardhan“ Hardfacing By Welding To Increase Wear Resistance Properties Of EN31by MR 3LH Electrode International Journal Of Emerging Technology And Advanced Engineering, Volume 2, Issue 2, February 2012, Pp. 102-105 [8]R.A.Fisher, Statistical Methods For Research Workers, Oliver & Boyd, London,1925 [9] Phillip J. Ross, Taguchi Techniques For Quality Engineering 1988 [10] Harvinder Singh, “Studies The Effect Of Iron Based Hardfacing Electrodes On Stainless Steel Properties Using Shielded Metal Arc Welding Process”, International Journal Of Research In Advent Technology, Vol.2, No.4, April 2014, Pp. 419-430. [11] Preetinder Singh, Taljeet Singh, Dilpreet Singh, Avtar Singh, “ Wear Characteristics Of Chromium Carbide Hard Faced Layer Made By Paste Technique Using E-7014 SMAW Electrode”, 2017 IJEDR| Volume 5, Issue 2 |, Pp. 744-756 [12] Prof. Digambar Benne, Dr. Dhanoranjan Choudhary, “ A Study On Enhancement Of Wear ResistanceCharacteristicsOf Low Carbon Steel Components Hardfaced By Arc Welding Processes”, International Journal Of Mechanical Engineering And Information Technology, Vol. 3 , Pp. 1524-1528.