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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 4, June 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 515
Optimization of Wire Cut EDM of Aluminium
Alloy 6063 by using Taguchi Technique
Kandukuri Srinivas1, K. Anabayan1, P. H. J. Venkatesh2
1Department of Mechanical Engineering,
JB Institute of Engineering and Technology, Hyderabad, Telangana, India
2Department of Mechanical Engineering,
Vignans Institute of Information Technology(A), Visakhapatnam, Andhra Pradesh, India
ABSTRACT
The cold work applicationslikealuminiumextrusion,itallowscomplexshapes
to be formed with very smooth surfaces and it is popular for visible
architectural applications such as windowframes,doorframes,roofs,andsign
frames should have high toughness, wear resistance, compressive strength,
high corrosion resistance, high surface finish and complexprofiles.AA6063is
an aluminium alloy, with magnesium and siliconasthealloyingelements. This
material can satisfy the above requirements, because of its hardness and
strength AA 6063 cannot be machined easily through traditional machining
processes. Advanced machining processes are used only when there is no
suitable traditional machining process to meet necessary requirements
efficiently and economically. Among them wire cut EDM is employed because
of its tight tolerances and high surface finish. Based on intense literature
survey, it was noticed that very few works were reported on WEDM of AA
6063. As a part of our thesis, WEDM of AA 6063 is considered for the study. In
this work Pulse on time, pulse off time, peak current, wire speed, wire tension
and flushing pressure of dielectric medium are considered as parametersand
their effect on performance measures, metal removal rate (MRR) and surface
roughness will be studied through experimental investigation. Using Taguchi
approach, considered parameters will be optimized for maximum MRR and
minimum for Surface roughness separately.Taguchimethodwill beappliedto
generate mean S/N ratios to identify the optimum process parameters.
KEYWORDS: Compressive Strength, Complex Profile, EDM, MRR, Surface
Roughness, Taguchi Approach
How to cite this paper: Kandukuri
Srinivas | K. Anabayan | P. H. J. Venkatesh
"Optimization of Wire Cut EDM of
Aluminium Alloy 6063 by using Taguchi
Technique"
Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-4, June 2020, pp.515-518, URL:
www.ijtsrd.com/papers/ijtsrd31047.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
INTRODUCTION
As a part of our theory WEDM of Aluminium alloy 6063
(Silicon-0.2 to 0.6%, Iron-0.35%, copper-0.10 Manganese-
0.1%, Magnesium-0.45 to 0.9%, Zinc-0.10%,Titanium-
0.1%,Chromium-0.1max remaining is balanced by
Aluminium) is consideredforthestudy.InthisresearchPeak
Current, Pulse On time and Pulse Off time are considered as
input process parameters. The effect of these parameterson
performance measure i.e., metal removal rate (MRR) and
Surface Roughness (Ra) is studied through experimental
investigation. Taguchi Method is applied to identify the
optimum processparametersatwhichMRR ismaximumand
Ra is minimum.
Applications of AA6063
AA6063 is an medium strength alloy and having high
hardness.
Typical applications for AA6063:
A. Architectural applications
B. Extrusions
C. Window frames
D. Doors
E. Shop fittings
F. Irrigation tubing
WIRE ELECTRIC DISCHARGE MACHINING:
Electrical discharge machining (EDM) is a nontraditional,
thermoelectric processwhicherodesmaterial fromthework
piece by a series of discrete sparks between a work and tool
electrode immersed in a liquid dielectric medium. These
electrical discharges melt and vaporize minute amounts of
the work material, which are then ejected and flushed away
by the dielectric. The sparks occurring at frequency
continuously remove the work piece material by melting &
evaporation. The dielectric acts as a deionizing medium
between two electrodes and its flow evacuates the solidified
material debris from the gap assuring optimal conditionsfor
spark generation. The material removal protocols for both
EDM and WEDM are identical but the functional
characteristics are different. Mainly, WEDM requires a thin
wire for continuously feeding through the work piece by a
microprocessor based control system which supports the
various complex parts such as, shapes are machined with
better accuracy. Due to such advantages the variouskinds of
micro shaped holes, micro gears, complex micro parts and
dies etc. can be machined with a better performance by
WEDM process than other machining process. According to
the requirements of the product for industrial use the
development of the WEDM machine has been done with the
same principle as that of EDM. Wire electrical discharge
IJTSRD31047
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 516
machining (WEDM) also known as wire-cut EDM. In this
process a thin single brass or copper coated electrode is fed
through the work piece which is immersed in the dielectric
fluid, mainly deionized water is used as a dielectricfluid.The
wire-cut types of machines were used in the 60th century for
the resolution of making tools and dies by hardened steel.
Principle of wire electrical discharge machining:
In WEDM metal is cut with a special metal wire electrode
that is programmed totravel alonga preprogrammedpath.A
WEDM generates spark discharges between a small wire
electrode (usually less than 0.5 mm diameter) and a work
piece with deionized water as the dielectric medium and
erodes the work piece to produce complex two and three
dimensional shapes according to a numerically controlled
(NC) path. The wire cut EDM uses a very thin wire0.02to 0.3
mm in diameter as an electrode and machines a work piece
with electrical discharge by moving either the work piece or
wire. Erosion of the metal utilizing thephenomenonofspark
discharge that is the very same as in conventional EDM. The
prominent feature of a moving wire is that a complicated
cutout can be easily machined without using a forming
electrode.
Wire cut EDM machine basically consists of a machine
properly composed of a work piece contour movement
control unit (NC unit or copying unit), work piece mounting
table and wire driven section for accurately movingthewire
at constant tension, a machiningpowersupplywhichapplies
electrical energy to the wire electrode and a unit which
supplies a dielectric fluid (distilled water) with constant
specific resistance.
Figure 1: Cutting Mechanism of WEDM
The main goals of WEDM manufacturers and users are to
achieve a better stability and higher productivity of the
WEDM process, i.e., Higher machining rate with desired
accuracy and minimum surface damage. However, due to a
large number of variables even a highly skilled operator
working with a WEDM is unable to achieve the optimal
performance and avoid wire rupture and surface damage as
the machining progresses. Although most of the WEDM
machines available today have some kind of processcontrol,
still selecting and maintaining optimal settings is an
extremely difficult job. The lack of mach inability data on
conventional as well as advanced materials, precise gap
monitoring devices, and an adaptive control strategy that
accounts for the time-variant and stochastic nature of the
process are the main obstacles toward achieving the
ultimate goal of unmanned WEDM operation.
Material properties
Table 1.Material Properties of Brass
Properties Value
Young’s modulus(GPa) 106
Shear modulus(GPa) 37
Poisson’s ratio 0.31
Density(g/cc) 8.49
Electrical resistivity(x10-8Ohm-m) 7.1
Specific heat (J/molK) 26.26
Melting point(°C) 890
Thermal conductivity(W/mK) 115
METHODOLOGY
Design of experiments:
Optimization of process parameters is the key step in the
Taguchi method to achieve high quality without increasing
cost. The optimal process parameters are selected not only
to improve quality, but also to be least sensitive to the
variation of environmental conditions. Basically, classical
process parameter design is complex and not easy to use.
Many experiments have to be carried out when the number
of process parameters increases. To overcome this problem
the Taguchi method uses a special design of orthogonal
arrays to study the entire process parameter characteristics
with a small number of experiments. A loss function is then
defined to calculate the deviation between the experimental
value and the desired value. Taguchi recommends use of the
loss function to measure the performance characteristic
deviating from the desired value. The value of the loss
function is further transformed into a signal-to-noise (S/N)
ratio. Usually, there are three categories of the performance
characteristic in the analysis of the S/N ratio, that is, the
lower-the-better, higher-the-better,andnominal-the-better.
The S/N ratio for each level of process parameter is
computed based on the S/N analysis. Regardless of the
category of the performance characteristic, the larger S/N
ratio corresponds to a better performance characteristic.
Therefore, the optimal level of a process parameters is the
level with the highest S/N ratio. This is true for the
optimization of a single performance characteristic.
However, optimization of multiple performance
characteristics is different from that of a single performance
characteristic. The higher S/N ratio for one performance
characteristic may correspond to a lower S/N ratio for
another. Therefore, the overall evaluation of the S/N ratio is
required for the optimization of multiple performance
characteristics.
Orthogonal Array Experiment
Selection of anappropriateorthogonal arrayforexperiments
depends on these items in order of priority:
The number of factors and interactions of interest.
The number of levels for the factors of interest.
The desired experimental accuracy or costlimitations.In the
present study, a three factors Peak current, Pulse on time,
Pulse off time are selected . The next step is to select an
appropriate orthogonal array to fit the specific task. The
degrees of freedom for the orthogonal array should be
greater than or at least equal to those for the machining
parameters. In this study, an L9 orthogonal array is used.
This array has three columns and 9 rows and it can handle
the three-level cutting parameters at most.Therefore,only9
experiments are needed to study the entire cutting factor
space using the L9 orthogonal array.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 517
Computational procedure:
The experimental observations are furthertransformedinto
a signal-to-noise (S/N) ratio. There are several S/N ratios
available depending on the type of characteristics. The
characteristic that higher value representsbettermachining
performance, such as MRR, is called ‘higher is better, HB’.
Inversely, the characteristic that lower value represents
better machining performance, such as surfaceroughness,is
called ‘lower is better, LB. Therefore, ”HB” for the MRR ’LB’’
for the SF and “LB” for the kerf were selected for obtaining
optimum machining performance characteristics were
selected for obtaining optimum machining performance
characteristics.
The loss function (L) for objective of HB and is defined as
follows:
LHB = (1/nΣⁿ|₌₀ 1/y²|)
The S/N ratio can be calculated as a logarithmic
transformation of the loss function as shown below
S/N ratio for MRR = -10log1/n(Σⁿ|₌₀ 1/y²|)
The loss function (L) for objective of LB and is defined as
follows:
LLB = (1/nΣⁿ|₌₀ y²|)
The S/N ratio can be calculated as a logarithmic
transformation of the loss function as shown below
S/N ratio for SR = -10log1/n(Σⁿ|₌₀ y²|)
Optimization of process parametersof WEDMonAA6063by
using
Taguchi technique
Design of Experiments
The taguchi method is very helpful to reduce the number of
experiments by its robust design. This can bedonebydesign
of experiments. The overall objective of the method is to
produce high quality product at low cost to the
manufacturer. Taguchi developed a method for designing
experiments to investigate influence of process parameters
on output performance measures.Optimizationof WEDM by
using Taguchi technique consists of several steps. These are
explained below.
Selection of process parameters
Table2: Machining parameters and their levels
S.
no
Parameter
Level
1
Level
2
Level
3
1 Peak current in Amps 10 11 12
2 Pulse on time in μsec 100 104 108
3 Pulseoff time in μsec 55 59 63
Selection of orthogonal array:
Table 3:L9 Orthogonal Array
Test case IP Ton Toff
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
Experimentation:
Figure2: CNC WIRE CUT EDM machine
Figure3: work pieces after machining
RESULT AND DISCUSSION
Table 4: Experimental Results
S/N RATIOS OF MRR
Table5: S/N ratios for MRR
Sl. no S/N RATIO
1 11.2874
2 11.4855
3 13.2947
4 11.9561
5 15.5108
6 18.7754
7 12.3693
8 17.6562
9 19.71112
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 518
Table6: Average S/N ratios for MRR
LEVEL I/P TON TOFF
1 12.02 2.255 3.11
2 15.41 5.03 2.47
3 1.91 5.34 5.80
Figure 4: Average S/N ratios of MRR V/S Levels
Table7: Optimum process parameter values for MRR
Table 8:S/N RATIOS OF SR
LEVEL I/P TON TOFF
1 -5.622 -5.089 -7.527
2 -7.047 -7.135 -6.451
3 -7.988 -8.434 -6.679
Figure5: Average S/N ratios of SR v/s Levels
Table9: Optimum process parameter values of SR
CONCLUSION
The results obtained explains that an attempt was made to
determine the significant machining parameters for
performance measures like MRR and SR separately of
AA6063 by using WEDM process the factors like Peak
current, Pulse on time and Pulse off time have been found to
play a significant role for MRR and Surface roughness.
Taguchi’s method is used to obtain optimum process
parameters combination for maximization of MRR and
minimization of SR. The confirmation experiments were
conducted to evaluate the result predicted from Taguchi
Optimization and the future scope of the work on AA6063is
used in many manufacturing companies and machining
industries now-a-days to manufacture tools for different
types of machining because it has medium strength for a
material. Therefore, the present work may give some
guidelines for the researchers working in the electric
discharge machining of AA 6063.This work describes the
machining characteristics of AA 6063, as the performance
measures get affected with the change in input variables.
REFERENCES
[1] S. S. Mahapatra et al., Optimization of Correlated
Quality Characteristicsin WEDMProcessusingTaguchi
Approach Coupled with Principal ComponentAnalysis,
J. Manuf. Sci. Prod. Volume 13 & 2013 (de gruyter).
[2] Saurabh Chhabra and Deepak Gupta, Optimization of
electrical discharge machining of composite 900 WC-
10 Co base on Taguchi approach”` European journal of
scientific research Vol. 64 No. 3 (2011), pp 426-436.
[3] P. Bharathi and G. Srinivas Rao, Experimental
investigation of WEDM variables on surfaceroughness
of AISI H13, Manufacturing Science and Technology
2013; 1 [2]: 23-30.
[4] Dipti Ranjan Patra et al. Int. Journal of Engineering
Research and Applications ISSN: 2248-9622, Vol. 5,
Issue 6, (Part -4) June 2015, pp.57-62.
[5] Vikram Singh and S. K. Pradhan,Optimizationof WEDM
Parameters Using Taguchi Technique and Response
Surface Methodology in Machining of AISI D2 Steel,
Procedia Engineering, Volume 97, 2014, Pages 1597-
1608.
[6] Atul kumar and Dr D. K. Singh. Optimization of
machining parameters in WEDM of AISI D3 Steel using
Taguchi Technique, Procedia CIRP 2014; 14: 194-199.
[7] Kamal Jangra et al. Optimization of multi machining
characteristics in WEDM of WC-5.3%Co composite
using integrated approachof Taguchi,GRAandentropy
method Frontiers of Mechanical EngineeringVolume7
& 2013 (springer link)
[8] Jaganathan P, naveen Kumar T, Dr. R.Sivasubramanian
“ Machiningparametersoptimizationof WEDMprocess
using Taguchi method” International journal of
scientific and research publication Vol. 2.

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Optimization of Wire Cut EDM of Aluminium Alloy 6063 by using Taguchi Technique

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 4, June 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 515 Optimization of Wire Cut EDM of Aluminium Alloy 6063 by using Taguchi Technique Kandukuri Srinivas1, K. Anabayan1, P. H. J. Venkatesh2 1Department of Mechanical Engineering, JB Institute of Engineering and Technology, Hyderabad, Telangana, India 2Department of Mechanical Engineering, Vignans Institute of Information Technology(A), Visakhapatnam, Andhra Pradesh, India ABSTRACT The cold work applicationslikealuminiumextrusion,itallowscomplexshapes to be formed with very smooth surfaces and it is popular for visible architectural applications such as windowframes,doorframes,roofs,andsign frames should have high toughness, wear resistance, compressive strength, high corrosion resistance, high surface finish and complexprofiles.AA6063is an aluminium alloy, with magnesium and siliconasthealloyingelements. This material can satisfy the above requirements, because of its hardness and strength AA 6063 cannot be machined easily through traditional machining processes. Advanced machining processes are used only when there is no suitable traditional machining process to meet necessary requirements efficiently and economically. Among them wire cut EDM is employed because of its tight tolerances and high surface finish. Based on intense literature survey, it was noticed that very few works were reported on WEDM of AA 6063. As a part of our thesis, WEDM of AA 6063 is considered for the study. In this work Pulse on time, pulse off time, peak current, wire speed, wire tension and flushing pressure of dielectric medium are considered as parametersand their effect on performance measures, metal removal rate (MRR) and surface roughness will be studied through experimental investigation. Using Taguchi approach, considered parameters will be optimized for maximum MRR and minimum for Surface roughness separately.Taguchimethodwill beappliedto generate mean S/N ratios to identify the optimum process parameters. KEYWORDS: Compressive Strength, Complex Profile, EDM, MRR, Surface Roughness, Taguchi Approach How to cite this paper: Kandukuri Srinivas | K. Anabayan | P. H. J. Venkatesh "Optimization of Wire Cut EDM of Aluminium Alloy 6063 by using Taguchi Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-4 | Issue-4, June 2020, pp.515-518, URL: www.ijtsrd.com/papers/ijtsrd31047.pdf Copyright © 2020 by author(s) and International Journal ofTrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) INTRODUCTION As a part of our theory WEDM of Aluminium alloy 6063 (Silicon-0.2 to 0.6%, Iron-0.35%, copper-0.10 Manganese- 0.1%, Magnesium-0.45 to 0.9%, Zinc-0.10%,Titanium- 0.1%,Chromium-0.1max remaining is balanced by Aluminium) is consideredforthestudy.InthisresearchPeak Current, Pulse On time and Pulse Off time are considered as input process parameters. The effect of these parameterson performance measure i.e., metal removal rate (MRR) and Surface Roughness (Ra) is studied through experimental investigation. Taguchi Method is applied to identify the optimum processparametersatwhichMRR ismaximumand Ra is minimum. Applications of AA6063 AA6063 is an medium strength alloy and having high hardness. Typical applications for AA6063: A. Architectural applications B. Extrusions C. Window frames D. Doors E. Shop fittings F. Irrigation tubing WIRE ELECTRIC DISCHARGE MACHINING: Electrical discharge machining (EDM) is a nontraditional, thermoelectric processwhicherodesmaterial fromthework piece by a series of discrete sparks between a work and tool electrode immersed in a liquid dielectric medium. These electrical discharges melt and vaporize minute amounts of the work material, which are then ejected and flushed away by the dielectric. The sparks occurring at frequency continuously remove the work piece material by melting & evaporation. The dielectric acts as a deionizing medium between two electrodes and its flow evacuates the solidified material debris from the gap assuring optimal conditionsfor spark generation. The material removal protocols for both EDM and WEDM are identical but the functional characteristics are different. Mainly, WEDM requires a thin wire for continuously feeding through the work piece by a microprocessor based control system which supports the various complex parts such as, shapes are machined with better accuracy. Due to such advantages the variouskinds of micro shaped holes, micro gears, complex micro parts and dies etc. can be machined with a better performance by WEDM process than other machining process. According to the requirements of the product for industrial use the development of the WEDM machine has been done with the same principle as that of EDM. Wire electrical discharge IJTSRD31047
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 516 machining (WEDM) also known as wire-cut EDM. In this process a thin single brass or copper coated electrode is fed through the work piece which is immersed in the dielectric fluid, mainly deionized water is used as a dielectricfluid.The wire-cut types of machines were used in the 60th century for the resolution of making tools and dies by hardened steel. Principle of wire electrical discharge machining: In WEDM metal is cut with a special metal wire electrode that is programmed totravel alonga preprogrammedpath.A WEDM generates spark discharges between a small wire electrode (usually less than 0.5 mm diameter) and a work piece with deionized water as the dielectric medium and erodes the work piece to produce complex two and three dimensional shapes according to a numerically controlled (NC) path. The wire cut EDM uses a very thin wire0.02to 0.3 mm in diameter as an electrode and machines a work piece with electrical discharge by moving either the work piece or wire. Erosion of the metal utilizing thephenomenonofspark discharge that is the very same as in conventional EDM. The prominent feature of a moving wire is that a complicated cutout can be easily machined without using a forming electrode. Wire cut EDM machine basically consists of a machine properly composed of a work piece contour movement control unit (NC unit or copying unit), work piece mounting table and wire driven section for accurately movingthewire at constant tension, a machiningpowersupplywhichapplies electrical energy to the wire electrode and a unit which supplies a dielectric fluid (distilled water) with constant specific resistance. Figure 1: Cutting Mechanism of WEDM The main goals of WEDM manufacturers and users are to achieve a better stability and higher productivity of the WEDM process, i.e., Higher machining rate with desired accuracy and minimum surface damage. However, due to a large number of variables even a highly skilled operator working with a WEDM is unable to achieve the optimal performance and avoid wire rupture and surface damage as the machining progresses. Although most of the WEDM machines available today have some kind of processcontrol, still selecting and maintaining optimal settings is an extremely difficult job. The lack of mach inability data on conventional as well as advanced materials, precise gap monitoring devices, and an adaptive control strategy that accounts for the time-variant and stochastic nature of the process are the main obstacles toward achieving the ultimate goal of unmanned WEDM operation. Material properties Table 1.Material Properties of Brass Properties Value Young’s modulus(GPa) 106 Shear modulus(GPa) 37 Poisson’s ratio 0.31 Density(g/cc) 8.49 Electrical resistivity(x10-8Ohm-m) 7.1 Specific heat (J/molK) 26.26 Melting point(°C) 890 Thermal conductivity(W/mK) 115 METHODOLOGY Design of experiments: Optimization of process parameters is the key step in the Taguchi method to achieve high quality without increasing cost. The optimal process parameters are selected not only to improve quality, but also to be least sensitive to the variation of environmental conditions. Basically, classical process parameter design is complex and not easy to use. Many experiments have to be carried out when the number of process parameters increases. To overcome this problem the Taguchi method uses a special design of orthogonal arrays to study the entire process parameter characteristics with a small number of experiments. A loss function is then defined to calculate the deviation between the experimental value and the desired value. Taguchi recommends use of the loss function to measure the performance characteristic deviating from the desired value. The value of the loss function is further transformed into a signal-to-noise (S/N) ratio. Usually, there are three categories of the performance characteristic in the analysis of the S/N ratio, that is, the lower-the-better, higher-the-better,andnominal-the-better. The S/N ratio for each level of process parameter is computed based on the S/N analysis. Regardless of the category of the performance characteristic, the larger S/N ratio corresponds to a better performance characteristic. Therefore, the optimal level of a process parameters is the level with the highest S/N ratio. This is true for the optimization of a single performance characteristic. However, optimization of multiple performance characteristics is different from that of a single performance characteristic. The higher S/N ratio for one performance characteristic may correspond to a lower S/N ratio for another. Therefore, the overall evaluation of the S/N ratio is required for the optimization of multiple performance characteristics. Orthogonal Array Experiment Selection of anappropriateorthogonal arrayforexperiments depends on these items in order of priority: The number of factors and interactions of interest. The number of levels for the factors of interest. The desired experimental accuracy or costlimitations.In the present study, a three factors Peak current, Pulse on time, Pulse off time are selected . The next step is to select an appropriate orthogonal array to fit the specific task. The degrees of freedom for the orthogonal array should be greater than or at least equal to those for the machining parameters. In this study, an L9 orthogonal array is used. This array has three columns and 9 rows and it can handle the three-level cutting parameters at most.Therefore,only9 experiments are needed to study the entire cutting factor space using the L9 orthogonal array.
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 517 Computational procedure: The experimental observations are furthertransformedinto a signal-to-noise (S/N) ratio. There are several S/N ratios available depending on the type of characteristics. The characteristic that higher value representsbettermachining performance, such as MRR, is called ‘higher is better, HB’. Inversely, the characteristic that lower value represents better machining performance, such as surfaceroughness,is called ‘lower is better, LB. Therefore, ”HB” for the MRR ’LB’’ for the SF and “LB” for the kerf were selected for obtaining optimum machining performance characteristics were selected for obtaining optimum machining performance characteristics. The loss function (L) for objective of HB and is defined as follows: LHB = (1/nΣⁿ|₌₀ 1/y²|) The S/N ratio can be calculated as a logarithmic transformation of the loss function as shown below S/N ratio for MRR = -10log1/n(Σⁿ|₌₀ 1/y²|) The loss function (L) for objective of LB and is defined as follows: LLB = (1/nΣⁿ|₌₀ y²|) The S/N ratio can be calculated as a logarithmic transformation of the loss function as shown below S/N ratio for SR = -10log1/n(Σⁿ|₌₀ y²|) Optimization of process parametersof WEDMonAA6063by using Taguchi technique Design of Experiments The taguchi method is very helpful to reduce the number of experiments by its robust design. This can bedonebydesign of experiments. The overall objective of the method is to produce high quality product at low cost to the manufacturer. Taguchi developed a method for designing experiments to investigate influence of process parameters on output performance measures.Optimizationof WEDM by using Taguchi technique consists of several steps. These are explained below. Selection of process parameters Table2: Machining parameters and their levels S. no Parameter Level 1 Level 2 Level 3 1 Peak current in Amps 10 11 12 2 Pulse on time in μsec 100 104 108 3 Pulseoff time in μsec 55 59 63 Selection of orthogonal array: Table 3:L9 Orthogonal Array Test case IP Ton Toff 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 Experimentation: Figure2: CNC WIRE CUT EDM machine Figure3: work pieces after machining RESULT AND DISCUSSION Table 4: Experimental Results S/N RATIOS OF MRR Table5: S/N ratios for MRR Sl. no S/N RATIO 1 11.2874 2 11.4855 3 13.2947 4 11.9561 5 15.5108 6 18.7754 7 12.3693 8 17.6562 9 19.71112
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD31047 | Volume – 4 | Issue – 4 | May-June 2020 Page 518 Table6: Average S/N ratios for MRR LEVEL I/P TON TOFF 1 12.02 2.255 3.11 2 15.41 5.03 2.47 3 1.91 5.34 5.80 Figure 4: Average S/N ratios of MRR V/S Levels Table7: Optimum process parameter values for MRR Table 8:S/N RATIOS OF SR LEVEL I/P TON TOFF 1 -5.622 -5.089 -7.527 2 -7.047 -7.135 -6.451 3 -7.988 -8.434 -6.679 Figure5: Average S/N ratios of SR v/s Levels Table9: Optimum process parameter values of SR CONCLUSION The results obtained explains that an attempt was made to determine the significant machining parameters for performance measures like MRR and SR separately of AA6063 by using WEDM process the factors like Peak current, Pulse on time and Pulse off time have been found to play a significant role for MRR and Surface roughness. Taguchi’s method is used to obtain optimum process parameters combination for maximization of MRR and minimization of SR. The confirmation experiments were conducted to evaluate the result predicted from Taguchi Optimization and the future scope of the work on AA6063is used in many manufacturing companies and machining industries now-a-days to manufacture tools for different types of machining because it has medium strength for a material. Therefore, the present work may give some guidelines for the researchers working in the electric discharge machining of AA 6063.This work describes the machining characteristics of AA 6063, as the performance measures get affected with the change in input variables. REFERENCES [1] S. S. Mahapatra et al., Optimization of Correlated Quality Characteristicsin WEDMProcessusingTaguchi Approach Coupled with Principal ComponentAnalysis, J. Manuf. Sci. Prod. Volume 13 & 2013 (de gruyter). [2] Saurabh Chhabra and Deepak Gupta, Optimization of electrical discharge machining of composite 900 WC- 10 Co base on Taguchi approach”` European journal of scientific research Vol. 64 No. 3 (2011), pp 426-436. [3] P. Bharathi and G. Srinivas Rao, Experimental investigation of WEDM variables on surfaceroughness of AISI H13, Manufacturing Science and Technology 2013; 1 [2]: 23-30. [4] Dipti Ranjan Patra et al. Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 6, (Part -4) June 2015, pp.57-62. [5] Vikram Singh and S. K. Pradhan,Optimizationof WEDM Parameters Using Taguchi Technique and Response Surface Methodology in Machining of AISI D2 Steel, Procedia Engineering, Volume 97, 2014, Pages 1597- 1608. [6] Atul kumar and Dr D. K. Singh. Optimization of machining parameters in WEDM of AISI D3 Steel using Taguchi Technique, Procedia CIRP 2014; 14: 194-199. [7] Kamal Jangra et al. Optimization of multi machining characteristics in WEDM of WC-5.3%Co composite using integrated approachof Taguchi,GRAandentropy method Frontiers of Mechanical EngineeringVolume7 & 2013 (springer link) [8] Jaganathan P, naveen Kumar T, Dr. R.Sivasubramanian “ Machiningparametersoptimizationof WEDMprocess using Taguchi method” International journal of scientific and research publication Vol. 2.