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The International Journal of Engineering and Science (IJES)
|| Volume || 6 || Issue || 6 || Pages || PP 64-68 || 2017 ||
ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805
DOI: 10.9790/1813-0606016468 www.theijes.com Page 64
Improving Material Removal Rate and Optimizing
Variousmachining Parameters in EDM
*Vivek Kumar ** Prakash Kumar
*Research Scholar, Mechanical Engineering Department
**Assistant Professor, Production Engg. Department B.I.T. Sindri, Dhanbad
--------------------------------------------------------ABSTRACT-----------------------------------------------------------
Electric discharge machining is used as machining of electrically conductive hard material. In EDM lots of
techniques are applied to improve material removal rate.In this project ‘optimization of machining parameter’
technique is used to improve the MRR in EDM process.There are large number of machining parameters
involves in machining the work piece by using EDM process. In this project work an experiment is performed to
investigate and optimize the effect of four machining parameters i,e, discharge current, pulse on time, pulse off
time,and voltage which is based on Taguchi Design Method.For performing this experiment copper tool
(electrode) is used with the ‘mild steel’ workpiece,and kerosene as dielctric fluid has been choosen.Experiment
is performed with L9 ORTHOGONAL ARRAY based on Taguchi design method. Signal-to-noise ratio is
calculated to investigate the effect of input parameters more accurately.For analysis and explanation,graph is
plotted between means of S/N ratio for mrr and four machining parameters ( current.Ton,TOFF, voltage) with the
help of MINITAB 17 software.The model have been validated with analysis of variance (ANOVA).I found that
discharge current has most significant factor,after that pulse on time,after that pulse off time and voltage has
least significant effect.
-------------------------------------------------------------------------------------------------------------------------
Date of Submission: 02 June 2017 Date of Accepted: 24 June 2017
--------------------------------------------------------------------------------------------------------------------------------------
I. INTRODUCTION
Electric discharge machining is a non traditional manufacturing process based on removing material from a part
by means of a series of repeated electrical discharge( created by electric pulse generators at short interval)
between a tool,calledelectrode,and the part being machined in the presence of a dielectric fluid.In other words
we can say in this procedure metal is removed from the work-piece due to erosion caused by rapidly formed
spark discharge taking place between tool and work piece.This process is used to produce dies,punches and
moulds,finishing parts for aerospace and automotive industry,and surgical components.
Figure of electric discharge machining process
Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm
DOI: 10.9790/1813-0606016468 www.theijes.com Page 65
II. LITERATURE REVIEW
There is discussed below some research paper related to EDM.The studies carried out in these papers are
mainly concerned with EDM parameter such as current,voltage,pulse on time,duty cycle etc and how these
affect the material removal rate.
(a) B.S.Reddy carried out a study on the effect of EDM parameters over metal removal rate,tool wear rate,
surface roughness and hardness.Mixed factorial design of experiments and multiple regression analysis
techniques had been employed to achieve the desired results.The parameters in the decreasing order of
importance for Mrr -duty cycle,current and voltage,Twr-current,servo duty cycle.
(b) M MRahman investigate the effect of peak current and pulse duration on performance characteristics of
EDM.The conclusion drawn were,the current and pulse on time greatly affected the Mrr,Twr and
SR.TheMrr increases almost linearly with increasing current for different pulse on time.
(c) Iqbal and khan concluded that the voltage and rotational speed of the electrode are the two significant
parameters for EDM milling.Optimizing the EWR.
(d) T.Rajmohan experimented using design of experiment technique under L9 Orthogonal array design and
considering the effect of machining parametrs of EDM such as pulse on time,pulse off time, current and
voltage on mrr in machining of AISI304 stainless steel.For optimization they had been used signal to noise
ratio and analysis of variance to analyze the effect of the parameters on mrr and also optimize the cutting
parameters.
III. PROBLEMSTATEMENT
In EDM,the selection of parameters play a main role in producing good surface quality,highMrr and less
electrode wear.This research aim is to investigate the proper selection of parameters in EDM for machining
hundred material and studies these selected different parameters which are able to deliver better results in terms
of material remoival rate and electrode wear of mild steel by copper electrode.Some machining parameters are
such as pulse on time,pulse off time,arcgap,dischargecurrent,dutycycle,voltage etc.The problem might be
interfere the result in this experiment when selection of parameters are not suitable and unproper to investigate
on these machining characteristics
IV. OBJECTIVE OF PRESENT WORK
The objective of this project work is to improve Mrr of mild steel work piece with copper tool by optimizing
four machining parameters pulse on time,pulse off time,current and discharge voltage.
V. SELECTION OF WORK PIECE
In this experiment mild steel size 80×60×15mm×mm×mm plate is chosen for conductive experiment.Mild steel
has use in manufacturing industries.It offered in an extensive veriety of good products,practices and qualities
than any other.It has excellent welding and forming characteristics, and it has very good corrosion resistance.
VI. SELECTION OF TOOL MATERIAL
In this experiment copper tool rod of 8 mm dia and 60mm length of cylindricalshape are taken.
FORMULA OF MATERIAL REMOVAL CALCULATION
MRR is calculated as proportion of change of weight of work piece before and after machining to the product of
machining period and density of material.
M.R.R.= (Wbm- Wam) ÷ ( t ×ῥ)
Where,
Wbm = weight of work piece before machining
Wam= weight of work piece after machining
t = machining period = 1 minute
ῥ = Density of mild steel work piece=8000kg/m3
Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm
DOI: 10.9790/1813-0606016468 www.theijes.com Page 66
VII. TAGUCHI DESIGNMETHOD
Dr. Genichi Taguchi of Nippon telephones & telegraph company,japan has developed a method based on
“ORTHOGONAL ARRAY” experiments which gives much reduced “variance” for the experiment with
optimum settings of control parameters.
Hence,design of experiments with optimization of control parameters to obtain best result is achieved in
Taguchi method.
Although various factors could be considered for controlling EDM process,but in the present project work,four
process parameters namely discharge current, pulse-on-time,pulse-off time and average voltage are considered.
In this project work taguchi method is used to find out the optimal machining parameters for maximization of
mrr in EDM process.
This method use the loss function to measure the performance parameters deviating from the desired value. The
value of loss function is further transformed into a signal-to-noise (S/N) ratio.
There are mainly 3 types of performance parameters in the analysis of the S/N ratio which is as follows:-
(a)Smaller-the-better
(b) Nominal-the-better
(c) Larger-the-better
The value of S/N ratio for each level of process parameters is computed based on S/N analysis. The
characteristics of higher value represents better machining performance.For example material removal rate is
termed as Larger-the-better.
Characteeristic of lower value represents better machining performance. For example surface roughness is
termed as lower-is –better.
Hence it is concluded that for material removal rate “larger-is –better” were selected for finding optimum
machining parameters.
VIII. MACHINING PARAMETERS AND THEIR LEVEL
SYMBOL MACHINING
PARAMETERS
UNIT LEVELS
LEVEL1 LEVEL2 LEVEL3
A PEAK CURRENT AMPERE 4 6 8
B PULSE ON TIME SECOND 40 80 120
C PULSE OFF TIME SECOND 30 40 50
D VOLTAGE VOLT 40 50 60
IX. TAGUCHI ORTHOGONAL ARRAY EXPERIMENT
MINITAB 17 Software is used for design of experiment in taguchi analysis.This software offers many possible
ways in which an experiment can be carried out. A number of ordinary orthogonal arrays have been created to
ease of experimental design.A number of ordinary orthogonal arrays have been created to ease of experimental
design.A number of orthogonal arrays,such as L4, L8, L9, L12, L18, L27 and so on created for two or three level
factors.In this project, an L9 orthogonal array with four column and nine rows has has been used.This array had
10 degree of freedom and it uses 3-level design machining parameters.Here nine experiments are required to
study the entire parameter space using L9 orthogonal array.In first column, peak current,second turn-on-time,3rd
turn off time and 4th
column voltage has indicated.
X. ANALYSIS OF SIGNAL TO NOISE (S/N) RATI0
Since,There Are 3 Types Of Performance Characteristics I,E Smaller-The-Better,The –Larger-The –
Better.To Find Out Optimal Machining Performance,Greater-The-Bettercharacteristics for material
removal rate has been taken for obtaining optimal machining performance.
The loss function (L) for objective of greater better is defined as follows:-
LG.B =1/n ∑i=1 to n 1/Yimrr
2
Yi→is experimentally observed value
Where Yimrr denotes response for material removal rate
n denotes number of experiments.
The S/N ratio response parameter can be calculated as a logarithmic of the loss function as shown below in
Taguchi L9 orthogonal array design.
S/N for MRR,
ή = -10 log10 1/n ∑i=1 to n 1/Yimrr
2
Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm
DOI: 10.9790/1813-0606016468 www.theijes.com Page 67
XI. EXPERIMENTAL DESIGN USING L9 ORTHOGONAL ARRAY FOR COPPER
ELECTRODES
EXP.NO. IP Ton Toff V wt.B.M. wt.A.M. MRR S/N ratio
1 4 40 30 40 120.230 120.045 1.963 5.858
2 4 80 40 50 120.045 119.755 3.078 9.765
3 4 120 50 60 119.755 119.513 2.569 8.195
4 6 40 50 50 119.513 119.141 3.949 11.929
5 6 80 30 60 119.141 118.680 4.893 13.791
6 6 120 40 40 118.680 118.262 4.437 12.941
7 8 40 40 60 118.262 117.671 6.273 15.949
8 8 80 50 40 117.671 116.951 7.643 17.665
9 8 120 30 50 116.951 116.282 7.101 17.026
EFFECT OF INPUT FACTORS ON MRR
With the help of MINITAB 17 software the plot between means of S/N ratio for mrr and discharge current has
been plotted.Also plot between means of S/N ratio for mrr and pulse-on-time, plot between means of S/N rario
for mrr and pulse-off-time,and plot between means of S/N ratio for mrr and voltage has been plotted as shown in
figure below:
If line for a particular parameter is near horizontal,then the parameters has no significant effect.And if a
parameter for which the line has the highest inclination will have the most significant effect.It is obvious from
the four plots below, the parameter discharge current(I) has the most significant effect.From figure 2 ,Turn-on-
time has moderate significant effect and TOFF has least significant effect. Hence we can concluded that
discharge current (I) is the most influencing parameter for the EDM process.According to taguchi design of
experiment Greater-the-better quality characteristics for MRR of copper electrode,the optimum condition for
each factor indicated is current8 amp,pulse on time80 second,pulse off time50 second,voltage40 volt.The
optimal process parameter combination for maximum metal removing rate is found to be discharge current at
highest level,pulse on time at second highest level,voltageat3rd
highest level & pulse off time at lowest
level.Mean S/N ratio for each level of parameters are called mean S/N response table for MRR. Here cutting
tool is made up of copper element,so the effect of machining parameter can be ranked as follows.
Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm
DOI: 10.9790/1813-0606016468 www.theijes.com Page 68
TABLE-2- s/n RATIO RESPONSE TABLE FOR MRR
LEVEL IP Ton Toff V
1 7.939 11.245 12.225 12.154
2 12.887 13.740 12.885 12.906
3 16.88 12.720 12.596 12.645
DELTA 8.941 3.515 0.949 1.013
RANK 1 2 4 3
With the help of responsetable ANOVA IS performed to find out which machining parameters significantly
affect the output characteristics. Table 3- shows ANOVA results for MRR for copper electrode.This table shows
% contribution of each parameter. For, MRR S/N ratio follows „Greater-is –better‟ criteria. From the table
below discharge current hasmaximum effect and Toff time has minimum effect and Ton has moderate effect on
mrr of EDM Process parameters.
XII. .ANOVA RESULT FOR MRR USING CU ELECTRODE (TABLE 3)
Sequence of variation DOF Squential sum
of squares
Mean
square(variance)M.S.=SF/DF
Contribution
IP 2 120.368 60.184 91.64%
Ton 2 9.441 4.7025 7.18%
Toff 2 0.656 0.328 o.49%
Voltage 2 o.874 o.437 o.66%
Residual error 2
Total 10 131.339
XIII. RESULT AND DISCUSSION
From the Anova result for MRR using cu electrode as shown in table-3 below.It is clear that discharge current with a
contribution of 91.64% has the greatest effect on performance characteristics (output characteristics).
Next parameter turn on time with a contribution of 7.18% has the next greatest effect on performance characteristics, after
that voltage whose contribution is 0.66% and the last parameter Toff time has contribution 0.49% has least effect on
performance characteristics.
XIV. CONCLUSION
In this investigation experiment on electric discharge machining to know the effect of machining outputs taken for
consideration is material removal rate of the mild steel work piece using copper electrode tool by taguchi design method and
improvement of mrr has been investigated.The experiment depends on various parameters for example discharge current,
pulse-on-time (Ton), pulse-off-time and voltage has been selected.This experiment is based on L9 orthogonal array by
taguchi design is conducted and minitab 17 software is used for this experiment.The main conclusion of this research are as
follows:-
(a) Material removal rate of electric discharge machining can be improved by using optimization of various factors
(discharge current,Ton,Toff,voltage) as determined within this work.
(b) Discharge current has most significant parameters for mrr.
(c) Voltage,& Ton time is moderately effect the material removal rate.
(d) Toff has the least significant influence on MRR.
(e) The optimal process parameters that have been seen aboveobservationtable,the best contribution of process variables
are current 8 ampere,Ton 80 second,voltage 40 volt.,Toff 50 second , for copper electrode
REFERENCES
[1] Sameh S. Habib (april 2014), Mechanical engg. Department,shoubra faculty of engineering,Benha university, cairo,Egypt done
research on parameter optimization of EDM process by using taguchi approach.
[2] Dewangams.k. , Experimental investigation of machining parameters for EDM using U-shaped electrode of AISI P20 tool steel, m-
tech thesis (2010).
[3] Reddy sidda B. RAO PS, kumar JS and Reddy KVK, parametric study of electric discharge machining of AISI 304 stainless
steel,IJEST.
[4] R.Soneys,F. Staelens, and W.Dekeyser, “Current trends in non conventional material removal process,” Ann. CIRP, vol.35(2 ),
p.467-480,1986.
[5] S.H. Tomadi, M.A. Hassan,2009,”Analysis of influence of EDM parameters on surface Quality,Material removal rate and Electrode
wear of Tungsten carbide”, proceeding of the International Multi Confrence of Engineers and computer scientist vol.-2,march, 18-
20
[6] Kuldeepojha,R.K. Garg, K.K. Singh 2010, “MRR Improvement in sinking EDM : A Review”,Journal of minerals and materials
characterization and Engineering,vol.-9,no-8,pp.-709-739.
[7] Iqbal AKM. A. &Khan A.A.,Optimization of process parameters on EDM milling of stainless steel AISI 304,Advanced Materials
Research,264-265 (2011):p.p-979-984.
[8] VenkataRao.R,Advanced modeling and Optimization of manufacturing process,springer.2011.
[9] Kumar S, Singh R,Singh T.P. &Sethi B.L., Surface modification by EDM:A review,Journal of materials processing technology 209
( 8 (2009 ) p.p-3675-3687.
[10] Dhanabalan.S,SivakumarK,”Optimization of EDM parameters with multiple performance characteristics for Titanium grades”.
European Journal of scientific Research, vol 68,pp 297-305,2011.

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Improving Material Removal Rate and Optimizing Variousmachining Parameters in EDM

  • 1. The International Journal of Engineering and Science (IJES) || Volume || 6 || Issue || 6 || Pages || PP 64-68 || 2017 || ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805 DOI: 10.9790/1813-0606016468 www.theijes.com Page 64 Improving Material Removal Rate and Optimizing Variousmachining Parameters in EDM *Vivek Kumar ** Prakash Kumar *Research Scholar, Mechanical Engineering Department **Assistant Professor, Production Engg. Department B.I.T. Sindri, Dhanbad --------------------------------------------------------ABSTRACT----------------------------------------------------------- Electric discharge machining is used as machining of electrically conductive hard material. In EDM lots of techniques are applied to improve material removal rate.In this project ‘optimization of machining parameter’ technique is used to improve the MRR in EDM process.There are large number of machining parameters involves in machining the work piece by using EDM process. In this project work an experiment is performed to investigate and optimize the effect of four machining parameters i,e, discharge current, pulse on time, pulse off time,and voltage which is based on Taguchi Design Method.For performing this experiment copper tool (electrode) is used with the ‘mild steel’ workpiece,and kerosene as dielctric fluid has been choosen.Experiment is performed with L9 ORTHOGONAL ARRAY based on Taguchi design method. Signal-to-noise ratio is calculated to investigate the effect of input parameters more accurately.For analysis and explanation,graph is plotted between means of S/N ratio for mrr and four machining parameters ( current.Ton,TOFF, voltage) with the help of MINITAB 17 software.The model have been validated with analysis of variance (ANOVA).I found that discharge current has most significant factor,after that pulse on time,after that pulse off time and voltage has least significant effect. ------------------------------------------------------------------------------------------------------------------------- Date of Submission: 02 June 2017 Date of Accepted: 24 June 2017 -------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION Electric discharge machining is a non traditional manufacturing process based on removing material from a part by means of a series of repeated electrical discharge( created by electric pulse generators at short interval) between a tool,calledelectrode,and the part being machined in the presence of a dielectric fluid.In other words we can say in this procedure metal is removed from the work-piece due to erosion caused by rapidly formed spark discharge taking place between tool and work piece.This process is used to produce dies,punches and moulds,finishing parts for aerospace and automotive industry,and surgical components. Figure of electric discharge machining process
  • 2. Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm DOI: 10.9790/1813-0606016468 www.theijes.com Page 65 II. LITERATURE REVIEW There is discussed below some research paper related to EDM.The studies carried out in these papers are mainly concerned with EDM parameter such as current,voltage,pulse on time,duty cycle etc and how these affect the material removal rate. (a) B.S.Reddy carried out a study on the effect of EDM parameters over metal removal rate,tool wear rate, surface roughness and hardness.Mixed factorial design of experiments and multiple regression analysis techniques had been employed to achieve the desired results.The parameters in the decreasing order of importance for Mrr -duty cycle,current and voltage,Twr-current,servo duty cycle. (b) M MRahman investigate the effect of peak current and pulse duration on performance characteristics of EDM.The conclusion drawn were,the current and pulse on time greatly affected the Mrr,Twr and SR.TheMrr increases almost linearly with increasing current for different pulse on time. (c) Iqbal and khan concluded that the voltage and rotational speed of the electrode are the two significant parameters for EDM milling.Optimizing the EWR. (d) T.Rajmohan experimented using design of experiment technique under L9 Orthogonal array design and considering the effect of machining parametrs of EDM such as pulse on time,pulse off time, current and voltage on mrr in machining of AISI304 stainless steel.For optimization they had been used signal to noise ratio and analysis of variance to analyze the effect of the parameters on mrr and also optimize the cutting parameters. III. PROBLEMSTATEMENT In EDM,the selection of parameters play a main role in producing good surface quality,highMrr and less electrode wear.This research aim is to investigate the proper selection of parameters in EDM for machining hundred material and studies these selected different parameters which are able to deliver better results in terms of material remoival rate and electrode wear of mild steel by copper electrode.Some machining parameters are such as pulse on time,pulse off time,arcgap,dischargecurrent,dutycycle,voltage etc.The problem might be interfere the result in this experiment when selection of parameters are not suitable and unproper to investigate on these machining characteristics IV. OBJECTIVE OF PRESENT WORK The objective of this project work is to improve Mrr of mild steel work piece with copper tool by optimizing four machining parameters pulse on time,pulse off time,current and discharge voltage. V. SELECTION OF WORK PIECE In this experiment mild steel size 80×60×15mm×mm×mm plate is chosen for conductive experiment.Mild steel has use in manufacturing industries.It offered in an extensive veriety of good products,practices and qualities than any other.It has excellent welding and forming characteristics, and it has very good corrosion resistance. VI. SELECTION OF TOOL MATERIAL In this experiment copper tool rod of 8 mm dia and 60mm length of cylindricalshape are taken. FORMULA OF MATERIAL REMOVAL CALCULATION MRR is calculated as proportion of change of weight of work piece before and after machining to the product of machining period and density of material. M.R.R.= (Wbm- Wam) ÷ ( t ×ῥ) Where, Wbm = weight of work piece before machining Wam= weight of work piece after machining t = machining period = 1 minute ῥ = Density of mild steel work piece=8000kg/m3
  • 3. Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm DOI: 10.9790/1813-0606016468 www.theijes.com Page 66 VII. TAGUCHI DESIGNMETHOD Dr. Genichi Taguchi of Nippon telephones & telegraph company,japan has developed a method based on “ORTHOGONAL ARRAY” experiments which gives much reduced “variance” for the experiment with optimum settings of control parameters. Hence,design of experiments with optimization of control parameters to obtain best result is achieved in Taguchi method. Although various factors could be considered for controlling EDM process,but in the present project work,four process parameters namely discharge current, pulse-on-time,pulse-off time and average voltage are considered. In this project work taguchi method is used to find out the optimal machining parameters for maximization of mrr in EDM process. This method use the loss function to measure the performance parameters deviating from the desired value. The value of loss function is further transformed into a signal-to-noise (S/N) ratio. There are mainly 3 types of performance parameters in the analysis of the S/N ratio which is as follows:- (a)Smaller-the-better (b) Nominal-the-better (c) Larger-the-better The value of S/N ratio for each level of process parameters is computed based on S/N analysis. The characteristics of higher value represents better machining performance.For example material removal rate is termed as Larger-the-better. Characteeristic of lower value represents better machining performance. For example surface roughness is termed as lower-is –better. Hence it is concluded that for material removal rate “larger-is –better” were selected for finding optimum machining parameters. VIII. MACHINING PARAMETERS AND THEIR LEVEL SYMBOL MACHINING PARAMETERS UNIT LEVELS LEVEL1 LEVEL2 LEVEL3 A PEAK CURRENT AMPERE 4 6 8 B PULSE ON TIME SECOND 40 80 120 C PULSE OFF TIME SECOND 30 40 50 D VOLTAGE VOLT 40 50 60 IX. TAGUCHI ORTHOGONAL ARRAY EXPERIMENT MINITAB 17 Software is used for design of experiment in taguchi analysis.This software offers many possible ways in which an experiment can be carried out. A number of ordinary orthogonal arrays have been created to ease of experimental design.A number of ordinary orthogonal arrays have been created to ease of experimental design.A number of orthogonal arrays,such as L4, L8, L9, L12, L18, L27 and so on created for two or three level factors.In this project, an L9 orthogonal array with four column and nine rows has has been used.This array had 10 degree of freedom and it uses 3-level design machining parameters.Here nine experiments are required to study the entire parameter space using L9 orthogonal array.In first column, peak current,second turn-on-time,3rd turn off time and 4th column voltage has indicated. X. ANALYSIS OF SIGNAL TO NOISE (S/N) RATI0 Since,There Are 3 Types Of Performance Characteristics I,E Smaller-The-Better,The –Larger-The – Better.To Find Out Optimal Machining Performance,Greater-The-Bettercharacteristics for material removal rate has been taken for obtaining optimal machining performance. The loss function (L) for objective of greater better is defined as follows:- LG.B =1/n ∑i=1 to n 1/Yimrr 2 Yi→is experimentally observed value Where Yimrr denotes response for material removal rate n denotes number of experiments. The S/N ratio response parameter can be calculated as a logarithmic of the loss function as shown below in Taguchi L9 orthogonal array design. S/N for MRR, ή = -10 log10 1/n ∑i=1 to n 1/Yimrr 2
  • 4. Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm DOI: 10.9790/1813-0606016468 www.theijes.com Page 67 XI. EXPERIMENTAL DESIGN USING L9 ORTHOGONAL ARRAY FOR COPPER ELECTRODES EXP.NO. IP Ton Toff V wt.B.M. wt.A.M. MRR S/N ratio 1 4 40 30 40 120.230 120.045 1.963 5.858 2 4 80 40 50 120.045 119.755 3.078 9.765 3 4 120 50 60 119.755 119.513 2.569 8.195 4 6 40 50 50 119.513 119.141 3.949 11.929 5 6 80 30 60 119.141 118.680 4.893 13.791 6 6 120 40 40 118.680 118.262 4.437 12.941 7 8 40 40 60 118.262 117.671 6.273 15.949 8 8 80 50 40 117.671 116.951 7.643 17.665 9 8 120 30 50 116.951 116.282 7.101 17.026 EFFECT OF INPUT FACTORS ON MRR With the help of MINITAB 17 software the plot between means of S/N ratio for mrr and discharge current has been plotted.Also plot between means of S/N ratio for mrr and pulse-on-time, plot between means of S/N rario for mrr and pulse-off-time,and plot between means of S/N ratio for mrr and voltage has been plotted as shown in figure below: If line for a particular parameter is near horizontal,then the parameters has no significant effect.And if a parameter for which the line has the highest inclination will have the most significant effect.It is obvious from the four plots below, the parameter discharge current(I) has the most significant effect.From figure 2 ,Turn-on- time has moderate significant effect and TOFF has least significant effect. Hence we can concluded that discharge current (I) is the most influencing parameter for the EDM process.According to taguchi design of experiment Greater-the-better quality characteristics for MRR of copper electrode,the optimum condition for each factor indicated is current8 amp,pulse on time80 second,pulse off time50 second,voltage40 volt.The optimal process parameter combination for maximum metal removing rate is found to be discharge current at highest level,pulse on time at second highest level,voltageat3rd highest level & pulse off time at lowest level.Mean S/N ratio for each level of parameters are called mean S/N response table for MRR. Here cutting tool is made up of copper element,so the effect of machining parameter can be ranked as follows.
  • 5. Improving Material Removal Rate And Optimizing Variousmachining Parameters In Edm DOI: 10.9790/1813-0606016468 www.theijes.com Page 68 TABLE-2- s/n RATIO RESPONSE TABLE FOR MRR LEVEL IP Ton Toff V 1 7.939 11.245 12.225 12.154 2 12.887 13.740 12.885 12.906 3 16.88 12.720 12.596 12.645 DELTA 8.941 3.515 0.949 1.013 RANK 1 2 4 3 With the help of responsetable ANOVA IS performed to find out which machining parameters significantly affect the output characteristics. Table 3- shows ANOVA results for MRR for copper electrode.This table shows % contribution of each parameter. For, MRR S/N ratio follows „Greater-is –better‟ criteria. From the table below discharge current hasmaximum effect and Toff time has minimum effect and Ton has moderate effect on mrr of EDM Process parameters. XII. .ANOVA RESULT FOR MRR USING CU ELECTRODE (TABLE 3) Sequence of variation DOF Squential sum of squares Mean square(variance)M.S.=SF/DF Contribution IP 2 120.368 60.184 91.64% Ton 2 9.441 4.7025 7.18% Toff 2 0.656 0.328 o.49% Voltage 2 o.874 o.437 o.66% Residual error 2 Total 10 131.339 XIII. RESULT AND DISCUSSION From the Anova result for MRR using cu electrode as shown in table-3 below.It is clear that discharge current with a contribution of 91.64% has the greatest effect on performance characteristics (output characteristics). Next parameter turn on time with a contribution of 7.18% has the next greatest effect on performance characteristics, after that voltage whose contribution is 0.66% and the last parameter Toff time has contribution 0.49% has least effect on performance characteristics. XIV. CONCLUSION In this investigation experiment on electric discharge machining to know the effect of machining outputs taken for consideration is material removal rate of the mild steel work piece using copper electrode tool by taguchi design method and improvement of mrr has been investigated.The experiment depends on various parameters for example discharge current, pulse-on-time (Ton), pulse-off-time and voltage has been selected.This experiment is based on L9 orthogonal array by taguchi design is conducted and minitab 17 software is used for this experiment.The main conclusion of this research are as follows:- (a) Material removal rate of electric discharge machining can be improved by using optimization of various factors (discharge current,Ton,Toff,voltage) as determined within this work. (b) Discharge current has most significant parameters for mrr. (c) Voltage,& Ton time is moderately effect the material removal rate. (d) Toff has the least significant influence on MRR. (e) The optimal process parameters that have been seen aboveobservationtable,the best contribution of process variables are current 8 ampere,Ton 80 second,voltage 40 volt.,Toff 50 second , for copper electrode REFERENCES [1] Sameh S. Habib (april 2014), Mechanical engg. Department,shoubra faculty of engineering,Benha university, cairo,Egypt done research on parameter optimization of EDM process by using taguchi approach. [2] Dewangams.k. , Experimental investigation of machining parameters for EDM using U-shaped electrode of AISI P20 tool steel, m- tech thesis (2010). [3] Reddy sidda B. RAO PS, kumar JS and Reddy KVK, parametric study of electric discharge machining of AISI 304 stainless steel,IJEST. [4] R.Soneys,F. Staelens, and W.Dekeyser, “Current trends in non conventional material removal process,” Ann. CIRP, vol.35(2 ), p.467-480,1986. [5] S.H. Tomadi, M.A. Hassan,2009,”Analysis of influence of EDM parameters on surface Quality,Material removal rate and Electrode wear of Tungsten carbide”, proceeding of the International Multi Confrence of Engineers and computer scientist vol.-2,march, 18- 20 [6] Kuldeepojha,R.K. Garg, K.K. Singh 2010, “MRR Improvement in sinking EDM : A Review”,Journal of minerals and materials characterization and Engineering,vol.-9,no-8,pp.-709-739. [7] Iqbal AKM. A. &Khan A.A.,Optimization of process parameters on EDM milling of stainless steel AISI 304,Advanced Materials Research,264-265 (2011):p.p-979-984. [8] VenkataRao.R,Advanced modeling and Optimization of manufacturing process,springer.2011. [9] Kumar S, Singh R,Singh T.P. &Sethi B.L., Surface modification by EDM:A review,Journal of materials processing technology 209 ( 8 (2009 ) p.p-3675-3687. [10] Dhanabalan.S,SivakumarK,”Optimization of EDM parameters with multiple performance characteristics for Titanium grades”. European Journal of scientific Research, vol 68,pp 297-305,2011.