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INTERNATIONALMechanical Engineering and Technology (IJMET), ISSN 0976 –
 International Journal of JOURNAL OF MECHANICAL ENGINEERING
 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME
                          AND TECHNOLOGY (IJMET)
ISSN 0976 – 6340 (Print)
ISSN 0976 – 6359 (Online)
Volume 4, Issue 1, January- February (2013), pp. 203-208                       IJMET
© IAEME: www.iaeme.com/ijmet.asp
Journal Impact Factor (2012): 3.8071 (Calculated by GISI)
www.jifactor.com                                                           ©IAEME


     PROCESS PARAMETERS OPTIMIZATION FOR SURFACE
  ROUGHNESS IN EDM FOR AISI D2 STEEL BY RESPONSE SURFACE
                     METHODOLOGY

                                   1                   2                   3
                         P.B.Wagh , R.R.Deshmukh , S.D.Deshmukh
                     1
                      (Sr, Lect. COE Osmanabad, prajotwagh71@gmail.com)
                                    2
                                     (Prof. J.N.E.C Aurangabad)
                                  3
                                   (Principal J.N.E.C Aurangabad)


  ABSTRACT

          In this investigation, response surface methodology (RSM) is used to investigate the
  effect of four controllable input variables namely: discharge current, pulse duration, pulse off
  time and gape voltage on material removal rate (MRR). A face centred central composite
  design matrix is used to conduct the experiments on AISI D2 with copper electrode. The
  response is modelled using RSM on experimental data. The significant coefficients are
  obtained by performing analysis of variance (ANOVA) at 95% confidence level. It is found
  that discharge current and pulse duration are significant factors. RSM is a precision
  methodology that needs only 31 experiments to assess the conditions.

  Keywords: Electrical discharge machining; EDM; Material removal rate; RSM; etc

  1. INTRODUCTION

          Electrical Discharge Machining (EDM) is an unconventional manufacturing process
  based on removal of material from a part by means of a series of repeated electrical sparks
  created by electric pulse generators at short intervals between an electrode tool and the part to
  be machined immersed in dielectric fluid. At present, EDM is a widespread technique used in
  industry for high precision machining of all types of conductive materials such as metallic
  alloys, metals, graphite, composite materials or some ceramic materials. The selection of
  optimized manufacturing conditions is one of the most important aspects to consider in the
  die sinking electrical discharge machining (EDM) of conductive steel, as these conditions are
                                                203
International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 –
6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME

the ones that are to determine such important characteristics: surface roughness, electrodes wear
(EW) and material removal rate (MRR). In this paper, a study will be perform on the influence of
the factors of peak current, pulse on time, interval time and power supply voltage.

2. EXPERIMENTAL WORK

2.1 Experimental Setup




                                   Figure 1. EDM machine

For this experiment the whole work is done by using Electric Discharge Machine, model
ELECTRONICA- ELECTRAPULS PS 50ZNC (die-sinking type), having provision of
programming in the Z-vertical axis and manually operated X and Y axes. The tool is made of
cathode and the work piece as anode. Commercial grade EDM oil (specific gravity= 0.763 kg/
m3), freezing point= 94°C) was used as dielectric fluid with lateral flushing (pressure of 0.3
kgf/cm2) system for effective flushing of machining debris from working gap region.

2.2 selection of work piece
        The material AISI D2 (American Iron Steel Institute D2) is high carbon high chromium
non shrinking water hardening die steel material. The selected material is of 20mm diameter and
250mm long. It is cut into pieces of size 20mm diameter and 5mm length for experimentation.

2.2.1Composition of AISI D2 material

                           Element       Composition weight (%)
                              C                    1.5
                             Mn                    0.3
                              Si                   0.3
                              Cr                   12
                              Ni                   0.3
                             CO                   1.00
                              V                    0.8
                              Fe              Remaining

                           Table 1Composition of AISI D2 material

2.3 selection of tool electrode
        A cylindrical shaped pure copper of diameter 12mm is used for machining of AISI D2
material.
                                              204
International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 –
6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME

2.4 selections of process parameters
    factor/level (coding)       -2        -1             0            1                2
     Discharge current           2         6             10          14               18
       Spark on time            20        40             60          80               100
       Spark off time            2         4             6            8               10
         Spark gap             0.05     0.0875         0.125       0.1625             0.2
                              Table 2 levels of process parameters
3. EXPERIMENTAL RESULTS FOR MATERIAL REMOVAL RATE FOR MATERIAL
  AISI D2

  Run      Ip   Ton    Toff      S.G     Wjb           Wja    Machini     density
          (A)   (µs)   (µs)     (mm)     (gm)          (gm)   ng time   (gm/mm3)
                                                               (sec)
                                                                                    (mm3/mim)
    1     14     80     8       0.0875    16.9     16.33         5       0.0077       14.8050
    2     18     60     6        0.125   14.34     13.56         5       0.0077       20.2727
    3     14     40     8       0.0875   15.83     15.18         5       0.0077       17.0120
    4     14     80     4       0.1625   15.56     14.85         5       0.0077       18.4420
    5     10     60     6        0.125   16.61     16.10         5       0.0077       13.1820
    6      6     80     8       0.1625    13.9     13.62         5       0.0077        7.3760
    7     10     60     6        0.125   16.63     16.21         5       0.0077       11.0380
    8      6     40     4       0.1625   19.45     19.08         5       0.0077        9.5840
    9     10     60     6        0.125   18.94     18.46         5       0.0077       12.3376
   10      6     80     4       0.1625   15.07     14.83         5       0.0077        6.1168
   11     10     60     6         0.05   17.25     16.75         5       0.0077       12.9610
   12     10     20     6        0.125   16.30     15.71         5       0.0077       15.3120
   13     14     40     8       0.1625   15.12     14.45         5       0.0077       17.4280
   14     10     60     6        0.125   17.18     16.70         5       0.0077       12.4670
   15     10     60     6        0.125   14.81     14.31         5       0.0077       13.1030
   16      6     80     8       0.0875   15.73     15.57         5       0.0077        4.1558
   17      6     80     4       0.0875   15.27     15.02         5       0.0077        6.5974
   18     10     60     6        0.125   15.44     15.02         5       0.0077       11.0380
   19      6     40     4       0.0875   15.49     15.25         5       0.0077        6.3640
   20     10    100     6        0.125   15.36     15.00         5       0.0077        9.3506
   21     14     40     4       0.0875   15.77     15.12         5       0.0077       17.0120
   22     10     60     6          0.2   17.33     16.92         5       0.0077       10.6490
   23     14     80     4       0.0875   20.34     19.72         5       0.0077       15.9740
   24     10     60     6        0.125   14.35     13.91         5       0.0077       11.4280
   25      6     40     8       0.1625   14.56     14.31         5       0.0077        6.4200
   26     14     80     8       0.1625   16.55     15.93         5       0.0077       16.2200
   27      6     40     8       0.0875   16.06     15.86         5       0.0077        5.1940
   28     10     60    10        0.125   17.35     16.86         5       0.0077       12.7660
   29     14     40     4       0.1625   14.20     13.56         5       0.0077       16.4940
   30      2     60     6        0.125   17.61     17.52         5       0.0077        2.2597
   31     10     60     2        0.125   15.52     15.02         5       0.0077       13.1298


                                                 205
International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 –
6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME

      Table 3 Experimental results for Material removal rate for Material AISI D2
                                    M a in E ffe c t s P lo t ( d a t a m e a n s ) fo r M R R
                                         Ip                                                      T on
                   20
                   15

                   10
                    5
     Mean of MRR




                    0
                        2       6       10         14         18         20          40          60          80        100
                                       T off                                                     SG
                   20
                   15
                   10
                    5
                    0
                        2       4        6          8         10      0 .0 5 0 0   0 .0 87 5   0 .1 2 5 0   0.1625   0 .2 00 0

                              Graph 1 Effect of machining parameters on MRR

4 RESPONSE OPTIMIZATION

                   Response                 Goal                              Lower                            Target
                    MRR                   Maximum                               0                              20.277


    Optimal                              Ip                   Ton                        Toff                    SG
                        Hi             18.0                  100.0                      10.0                     0.20
       D                Cur           [18.0]                 [20.0]                     [2.0]                  [0.050]
    1.0000              Lo              2.0                   20.0                       2.0                    0.050

        MRR
      Maximum
     y = 23.2978
     d = 1.0000




                                              Graph 2 D- Optimality plot

From this graph we can predict the optimum values of process parameters

               Process parameters               units                              Optimum values
              Discharge current (Ip)             A                                       18
               Spark on time (Ton)               µs                                      20
              Spark off time (Toff)              µs                                      2
                 Spark gap (SG)                 mm                                      0.05
                               Table 4 optimum values of process parameters

                                                              206
International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 –
6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME

Confirmation test and their comparison with results

      Trial            Optimum                      Ra (µm)                       Error
      No.             conditions          Experimental Predicted                   (%)
        01    Ip=18 A, Ton =20 µs, Toff = 22.783        23.2978                 2.20
              2 µs, SG = 0.05mm
        02    Ip=18 A, Ton =20 µs, Toff = 22.970        23.2978                 1.40
              2 µs, SG = 0.05mm
               Table 5 Confirmation test and their comparison with results


5. CONCLUSION

         The choice of the electrical parameters of the EDM process depends largely on the
material combination of the electrode and the work piece and the EDM manufactures only
supply these parameters for a limited amount of material combinations.
The industrialist can directly use the optimum values so that the material removal rate will be
maximum.
MINITAB software was used for DOE and analysis of the experimental result and the
response was validated experimentally.


6. REFERENCES

[1] Manish Vishwakarma, v.K.Khare, vishal Parashar, Response surface approach for
optimization of Sinker Electric Discharge Machine process parameters on AISI 4140 alloy
steel; International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-
9622 www.ijera.com, Vol. 2, Issue 4, July-August 2012, pp.185-189.
[2] Md. Ashikur Rahman Khan, M.M. Rahman1, K. Kadirgama1, M.A. Maleque and M.
Ishak, Prediction of Surface Roughness of Ti-6al-4v In Electrical Discharge Machining: A
Regression Model, Journal of Mechanical Engineering and Sciences (JMES) e-ISSN: 2231-
8380; Volume 1, pp. 16-24, December 2011.
[3] M.K. Pradhan and C.K. Biswas, Effect of process parameters on surface roughness in
EDM of tool steel by response surface methodology; Int. J. Precision Technology, Vol. 2, No.
1, 2011
[4] Mohan Kumar Pradhan and Chandan Kumar Biswas, Modelling of machining parameters
for MRR in EDM using response surface methodology, Proceedings of NCMSTA’08
Conference National Conference on Mechanism Science and Technology: from Theory to
Application November 13-14, 2008 National Institute of Technology, Hamirpur
[5] B. C. Routara, P. Sahoo, A. Bandyopadhyay, Application Of Response Surface Method
For Modelling Of Statistical Roughness Parameters On Electric Discharge Machining.
[6] Rodge M.K, Sarpate S.S and Sharma S.B, “Investigation On Process Response And
Parameters In Wire Electrical Discharge Machining Of Inconel 625” International Journal of
Mechanical Engineering & Technology (IJMET), Volume 4, Issue 1, 2013, pp. 54 - 65,
Published by IAEME.


                                             207
International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 –
6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME

[7] Mane S.G. and Hargude N.V., “An Overview Of Experimental Investigation Of Near Dry
Electrical Discharge Machining Process” International Journal Of Advanced Research In
Engineering & Technology (IJARET), Volume 3, Issue 2, 2012, pp. 22 - 36, Published by
IAEME.
[8] M Manohar, Jomy Joseph, T Selvaraj and D Sivakumar, “Development Of Models Using
Genetic Programming For Turning Inconel 718 With Coated Carbide Tools”, International
Journal of Design and Manufacturing Technology (IJDMT), Volume 4, Issue 1, 2013,
pp. 1 - 13, Published by IAEME.
[9] Kirankumar Ramakantrao Jagtap, S.B.Ubale and Dr.M.S.Kadam, “Optimization Of
Cylindrical Grinding Process Parameters For AISI 5120 Steel Using Taguchi Method”,
International Journal of Design and Manufacturing Technology (IJDMT), Volume 2, Issue 1,
2011, pp. 47 - 56, Published by IAEME.
[10] K. Leo Dev Wins and A. S. Varadarajan., “Optimization Of Surface Finish During
Milling Of Hardened AISI4340 Steel With Minimal Pulsed Jet Of Fluid Application Using
Response Surface Methodology” International Journal Of Advanced Research In Engineering
& Technology (IJARET), Volume 2, Issue 1, 2011, pp. 12 - 28, Published by IAEME.
[11] Kirankumar Ramakantrao Jagtap, S.B.Ubale and Dr.M.S.Kadam, “Optimization Of
Cylindrical Grinding Process Parameters For AISI 1040 Steel Using Taguchi Method”
International Journal of Mechanical Engineering & Technology (IJMET), Volume 3, Issue 1,
2012, pp. 226 - 234, Published by IAEME.
[12] Brij Bhushan Tyagi, Mohd.Parvez, Rupesh Chalisgaonkar and Nitin Sharma,
“Optimization of Process Parameters of Wire Electrical Discharge Machining of AISI 316L”
International Journal of Mechanical Engineering & Technology (IJMET), Volume 3, Issue 2,
2012, pp. 317 - 327, Published by IAEME.




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Process parameters optimization for surface roughness in edm for aisi d2 steel

  • 1. INTERNATIONALMechanical Engineering and Technology (IJMET), ISSN 0976 – International Journal of JOURNAL OF MECHANICAL ENGINEERING 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME AND TECHNOLOGY (IJMET) ISSN 0976 – 6340 (Print) ISSN 0976 – 6359 (Online) Volume 4, Issue 1, January- February (2013), pp. 203-208 IJMET © IAEME: www.iaeme.com/ijmet.asp Journal Impact Factor (2012): 3.8071 (Calculated by GISI) www.jifactor.com ©IAEME PROCESS PARAMETERS OPTIMIZATION FOR SURFACE ROUGHNESS IN EDM FOR AISI D2 STEEL BY RESPONSE SURFACE METHODOLOGY 1 2 3 P.B.Wagh , R.R.Deshmukh , S.D.Deshmukh 1 (Sr, Lect. COE Osmanabad, prajotwagh71@gmail.com) 2 (Prof. J.N.E.C Aurangabad) 3 (Principal J.N.E.C Aurangabad) ABSTRACT In this investigation, response surface methodology (RSM) is used to investigate the effect of four controllable input variables namely: discharge current, pulse duration, pulse off time and gape voltage on material removal rate (MRR). A face centred central composite design matrix is used to conduct the experiments on AISI D2 with copper electrode. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing analysis of variance (ANOVA) at 95% confidence level. It is found that discharge current and pulse duration are significant factors. RSM is a precision methodology that needs only 31 experiments to assess the conditions. Keywords: Electrical discharge machining; EDM; Material removal rate; RSM; etc 1. INTRODUCTION Electrical Discharge Machining (EDM) is an unconventional manufacturing process based on removal of material from a part by means of a series of repeated electrical sparks created by electric pulse generators at short intervals between an electrode tool and the part to be machined immersed in dielectric fluid. At present, EDM is a widespread technique used in industry for high precision machining of all types of conductive materials such as metallic alloys, metals, graphite, composite materials or some ceramic materials. The selection of optimized manufacturing conditions is one of the most important aspects to consider in the die sinking electrical discharge machining (EDM) of conductive steel, as these conditions are 203
  • 2. International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME the ones that are to determine such important characteristics: surface roughness, electrodes wear (EW) and material removal rate (MRR). In this paper, a study will be perform on the influence of the factors of peak current, pulse on time, interval time and power supply voltage. 2. EXPERIMENTAL WORK 2.1 Experimental Setup Figure 1. EDM machine For this experiment the whole work is done by using Electric Discharge Machine, model ELECTRONICA- ELECTRAPULS PS 50ZNC (die-sinking type), having provision of programming in the Z-vertical axis and manually operated X and Y axes. The tool is made of cathode and the work piece as anode. Commercial grade EDM oil (specific gravity= 0.763 kg/ m3), freezing point= 94°C) was used as dielectric fluid with lateral flushing (pressure of 0.3 kgf/cm2) system for effective flushing of machining debris from working gap region. 2.2 selection of work piece The material AISI D2 (American Iron Steel Institute D2) is high carbon high chromium non shrinking water hardening die steel material. The selected material is of 20mm diameter and 250mm long. It is cut into pieces of size 20mm diameter and 5mm length for experimentation. 2.2.1Composition of AISI D2 material Element Composition weight (%) C 1.5 Mn 0.3 Si 0.3 Cr 12 Ni 0.3 CO 1.00 V 0.8 Fe Remaining Table 1Composition of AISI D2 material 2.3 selection of tool electrode A cylindrical shaped pure copper of diameter 12mm is used for machining of AISI D2 material. 204
  • 3. International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME 2.4 selections of process parameters factor/level (coding) -2 -1 0 1 2 Discharge current 2 6 10 14 18 Spark on time 20 40 60 80 100 Spark off time 2 4 6 8 10 Spark gap 0.05 0.0875 0.125 0.1625 0.2 Table 2 levels of process parameters 3. EXPERIMENTAL RESULTS FOR MATERIAL REMOVAL RATE FOR MATERIAL AISI D2 Run Ip Ton Toff S.G Wjb Wja Machini density (A) (µs) (µs) (mm) (gm) (gm) ng time (gm/mm3) (sec) (mm3/mim) 1 14 80 8 0.0875 16.9 16.33 5 0.0077 14.8050 2 18 60 6 0.125 14.34 13.56 5 0.0077 20.2727 3 14 40 8 0.0875 15.83 15.18 5 0.0077 17.0120 4 14 80 4 0.1625 15.56 14.85 5 0.0077 18.4420 5 10 60 6 0.125 16.61 16.10 5 0.0077 13.1820 6 6 80 8 0.1625 13.9 13.62 5 0.0077 7.3760 7 10 60 6 0.125 16.63 16.21 5 0.0077 11.0380 8 6 40 4 0.1625 19.45 19.08 5 0.0077 9.5840 9 10 60 6 0.125 18.94 18.46 5 0.0077 12.3376 10 6 80 4 0.1625 15.07 14.83 5 0.0077 6.1168 11 10 60 6 0.05 17.25 16.75 5 0.0077 12.9610 12 10 20 6 0.125 16.30 15.71 5 0.0077 15.3120 13 14 40 8 0.1625 15.12 14.45 5 0.0077 17.4280 14 10 60 6 0.125 17.18 16.70 5 0.0077 12.4670 15 10 60 6 0.125 14.81 14.31 5 0.0077 13.1030 16 6 80 8 0.0875 15.73 15.57 5 0.0077 4.1558 17 6 80 4 0.0875 15.27 15.02 5 0.0077 6.5974 18 10 60 6 0.125 15.44 15.02 5 0.0077 11.0380 19 6 40 4 0.0875 15.49 15.25 5 0.0077 6.3640 20 10 100 6 0.125 15.36 15.00 5 0.0077 9.3506 21 14 40 4 0.0875 15.77 15.12 5 0.0077 17.0120 22 10 60 6 0.2 17.33 16.92 5 0.0077 10.6490 23 14 80 4 0.0875 20.34 19.72 5 0.0077 15.9740 24 10 60 6 0.125 14.35 13.91 5 0.0077 11.4280 25 6 40 8 0.1625 14.56 14.31 5 0.0077 6.4200 26 14 80 8 0.1625 16.55 15.93 5 0.0077 16.2200 27 6 40 8 0.0875 16.06 15.86 5 0.0077 5.1940 28 10 60 10 0.125 17.35 16.86 5 0.0077 12.7660 29 14 40 4 0.1625 14.20 13.56 5 0.0077 16.4940 30 2 60 6 0.125 17.61 17.52 5 0.0077 2.2597 31 10 60 2 0.125 15.52 15.02 5 0.0077 13.1298 205
  • 4. International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME Table 3 Experimental results for Material removal rate for Material AISI D2 M a in E ffe c t s P lo t ( d a t a m e a n s ) fo r M R R Ip T on 20 15 10 5 Mean of MRR 0 2 6 10 14 18 20 40 60 80 100 T off SG 20 15 10 5 0 2 4 6 8 10 0 .0 5 0 0 0 .0 87 5 0 .1 2 5 0 0.1625 0 .2 00 0 Graph 1 Effect of machining parameters on MRR 4 RESPONSE OPTIMIZATION Response Goal Lower Target MRR Maximum 0 20.277 Optimal Ip Ton Toff SG Hi 18.0 100.0 10.0 0.20 D Cur [18.0] [20.0] [2.0] [0.050] 1.0000 Lo 2.0 20.0 2.0 0.050 MRR Maximum y = 23.2978 d = 1.0000 Graph 2 D- Optimality plot From this graph we can predict the optimum values of process parameters Process parameters units Optimum values Discharge current (Ip) A 18 Spark on time (Ton) µs 20 Spark off time (Toff) µs 2 Spark gap (SG) mm 0.05 Table 4 optimum values of process parameters 206
  • 5. International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME Confirmation test and their comparison with results Trial Optimum Ra (µm) Error No. conditions Experimental Predicted (%) 01 Ip=18 A, Ton =20 µs, Toff = 22.783 23.2978 2.20 2 µs, SG = 0.05mm 02 Ip=18 A, Ton =20 µs, Toff = 22.970 23.2978 1.40 2 µs, SG = 0.05mm Table 5 Confirmation test and their comparison with results 5. CONCLUSION The choice of the electrical parameters of the EDM process depends largely on the material combination of the electrode and the work piece and the EDM manufactures only supply these parameters for a limited amount of material combinations. The industrialist can directly use the optimum values so that the material removal rate will be maximum. MINITAB software was used for DOE and analysis of the experimental result and the response was validated experimentally. 6. REFERENCES [1] Manish Vishwakarma, v.K.Khare, vishal Parashar, Response surface approach for optimization of Sinker Electric Discharge Machine process parameters on AISI 4140 alloy steel; International Journal of Engineering Research and Applications (IJERA) ISSN: 2248- 9622 www.ijera.com, Vol. 2, Issue 4, July-August 2012, pp.185-189. [2] Md. Ashikur Rahman Khan, M.M. Rahman1, K. Kadirgama1, M.A. Maleque and M. Ishak, Prediction of Surface Roughness of Ti-6al-4v In Electrical Discharge Machining: A Regression Model, Journal of Mechanical Engineering and Sciences (JMES) e-ISSN: 2231- 8380; Volume 1, pp. 16-24, December 2011. [3] M.K. Pradhan and C.K. Biswas, Effect of process parameters on surface roughness in EDM of tool steel by response surface methodology; Int. J. Precision Technology, Vol. 2, No. 1, 2011 [4] Mohan Kumar Pradhan and Chandan Kumar Biswas, Modelling of machining parameters for MRR in EDM using response surface methodology, Proceedings of NCMSTA’08 Conference National Conference on Mechanism Science and Technology: from Theory to Application November 13-14, 2008 National Institute of Technology, Hamirpur [5] B. C. Routara, P. Sahoo, A. Bandyopadhyay, Application Of Response Surface Method For Modelling Of Statistical Roughness Parameters On Electric Discharge Machining. [6] Rodge M.K, Sarpate S.S and Sharma S.B, “Investigation On Process Response And Parameters In Wire Electrical Discharge Machining Of Inconel 625” International Journal of Mechanical Engineering & Technology (IJMET), Volume 4, Issue 1, 2013, pp. 54 - 65, Published by IAEME. 207
  • 6. International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 1, January - February (2013) © IAEME [7] Mane S.G. and Hargude N.V., “An Overview Of Experimental Investigation Of Near Dry Electrical Discharge Machining Process” International Journal Of Advanced Research In Engineering & Technology (IJARET), Volume 3, Issue 2, 2012, pp. 22 - 36, Published by IAEME. [8] M Manohar, Jomy Joseph, T Selvaraj and D Sivakumar, “Development Of Models Using Genetic Programming For Turning Inconel 718 With Coated Carbide Tools”, International Journal of Design and Manufacturing Technology (IJDMT), Volume 4, Issue 1, 2013, pp. 1 - 13, Published by IAEME. [9] Kirankumar Ramakantrao Jagtap, S.B.Ubale and Dr.M.S.Kadam, “Optimization Of Cylindrical Grinding Process Parameters For AISI 5120 Steel Using Taguchi Method”, International Journal of Design and Manufacturing Technology (IJDMT), Volume 2, Issue 1, 2011, pp. 47 - 56, Published by IAEME. [10] K. Leo Dev Wins and A. S. Varadarajan., “Optimization Of Surface Finish During Milling Of Hardened AISI4340 Steel With Minimal Pulsed Jet Of Fluid Application Using Response Surface Methodology” International Journal Of Advanced Research In Engineering & Technology (IJARET), Volume 2, Issue 1, 2011, pp. 12 - 28, Published by IAEME. [11] Kirankumar Ramakantrao Jagtap, S.B.Ubale and Dr.M.S.Kadam, “Optimization Of Cylindrical Grinding Process Parameters For AISI 1040 Steel Using Taguchi Method” International Journal of Mechanical Engineering & Technology (IJMET), Volume 3, Issue 1, 2012, pp. 226 - 234, Published by IAEME. [12] Brij Bhushan Tyagi, Mohd.Parvez, Rupesh Chalisgaonkar and Nitin Sharma, “Optimization of Process Parameters of Wire Electrical Discharge Machining of AISI 316L” International Journal of Mechanical Engineering & Technology (IJMET), Volume 3, Issue 2, 2012, pp. 317 - 327, Published by IAEME. 208