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A Study on Optimization Techniques of Electro Discharge Machining

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Intelligent Manufacturing

Part of the book series: Materials Forming, Machining and Tribology ((MFMT))

Abstract

The technique of optimization is a mathematical method for calculating the maximum and minimum value of a function f(x), which is subject to certain constraints. Optimization is the expression, under the given circumstance, of obtaining the best mix of outcomes. No specific methods are available to deal with all numerical and mathematical issues. So different types of techniques for dealing with different kinds of issues have been introduced. The optimization technique is most widely used in Electro Discharge Machining (EDM) to find the best combination of input parameters (such as current, voltage, pulse on time, pulse off time, etc.) for the desired output parameters (such as material removal rate, surface roughness, tool wear rate, etc.). This method usually only applies to conductive materials (such as silver, copper, aluminium, brass, bronze, etc.). Electricity can flow through the conductive materials for conductivity. Once dielectric fluid (acts as a semiconductor and flushing agent to clean and remove eroded debris from the region of the spark gap, such as kerosene, EDM oil, and deionized water) flows, the workpiece is released metal ions, and the tool is released electrons. Therefore, a spark is formed between the tool and workpiece and induced temperature of 8000–12000 ℃, and due to this spark energy, the material is removed from the substrate. The maximum MRR (Material removal rate), minimum TWR (Tool wear rate) and SR (Surface roughness) are critical for the optimization technique. In this study, different types of optimization techniques are defined for EDM machining purposes based on their uses.

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References

  1. K. Gupta, M.K. Gupta, Developments in non-conventional machining for sustainable production—a state of art review. Proc. IMechE, Part C J. Mech. Eng. Sci. (Sage) 233(12), 4213–4232 (2019)

    Google Scholar 

  2. B.K. Sahua, S. Datta, On electro-discharge machining of Inconel 718 super alloys : an experimental investigation. Mater. Today Proc. 5, 4861–4869 (2018)

    Google Scholar 

  3. N. Sharma, K. Gupta, J.P. Davim, On wire spark erosion machining induced surface integrity of Ni55.8Ti shape memory alloys. Arch. Civ. Mech. Eng. (Elsevier) 19(3), 680–693 (2019)

    Article  Google Scholar 

  4. P.K. Patowari, P. Saha, P.K. Mishra, An experimental investigation of surface modification of C-40 steel using W–Cu powder metallurgy sintered compact tools in EDM. Int. J. Adv. Manuf. Technol. (2015)

    Google Scholar 

  5. M. Rahang, P.K. Patowari, Application of masking technique in EDM for generation of rectangular shaped pattern. Int. J. Precis. Technol. 5(2), 140–156 (2015)

    Google Scholar 

  6. K. Gupta, N.K. Jain, Comparative study of Wire-EDM and hobbing for manufacturing high-quality miniature gears comparative study of wire-EDM and hobbing for manufacturing high-quality Miniature gears. Mater. Manuf. Process. (October), 37–41 (2014)

    Google Scholar 

  7. K. Gupta, N.K. Jain, Deviations in geometry of miniature gears fabricated by wire electrical discharge machining, in: Proceedings of International Mechanical Engineering Congress & Exposition (IMECE 2013) of ASME, V010T11A047, Nov. 13–21, 2013, San Diego, California, USA (2013)

    Google Scholar 

  8. K. Mohapatra, S. Sahoo, A multi objective optimization of gear cutting in WEDM of Inconel 718 using TOPSIS method. Decis. Sci. Lett. 7, 157–170 (2018)

    Google Scholar 

  9. A. Kumar, H. Mishra, K. Vivekananda, K.P. Maity, Multi-objective optimization of wire electrical discharge machining process parameterson Inconel 718. Mater. Today Proc. 4(2), 2137–2146 (2017)

    Google Scholar 

  10. C. Wang, Comparison of micro-EDM characteristics of Inconel 706 between EDM Oil and an Al powder-mixed dielectric. Adv. Mater. Sci. Eng. 2019 (2019)

    Google Scholar 

  11. M.Y. Ali, A. Sabur, A. Banu, A. Maleque, E.Y.T. Adesta, Micro electro discharge machining of nonconductive ceramic. Int. J. Eng. Mater. Manuf. 3, 65–72 (2018)

    Google Scholar 

  12. K.P. Somashekhar, S. Panda, J. Mathew, N. Ramachandran, Numerical simulation of micro-EDM model with multi-spark. Int. J. Adv. Manuf. Technol. (2013)

    Google Scholar 

  13. L. Raju, S.S. Hiremath, A state-of-the-art Review on micro electro-discharge machining. Procedia Technol. 25(Rarest), 1281–1288 (2016)

    Google Scholar 

  14. S.K. Choudhary, R.S. Jadoun, A. Kumar, Latest research trend of optimization techniques in electric discharge machining (EDM): review article. Int. J. Res. Eng. Adv. Technol. 2(3), 1–29 (2014)

    Google Scholar 

  15. J.Y. Kao, C.C. Tsao, S.S. Wang, C.Y. Hsu, Optimization of the EDM parameters on machining Ti-6Al-4V with multiple quality characteristics. Int. J. Adv. Manuf. Technol. 47(1–4), 395–402 (2010)

    Article  Google Scholar 

  16. M.S. Reza, M. Hamdi, M.A. Azmir, Optimization of EDM injection flushing type control parameters using grey relational analysis on AISI304 Stainless steel workpiece, in National Conference in Mechanical Engineering Research and Postgraduate Students (1st NCMER 2010), no. May, pp. 564–571 (2010)

    Google Scholar 

  17. J.H. Jung, W.T. Kwon, Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis. J. Mech. Sci. Technol. 24(5), 1083–1090 (2010)

    Article  Google Scholar 

  18. M.A.M. Azadi Moghaddam, F. Kolahan, Application of grey relational analysis and simulated annealing algorithm for modeling and optimization of EDM parameters on 40CrMnMoS86 hot worked steel, in 20th Annual International Conference on Mechanical Engineering, vol. 53, no. 9, pp. 1689–1699 (2012)

    Google Scholar 

  19. R. Rajesh, M. Dev Anand, The optimization of the electro-discharge machining process using response surface methodology and genetic algorithms. Procedia Eng. 38, 3941–3950 (2012)

    Google Scholar 

  20. S. Singh, Optimization of machining characteristics in electric discharge machining of 6061Al/Al2O3p/20P composites by grey relational analysis. Int. J. Adv. Manuf. Technol. 63(9–12), 1191–1202 (2012)

    Article  Google Scholar 

  21. S.S. Raghuraman, K. Thiruppathi, T. Panneerselvam, Optimization of EDM parameters using Taguchi method and grey relational analysis for mild steel is 2026. Int. J. Innov. Res. Sci. Eng. Technol. 2(7), 3095–3104

    Google Scholar 

  22. S. Gopalakannan, T. Senthilvelan, S. Ranganathan, Statistical optimization of EDM parameters on machining of aluminum Hybrid Metal Matrix composite by applying Taguchi based Grey analysis. J. Sci. Ind. Res. (India) 72(6), 358–365 (2013)

    Google Scholar 

  23. V.S. Ganachari, M.V. Kavade, S.S. Mohite, Effect of mixture of Al and Sic powder on surface roughness in PMEDM using Taguchi method with GRA optimization. Int. J. Adv. Eng. Res. Stud., 04–07 (2013)

    Google Scholar 

  24. C. Upadhyay, Rahul, S. Datta, S.S. Mahapatra, B.B. Biswal, An experimental investigation on electro discharge machining of Inconel 601. Int. J. Ind. Syst. Eng. 29(2), 223–251 (2018)

    Google Scholar 

  25. K.M. Tsai, P.J. Wang, Predictions on surface finish in electrical discharge machining based upon neural network models. Int. J. Mach. Tools Manuf. 41(10), 1385–1403 (2001)

    Article  Google Scholar 

  26. C. Fenggou, Y. Dayong, The study of high efficiency and intelligent optimization system in EDM sinking process. J. Mater. Process. Technol. 149(1–3), 83–87 (2004)

    Article  Google Scholar 

  27. G.K.M. Rao, G.R. Janardhan, D.H. Rao, M.S. Rao, Development of hybrid model and optimization of metal removal rate in electric discharge machining using artificial neural networks and genetic algorithm. ARPN J. Eng. Appl. Sci. 3(1), 19–30 (2008)

    Google Scholar 

  28. M.K. Pradhan, R. Das, C.K. Biswas, Comparisons of neural network models on surface roughness in electrical discharge machining. J. Eng. Manuf. 223, 801–808 (2009)

    Article  Google Scholar 

  29. M. Kumar, P. Chandan, K. Biswas, Neuro-fuzzy and neural network-based prediction of various responses in electrical discharge machining of AISI D2 steel. Int. J. Adv. Manuf. Technol., 591–610 (2010)

    Google Scholar 

  30. R.A. MahdaviNejad, Modeling and optimization of electrical discharge machining of SiC parameters, using neural network and non-dominating sorting genetic algorithm (NSGA II). Mater. Sci. Appl. 02(06), 669–675 (2011)

    Google Scholar 

  31. A. Yhya, T. Andromeda, A. Baharom, A.A. Rahim, N. Mahmud, Material removal rate prediction of electrical discharge machining process using artificial neural network. J. Mech. Eng. Autom. 1, 298–302 (2011)

    Google Scholar 

  32. P.S. Bharti, S. Maheshwari, C. Sharma, Multi-objective optimization of electric-discharge machining process using controlled elitist NSGA-II. J. Mech. Sci. Technol. 26(6), 1875–1883 (2012)

    Article  Google Scholar 

  33. C.J. Tzeng, R.Y. Chen, Optimization of electric discharge machining process using the response surface methodology and genetic algorithm approach. Int. J. Precis. Eng. Manuf. 14(5), 709–717 (2013)

    Article  Google Scholar 

  34. A.B.G. Abhinandan, A. Gosavi, Predicting optimized EDM machining parameter through thermo mechanical analysis. IOSR J. Mech. Civ. Eng. 13(3), 71–85 (2016)

    Google Scholar 

  35. S.S. Mahapatra, A. Patnaik, Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method. Int. J. Adv. Manuf. Technol., 911–925 (2007)

    Google Scholar 

  36. Q. Gao, Q.H. Zhang, S.P. Su, J.H. Zhang, Parameter optimization model in electrical discharge machining process. J. Zhejiang Univ. Sci. A 9(1), 104–108 (2008)

    Article  Google Scholar 

  37. K. Maji, D.K. Pratihar, Modeling of electrical discharge machining process using conventional regression analysis and genetic algorithms. J. Mater. Eng. Perform. 20(7), 1121–1127 (2011)

    Article  Google Scholar 

  38. S. Padhee, N. Nayak, S.K. Panda, P.R. Dhal, S.S. Mahapatra, Multi-objective parametric optimization of powder mixed electro-discharge machining using response surface methodology and non-dominated sorting genetic algorithm. Sadhana—Acad. Proc. Eng. Sci. 37(2), 223–240 (2012)

    Google Scholar 

  39. P.J. Wang, K.M. Tsai, Semi-empirical model on work removal and tool wear in electrical discharge machining. J. Mater. Process. Technol. 114(1), 1–17 (2001)

    Article  Google Scholar 

  40. P.M. George, B.K. Raghunath, L.M. Manocha, A.M. Warrier, EDM machining of carbon-carbon composite—a Taguchi approach. J. Mater. Process. Technol. 145(1), 66–71 (2004)

    Article  Google Scholar 

  41. H.K. Kansal, S. Singh, P. Kumar, Application of Taguchi method for optimisation of powder mixed electrical discharge machining. Int. J. Manuf. Technol. Manag. 7(I), 329–341 (2005)

    Google Scholar 

  42. Y.C. Lin, C.H. Cheng, B.L. Su, L.R. Hwang, Machining characteristics and optimization of machining parameters of SKH 57 high-speed steel using electrical-discharge machining based on Taguchi method. Mater. Manuf. Process. 21(8), 922–929 (2006)

    Article  Google Scholar 

  43. H.K. Kansal, S. Singh, P. Kumar, Performance parameters optimization (multi-characteristics) of powder mixed electric discharge machining (PMEDM) through Taguchi’s method and utility concept. Indian J. Eng. Mater. Sci. 13(3), 209–216 (2006)

    Google Scholar 

  44. K.D. Chattopadhyay, S. Verma, P.S. Satsangi, P.C. Sharma, Development of empirical model for different process parameters during rotary electrical discharge machining of copper-steel (EN-8) system. J. Mater. Process. Technol. 209(3), 1454–1465 (2009)

    Article  Google Scholar 

  45. P. Govindan, S.S. Joshi, Experimental characterization of material removal in dry electrical discharge drilling. Int. J. Mach. Tools Manuf. 50(5), 431–443 (2010)

    Article  Google Scholar 

  46. S.R. Nipanikar, D.V. Ghewade, Electro discharge machining of Inconel material. Int. J. Eng. Res. Technol. 4(2), 157–169 (2011)

    Google Scholar 

  47. K.H. Syed, K. Palaniyandi, Performance of electrical discharge machining using aluminium powder suspended distilled water. Turkish J. Eng. Env. Sci. 36, 195–207 (2012)

    Google Scholar 

  48. D.R. Vhatkar, B.R. Jadhav, An experimental study on parametric optimization of high carbon steel (EN-31) by using silicon powder mixed dielectric EDM process. Int. J. Sci. Eng. Res. 1(1–3), 431–436 (2013)

    Google Scholar 

  49. R.C. Amit, J. Garg, P.P. Sing, Experimental investigation of process parameters on EN-5 Steel using EDM drilling and Taguchi Method. Int. J. Sci. Eng. Technol. Res. 2(11), 2049–2051 (2013)

    Google Scholar 

  50. A. Bergaley, N. Sharma, Optimization of electrical and non electrical factors in EDM for machining die steel Using Copper electrode by adopting Taguchi technique. Int. J. Innov. Technol. Explor. Eng. 3(3), 44–48 (2013)

    Google Scholar 

  51. S. Goyal, R.K. Singh, Parametric study of powder mixed EDM and optimization of MRR & surface roughness. Int. J. Sci. Eng. Technol. 3(1), 56–62 (2014)

    Google Scholar 

  52. S. Nagaraja, K. Chandrasekaran, S. Shenbhgaraj, Optimization of parameter for metal matrix composite in wire EDM. Int. J. Eng. Sci. Res. Technol. 4(2), 570–574 (2015)

    Google Scholar 

  53. C.S. Kalra, L. Singh, S. Singh, Experimental investigation on surface roughness of heat treated Ti-6Al-4V machined by WEDM. Int. J. Manuf. Mech. Eng. 2(December), 1–10 (2016)

    Google Scholar 

  54. A. Kumar, H. Majumder, K. Vivekananda, K.P. Maity, NSGA-II approach for multi-objective optimization of wire electrical discharge machining process parameter on Inconel 718. Mater. Today Proc. 4(2), 2194–2202 (2017)

    Article  Google Scholar 

  55. S.D. Mohanty, R.C. Mohanty, S.S. Mahapatra, Study on performance of EDM electrodes produced. J. Adv. Manuf. Syst. 16(4), 357–374 (2017)

    Article  Google Scholar 

  56. J.S. Soni, G. Chakraverti, Machining characteristics of titanium with rotary electro-discharge machining. Wear 171(1–2), 51–58 (1994)

    Article  Google Scholar 

  57. I. Puertas, C.J. Luis, L. Álvarez, Analysis of the influence of EDM parameters on surface quality, MRR and EW of WC-Co. J. Mater. Process. Technol. 153–154(1–3), 1026–1032 (2004)

    Article  Google Scholar 

  58. H.K. Kansal, S. Singh, P. Kumar, Parametric optimization of powder mixed electrical discharge machining by response surface methodology. J. Mater. Process. Technol. 169(3), 427–436 (2005)

    Article  Google Scholar 

  59. K.T. Chiang, F.P. Chang, D.C. Tsai, Modeling and analysis of the rapidly resolidified layer of SG cast iron in the EDM process through the response surface methodology. J. Mater. Process. Technol. 182(1–3), 525–533 (2007)

    Article  Google Scholar 

  60. C.J. Luis, I. Puertas, Methodology for developing technological tables used in EDM processes of conductive ceramics. J. Mater. Process. Technol. 189(1–3), 301–309 (2007)

    Article  Google Scholar 

  61. P. Kuppan, A. Rajadurai, S. Narayanan, Influence of EDM process parameters in deep hole drilling of Inconel 718. Int. J. Adv. Manuf. Technol. 38(1–2), 74–84 (2008)

    Article  Google Scholar 

  62. K.T. Chiang, Modeling and analysis of the effects of machining parameters on the performance characteristics in the EDM process of Al2O3 + TiC mixed ceramic. Int. J. Adv. Manuf. Technol. 37(5–6), 523–533 (2008)

    Article  Google Scholar 

  63. K M. Patel, P.M. Pandey, P. Venkateswara Rao, Determination of an optimum parametric combination using a surface roughness prediction model for EDM of Al 2 O 3/SiC w/TiC ceramic composite. Mater. Manuf. Process. 24(6), 675–682 (2009)

    Google Scholar 

  64. M.S. Sohani, V.N. Gaitonde, B. Siddeswarappa, A.S. Deshpande, Investigations into the effect of tool shapes with size factor consideration in sink electrical discharge machining (EDM) process. Int. J. Adv. Manuf. Technol. 45(11–12), 1131–1145 (2009)

    Article  Google Scholar 

  65. S.K. Saha, S.K. Choudhury, Experimental investigation and empirical modeling of the dry electric discharge machining process. Int. J. Mach. Tools Manuf 49(3–4), 297–308 (2009)

    Article  Google Scholar 

  66. S.S. Habib, Study of the parameters in electrical discharge machining through response surface methodology approach. Appl. Math. Model. 33(12), 4397–4407 (2009)

    Article  MATH  Google Scholar 

  67. M.K. Pradhan, C.K. Biswas, Modeling and analysis of process parameters on Surface Roughness in EDM of AISI D2 tool steel by RSM approach,” vol. 33, no. November, pp. 814–819 (2009)

    Google Scholar 

  68. A.K. Iqbal, A.A. Khan, Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology. Am. J. Eng. Appl. Sci. 3(4), 611–619 (2010)

    Google Scholar 

  69. B. Jabbaripour, M.H. Sadeghi, S. Faridvand, M.R. Shabgard, Investigating the effects of EDM parameters on surface integrity, MRR and TWR in machining of Ti-6Al-4V. Mach. Sci. Technol. 16(3), 419–444 (2012)

    Article  Google Scholar 

  70. P. Shandilya, P.K. Jain, N.K. Jain, Prediction of surface roughness during wire electrical discharge machining of SiC p/6061 Al metal matrix composite. Int. J. Ind. Syst. Eng. 12(3), 301–315 (2012)

    Google Scholar 

  71. S. Assarzadeh, M. Ghoreishi, Statistical modeling and optimization of process parameters in of cobalt-bonded tungsten carbide composite (WC/6%Co). Procedia CIRP 6, 463–468 (2013)

    Article  Google Scholar 

  72. S. Rajendran, K. Marimuthu, M. Sakthivel, Study of crack formation and resolidified layer in EDM process on T90Mn2W50Cr45 tool steel. Mater. Manuf. Process. 28(6), 664–669 (2013)

    Google Scholar 

  73. I. Ayesta et al., Influence of EDM parameters on slot machining in C1023 aeronautical alloy. Procedia CIRP 6, 129–134 (2013)

    Article  Google Scholar 

  74. K.H. Syed, P. Kuppan, Studies on recast-layer in EDM using aluminium powder mixed distilled water dielectric fluid. Int. J. Eng. Technol. 5(2), 1775–1780 (2013)

    Google Scholar 

  75. K. Gupta, N.K. Jain, Analysis and optimization of surface finish of wire electrical discharge machined miniature gears. J. Eng. Manuf. (2013)

    Google Scholar 

  76. G. Talla, S. Gangopadhyay, C.K. Biswas, Influence of graphite powder mixed EDM on the surface integrity characteristics of Inconel 625. Part. Sci. Technol. 6351(March) (2016)

    Google Scholar 

  77. P. Shandilya, P.K. Jain, N.K. Jain, Modelling and process optimisation for wire electric discharge machining of metal matrix composites. Int. J. Mach. Mach. Mater. 18(4), 377–391 (2016)

    Google Scholar 

  78. M. Bhaumik, K. Maity, Multi objective optimization of PMEDM using response surface methodology coupled with fuzzy based desirability function approach. Decis. Sci. Lett. 6, 387–394 (2017)

    Google Scholar 

  79. N. Kuruvila, H.V. Ravindra, Parametric influence and optimization of wire-EDM on hot die steel. Mach. Sci. Technol. 0344, 47–75 (2011)

    Google Scholar 

  80. S. Datta, S.S. Mahapatra, Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique. Int. J. Eng. Sci. Technol. 2(5), 162–183 (2010)

    Article  Google Scholar 

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Authors and Affiliations

  1. Mechanical Engineering Department, National Institute of Technology, Silchar, Assam, 788010, India

    Shatarupa Biswas & Yogesh Singh

  2. CAMM, CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal, 713209, India

    Manidipto Mukherjee

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  1. Faculty of Manufacturing and Mechatronics Engineering Technology, University Malaysia Pahang, Pekan, Malaysia

    Sunil Pathak

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Biswas, S., Singh, Y., Mukherjee, M. (2021). A Study on Optimization Techniques of Electro Discharge Machining. In: Pathak, S. (eds) Intelligent Manufacturing. Materials Forming, Machining and Tribology. Springer, Cham. https://doi.org/10.1007/978-3-030-50312-3_1

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