Findings of performance evaluation of EDM for different materials of electrodes and work pieces- a review

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    EDM (Spark erosion) is non-conventional machining process which uses as removing unwanted material by electrical spark erosion. EDM Machining parameters affecting to the performance and the industries goal is to produce high quality of product with less time consuming and cost. To achieve these goals, optimizing the machining parameters such as pulse on time, pulse off time, cutting speed, depth of cut, duty cycle, arc gap, voltage etc. The performance measure of EDM is calculated on the basis of Material Remove Rate(MRR), Tool Wear Rate(TWR), and Surface Roughness(SR).

    The main objective of present work is to investigate of the influence of input EDM (Electro Discharge Machining) parameters on machining characteristics like surface roughness and the effects of various EDM process parameters such as pulse on time, pulse off time, servo voltage, peak current, dielectric flow rate, on different process response parameters such as material removal rate (MRR), surface roughness (Ra), Kerf (width of Cut), tool wear ratio(TWR)and surface integrity factors. In this paper few selected research paper related to Die-sinker EDM with effect of MRR, TWR, surface roughness (SR) and work piece material have been discussed.

     

     

     

  • Keywords


    Electro Discharge Machining (EDM); Dielectric; Process Parameters; Performance Parameters; Material Removal Rate(MRR);Tool Wear Rate (TWR); Surface Roughness (SR).

  • References


      [1] Senthil Kannan.V, Dr. K. Lenin, ‘‘Selection of optimum parameter and Electrode for machining of AL 2017 Alloy by machining in Electrical discharge Machining” International Journal of Mechanical Engineering- (ICEHS), (2017).

      [2] Satish Kumar, Ashwani Kumar Dhingra and Sanjeev Kumar, “Parametric optimization of powder mixed electrical dis- charge machining for nickelbased superalloy inconel-800 us- ing response surface methodology” Mechanics of Advanced Materials and Modern Processes, (2017).

      [3] Trinkle Yuvaraj Saindane, H. G. Patil, “Optimization of Var- ious Process Parameter of EDM Using Taguchi Method with Experimental Validation” International Journal of Engineer- ing Science and Computing, (2016).

      [4] N. Mathan Kumar , S. Senthil Kumaran , L.A. Kumaraswa- midhas ‘‘High temperature investigation on EDM process of Al 2618 alloy reinforced with Si3N4, ALN and ZrB2 in-situ composites” Journal of Alloys and Compounds, (2016).

      [5] Vijaykumar S. Jatti, T. P.Singh ‘‘Optimization of Tool Wear Rate during Electrical Discharge Machining of Advanced Materials using Taguchi Analysis” WSEAS Transactions on Applied and Theoretical Mechanics (2016).

      [6] D.Vinoth Kumar, P.Siva Kumar, B.Kumaragurubharan, T.Senthil kumar, “Experimental Investigation of Process Pa- rameters in EDM for Incoloy 600 Using Taguchi-GRA” In- ternational Journal of Engineering Science and Compu- ting, (2016).

      [7] MFF Ab. Rashid, WS Wan Harun and SA Che Ghani, “Op- timization of edm small hole drilling process using taguchi approach” Journal of Engineering and Applied Scienc- es,(2016).

      [8] Mr. Somnath M. Kale, Mr.D.S.Khedekar, ‘‘Optimization of Process parameters in EDM for Machining of Inconel 718 us- ing Response Surface Methodology” International Journal of Innovations in Engineering and Technology (IJIET), (2016).

      [9] Jatinder kumar, Balbir singh, sudhir kumar, “Investigation of the tool wear rate in tungsten powder mixed electric dis- charge machining of AA6061/10% Sic p composite”, Journal of Material and Manufacturing Process, (2015).

      [10] Rupesh Kumar Tiwari, “Multi-objective optimization of elec- trical discharge machining process parameters using genetic algorithm”Journal of Engineering Research and General Sci- ence, (2015).

      [11] V.Balasubramaniam, N.Baskar, C.Sathiya Narayanan, “Op- timization of electrical discharge machining parameters using artificial neural network with different electrodes” 5th Inter- national & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014), IIT Guwahati, Assam, India, (2014).

      [12] Kapil Banker, Ujjval Prajapati, Jaimin Prajapati, Paras Modi “Parameter optimization of Electro Discharge Machine of AISI 304 Steel by using Taguchi Method” International Journal of Application or Innovation in Engineering & Man- agement (IJAIEM)(2014).

      [13] Dr. M.Indira Rani, Ketan “Optimization of Various Machin- ing Parameters of Electrical Discharge Machining (EDM) Process on AISI D2 Tool Steel Using Hybrid Optimization Method” International Journal of Application or Innovation in Engineering & Management (IJAIEM) (2014).

      [14] Chandramouli S, Shrinivas Balraj U and Eswaraiah K“Optimization of Electrical Discharge Machining Process Parameters Using Taguchi Method” International Journal of Engineering Research and Applications (IJERA), (2014).

      [15] Raghuraman S, Thiruppathi K, Panneerselvam T, Santosh S, “Optimization of edm parameters using taguchi method and grey relational analysis for mild steel is 2026”, Journal of In- novative Research in Science, Engineering and Technology, (2013).

      [16] M.A. Ali, M. Samsul, N.I.S. Hussein, M. Rizal, R. Izamshah, M. Hadzley, M.S. Kasim, M.A. Sulaiman and S. Sivarao, “The effect of edm die-sinking parameters on material re- moval rate of beryllium copper using full factorial method”, Journal of Scientific Research, (2013).

      [17] S. Assarzadeh, M. Ghoreishi, “Statistical modeling and opti- mization of process parameters in electro-discharge machin- ing of cobalt-bonded tungsten carbide composite (WC/6%Co)”, The Seventeenth CIRP Conference on Electro Physical and Chemical Machining (ISEM), (2013).

      [18] M. Gostimirovic, p. Kovac, B. Skoric, M Sekulic, “Effect of electrical pulse parameters on the machining performance in EDM”, Indian Journal of engineering and materials sciences, (2012).

      [19] Ramezan Ali MahdaviNejad, “Modeling and optimization of electrical discharge machining of sic parameters, using neural network and non-dominating sorting genetic algorithm (NSGA II)”, Journal of Scientific Research, Materials Sci- ences and Applications, (2011).

      [20] P. Kuppan, A. Rajadurai, S. Narayanan, “Influence of EDM process parameters in deep hole drilling of Inconel 718”, Journal Advance Manufacturing Technology, (2008).

      [21] M. Kiyak, O. Cakir, “Examination of machining parameters on surface roughness in EDM of Tool Steel”, Journal of Ma- terials Processing Technology, (2007).

      [22] Kun Ling Wu, Biing Hwa Yan, Fuang Yuan Huang, Shin Chang Chen, “Improvement of surface finish on SKD steel using electro-discharge machining with aluminum and sur- factant added dielectric”, Journal of Machine Tools & Manu- facture (2005).


 

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Article ID: 21153
 
DOI: 10.14419/ijet.v7i4.5.21153




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