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Numerical and experimental study of the effects of ultrasonic vibrations of tool on machining characteristics of EDM process

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Abstract

In the present study, an axisymmetric model for temperature distribution in single discharge of ultrasonic vibration-assisted electrical discharge machining process has been developed using finite-element method to get the dimensions of generated discharge crater on the surface of workpiece and provide a FEM model for material removal rate at this process. For this purpose, a new mathematical model for plasma channel radius was also developed and used in finite-element modeling. Then, due to good correlation between numerical and experimental results of recast layer thickness with maximum error of 6.1%, the developed finite-element model along with performed experiments was used to investigate the effects of applying ultrasonic vibrations to tool electrode on created crater dimensions, plasma flushing efficiency, and recast layer thickness at different pulse currents and durations. Also, the effects of pulse current and duration on depth, radius, and volume of created craters on machined surface at ultrasonic vibration-assisted electrical discharge machining (EDM) process was investigated. The experimental and numerical results showed that applying ultrasonic vibrations to tool electrode at EDM process increases generated crater depth and volume and plasma flushing efficiency and decreases generated crater radius and recast layer thickness.

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References

  1. Seyedzavvar M, Shabgard M (2012) Influence of tool material on the electrical discharge machining of AISI H13 tool steel. Adv Mater Res 445:988–993

    Article  Google Scholar 

  2. Murthy VSR, Philip PK (1987) Pulse train analysis in ultrasonic assisted EDM. Int J Mach Tools Manufact 27(4):469–477. https://doi.org/10.1016/S0890-6955(87)80019-6

    Article  Google Scholar 

  3. Kremer D, Lebrun JL, Hosari B (1989) Effects of ultrasonic vibrations on the performances in EDM. Annals of the CIRP 38(1):199–202

    Article  Google Scholar 

  4. Garn R, Schubert A, Zeidler H (2011) Analysis of the effect of vibrations on the micro-EDM process at the workpiece surface. Precis Eng 35(2):364–368. https://doi.org/10.1016/j.precisioneng.2010.09.015

    Article  Google Scholar 

  5. Kurniawan R, Thirumalai Kumaran S, Arumuga Prabu V, Zhen Y, Park KM, In Kwak Y, Islam MM, Ko TJ (2017) Measurement of burr removal rate and analysis of machining parameters in ultrasonic assisted dry EDM (US-EDM) for deburring drilled holes in CFRP composite. Measurement 110:98–115

    Article  Google Scholar 

  6. Iwai M, Ninomiya S, Suzuki K (2013) Improvement of EDM properties of PCD with electrode vibrated by ultrasonic transducer. Procedia CIRP 6:146–150. https://doi.org/10.1016/j.procir.2013.03.070

    Article  Google Scholar 

  7. Lin Y-C, Hung J-C, Chow H-M, Wang A-C, Chen J-T (2016) Machining characteristics of a hybrid process of EDM in gas combined with ultrasonic vibration and AJM. Procedia CIRP 42:167–172. https://doi.org/10.1016/j.procir.2016.02.213

    Article  Google Scholar 

  8. Srivastava V, Pandey PM (2012) Effect of process parameters on the performance of EDM process with ultrasonic assisted cryogenically cooled electrode. J Manuf Process 14(3):393–402. https://doi.org/10.1016/j.jmapro.2012.05.001

    Article  Google Scholar 

  9. Lie PJ, Yan J, Kuriyagawa T (2014) Fabrication of deep micro-holes in reaction-bonded SiC by ultrasonic cavitation assisted micro-EDM. Int J Mach Tools Manuf 76:13–20

    Article  Google Scholar 

  10. Ghiculescu D, Marinescu N, Nanu S (2014) Innovatine solutions for performances increase at micro electrical discharge machining aided by ultrasonics. Nonconventional Technol Rev,Rmania:15–20

  11. Daniel Ghiculescu, Niculae-Ion Marinescu, Sergiu Nanu, Daniela Ghiculescu, George Kakarelidis, FEM study of synchronization between pulses and tool oscillations at ultrasonic aided microelectrodischarge machining, Nonconventional Technologies Review – no. 3/2010

  12. Shervani-Tabar MT, Sahbgard MR (2011) Numerical study on the effect of the frequency and amplitude of the tool on the material removal rate in ultrasonic assisted electrical discharge machining. Proc IMeche Part B: J Eng Manuf 225:408–413

    Article  Google Scholar 

  13. Shervani-Tabar MT, Abdullah A, Shabgard MR (2007) Numerical and experimental study on the effect of vibration of the tool in ultrasonic assisted EDM. Int J AdvManufTechnol 32:719–731

    Google Scholar 

  14. Shervani-Tabar MT, Mobadersany N (2013) Numerical study of the dielectric liquid around an electrical discharge generated vapor bubble in ultrasonic assisted EDM. Ultrasonics 53:943–955

    Article  Google Scholar 

  15. Shervani-Tabar MT, Seyed-Sadjadi MH, Shabgard MR (2013) Numerical study on the splitting of a vapor bubble in the ultrasonic assisted EDM process with the curved tool and workpiece. Ultrasonics 53(1):203–210. https://doi.org/10.1016/j.ultras.2012.06.001

    Article  Google Scholar 

  16. Shervani-Tabar MT, Maghsoudi K, Shabgard MR (2013) Effects of simultaneous ultrasonic vibration of the tool and the workpiece in ultrasonic assisted EDM. Int J Comput Methods Eng Sci Mech 14(1):1–9. https://doi.org/10.1080/15502287.2012.698696

    Article  Google Scholar 

  17. Tung WH (1998) The relationship between white layer and residual stress induced by EDM hole-drilling, Master thesis. National Cheng Kung University, Tainan, Department of Mechanical Engineering

    Google Scholar 

  18. Lee HT, Yur JP (2000) Characteristic analysis on EDMed surfaces using Taguchi method approach. Mater Manuf Process 15(6):781–806. https://doi.org/10.1080/10426910008913021

    Article  Google Scholar 

  19. Mc Hugh KM, Lavemia EJ (2006) Development and demonstration of advanced tooling alloys for molds and dies, prepared for the U. S. Department of Energy

  20. Shabgard M, Ahmadi R, Seyedzavvar M, Oliaei SNB (2013) Mathematical and numerical modeling of the effect of input-parameters on the flushing efficiency of plasma channel in EDM process. Int J Mach Tools Manuf, 65:79–87

  21. Singh H (2012) Experimental study of distribution of energy during EDM process for utilization in thermal models. Int J Heat Mass Transf 55(19–20):5053–5064. https://doi.org/10.1016/j.ijheatmasstransfer.2012.05.004

    Article  Google Scholar 

  22. Khan AA (2009) Role of heat transfer on process characteristics during electrical discharge machining, Developments in heat transfer, pp. 417–435

  23. Allen P, Chen X (2007) Process simulation of micro electro-discharge machining on molybdenum. J Mater Process Technol 186(1):346–355

    Article  Google Scholar 

  24. Murali MS, Yeo SH (2005) Process simulation and residual stress estimation of micro-electrodischarge machining using finite element method. Jpn J Appl Phys 44:52–54

    Article  Google Scholar 

  25. Yadav V, Jain VK, Dixit PM (2002) Thermal stresses due to electrical discharge machining. Int J Mach Tools Manuf 42(8):877–888

    Article  Google Scholar 

  26. Keith Hargrove S, Ding D (2007) Determining cutting parameters in wire EDM based on workpiece surface temperature distribution. Int J Adv Manuf Technol 34:296–299

    Google Scholar 

  27. Rajurkar K, Pandit S (1984) Quantitative expressions for some aspects of surface integrity of electro discharge machined components. J Eng Ind (Trans. ASME) 106(2):171–177

    Article  Google Scholar 

  28. Dibitonto DD et al (1989) Theoretical models of the electrical discharge machining process. I. A simple cathode erosion model. J Appl Phys 66(9):4095–4103

    Article  Google Scholar 

  29. Yeo SH, Kurnia W, Tan PC (2007) Electro-thermal modeling of anode and cathode in micro-EDM. J Phys D Appl Phys 40(8):2513–2521. https://doi.org/10.1088/0022-3727/40/8/015

    Article  Google Scholar 

  30. Snoeys R, Van Dijck F (1971) Investigation of electro discharge machining operations by means of thermo-mathematical model. CIRP Ann 20(1):35–37

    Google Scholar 

  31. Van Dijck F, Dutre W (1974) Heat conduction model for the calculation of the volume of molten metal in electric discharges. J Phys D: Appl Phys 7(6):899

    Article  Google Scholar 

  32. Tariq Jilani S, Pandey P (1983) An analysis of surface erosion in electrical discharge machining. Wear 84(3):275–284

    Article  Google Scholar 

  33. Eubank PT et al (1993) Theoretical models of the electrical discharge machining process. III. The variable mass, cylindrical plasma model. J Appl Phys 73(11):7900–7909

    Article  Google Scholar 

  34. Francis CK, Bennett HT (1922) The surface tension of petroleum. The J Ind Eng Chem 14(7):626–627. https://doi.org/10.1021/ie50151a016

    Article  Google Scholar 

  35. Wang F, Wu J, Liu Z (2006) Surface tensions of mixtures of diesel oil or gasoline and dimethoxymethane, dimethyl carbonate, or ethanol. Energy Fuel 20(6):2471–2474. https://doi.org/10.1021/ef060231c

    Article  Google Scholar 

  36. Ryzko H (1965) Drift velocity of electrons and ions in dry and humid air and in water vapor. Proc Phys Soc 85(6):1283–1295. https://doi.org/10.1088/0370-1328/85/6/327

    Article  Google Scholar 

  37. Descoeudres A (2006) Characterization of electrical discharge machining plasmas, Ph.D Thesis, EcolePolytechniqueFederale de Lausanne

  38. Albinskiy K, Musiol K, Miernikiewicz A, Labuz S, Malota M (1996) The temperature of a plasma used in electrical discharge machining. Plasma Sources Sci Technol 5:736–742

    Article  Google Scholar 

  39. Loo KH, Moss GJ, Tozer RC, Stone DA, Jinno M, Devonshire R (2004) A Dynamic Collisional-Radiative model of a low-pressure approach to modeling fluorescent lamps for circuit simulations. IEEE Transactions on Power Electronics 19(4)

  40. Marafona J, Chousal JAG (2006) A finite element model of EDM based on Joule effect. Int J Mach Tool Manu 46(6):595–602. https://doi.org/10.1016/j.ijmachtools.2005.07.017

    Article  Google Scholar 

  41. Salonitis K, Stournaras A, Stavropoulos P, Chryssolouris G (2009) Thermal modeling of the material removal rate and surface roughness for die-sinking EDM. Int J Adv Manuf Technol 40(3-4):316–323. https://doi.org/10.1007/s00170-007-1327-y

    Article  Google Scholar 

  42. Shabgard M, Kakolvand H, Seyedzavvar M, Shotorbani RM (2011) Ultrasonic assisted EDM: effect of the workpiece vibration in the machining characteristics of FW4 welded metal. Front Mech Eng 6(4):419–428

    Google Scholar 

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Authors and Affiliations

  1. Mechanical Engineering Department, University of Tabriz, Tabriz, Iran

    Mohammad Reza Shabgard & Ahad Gholipoor

  2. Faculty of Chemical and Petroleum Engineering, University of Tabriz, Tabriz, Iran

    Mousa Mohammadpourfard

Authors
  1. Mohammad Reza Shabgard
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  2. Ahad Gholipoor
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  3. Mousa Mohammadpourfard
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Correspondence to Mohammad Reza Shabgard.

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Shabgard, M.R., Gholipoor, A. & Mohammadpourfard, M. Numerical and experimental study of the effects of ultrasonic vibrations of tool on machining characteristics of EDM process. Int J Adv Manuf Technol 96, 2657–2669 (2018). https://doi.org/10.1007/s00170-017-1487-3

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  • DOI: https://doi.org/10.1007/s00170-017-1487-3

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