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Experimental Investigation and Optimization of Process Parameters in Ti – (6242) Alpha–Beta Alloy Using Electrical Discharge Machining

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Abstract

This investigation exposes electrical discharge machine (EDM) technique in expelling the metal with a conducted copper electrode from the Ti–6Al–2Sn–4Zr–2Mo alloy. The alloy Ti–6Al–2Sn–4Zr–2Mo has the highest resistance, high-temperature detection, high tensile strength, and high yield strength. Ti–6Al–2Sn–4Zr–2Mo alloy is commonly used for applications such as aerospace, medical equipment, automotive parts, and nuclear power plants. EDM provides easy machinability and excellent surface finishes. Machine parameters of primary noteworthiness, such as Discharge Current (I), Spark on time (μs), and Tool Diameter (mm), are considered using the Taguchi L27 orthogonal array. Metal removal rate (MRR), tool wear rate (TWR), and overcut (OC) perpendicularity are investigated with the help of mean effective plots. Multi response optimization to maximize the material removal rate (MRR) and minimize the tool wear rate (TWR) and over cut (OC) on the surface of the workpiece has been analyzed by Grey relational analysis (GRA). The result expresses that spark on time (Ton) contributes (6.22%) more on affecting the machining characteristics followed by electrode diameter (76.97%) and discharge current (16.97%). From the F-test, it is assumed that all the machining parameters have a significant influence on responses. Accordingly an optimum combination of machining parameters is also determined.

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References

  1. F. Müller, J. Monaghan, Non-conventional machining of particle reinforced metal matrix composite. Int. J. Mach. Tools Manuf. 40(9), 1351–1366 (2000). https://doi.org/10.1016/s0890-6955(99)00121-2

    Article  Google Scholar 

  2. D.V.S.S.S.V. Prasad, A. Gopala Krishna, Empirical modeling and optimization of wire electrical discharge machining. Int. J. Adv. Manuf. Technol. 43(9–10), 914–925 (2008). https://doi.org/10.1007/s00170-008-1769-x

    Article  Google Scholar 

  3. A. Mohanty, G. Talla, S. Gangopadhyay, Experimental investigation and analysis of EDM characteristics of Inconel 825. Mater. Manuf. Process. 29(5), 540–549 (2014). https://doi.org/10.1080/10426914.2014.901536

    Article  CAS  Google Scholar 

  4. D. Palanisamy, A. Devaraju, N. Manikandan, K. Balasubramanian, D. Arulkirubakaran, Experimental investigation and optimization of process parameters in EDM of aluminium metal matrix composites. Mater. Today Proc. (2019). https://doi.org/10.1016/j.matpr.2019.08.145

    Article  Google Scholar 

  5. A.P. Dwivedi, S.K. Choudhury, Effect of tool rotation on MRR, TWR, and surface integrity of AISI-D3 steel using the rotary EDM process. Mater. Manuf. Process. 31(14), 1844–1852 (2016). https://doi.org/10.1080/10426914.2016.1140198

    Article  CAS  Google Scholar 

  6. R. Karthikeyan, P.R. Lakshmi Narayanan, R.S. Naagarazan, Mathematical modeling for electric discharge machining of aluminum-silicon carbide particulate composite. J. Mater. Process. Technol. 87, 59–63 (1999). https://doi.org/10.1016/S0924-0136(98)00332-X

    Article  Google Scholar 

  7. B. Mohan, A. Rajadurai, K. Satyanarayana, Effect of SiC and rotation of electrode on electric discharge machining of Al–SiC composite. J. Mater. Process. Technol. 124(3), 297–304 (2002). https://doi.org/10.1016/s0924-0136(02)00202-9

    Article  CAS  Google Scholar 

  8. N. Singh, P.N. Raghukandan, K. Rathinasabapathi, M. Pai, Electric discharge machining of Al–10%SiCP as-cast metal matrix composites. J Mater. Process. Technol. 155–156(1–3), 1653–1657 (2004). https://doi.org/10.1016/j.jmatprotec.2004.04.321

    Article  CAS  Google Scholar 

  9. Y.H. Guu, H. Hocheng, Effects of workpiece rotation on machinability during electrical-discharge machining. Mater. Manuf. Process. 16(1), 91–101 (2001). https://doi.org/10.1081/amp-100103699

    Article  CAS  Google Scholar 

  10. G. Mandaloi, S. Singh, P. Kumar, K. Pal, Effect on crystalline structure of AISI M2 steel using tungsten–thorium electrode through MRR, EWR, and surface finish. Measurement 90, 74–84 (2016). https://doi.org/10.1016/j.measurement.2016.04.041

    Article  Google Scholar 

  11. X.-P. Dang, Constrained multi-objective optimization of EDM process parameters using kriging model and particle swarm algorithm. Mater. Manuf. Process. 33(4), 397–404 (2017). https://doi.org/10.1080/10426914.2017.1292037

    Article  CAS  Google Scholar 

  12. V.K. Meena, M.S. Azad, Grey relational analysis of micro-EDM machining of Ti–6Al–4V alloy. Mater. Manuf. Process. 27(9), 973–977 (2012). https://doi.org/10.1080/10426914.2011.610080

    Article  CAS  Google Scholar 

  13. N. Ahmed, K. Ishfaq, M. Rafaqat, S. Pervaiz, S. Anwar, B. Salah, EDM of Ti–6Al–4V: electrode and polarity selection for minimum tool wear rate and overcut. Mater. Manuf. Process. (2019). https://doi.org/10.1080/10426914.2019.1594278

    Article  Google Scholar 

  14. A. Kumar, A. Mandal, A.R. Dixit, A.K. Das, Performance evaluation of Al2O3 nano powder mixed dielectric for electric discharge machining of Inconel 825. Mater. Manuf. Process. 33(9), 986–995 (2017). https://doi.org/10.1080/10426914.2017.1376081

    Article  CAS  Google Scholar 

  15. P.M. Kumar, K. Sivakumar, N. Jayakumar, Multiobjective optimization and analysis of copper–titanium diboride electrode in EDM of monel 400TM alloy. Mater. Manuf. Process. 33(13), 1429–1437 (2017). https://doi.org/10.1080/10426914.2017.1415439

    Article  CAS  Google Scholar 

  16. R. Mukherjee, S. Chakraborty, Selection of EDM process parameters using biogeography-based optimization algorithm. Mater. Manuf. Process. 27(9), 954–962 (2012). https://doi.org/10.1080/10426914.2011.610089

    Article  CAS  Google Scholar 

  17. R. Goyal, S. Sngh, H. Kumar, Performance evaluation of cryogenically assisted electric discharge machining (CEDM) process. Mater. Manuf. Process. 33(4), 433–443 (2017). https://doi.org/10.1080/10426914.2017.1317789

    Article  CAS  Google Scholar 

  18. J.T. Huang, Y.S. Liao, Optimization of machining parameters of wire-EDM based on grey relational and statistical analyses. Int. J. Prod. Res. 41, 1707–1720 (2003)

    Article  Google Scholar 

  19. K.T. Chiang, F.P. Chang, Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis. J. Mater. Process. Technol. 180, 96–101 (2006)

    Article  CAS  Google Scholar 

  20. A.N. Haq, P. Marimuthu, R. Jeyapaul, Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method. Int. J. Adv. Manuf. Technol. 37(3–4), 250–255 (2007). https://doi.org/10.1007/s00170-007-0981-4

    Article  Google Scholar 

  21. L. Selvarajan, C.S. Narayanan, R. JeyaPaul, Optimization of EDM parameters on machining Si3N4–TiN composite for improving circularity, cylindricity, and perpendicularity. Mater. Manuf. Process. 31(4), 405–412 (2015). https://doi.org/10.1080/10426914.2015.1058947

    Article  CAS  Google Scholar 

  22. A.K. Rouniyar, P. Shandilya, Multi-objective optimization using Taguchi and grey relational analysis on machining of Ti–6Al–4V alloy by powder mixed EDM process. Mater. Today Proc. 5(11), 23779–23788 (2018). https://doi.org/10.1016/j.matpr.2018.10.169

    Article  CAS  Google Scholar 

  23. M.S. Mhatre, S.U. Sapkal, R.S. Pawade, Electro discharge machining characteristics of Ti–6Al–4V alloy: a grey relational optimization. Proc. Mater. Sci. 5, 2014–2022 (2014). https://doi.org/10.1016/j.mspro.2014.07.534

    Article  CAS  Google Scholar 

  24. A. Perumal, A. Azhagurajan, S. Baskaran, R. Prithivirajan, P. Narayanasamy, Statistical evaluation and performance analysis of electrical discharge machining (EDM) characteristics of hard Ti–6Al–2Sn–4Zr–2Mo alloy. Mater. Res. Express (2019). https://doi.org/10.1088/2053-1591/ab06da

    Article  Google Scholar 

  25. 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). https://doi.org/10.1080/03602550600728133

    Article  CAS  Google Scholar 

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Acknowledgements

The authors thankfully accept the support of the Centre for Advanced Machining, Kalasalingam Academy of Research and Education, Tamilnadu, India, for permission to utilize the services.

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Perumal, A., Azhagurajan, A., Prithivirajan, R. et al. Experimental Investigation and Optimization of Process Parameters in Ti – (6242) Alpha–Beta Alloy Using Electrical Discharge Machining. J Inorg Organomet Polym 31, 1787–1800 (2021). https://doi.org/10.1007/s10904-020-01786-1

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  • DOI: https://doi.org/10.1007/s10904-020-01786-1

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