Optimization of Material Removal Rate, Surface Roughness and Kerf Width in Wire-ED Machining of Ti-6Al-4V Using RSM and Grey Relation

Document Type : Original Article

Authors

1 Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

2 Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Abstract

Wire-Electric Discharge (WED) Machining is one of the most suitable machining techniques for machining hard-to-cut materials such as Titanium, with precision. It is of utmost importance to optimize the control parameters to achieve the desired levels of machining performance characteristics. Considering this goal, this research investigates the effects of current, pulse on time (Ton) and pulse off time (Toff) on the material removal rate, surface roughness and kerf width of WED machined Ti-6Al-4V. The results of optimization showed that, current – 5.19 A, Ton – 20 µs, Toff – 30 µs, is the optimized settings for machining of Ti-6Al-4V alloy using molybdenum electrode for the best machining performance. Based on the analysis of grey relational grades, the order of influence of the control parameter is ranked as: Ton – I, Toff – II and Current – III. The efficacy of GRA based approach was evaluated through confirmation experiments wherein the theoretical predictions showed errors < 3%.

Keywords

Main Subjects


  1. Qosim, N., Supriadi, S., Puspitasari, P., Kreshanti, P. “Mechanical Surface Treatments of Ti-6Al-4V Miniplate Implant Manufactured by Electrical Discharge Machining”, International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 7, (2018), 1103-1108, doi: 10.5829/ije.2018.31.07a.14
  2. Gupta, K., Laubscher, R. “Sustainable machining of titanium alloys: A critical review”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 231, No. 14, (2016), 2543-2560, doi: 10.1177/0954405416634278
  3. Pramanik, A. “Problems and solutions in machining of titanium alloys”, The International Journal of Advanced Manufacturing Technology, Vol. 70, (2014), 919-928, doi: 10.1007/s00170-013-5326-x
  4. Oke, S.R., Ogunwande, G.S., Onifade, M., Aikulola, E., Adewale, E.D., Olawale, O.E. “An overview of conventional and non-conventional techniques for machining of titanium alloys”, Manufacturing Review, Vol. 7, No. 34, (2020). 24, doi: 10.1051/mfreview/2020029
  5. Nishanth, B.S., Kulkarni, V.N., Gaitonde V.N. “A review on conventional and nonconventional machining of titanium and nickel-based alloys”, AIP Conference Proceedings, Vol. 2200, No. 020091, (2019), doi: 10.1063/1.5141261
  6. Davim, J.P., Machining: Fundamentals and Recent Advances. London: Springer, 2008. ISBN: 978-1-84800-213-5
  7. Davim, J.P., Nontraditional Machining Processes. London: Springer, 2013. ISBN: 978-1-4471-5179-1
  8. Davim, J.P., Machining of Titanium alloys. Heidelberg: Springer Berlin, 2014. ISBN: 978-3-662-43902-9
  9. Qudeiri, J.A.E., Mourad, A.H.I., Ziout, A. “Electric discharge machining of titanium and its alloys: review”, The International Journal of Advanced Manufacturing Technology, Vol. 96, (2018), 1319-1339, doi: 10.1007/s00170-018-1574-0
  10. Patel, S.S., Prajapati, J.M. “Experimental Investigation of Surface Roughness and Kerf Width During Machining of Blanking Die Material on Wire Electric Discharge Machine”, International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 10, (2018), 1760-1766, doi: 10.5829/ije.2018.31.10a.19
  11. Saedon, J.B., Jaafar, N., Yahaya, M.A., Saad, N., Kasim, M.S. “Multi-objective Optimization of Titanium Alloy through Orthogonal Array and Grey Relational Analysis in WEDM”, Procedia Technology, Vol. 15, (2014), 832-840, doi: 10.1016/j.protcy.2014.09.057
  12. Raj, S.O.N., Prabhu, S. “Modeling and analysis of titanium alloy in wire cut EDM using Grey relation coupled with principle component analysis”, Australian Journal of Mechanical Engineering, Vol. 15, No. 3, (2017), 198-209, doi: 10.1080/14484846.2016.1251077
  13. Mohamed, M.F., Lenin, K. “Optimization of Wire EDM process parameters using Taguchi technique”, Materials Today: Proceedings, Vol. 21, (2020), 527-530, doi: 10.1016/j.matpr.2019.06.662
  14. Nourbakhsh, F., Rajurkar, K.P., Malshe, A.P., Cao, J. “Wire Electro-Discharge Machining of Titanium Alloy”, Procedia CIRP, 5, (2013), 13-18, doi: 10.1016/j.procir.2013.01.003
  15. Golshan, A., Ghodsiyeh, D, Izman, S. “Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 229, No. 1, (2015), 75-85, doi: 10.1177/0954405414523593
  16. Arikatla, S.P., Mannan, K.T., Krishnaiah, A. “Parametric Optimization in Wire Electrical Discharge Machining of Titanium Alloy Using Response Surface Methodology”, Materials Today: Proceedings, Vol. 4, (2017), 1434-1441, doi: 10.1016/j.matpr.2017.01.165
  17. Chaudhari, R., Vora, J., Parikh, D.M., Wankhede, V., Khanna, S. “Multi-response Optimization of WEDM Parameters Using an Integrated Approach of RSM–GRA Analysis for Pure Titanium”, Journal of The Institution of Engineers (India): Series D, Vol. 101, No. 1, (2020, 117-126, doi: 10.1007/s40033-020-00204-7
  18. Saindane, U.V., Soni, S., Menghani, J.V. “Friction and Wear Performance of Brake Pad and Optimization of Manufacturing Parameters using Grey Relational Analysis”, International Journal of Engineering, Transactions C: Aspects, Vol. 35, No. 03, (2022), 552-559, doi: 10.5829/ije.2022.35.03c.07
  19. Khanna, N., Davim, J.P. “Design-of-experiments application in machining titanium alloys for aerospace structural components”, Measurement, Vol. 61, (2015), 280-290, doi: 10.1016/j.measurement.2014.10.059
  20. Lauro, C.H., Filho, S.L.M.R., Brandao, L.C., Davim, J.P. “Analysis of behaviour biocompatible titanium alloy (Ti-6Al-7Nb) in the micro-cutting”, Measurement, Vol. 93, (2016), 529-540, doi: 10.1016/j.measurement.2016.07.059
  21. Hascalik, A., Caydas, U. “Electrical discharge machining of titanium alloy (Ti–6Al–4V)”, Applied Surface Science, Vol. 253, No. 22, (2007), 9007-9016, doi: 10.1016/j.apsusc.2007.05.031
  22. Phan, N.H., Dong, P.V., Muthuramalingam, T., Thien, N.V., Dung, H.T., Hung, T.Q., Duc, N.V., Ly, N.T. “Experimental Investigation of Uncoated Electrode and PVD AlCrNi Coating on Surface Roughness in Electrical Discharge Machining of Ti-6Al-4V”, International Journal of Engineering, Transactions A: Basics, Vol. 34, No. 04, (2021), 928-934, doi: 10.5829/ije.2021.34.04a.19
  23. Chaudhari, R., Vora, J.J., Patel, V., Lacalle, L.N.Ld., Parikh, D.M. “Effect of WEDM Process Parameters on Surface Morphology of Nitinol Shape Memory Alloy”, Materials, Vol. 13, No. 21, (2020), 4943, doi: 10.3390/ma13214943
  24. Devarasiddappa, D., Chandrasekaran, M., Arunachalam, R. “Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm”, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 42, (2020), 128. doi: 10.1007/s40430-020-2224-7
  25. Chakraborty, S., Mitra, S., Bose, D. “Performance Analysis on Eco-friendly Machining of Ti6Al4V using Powder Mixed with Different Dielectrics in WEDM”, International Journal of Automotive and Mechanical Engineering, Vol. 17, No. 2, (2020), 8128-8139, doi: 10.15282/ijame.17.3.2020.06.0610
  26. Kao, J.Y., Tsao, C.C., Wang, S.S., Hsu. C.Y. “Optimization of the EDM parameters on machining Ti–6Al–4V with multiple quality characteristics”, The International Journal of Advanced Manufacturing Technology, Vol. 47, (2010), 395-402, doi: 10.1007/s00170-009-2208-3
  27. Kumar, S., Dhanabalan, S., Narayanan, C.S. “Application of ANFIS and GRA for multi‑objective optimization of optimal wire‑EDM parameters while machining Ti–6Al–4V alloy”, SN Applied Sciences, Vol. 1, (2019), 298, doi: 10.1007/s42452-019-0195-z
  28. Sharma, N., Khanna, R., Sharma, Y.K., Gupta, R.D. “Multi-quality characteristics optimisation on WEDM for Ti-6Al-4V using Taguchi-grey relational theory”, International Journal of Machining and Machinability of Materials, Vol. 21, No. 1/2, (2019), 66-81, doi: 10.1504/IJMMM.2019.098067
  29. Sonawane, S.A., Ronge, B.P., Pawar, P.M. “Multi-characteristic optimization of WEDM for Ti-6Al-4V by applying grey relational investigation during profile machining”, Journal of Mechanical Engineering and Sciences, Vol. 13, No. 4, (2019), 6059-6087, doi: 10.15282/jmes.13.4.2019.22.0478
  30. Gugulothu, B., Rao, G.K.M., Bezabih, M. “Grey relational analysis for multi-response optimization of process parameters in green electrical discharge machining of Ti-6Al-4V alloy”, Materials Today: Proceedings, Vol. 46, No. 1, (2021), 89-98, doi: 10.1016/j.matpr.2020.06.135
  31. Maruschak, P.O., Chausov, M.G., Konovalenko, I.V, Yasnii, O.P., Panin, S.V., Vlasov, I.V. “Effect of Shock and Vibration Loading on the Fracture Mechanisms of a VT23 Titanium Alloy”, Strength of Materials, Vol. 52 (2020), 252-261, doi: 10.1007/s11223-020-00172-z
  32. Deepak, D., Shreyas, D.S., Bhat, S.K., Rao, R.N. “Optimization of material removal rate and surface characterization of wire electric discharge machined Ti-6Al-4V alloy by response surface method”, Manufacturing Review, Vol. 9, No. 15, (2022), 11, doi: 10.1051/mfreview/2022016
  33. Doreswamy, D., Javeri, J. “Effect of Process Parameters in EDM of D2 Steel and Estimation of coefficient for Predicting Surface Roughness”, International Journal of Machining and Machinability of Materials, Vol. 20, (2018), 101-117, doi: 10.1504/IJMMM.2018.090542
  34. Deepak, D., Shrinivas, P., Hemant, G., Iasy, R. “Optimisation of Current and Pulse Duration in Electric Discharge Drilling of D2 Steel Using Graphite Electrode”, International Journal of Automotive and Mechanical Engineering, Vol. 15, (2018), 5914-5926, doi: 10.15282/ijame.15.4.2018.14.0451
  35. Devarajaiah, D., Muthumari, C. “Evaluation of power consumption and MRR in WEDM of Ti–6Al–4V alloy and its simultaneous optimization for sustainable production”, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 40, (2018), 400, doi: 10.1007/s40430-018-1318-y
  36. Deepak, D., Davim, J.P. “Multi-Response Optimization of Process Parameters in AWJ Machining of Hybrid GFRP Composite by Grey Relational Method”, Procedia Manufacturing, Vol. 35, (2019), 1211-1221, doi: 10.1016/j.promfg.2019.07.021