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Modeling and optimization of Wire-EDM parameters for machining of Ni55.8Ti shape memory alloy using hybrid approach of Taguchi and NSGA-II

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Abstract

In the present research, Ni55.8Ti shape memory alloy has been machined by wire electric discharge machining (wire-EDM) process. The effects of input parameters such as spark gap voltage, pulse on-time, pulse off-time, and wire feed on productivity, i.e., metal removal rate (MRR) and surface quality, i.e., mean roughness depth (Rz), have been investigated. Empirical modeling and ANOVA study have been done after conducting 16 experiments based on Taguchi’s L16 design of experiment technique. Ranking and crowding distance–based non-dominated sorting algorithm-II (NSGA-II) is used for process optimization. The error percentage varies within ± 6% between experimental results and the predicted results developed by NSGA-II. It has been observed that the wire-EDM machining of Ni55.8Ti alloy at optimum parameters resulted in improved MRR —0.021 g/min—and surface quality with good surface finish (Rz—6.2 μm) and integrity as significant reduction in the formation of cracks, lumps, and deposited layers.

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References

  1. Jani JM, Leary M, Subic A, Gibson MA (2014) A review of shape memory alloy research, applications and opportunities. Mater Des 56:1078–1113

    Article  Google Scholar 

  2. Markopoulos AP, Pressas IS, Manolakos DE (2016) Chapter 7 Manufacturing Processes of Shape Memory Alloys in JP Davim Eds, Materials Forming and Machining, Elsevier, 155–180

  3. Mehta K, Gupta K (2019) Fabrication and processing of shape memory alloys. Springer- Switzerland

  4. Yokoyama K, Hamada K, Moriyama K, Asaoka K (2001) Degradation and fracture of Ni-Ti superelastic wire in an oral cavity. Biomaterials 22:2257–2262

    Article  Google Scholar 

  5. Guo Y, Klink A, Fu C, Snyder J (2013) Machinability and surface integrity of nitinol shape memory alloy. CIRP Ann 62:83–86

    Article  Google Scholar 

  6. Gao S, Huang H (2017) Recent advances in micro- and nano-machining technologies. Front Mech Eng 12:18–32

    Article  Google Scholar 

  7. Rajurkar KP, Sundaram MM, Malshe AP (2013) Review of electrochemical and electrodischarge machining. Procedia CIRP 6:13–26

    Article  Google Scholar 

  8. Gupta K, Jain NK (2016) Chapter-2 “Overview of wire spark erosion machining”, In Near Net Shape Manufacturing of Miniature Spur Gears, Springer

  9. Manjaiah M, Laubscher RF, Narendranath S, Basavarajappa S, Gaitonde VN (2016) Evaluation of wire electro discharge machining characteristics of Ti50Ni50-xCux shape memory alloys. J Mater Res 31:1801–1808

    Article  Google Scholar 

  10. Manjaiah M, Narendranath S, Basavarajappa S, Gaitonde VN (2015) Effect of electrode material in wire electro discharge machining characteristics of Ti50Ni50-xCux shape memory alloy. Precis Eng 41:68–77

    Article  Google Scholar 

  11. Sharma N, Raj T, Jangra KK (2017) Parameter optimization and experimental study on wire electrical discharge machining of porous Ni40Ti60 alloy. Proc IMechE Part B: J Eng Manuf 231:956–970. https://doi.org/10.1177/0954405415577710

    Article  Google Scholar 

  12. Soni H, Narendranath S, Rangarasaiah RM (2017) An experimental study of influence of wire electro discharge machining parameters on surface integrity of TiNiCo shape memory alloy. J Mater Res 32:3100–3108

    Article  Google Scholar 

  13. Bisaria H, Shandilya P (2018) The machining characteristics and surface integrity of Ni-rich NiTi shape memory alloy using wire electric discharge. Proc IMechE Part C: J Mech Eng. https://doi.org/10.1177/0954406218763447

  14. Bhushan B (2013) Introduction to tribology. Wiley and Sons, New York

    Book  Google Scholar 

  15. Petropoulos GP, Pandazaras CN, Davim JP (2010) Surface texture characterization and evaluation related to machining. In: Surface integrity in machining. Springer, London, pp 37–66

    Chapter  Google Scholar 

  16. Montgomery DC (2009) Design and analysis of experiments, 7th edn. John Willey & Sons, New Delhi

    Google Scholar 

  17. Tonday HR, Tigga AM (2016) Analysis of effects of cutting parameters of wire electrical discharge machining on material removal rate and surface integrity. IOP Conf Ser: Mater Sci Eng 115:012013

    Article  Google Scholar 

  18. Mouralova K, Kovar J, Klakurkova L, Prokes T, Horynova H (2017) Comparison of morphology and topography of surfaces of WEDM machined structural materials. Measurement 104:12–20

    Article  Google Scholar 

  19. Mouralova K, Matousek R, Kovar J, Mach J, Klakurkova L, Bednar J (2016) Analyzing the surface layer after WEDM depending on the parameters of a machine for the 16MnCr5 steel. Measurement 94:771–779

    Article  Google Scholar 

  20. Sahoo AK, Pradhan S (2013) Modeling and optimization of Al/SiCpMMC machining using Taguchi approach. Measurement 46:3064–3072

    Article  Google Scholar 

  21. Srinivas N, Deb K (1994) Multi objective optimization using non-dominated sorting algorithm. Evol Comput 2:241–248

    Article  Google Scholar 

  22. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE T Evolut Comput 6:182–197

    Article  Google Scholar 

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Acknowledgements

This research work is supported by URC 2018/19 grant of University of Johannesburg.

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Correspondence to Kapil Gupta.

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Magabe, R., Sharma, N., Gupta, K. et al. Modeling and optimization of Wire-EDM parameters for machining of Ni55.8Ti shape memory alloy using hybrid approach of Taguchi and NSGA-II. Int J Adv Manuf Technol 102, 1703–1717 (2019). https://doi.org/10.1007/s00170-019-03287-z

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  • DOI: https://doi.org/10.1007/s00170-019-03287-z

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