Skip to main content

Advertisement

Log in

Experimental studies on Wire EDM for surface roughness and kerf width for shape memory alloy

  • Published:
Sādhanā Aims and scope Submit manuscript

Abstract

The present experimental work was carried out on wire electrical discharge machine (WEDM) over NiTi shape memory alloy for biomedical applications. Improving of machineability of intricate profiles in biomaterial applications is a challenging task. The experiments were performed on WEDM by using a brass wire of 0.25 mm diameter, as tool electrode. A range of 4 to 8 ampere of current, range of 60-120 µs of pulse on time, range of 15-45 µs of pulse off time, range of 11-15 cm2/gm of wire tension and range of 4-8 m/min wire feed were selected as input parameters. The influence of these parameters was observed on surface roughness and kerf width during fabrication of rectangular slots. The discharge craters, voids, microcracks and white layer have been observed in machined surface by scanning electron microscopy (SEM). It was observed that at higher values of discharge energy, the recast layer thickness increases. The higher recast layer found is 15.88 at Ip = 8, Ton = 120, Toff = 30, WT = 11, Wf = 4. The performance of responses was analysed by the response surface methodology and artificial neural network modelling. The obtained values of 0.993 and 0.995 from ANN model shows strong correlation between selected parameters. The obtained desirability is 0.957 that presents the developed model and is quite significant for both responses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13

Similar content being viewed by others

References

  1. Manjaiah M, Narendranath S, Basavarajappa S and Gaitonde V N 2014 Wire electric discharge machining characteristics of titanium nickel shape memory alloy. Transactions of Nonferrous Metals Society of China. 24: 3201–3209. https://doi.org/10.1016/S1003-6326(14)63461-0

    Article  Google Scholar 

  2. Lin H C, Lin K M, Chen Y S and Chu C L 2005 The wire electro-discharge machining characteristics of Fe–30Mn–6Si and Fe–30Mn–6Si–5Cr shape memory alloys. Journal of Materials Processing Technology. 161: 435–439. https://doi.org/10.1016/j.jmatprotec.2004.07.079

    Article  Google Scholar 

  3. Manjaiah M, Narendranath S, Basavarajappa S and Gaitonde V N 2015 Effect of electrode material in wire electro discharge machining characteristics of Ti50Ni50− xCux shape memory alloy. Precision Engineering. 41: 68–77. https://doi.org/10.1016/j.precisioneng.2015.01.008

    Article  Google Scholar 

  4. Soni H, Sannayellappa N and Rangarasaiah R M 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. https://doi.org/10.1557/jmr.2017.137

    Article  Google Scholar 

  5. Guo Y, Klink A, Fu C and Snyder J 2013 Machinability and surface integrity of Nitinol shape memory alloy. CIRP Annals. 62: 83–86. https://doi.org/10.1016/j.cirp.2013.03.004

    Article  Google Scholar 

  6. LotfiNeyestanak Ali Akbar and Daneshmand Saeed 2013 The effect of operational cutting parameters on Nitinol-60 in wire electrodischarge machining. Advances in Materials Science and Engineering. https://doi.org/10.1155/2013/457186

    Article  Google Scholar 

  7. Velmurugan C, Senthilkumar V, Dinesh S and Arulkirubakaran D 2018 Machining of NiTi-shape memory alloys-A review. Machining Science and Technology. 22: 355–401. https://doi.org/10.1080/10910344.2017.1365894

    Article  Google Scholar 

  8. Liu J F, Guo Y B, Butler T M and Weaver M L 2016 Crystallography, compositions, and properties of white layer by wire electrical discharge machining of nitinol shape memory alloy. Materials & Design. 109: 1–9. https://doi.org/10.1016/j.matdes.2016.07.063

    Article  Google Scholar 

  9. Abidi M H, Al-Ahmari A M, Umer U and Rasheed M S 2018 Multi-objective optimization of micro-electrical discharge machining of nickel-titanium-based shape memory alloy using MOGA-II. Measurement. 125: 336–349. https://doi.org/10.1016/j.measurement.2018.04.096

    Article  Google Scholar 

  10. Bisaria H and Shandilya P 2019 The machining characteristics and surface integrity of Ni-rich NiTi shape memory alloy using wire electric discharge machining. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 233: 1068–1078. https://doi.org/10.1177/0954406218763447

    Article  Google Scholar 

  11. Rao R V and Kalyankar V D 2014 Optimization of modern machining processes using advanced optimization techniques: a review. The International Journal of Advanced Manufacturing Technology 73: 1159–1188. https://doi.org/10.1007/s00170-014-5894-4

    Article  Google Scholar 

  12. Markopoulos A P, Habrat, W, Galanis N I and Karkalos N E 2016 Modelling and optimization of machining with the use of statistical methods and soft computing. In Design of experiments in production engineering. Springer, Cham. 39-88. https://doi.org/10.1007/978-3-319-23838-8_2

    Article  Google Scholar 

  13. Assarzadeh S and Ghoreishi M 2008 Neural-network-based modeling and optimization of the electro-discharge machining process. Int. J. Adv. Manuf. Technol. 39: 488–500. https://doi.org/10.1007/s00170-007-1235-1

    Article  Google Scholar 

  14. Markopoulos A P, Habrat, W, Galanis N I and Karkalos N E 2016 Modelling and optimization of machining with the use of statistical methods and soft computing. In Design of experiments in production engineering. Springer, Cham. 39-88. https://doi.org/10.1007/978-3-319-23838-8_2

  15. Lin H C, Lin K M and Chen Y C 2000 A study on the machining characteristics of TiNi shape memory alloys. Journal of Materials Processing Technology. 105: 327–332. https://doi.org/10.1016/S0924-0136(00)00656-7

    Article  Google Scholar 

  16. Weinert K, Petzoldt V and Kötter D 2004 Turning and drilling of NiTi shape memory alloys. CIRP Annals. 53: 65–68. https://doi.org/10.1016/S0007-8506(07)60646-5

    Article  Google Scholar 

  17. Kulkarni V N, Gaitonde V N, Nalavade K S, Doddamani M and Naik G M 2020 Optimization of Wire EDM Process Parameters for Medical Grade Nickel Titanium Shape Memory Alloy. Strojnícky časopis-Journal of Mechanical Engineering. 70: 69–80. https://doi.org/10.2478/scjme-2020-0007

    Article  Google Scholar 

  18. Goyal A, Rahman H U and Ghani S A C 2021 Experimental investigation & optimisation of wire electrical discharge machining process parameters for Ni49Ti51 shape memory alloy. Journal of King Saud University-Engineering Sciences. 33: 129–135. https://doi.org/10.1016/j.jksues.2020.01.003

    Article  Google Scholar 

  19. Takale Adik and Nagesh Chougule 2019 Optimization of process parameters of wire electro discharge machining for Ti49.4Ni50.6 shape memory alloys using the Taguchi technique. International Journal of Structural Integrity. https://doi.org/10.1108/IJSI-10-2018-0058

  20. Sharma N, Gupta K and Davim J P 2019 On wire spark erosion machining induced surface integrity of Ni 55.8 Ti shape memory alloys. Archives of Civil and Mechanical Engineering. 19: 680–693. https://doi.org/10.1016/j.acme.2019.02.004

    Article  Google Scholar 

  21. Banu A, Ali M Y, Rahman M A and Konneh M 2020 Stability of micro dry wire EDM: OFAT and DOE method. The International Journal of Advanced Manufacturing Technology. 106: 4247–4261. https://doi.org/10.1007/s00170-020-04923-9

    Article  Google Scholar 

  22. Mehrpouya M, Gisario A, Rahimzadeh A, Nematollahi M Baghbaderani and K S and Elahinia M, 2019 A prediction model for finding the optimal laser parameters in additive manufacturing of NiTi shape memory alloy. The International Journal of Advanced Manufacturing Technology. 105: 4691–4699. https://doi.org/10.1007/s00170-019-04596-z

    Article  Google Scholar 

  23. Takale A M and Chougule N K 2018 Multi-objective optimization of WEDM process parameters of Ti49.4-Ni50.6 shape memory alloy for orthopaedic implant application. Archives of Materials Science and Engineering. 93: http://dx.doi.org/https://doi.org/10.5604/01.3001.0012.6943

  24. Magabe R, Sharma N Gupta and K and Davim J P, 2019 Modeling and optimization of Wire-EDM parameters for machining of Ni55.8Ti shape memory alloy using hybrid approach of Taguchi and NSGA-II. The International Journal of Advanced Manufacturing Technology. 102: 1703–1717. https://doi.org/10.1007/s00170-019-03287-z

    Article  Google Scholar 

  25. Guo Y, Klink A, Fu C and Snyder J 2013 Machinability and surface integrity of nitinol shape memory alloy. CIRP Ann. 62: 83–86. https://doi.org/10.1016/j.cirp.2013.03.004

    Article  Google Scholar 

  26. Markopoulos, A P, I S Pressas and D E Manolakos 2016 Manufacturing processes of shape memory alloys. In: Materials Forming and Machining. 155-180. https://doi.org/10.1016/B978-0-85709-483-4.00007-7

  27. Manjaiah M, Narendranath S and Basavarajappa S 2016 Wire electro discharge machining performance of TiNiCu shape memory alloy. Silicon. 8: 467–475. https://doi.org/10.1007/s12633-014-9273-4

    Article  Google Scholar 

  28. Shandilya P, Jain P K and Jain N K 2016 Modelling and process optimisation for wire electric discharge machining of metal matrix composites. International Journal of Machining and Machinability of Materials 18: 377–391. https://doi.org/10.1504/IJMMM.2016.077713

    Article  Google Scholar 

  29. Henderson E and Buis A 2011 Nitinol for prosthetic and orthotic applications. J. Mater. Eng. Perform. 20: 663–665. https://doi.org/10.1007/s11665-011-9869-4

    Article  Google Scholar 

  30. Machado L and Savi M 2003 Medical applications of shape memory alloys. Braz. J. Med. Biol. Res. 36: 683–691. https://doi.org/10.1590/S0100-879X2003000600001

    Article  Google Scholar 

Download references

Acknowledgement

The authors would like to thank Prof. S.A.C. Ghani, Faculty of Mechanical Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia for guidance. The authors gratefully acknowledge the financial support given by the Malaysian Ministry of Higher Education, Universiti Malaysia Pahang (www.ump.edu.my) and UMP Automotive Engineering Centre (AEC) for Fundamental Research Grants Scheme (FRGS), RDU160135.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to ASHISH GOYAL.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

GOYAL, A., UR RAHMAN, H. Experimental studies on Wire EDM for surface roughness and kerf width for shape memory alloy. Sādhanā 46, 160 (2021). https://doi.org/10.1007/s12046-021-01684-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12046-021-01684-3

Keywords

Navigation