Open Access
Manufacturing Rev.
Volume 8, 2021
Article Number 16
Number of page(s) 6
Published online 04 June 2021
  1. T.A. Spedding, Z.Q. Wang, Parametric optimization and surface characterization of wire electrical discharge machining process, Precis. Eng. 20 (1997) 5–15 [Google Scholar]
  2. B.B. Nayak, S.S. Mahapatra, A utility concept approach for multi-objective optimization of taper cutting operation using WEDM, Procedia Eng. 97 (2014) 469–478 [CrossRef] [Google Scholar]
  3. B. Mathew, B.A. Benkim, J. Babu, Multiple process parameter optimization of WEDM on AISI304 using utility approach, Procedia Mater. Sci. 5 (2014) 1863–1872 [Google Scholar]
  4. A.S. Shivade, V.D. Shinde, Multi-objective optimization in WEDM of D3 tool steel using integrated approach of Taguchi method & Grey relational analysis, J. Ind. Eng. Int. 10 (2014) 149–162 [Google Scholar]
  5. G. Ugrasen, H.V. Ravindra, G.V. Naveen Prakash, Y.N. Theertha Prasad, Optimization of process parameters in wire EDM of HCHCr material using Taguchi's technique, Mater. Today Proc. 2 (2015) 2443–2452 [Google Scholar]
  6. A. Conde, J.A. Sanchez, S. Plaza, J.M. Ramos, On the influence of wire-lag on the WEDM of low-radius free-form geometries, Proc. CIRP 42 (2016) 274–279 [Google Scholar]
  7. U.A. Dabade, S.S. Karidkar, Analysis of response variables in WEDM of Inconel 718 using Taguchi technique, Proc. CIRP 41 (2016) 886–891 [Google Scholar]
  8. M.P. Garg, A. Sharma, Examination of accuracy aspect in machining of ZrSiO 4p /6063 aluminium MMC using CNC wire electrical discharge machining, Compos. Commun. 6 (2017) 6–10 [Google Scholar]
  9. Y. Zhang et al., Study on thermal deformation behavior and microstructural characteristics of wire electrical discharge machining thin-walled components, J. Manuf. Process. 31 (2018) 9–19 [Google Scholar]
  10. K. Mouralova, J. Kovar, L. Klakurkova, J. Bednar, L. Benes, R. Zahradnicek, Analysis of surface morphology and topography of pure aluminium machined using WEDM, Meas. J. Int. Meas. Confed. 114 (2018) 169–176 [Google Scholar]
  11. R. Chaudhari, J.J. Vora, S.S.M. Prabu, I.A. Palani, V.K. Patel, D.M. Parikh, Pareto optimization of WEDM process parameters for machining a NiTi shape memory alloy using a combined approach of RSM and heat transfer search algorithm, Adv. Manuf. 9 (2021) 64–80 [Google Scholar]
  12. M. Ehsan Asgar, A.K. Singh Singholi, Parameter study and optimization of WEDM process: a review, IOP Conf. Ser. Mater. Sci. Eng. 404 (2018) [Google Scholar]
  13. A. Gnanavelbabu, P. Saravanan, K. Rajkumar, S. Karthikeyan, R. Baskaran, Optimization of WEDM process parameters on multiple responses in cutting of Ti-6Al-4V, Mater. Today Proc. 5 (2018) 27072–27080 [Google Scholar]
  14. M. Subrahmanyam, T. Nancharaiah, Optimization of process parameters in wire-cut EDM of Inconel 625 using Taguchi's approach, Mater. Today Proc. 23 (2020) 642–646 [Google Scholar]
  15. A. Ramaswamy, A.V. Perumal, J. Jagadeesan, H.V. Nagarajan, Optimization of WEDM process parameters for D3 die steel using RSM, Mater. Today Proc. 37 (2021) 2063–2069 [Google Scholar]
  16. V. Kavimani, K. Soorya Prakash, T. Thankachan, Multi-objective optimization in WEDM process of graphene − SiC-magnesium composite through hybrid techniques, Meas. J. Int. Meas. Confed. 145 (2019) 335–349 [Google Scholar]
  17. H. Singh, V. Kumar, J. Kapoor, Optimization of WEDM process parameters in machining Nimonic 75 alloy using brass wire, Multidiscip. Model. Mater. Struct. 16 (2020) 1189–1202 [Google Scholar]
  18. M. Priyadarshini, A. Behera, C. Kumar Biswas, B. Swain, S. Patel, Multi-objective optimization of WEDM process by hybrid methodology, Mater. Today Proc. 33 (2020) 5511–5513 [Google Scholar]
  19. I. Nayak, J. Rana, Precision multi-response optimization of performance characteristics in wire-cut electric discharge machining (WEDM) process, J. Mech. Eng. 17 (2020) 39–54 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.