EDP Sciences logo
Submit your paper
Search
Menu
Home All issues Volume 9 (2022) Manufacturing Rev., 9 (2022) 19 References
Open Access
Issue
Manufacturing Rev.
Volume 9, 2022
Article Number 19
Number of page(s) 11
DOI https://doi.org/10.1051/mfreview/2022018
Published online 29 July 2022
  1. P.J. Liew, C.Y. Yap, J. Wang, T. Zhou, J. Yan, Surface modification and functionalization by electrical discharge coating: a comprehensive review, Int. J. Extrem. Manuf. 2 (2020) 012004 [CrossRef] [Google Scholar]
  2. M.A. Ilani, M. Khoshnevisan, Mathematical and physical modeling of FE-SEM surface quality surrounded by the plasma channel within Al powder-mixed electrical discharge machining of Ti-6Al-4V, Int. J. Adv. Manuf. Technol. 112 (2021) 3263–3277 [CrossRef] [Google Scholar]
  3. A. Taherkhani, M.A. Ilani, F. Ebrahimi et al., Investigation of surface quality in cost of goods manufactured (COGM) method of µ-Al2O3 powder-mixed-EDM process on machining of Ti-6Al-4V, Int. J. Adv. Manuf. Technol. 116 (2021) 1783–1799 [CrossRef] [Google Scholar]
  4. M.A. Ilani, M. Khoshnevisan, Powder mixed-electrical discharge machining (EDM) with the electrode is made by fused deposition modeling (FDM) at Ti-6Al-4V machining procedure, Multiscale Multidiscip. Model. Exp. Des. 3 (2020) 173–186 [CrossRef] [Google Scholar]
  5. M.A. Ilani, M. Khoshnevisan, Study of surfactant effects on intermolecular forces (IMF) in powder-mixed electrical discharge machining (EDM) of Ti-6Al-4V, Int. J. Adv. Manuf. Technol. 116 (2021) 1763–1782 [CrossRef] [Google Scholar]
  6. J. George, R. Chandan, R. Manu et al., Experimental investigation of silicon powder mixed EDM using graphene and CNT nano particle coated electrodes, Silicon 13 (2021) 3835–3851 [CrossRef] [Google Scholar]
  7. N.H. Phan et al., Material removal rate in electric discharge machining with aluminum tool electrode for Ti-6Al-4V titanium alloy, Adv. Eng. Res. Appl. (2020). https://doi.org/10.1007/978-3-030-64719-3_58 [Google Scholar]
  8. N.H. Phan et al., Tool wear rate analysis of uncoated and AlCrNi coated aluminum electrode in EDM for Ti-6Al-4-V titanium alloy, Adv. Eng. Res. Appl. (2020). https://doi.org/10.1007/978-3-030-64719-3_91 [Google Scholar]
  9. U.A. Danade, S.D. Londhe, R.M. Metkar, Machining performance of 3D-printed ABS electrode coated with copper in EDM, Rapid Prototyp. J. 25 (2019) 1224–1231 [CrossRef] [Google Scholar]
  10. Y. Liu, W. Wang, W. Zhang, F. Ma, D. Yang, Z. Sha, S. Zhang, Experimental study on electrode wear of diamond-nickel coated electrode in EDM small hole machining, Adv. Mater. Sci. Eng. (2019) ID 7181237 [Google Scholar]
  11. J. Prasanna, S. Rajamanickam, Investigation of die sinking electrical discharge machining of Ti-6Al-4V using copper and AlO-TiO coated copper electrode, Middle-East J. Sci. Res. 24 (2016) 33–37 [Google Scholar]
  12. T.R. Ablyaz, E.S. Shlykov, S.S. Kremlev, Copper-coated electrodes for electrical discharge machining of 38Х2Н2МА steel, Russian Eng. Res. 37 (2017) 910–911 [CrossRef] [Google Scholar]
  13. K. Karunakaran, M. Chandrasekaran, Investigation of machine-ability of Inconel 800 in EDM with coated electrode, IOP Conf. Series: Mater. Sci. Eng. 183 (2017) 012014 [CrossRef] [Google Scholar]
  14. H. Hanizam, N. Mohamad, U.A.A. Azlan, M. Qamaruddin, Process optimization of EDM cutting process on tool steel using zinc coated electrode, MATEC Web Conf. 97 (2017) 01073 [CrossRef] [EDP Sciences] [Google Scholar]
  15. P. Mandal, S. Chandra Mondal, Performance analysis of copper-based MWCNT composite coated 316L SS tool in electro discharge machining, Mach. Sci. Technol. 25 (2021) 422–437 [CrossRef] [Google Scholar]
  16. Sathyamangalam, T. Nadu, Effect of nichroloy coated electrode on machining performance of electrical discharge machining using Inconel 625, Mater. Today: Proc. 45 (2021) 7894–7900 [CrossRef] [Google Scholar]
  17. A. Arthur, P. Dickens, C. Bocking, R. Cobb, Wear & failure mechanisms for SL EDM electrodes, International Solid Freeform Fabrication Symposium (1996) 175–190 [Google Scholar]
  18. N. Chindaladdha, D. Kaewdook, Performance of electroplated copper coating on graphite electrode in EDM process, TNI J. Eng. Technol. 8 (2020) [Google Scholar]
  19. N.H. Phan, P.V. Dong, T. Mthuramalingam, N.V. Thien, H.T. Dung, T.Q. Hung, N.V. Duc, N.T. Ly, Experimental investigation of uncoated electrode and PVD AlCrNi coating on surface roughness in electrical discharge machining of Ti-6Al-4V, Int. J. Eng. Trans. A: Basics 34 (2021) 928–934 [Google Scholar]
  20. T. Ablyaz, K. Muratov, S.B. Preetkanwal, S.S. Sarabjeet, Experimental investigation of wear resistance of copper coated electrode-tool during electrical discharge machining, IOP Conf. Series: Mater. Sci. Eng. 510 (2019) 012001 [CrossRef] [Google Scholar]
  21. E. Uhlmann, S. Rosiwal, K. Bayerlein, M. Röhner, Influence of grain size on the wear behavior of CVD diamond coatings in micro-EDM, Int. J. Adv. Manuf. Technol. 47 (2010) 919–922 [CrossRef] [Google Scholar]
  22. W. Yuangang, Z. Fuling, W. Jin, Wear-resist electrodes for micro-EDM, Chin. J. Aeronaut. 22 (2009) 339–342 [CrossRef] [Google Scholar]
  23. S.S. Shirguppikar, M.S. Patil, Experimental investigation on micro-electro discharge machining process using tungsten carbide and titanium nitride-coated micro-tool electrode for machining of Ti-6Al-4V, S Adv. S Mater. S Process. Technolog. (2020) DOI: 10.1080/2374068X.2020.1833399 [Google Scholar]
  24. K. Ponappa, K.S.K. Sasikumar, M. Sambathkumar, M. Udhayakumar, Multi-objective optimization of EDM process parameters for machining of hybrid aluminum metal matrix composites (AL7075/TiC/B4C) using genetic algorithm, Surf. Rev. Lett. 26 (2019) 1950071 [CrossRef] [Google Scholar]
  25. M. Kolli, A.V.S. Ram Prasad, D.S. Naresh, Multi-objective optimization of AAJM process parameters for cutting of B4C/Gr particles reinforced Al 7075 composites using RSM-TOPSIS approach, SN Appl. Sci. 3 (2021) 711 [CrossRef] [Google Scholar]
  26. I. Nayak, J. Rana, Multi-response optimization in wire electrical discharge machining (WEDM) of D2 steel using utility approach, Manufactur. Rev. 8 (2021) 16 [CrossRef] [EDP Sciences] [Google Scholar]
  27. P. Antil, S.K. Antil, C. Prakash, G. Królczyk, C. Pruncu, Multi-objective optimization of drilling parameters for orthopaedic implants, Measur. Control 53 (2020) 1902–1910 [CrossRef] [Google Scholar]
  28. R. Manivannan, M. Pradeep Kumar, Multi-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSIS, J. Mech. Sci. Technol. 30 (2016) 137–144 [CrossRef] [Google Scholar]
  29. R. Manivannan, M. Pradeep Kumar, Multi-attribute decision-making ofcryogenically cooled micro-EDM drilling process parameters using TOPSIS method, Mater. Manufactur. Processes 32 (2017) 209–215 [CrossRef] [Google Scholar]
  30. H.-P. Nguyen, N.V. Ngo, Q. Nguyen, Optimizing process parameters in EDM using low frequency vibration for material removal rate and surface roughness, J. King Saud Univ. Eng. Sci. (2020). https://doi.org/10.1016/j.jksues.2020.05.002 [Google Scholar]
  31. N.H. Phan, P. Van Dong, H. Tien Dung, N. Van Thien, T. Muthuramalingam, S. Shirguppikar, N. Chi Tam, N. Trong Ly, Multi-object optimization of EDM by Taguchi-DEAR method using AlCrNi coated electrode, Int. J. Adv. Manuf. Technol. 116 (2021) 1429–1435 [CrossRef] [Google Scholar]
  32. S.O.N. Raj, S. Prabhu, Analysis of multi objective optimisation using TOPSIS method in EDM process with CNT infused copper electrode, Int. J. Mach. Machinabil. Mater. 19 (2017) 76–94 [Google Scholar]
  33. H. Deng, A similarity-based approach to ranking multicriteria alternatives, in Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science , edited by D.S. Huang, L. Heutte, M. Loog (Springer, Berlin, Heidelberg, 2007), 4682 [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.