Open Access
Issue
E3S Web Conf.
Volume 552, 2024
16th International Conference on Materials Processing and Characterization (ICMPC 2024)
Article Number 01030
Number of page(s) 11
DOI https://doi.org/10.1051/e3sconf/202455201030
Published online 23 July 2024
  1. Smith, R., G. Lewi, and D. Yates, Development and application of nickel alloys in aerospace engineering. Aircraft engineering and aerospace technology, 2001. 73(2): p. 138-147. [CrossRef] [Google Scholar]
  2. Rao, M.S., A.V.N. Babu, and N. Venkaiah, Modified flower pollination algorithm to optimize WEDM parameters while machining inconel-690 alloy. Materials Today: Proceedings, 2018. 5(2): p. 7864-7872. [CrossRef] [Google Scholar]
  3. Manoj, I., et al. Investigation of machining parameters on corner accuracies for slant type taper triangle shaped profiles using WEDM on Hastelloy X. in IOP Conference Series: Materials Science and Engineering. 2019. IOP Publishing. [Google Scholar]
  4. Selvakumar, G., et al., Enhancing die corner accuracy through trim cut in WEDM. The International Journal of Advanced Manufacturing Technology, 2016. 83(5): p. 791-803. [CrossRef] [Google Scholar]
  5. Kumar, A., et al., Soft Computing Based Parametric Optimization of Cutting Rate, Surface Roughness, and Kerf Width in Wire Electric Discharge Machining of High Strength Ti-3Al-2.5 V. Experimental Techniques, 2023: p. 1-22. [Google Scholar]
  6. Ehsan Asgar, M. and A.K. Singh Singholi. Parameter study and optimization of WEDM process: A Review. in Iop conference series: Materials science and engineering. 2018. IOP Publishing. [Google Scholar]
  7. Ramakrishnan, R. and L. Karunamoorthy, Modeling and multi-response optimization of Inconel 718 on machining of CNC WEDM process. Journal of materials processing technology, 2008. 207(1-3): p. 343-349. [CrossRef] [Google Scholar]
  8. Sibalija, T.V., et al., A soft computing-based study on WEDM optimization in processing Inconel 625. Neural Computing and Applications, 2021. 33(18): p. 11985-12006. [CrossRef] [Google Scholar]
  9. Tarng, Y., S. Ma, and L. Chung, Determination of optimal cutting parameters in wire electrical discharge machining. International Journal of Machine Tools and Manufacture, 1995. 35(12): p. 1693-1701. [CrossRef] [Google Scholar]
  10. Yusoff, Y., et al., Potential ANN prediction model for multiperformances WEDM on Inconel 718. Neural Computing and Applications, 2018. 30: p. 2113-2127. [CrossRef] [Google Scholar]
  11. Shandilya, P., A.K. Rouniyar, and D. Saikiran, Multi-objective parametric optimization on machining of Inconel-825 using wire electrical discharge machining. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020. 234(20): p. 4056-4068. [CrossRef] [Google Scholar]
  12. J. Tapadar, R.T.P.C.S.K.T.S.S., Modeling of WEDM Parameters while Machining Mg-SiC Metal Matrix Composite. International Journal of Technology, 2017. 8(5): p. 291319. [Google Scholar]
  13. Mandal, K., et al., Experimental investigation of process parameters in WEDM of Al 7075 alloy. Manufacturing Review, 2020. 7: p. 30. [CrossRef] [EDP Sciences] [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.