EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 74 (2025) ITM Web Conf., 74 (2025) 03010 References
Open Access
Issue
ITM Web Conf.
Volume 74, 2025
International Conference on Contemporary Pervasive Computational Intelligence (ICCPCI-2024)
Article Number 03010
Number of page(s) 12
Section Engineering, Smart Systems, and Optimization
DOI https://doi.org/10.1051/itmconf/20257403010
Published online 20 February 2025
  1. A. Behera, “Additive Manufacturing Materials,” Advanced Materials: An Introduction to Modern Materials Science, pp. 667–700, 2022. [CrossRef] [Google Scholar]
  2. B. Karaş, P. J. Smith, J. P. A. Fairclough, and K. Mumtaz, “Additive manufacturing of high density carbon fibre reinforced polymer composites,” Additive Manufacturing, vol. 58, p. 103044, 2022. [CrossRef] [Google Scholar]
  3. C. Ferro, R. Grassi, C. Seclì, and P. Maggiore, “Additive manufacturing offers new opportunities in UAV research,” Procedia CIRP, vol. 41, pp. 1004–1010, 2016. [CrossRef] [Google Scholar]
  4. I. Gibson, D. Rosen, B. Stucker, and M. Khorasani, Additive manufacturing technologies. Springer, 2014. [Google Scholar]
  5. S. Mellor, L. Hao, and D. Zhang, “Additive manufacturing: A framework for implementation,” International journal of production economics, vol. 149, pp. 194–201, 2014. [CrossRef] [Google Scholar]
  6. L. J. Kumar and C. K. Nair, “Current trends of additive manufacturing in the aerospace industry,” in Advances in 3D printing & additive manufacturing technologies: Springer, 2017, pp. 39–54. [CrossRef] [Google Scholar]
  7. S. R. Rajpurohit and H. K. Dave, “Effect of process parameters on tensile strength of FDM printed PLA part,” Rapid Prototyping Journal, 2018. [Google Scholar]
  8. M. Hikmat, S. Rostam, and Y. M. Ahmed, “Investigation of tensile property-based Taguchi method of PLA parts fabricated by FDM 3D printing technology,” Results in Engineering, vol. 11, p. 100264, 2021. [CrossRef] [Google Scholar]
  9. V. Vijayaraghavan, A. Garg, J. S. L. Lam, B. Panda, and S. S. Mahapatra, “Process characterisation of 3D-printed FDM components using improved evolutionary computational approach,” The International Journal of Advanced Manufacturing Technology, vol. 78, pp. 781–793, 2015. [CrossRef] [Google Scholar]
  10. J. O. Rawlings, S. G. Pantula, and D. A. Dickey, Applied regression analysis: a research tool. Springer Science & Business Media, 2001. [Google Scholar]
  11. F. Rayegani and G. C. Onwubolu, “Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE),” The International Journal of Advanced Manufacturing Technology, vol. 73, pp. 509–519, 2014. [CrossRef] [Google Scholar]
  12. M. Ramesh and K. Panneerselvam, “Mechanical investigation and optimization of parameter selection for Nylon material processed by FDM,” Materials Today: Proceedings, vol. 46, pp. 9303–9307, 2021. [CrossRef] [Google Scholar]
  13. C. Camposeco-Negrete, “Optimization of FDM parameters for improving part quality, productivity and sustainability of the process using Taguchi methodology and desirability approach,” Progress in Additive Manufacturing, vol. 5, no. 1, pp. 59–65, 2020. [CrossRef] [Google Scholar]
  14. R. Darbar and P. M. Patel, “Optimization of fused deposition modeling process parameter for better mechanical strength and surface roughness,” International Journal of Mechanical Engineering, vol. 6, pp. 7–18, 2017. [Google Scholar]
  15. H. Kumar, A. Sharma, Y. Shrivastava, S. A. Khan, and P. K. Arora, “Optimization of process parameters of pin on disc wear set up for 3D printed specimens,” Journal of Engg. Research EMSME Special Issue pp, vol. 133, p. 145, 2021. [Google Scholar]
  16. A. Dey and N. Yodo, “A systematic survey of FDM process parameter optimization and their influence on part characteristics. J Manuf Mater Process 2019; 3,” ed. [Google Scholar]
  17. S. Naik, S. R. Das, and D. Dhupal, “Analysis, predictive modelling and multi-response optimization in electrical discharge machining of Al-22% SiC metal matrix composite for minimization of surface roughness and hole overcut,” Manufacturing Review, vol. 7, p. 20, 2020. [CrossRef] [EDP Sciences] [Google Scholar]
  18. S. Naik, S. R. Das, and D. Dhupal, “Analysis, predictive modelling and multi-response optimization in electrical discharge machining of Al-22% SiC metal matrix composite for minimization of surface roughness and hole overcut,” Manufacturing Review, vol. 7, no. 20, 2020. [CrossRef] [EDP Sciences] [Google Scholar]
  19. P. Thangavel, V. Selladurai, and R. Shanmugam, “Application of response surface methodology for predicting flank wear in turning operation,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 220, no. 6, pp. 997–1003, 2006. [CrossRef] [Google Scholar]
  20. Y. Shrivastava and B. Singh, “Assessment of stable cutting zone in CNC turning based on empirical mode decomposition and genetic algorithm approach,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 232, no. 20, pp. 3573–3594, 2017, doi: 10.1177/0954406217740163. [Google Scholar]
  21. T. Ramkumar, P. Narayanasamy, M. Selvakumar, and P. Balasundar, “Effect of B4C reinforcement on the dry sliding wear behaviour of Ti-6Al-4V/B4C sintered composites using response surface methodology,” Archives of Metallurgy and Materials, 2018. [Google Scholar]
  22. M. Moradi and H. Arabi, “Experimental modeling of laser surface hardening process of AISI410 by Response Surface Methodology,” Modares Mechanical Engineering, vol. 18, no. 3, pp. 179–188, 2018. [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.