EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 406 (2024) MATEC Web Conf., 406 (2024) 05011 References
Open Access
Issue
MATEC Web Conf.
Volume 406, 2024
2024 RAPDASA-RobMech-PRASA-AMI Conference: Unlocking Advanced Manufacturing - The 25th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, hosted by Stellenbosch University and Nelson Mandela University
Article Number 05011
Number of page(s) 18
Section Process Development
DOI https://doi.org/10.1051/matecconf/202440605011
Published online 09 December 2024
  1. J.J. Beaman, D.L. Bourell, C.C. Seepersad, D. Kovar, Manuf Sci Eng 142 (2020). [Google Scholar]
  2. ASTM, Standard Terminology for Additive Manufacturing Technologies, Standard F2792-09, ASTM, US, (2009). [Google Scholar]
  3. S. Mohd Yusuf, S. Cutler, N. Gao, Metals (Basel) 9 1286 (2019). [CrossRef] [Google Scholar]
  4. J.C. Vasco, Additive manufacturing for the automotive industry, in: Addit Manuf, Elsevier, pp. 505–530 (2021). [CrossRef] [Google Scholar]
  5. A.Y. Al-Maharma, S.P. Patil, B. Markert, Mater Res Express 7 122001 (2020). [CrossRef] [Google Scholar]
  6. A. du Plessis, I. Yadroitsava, I. Yadroitsev, Mater Des 187 108385 (2020). [CrossRef] [Google Scholar]
  7. X. Wang, L. Zhao, J.Y.H. Fuh, H.P. Lee, Polymers (Basel) 11 (2019). [Google Scholar]
  8. S. Wang, J. Ning, L. Zhu, Z. Yang, W. Yan, Y. Dun, P. Xue, P. Xu, S. Bose, A. Bandyopadhyay, Materials Today 59 133–160 (2022). [CrossRef] [Google Scholar]
  9. T. Ledwaba, B. Mbuyisa, B. Blakey-Milner, C. Steenkamp, A. Du Plessis, X-ray computed tomography vs Archimedes method: a head-to-head comparison, MATEC Web of Conferences 388 08002 (2023). [CrossRef] [EDP Sciences] [Google Scholar]
  10. A. du Plessis, I. Yadroitsev, I. Yadroitsava, S.G. Le Roux, 3D Print Addit Manuf 5 227–247 (2018). [CrossRef] [Google Scholar]
  11. A. Thompson, I. Maskery, R.K. Leach, Meas Sci Technol 27 (2016) 072001. [CrossRef] [Google Scholar]
  12. A. du Plessis, M. Tshibalanganda, S.G. le Roux, Mater Today Commun 22 100792 (2020). [CrossRef] [Google Scholar]
  13. D. Iuso, S. Chatterjee, S. Cornelissen, D. Verhees, J. De Beenhouwer, J. Sijbers, Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks, (2023). http://arxiv.org/abs/2305.07894. [Google Scholar]
  14. V.W.H. Wong, M. Ferguson, K.H. Law, Y.-T.T. Lee, P. Witherell, Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net, (2021). [Google Scholar]
  15. O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, in: N. Navab, J. Hornegger, W.M. Wells, A.F. Frangi (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Springer International Publishing, Cham, pp. 234–241 (2015). [Google Scholar]
  16. K. Moore, D. Kouprianoff, D. Louw, I. Yadroitsava, I. Yadroitsev, Monitoring for cracks in metal L-PBF using gas-borne acoustic emission, South African Journal of Industrial Engineering 34 (2023). [Google Scholar]
  17. A. du Plessis, S.G. le Roux, A. Guelpa, Nucl Instrum Methods Phys Res B 384 42–49 (2016). [CrossRef] [Google Scholar]
  18. S.L. Bangare, A. Dubal, P.S. Bangare, S.T. Patil, International Journal of Applied Engineering Research 10 21777–21783 (2015). [CrossRef] [Google Scholar]
  19. R. Schielein, S. Schröpfer, M. Kiunke, S. Zabler, S. Kasperl, Quantitative evaluation of CT Images by means of Shannon Entropy, n.d. www.ndt.net/?id=16627. [Google Scholar]
  20. A.-F. Obaton, Y. Gaillard, P. Bouvet, O. Guiraud, S. Genot, L. Gay, E-Journal of Nondestructive Testing 28 (2023). [Google Scholar]
  21. T.Y. Goh, S.N. Basah, H. Yazid, M.J. Aziz Safar, F.S. Ahmad Saad, Measurement 114 298–307 (2018). [CrossRef] [Google Scholar]
  22. S.U. Lee, S. Yoon Chung, R.H. Park, Comput Vis Graph Image Process 52 171–190 (1990). [CrossRef] [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.