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Towards individualized shoes: Deep learning-based fault detection for 3D printed footwear


Authors

  • Kreutz, M.
  • Böttjer, A.
  • Trapp, M.
  • Lütjen, M.
  • Freitag, M.

Meta information [BibTeX]

  • Year: 2022, Reviewed
  • Carpanzano, E. and Boër, C. and Valente, A. (Editors)
  • In: Procedia CIRP
  • Subtitle: Leading manufacturing systems transformation – Proceedings of the 55th CIRP Conference on Manufacturing Systems 2022
  • Conference: 55th CIRP Conference on Manufacturing Systems 2022 (CIRP CMS 2022) in Lugano, Switzerland (June 29, 2022 - July 01, 2022)
  • Series: Procedia CIRP, Vol. 107
  • Publisher: Elsevier, Amsterdam, NL
  • Pages: 196-201
  • DOI: 10.1016/j.procir.2022.04.033



Arbeitsgruppe BIBA



Kreutz, M.; Böttjer, A.; Trapp, M.; Lütjen, M.; Freitag, M.
Towards individualized shoes: Deep learning-based fault detection for 3D printed footwear
In: Carpanzano, E.; Boër, C.; Valente, A. (eds.): Procedia CIRP. Leading manufacturing systems transformation – Proceedings of the 55th CIRP Conference on Manufacturing Systems 2022. Elsevier, Amsterdam, NL, 2022, pp. 196-201
(Workgroup: BIBA)
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