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Digital Twinning in Additive Manufacturing (2023-09)

Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models

10.1007/978-3-031-35399-4_34

 Slepicka Martin,  Mawas Karam,  Borrmann André,  Maboudi Mehdi,  Gerke Markus
Contribution - Advances in Information Technology in Civil and Building Engineering, pp. 459-478

Abstract

As part of the digitization of the AEC industry, the Digital Twin concept is becoming increasingly important. Originating in the manufacturing industry, the concept at its core involves a bidirectional coupling of the physical product and its digital counterpart with the aim of keeping the two in sync. Without appropriate capabilities to realize such synchronization, the concept always remained as an unattainable vision for the AEC industry. Adapting additive manufacturing (AM) for construction, however, creates unique opportunities to realize this vision by enabling automation in both directions, from digital to physical product and vice versa. As a fully automatable manufacturing method where robotic processes are typically controlled by the digital representation of the product, AM realizes the digital-to-physical link for this purpose. Conversely, based on the same digital representation of the product, the acquisition of the physical implementation of the manufacturing process can be automated, enabling the physical-to-digital connection. This paper uses three AM application scenarios to illustrate, on the one hand, the need for automating quality control and, on the other hand, to describe approaches for its realization. In particular, the benefits of synergy between automated quality control (QC) and fabrication information modeling (FIM) to form a digital-physical-digital loop are explored.

10 References

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7 Citations

  1. Sawicki Bartłomiej, Düking Peter, Placzek Gerrit, Masur Lukas et al. (2026-01)
    Human-Robot Collaboration in Digital Fabrication with Concrete:
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    A Review on Geometry and Surface Inspection in 3D Concrete Printing
  3. Versteege Jelle, Wolfs Robert, Salet Theo (2025-06)
    Data-Driven Additive Manufacturing with Concrete - Enhancing In-Line Sensory Data with Domain Knowledge:
    Part II: Moisture and Heat
  4. Dörrie Robin, Gantner Stefan, Amiri Fatemeh, Lachmayer Lukas et al. (2025-04)
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  5. Versteege Jelle, Wolfs Robert, Salet Theo (2025-02)
    Data-Driven Additive Manufacturing with Concrete - Enhancing In-Line Sensory Data with Domain Knowledge:
    Part I: Geometry
  6. Slepicka Martin, Borrmann André (2024-09)
    Fabrication Information Modeling for Closed-Loop Design and Quality Improvement in Additive Manufacturing for Construction
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    On-Line and In-Line Quality-Assessment Across All Scale Levels of 3D Concrete Printing

BibTeX
@inproceedings{slep_mawa_borr_mabo.2024.DTiAM,
  author            = "Martin Slepicka and Karam Mawas and André Borrmann and Mehdi Maboudi and Markus Gerke",
  title             = "Digital Twinning in Additive Manufacturing: Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models",
  doi               = "10.1007/978-3-031-35399-4_34",
  year              = "2024",
  volume            = "357",
  pages             = "459--478",
  booktitle         = "Advances in Information Technology in Civil and Building Engineering",
  editor            = "Sebastian Skatulla and Hans Beushausen",
}
Formatted Citation

M. Slepicka, K. Mawas, A. Borrmann, M. Maboudi and M. Gerke, “Digital Twinning in Additive Manufacturing: Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models”, in Advances in Information Technology in Civil and Building Engineering, 2024, vol. 357, pp. 459–478. doi: 10.1007/978-3-031-35399-4_34.

Slepicka, Martin, Karam Mawas, André Borrmann, Mehdi Maboudi, and Markus Gerke. “Digital Twinning in Additive Manufacturing: Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models”. In Advances in Information Technology in Civil and Building Engineering, edited by Sebastian Skatulla and Hans Beushausen, 357:459–78, 2024. https://doi.org/10.1007/978-3-031-35399-4_34.