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Monitoring of 3D Concrete Printing Quality Through Multi-View RGB-D Images (2024-06)

10.22260/isarc2024/0127

Zaki Ahmed, Carnevale Marco, Giberti Hermes, Schlette Christian
Contribution - Proceedings of the 41st International Symposium on Automation and Robotics in Construction

Abstract

Large-scale 3D printing using concrete is a promising technology in the construction industry. In recent years, with the introduction of new commercial products and some realworld building projects, 3D concrete printing is moving from experimental and lab-scale applications towards regular construction operations in the field. In this paper, a solution for quality monitoring of 3D concrete printed structures after printing is shown. The solution is based on the use of multiview RGB-D images captured using a low-cost stereo-depth camera. The objects considered in the paper are 3D printed using a gantry 3D concrete printer. The object scanning process is described. Then the 3D reconstruction of the printed structure3Dmodel is explained. Finally, aquality assessment technique to evaluate the accuracy of the printed structure is introduced. This technique to quantify the printing error, compares the reconstructed 3D model of the actual state of the print and the CAD model used in the printing planning.

5 References

  1. Buswell Richard, Xu Jie, Becker Daniel, Dobrzanski James et al. (2022-04)
    Geometric Quality Assurance for 3D Concrete Printing and Hybrid Construction Manufacturing Using a Standardised Test Part for Benchmarking Capability
  2. Ma Guowei, Buswell Richard, Silva Wilson, Wang Li et al. (2022-03)
    Technology Readiness:
    A Global Snapshot of 3D Concrete Printing and the Frontiers for Development
  3. Siddika Ayesha, Mamun Md., Ferdous Wahid, Saha Ashish et al. (2019-12)
    3D Printed Concrete:
    Applications, Performance, and Challenges
  4. Wi Kwangwoo, Suresh Vignesh, Wang Kejin, Li Beiwen et al. (2019-12)
    Quantifying Quality of 3D Printed Clay Objects Using a 3D Structured Light Scanning System
  5. Xu Jie, Buswell Richard, Kinnell Peter, Biro Istvan et al. (2020-06)
    Inspecting Manufacturing Precision of 3D Printed Concrete Parts Based on Geometric Dimensioning and Tolerancing

3 Citations

  1. Benz Hendrik, Nguyen Trong The, Klemt-Albert Katharina (2025-11)
    Real-Time Vision-Based Defect Detection for Large-Scale on-Site Earthen Additive Manufacturing:
    Annotated Dataset and Dual-Model Framework
  2. Banijamali Kasra, Martin Michael, Mascarenas David, Kazemian Ali (2025-11)
    Automated Inspection in Robotic 3D Printing:
    In-Process Geometrical Measurements Using Structured Light Machine Vision
  3. Kim Yoon-Chul, Han Tong-Seok (2025-10)
    Buildability Analysis in 3D Concrete Printing Using Computer Vision and Automated Annotation

BibTeX 
@inproceedings{zaki_carn_gibe_schl.2024.Mo3CPQTMVRDI,
  author            = "Ahmed Magdy Ahmed Zaki and Marco Carnevale and Hermes Giberti and Christian Schlette",
  title             = "Monitoring of 3D Concrete Printing Quality Through Multi-View RGB-D Images",
  doi               = "10.22260/isarc2024/0127",
  year              = "2024",
  booktitle         = "Proceedings of the 41st International Symposium on Automation and Robotics in Construction",
  editor            = "Vincente Gonzalez-Moret and Jiansong Zhang and Borja García de Soto and Ioannis Brilakis",
}
Formatted Citation

A. M. A. Zaki, M. Carnevale, H. Giberti and C. Schlette, “Monitoring of 3D Concrete Printing Quality Through Multi-View RGB-D Images”, in Proceedings of the 41st International Symposium on Automation and Robotics in Construction, 2024. doi: 10.22260/isarc2024/0127.

Zaki, Ahmed Magdy Ahmed, Marco Carnevale, Hermes Giberti, and Christian Schlette. “Monitoring of 3D Concrete Printing Quality Through Multi-View RGB-D Images”. In Proceedings of the 41st International Symposium on Automation and Robotics in Construction, edited by Vincente Gonzalez-Moret, Jiansong Zhang, Borja García de Soto, and Ioannis Brilakis, 2024. https://doi.org/10.22260/isarc2024/0127.