Skip to content

Automated Visual Inspection of Near-Nozzle Droplet-Formation for Quality-Control of Additive Manufacturing (2022-06)

10.1007/978-3-031-06116-5_67

 Bos Derk,  Wolfs Robert
Contribution - Proceedings of the 3rd RILEM International Conference on Concrete and Digital Fabrication, pp. 453-459

Abstract

The formation of droplets near the nozzle exit gives information about the production process and extruded material properties, which can be used for quality control, and process and material optimization. Mass and length of these droplets, or “slugs”, have been measured in previous studies [1, 2]. In this study, the experiment is expanded by including a fully automated visual inspection procedure to calculate the volume of the droplets for all axisymmetric geometry. The method extends the application domain of the experiment since the material can be analyzed when the droplet frequency is high or even without the formation of separate droplets. By measuring the droplet mass in parallel to the volume estimation, the density ofthematerial can be determined when an infrequent slug-by-slug flow exists.

2 References

  1. Ducoulombier Nicolas, Mesnil Romain, Carneau Paul, Demont Léo et al. (2021-05)
    The “Slugs-Test” for Extrusion-Based Additive Manufacturing:
    Protocol, Analysis and Practical Limits
  2. Jacquet Yohan, Picandet Vincent, Rangeard Damien, Perrot Arnaud (2020-07)
    Gravity-Driven Tests to Assess Mechanical Properties of Printable Cement-Based Materials at Fresh State

7 Citations

  1. Sando Mona, Stephan Dietmar (2025-07)
    Online Monitoring for 3D Printable Geopolymers:
    Automated Slug Test Analysis with Image Analysis Revealing Mixing Sequence Effects
  2. 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
  3. 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
  4. Wolfs Robert (2024-09)
    The Status Quo of 3D Concrete Printing:
    Are We There Yet?
  5. Barry Mamadou, Jacquet Yohan, Kachkouch Fatima, Perrot Arnaud (2024-09)
    Instrumentation of the Extruder Nozzle Using Load Cells:
    Towards an In-Line Quality-Control Device for 3D Printed Cement-Based Materials
  6. Bos Derk, Lucas Sandra, Blaakmeer Jan, Salet Theo et al. (2024-09)
    Development of the On-Line Gravity-Induced Compression-Test:
    The Inverse-Slugs-Test
  7. Bos Derk, Wolfs Robert (2023-12)
    A Quality-Control Framework for Digital Fabrication with Concrete

BibTeX 
@inproceedings{bos_wolf.2022.AVIoNNDFfQCoAM,
  author            = "Derk H. Bos and Robert Johannes Maria Wolfs",
  title             = "Automated Visual Inspection of Near-Nozzle Droplet-Formation for Quality-Control of Additive Manufacturing",
  doi               = "10.1007/978-3-031-06116-5_67",
  year              = "2022",
  volume            = "37",
  pages             = "453--459",
  booktitle         = "Proceedings of the 3rd RILEM International Conference on Concrete and Digital Fabrication: Digital Concrete 2022",
  editor            = "Richard A. Buswell and Ana Blanco and Sergio Cavalaro and Peter Kinnell",
}
Formatted Citation

D. H. Bos and R. J. M. Wolfs, “Automated Visual Inspection of Near-Nozzle Droplet-Formation for Quality-Control of Additive Manufacturing”, in Proceedings of the 3rd RILEM International Conference on Concrete and Digital Fabrication: Digital Concrete 2022, 2022, vol. 37, pp. 453–459. doi: 10.1007/978-3-031-06116-5_67.

Bos, Derk H., and Robert Johannes Maria Wolfs. “Automated Visual Inspection of Near-Nozzle Droplet-Formation for Quality-Control of Additive Manufacturing”. In Proceedings of the 3rd RILEM International Conference on Concrete and Digital Fabrication: Digital Concrete 2022, edited by Richard A. Buswell, Ana Blanco, Sergio Cavalaro, and Peter Kinnell, 37:453–59, 2022. https://doi.org/10.1007/978-3-031-06116-5_67.