Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing

Derk H. Bos; Rob J.M. Wolfs

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

Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing

Derk H. Bos, Rob J.M. Wolfs

Concrete Structures

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

6 Downloads (Pure)

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 of the material can be determined when an infrequent slug-by-slug flow exists.

Original language	English
Title of host publication	Third RILEM International Conference on Concrete and Digital Fabrication
Subtitle of host publication	Digital Concrete 2022
Publisher	Springer
Pages	453-459
Number of pages	7
ISBN (Electronic)	978-3-031-06116-5
ISBN (Print)	978-3-031-06115-8
DOIs	https://doi.org/10.1007/978-3-031-06116-5_67
Publication status	Published - 25 Jun 2022
Event	Third RILEM International Conference on Concrete and Digital Fabrication - Loughborough University, Loughborough, United Kingdom Duration: 25 Jun 2022 → 29 Jun 2022 Conference number: 3 https://www.digitalconcrete2022.com/

Publication series

Name	RILEM Bookseries
Publisher	Springer
Volume	37
ISSN (Print)	2211-0844
ISSN (Electronic)	2211-0852

Conference

Conference	Third RILEM International Conference on Concrete and Digital Fabrication
Abbreviated title	DC2022
Country/Territory	United Kingdom
City	Loughborough
Period	25/06/22 → 29/06/22
Internet address	https://www.digitalconcrete2022.com/

Funding

Acknowledgments. The authors would like to thank Saint-Gobain Weber Beamix for the financial support to conduct this research and to acknowledge the contribution to the test setup development of Vincent Staat, Mathijs Vervoort, Job Niessen, Arjen Deetman, and Eric Wijen.

Keywords

Additive manufacturing
Automation
Extensional gravity-rheometry
Machine vision
Quality control
Slugs test

Access to Document

10.1007/978-3-031-06116-5_67Licence: Other

Cite this

@inproceedings{2526612acf0741b18778f801810bfa1a,

title = "Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing",

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 of the material can be determined when an infrequent slug-by-slug flow exists.",

keywords = "Additive manufacturing, Automation, Extensional gravity-rheometry, Machine vision, Quality control, Slugs test",

author = "Bos, {Derk H.} and Wolfs, {Rob J.M.}",

year = "2022",

month = jun,

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language = "English",

isbn = "978-3-031-06115-8",

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publisher = "Springer",

pages = "453--459",

booktitle = "Third RILEM International Conference on Concrete and Digital Fabrication",

address = "Germany",

note = "Third RILEM International Conference on Concrete and Digital Fabrication, DC2022 ; Conference date: 25-06-2022 Through 29-06-2022",

url = "https://www.digitalconcrete2022.com/",

}

Bos, DH & Wolfs, RJM 2022, Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing. in Third RILEM International Conference on Concrete and Digital Fabrication: Digital Concrete 2022. RILEM Bookseries, vol. 37, Springer, pp. 453-459, Third RILEM International Conference on Concrete and Digital Fabrication, Loughborough, United Kingdom, 25/06/22. https://doi.org/10.1007/978-3-031-06116-5_67

Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing. / Bos, Derk H.; Wolfs, Rob J.M.
Third RILEM International Conference on Concrete and Digital Fabrication: Digital Concrete 2022. Springer, 2022. p. 453-459 (RILEM Bookseries; Vol. 37).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2022/6/25

Y1 - 2022/6/25

N2 - 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 of the material can be determined when an infrequent slug-by-slug flow exists.

AB - 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 of the material can be determined when an infrequent slug-by-slug flow exists.

KW - Additive manufacturing

KW - Automation

KW - Extensional gravity-rheometry

KW - Machine vision

KW - Quality control

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SN - 978-3-031-06115-8

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ER -

Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

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Fingerprint

Digital Concrete conference - Best Paper Award

Cite this

Automated Visual Inspection of Near Nozzle Droplet Formation for Quality Control of Additive Manufacturing

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Prizes

Digital Concrete conference - Best Paper Award

Cite this