Robotic 3D Printing of Geopolymer Foam for Lightweight and Insulating Building Elements Article Swipe
Patrick Bedarf
,
Anna Szabó
,
Michele Zanini
,
Benjamin Dillenburger
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1089/3dp.2023.0183
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1089/3dp.2023.0183
Foam 3D printing in construction is a promising manufacturing approach that aims to reduce the amount of material, hazardous labor, and costs in producing lightweight and insulating building parts that can reduce the operational energy in buildings. Research using cement-free mineral foams derived from industrial waste showed great potential in previous studies that reduced the amount of concrete needed in composite structures. This article collates the latest developments in this line of work. It presents the material system with its principal components and the advanced robotic 3D printing setup with a climate-controlled fabrication chamber. Print path schemes and hybrid fabrication methods combining 3D printing and casting are evaluated. Furthermore, the article discusses the effect of different print path schemes on the thermal insulation and compressive strength performance of printed parts. A full-scale final prototype synthesizes these findings and demonstrates the fabrication of modular, lightweight, and insulating construction elements that can be assembled into monolithic wall structures. The advantages and challenges of this novel approach are elaborated on in the conclusions. Finally, the article presents future advancements required to leverage this research as a scalable construction method that can help address the biggest challenges in building low-carbon and energy-efficient structures.
Related Topics
Concepts
Modular design
Fabrication
3D printing
Leverage (statistics)
Scalability
Material efficiency
Computer science
Construction engineering
Materials science
Mechanical engineering
Manufacturing engineering
Engineering
Medicine
Database
Operating system
Ecology
Alternative medicine
Pathology
Biology
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1089/3dp.2023.0183
- OA Status
- hybrid
- Cited By
- 8
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389048378
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389048378Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1089/3dp.2023.0183Digital Object Identifier
- Title
-
Robotic 3D Printing of Geopolymer Foam for Lightweight and Insulating Building ElementsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-11-27Full publication date if available
- Authors
-
Patrick Bedarf, Anna Szabó, Michele Zanini, Benjamin DillenburgerList of authors in order
- Landing page
-
https://doi.org/10.1089/3dp.2023.0183Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1089/3dp.2023.0183Direct OA link when available
- Concepts
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Modular design, Fabrication, 3D printing, Leverage (statistics), Scalability, Material efficiency, Computer science, Construction engineering, Materials science, Mechanical engineering, Manufacturing engineering, Engineering, Medicine, Database, Operating system, Ecology, Alternative medicine, Pathology, Biology, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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