Additive Manufacturing of Large Coreless Filament Wound Composite Elements for Building Construction.

additive manufacturing automated construction cyber-physical production system fiber tension control fiber-reinforced polymers robotic coreless filament winding robotic fabrication robotic motion-control

Journal

3D printing and additive manufacturing
ISSN: 2329-7670
Titre abrégé: 3D Print Addit Manuf
Pays: United States
ID NLM: 101649453

Informations de publication

Date de publication:
01 Jun 2022
Historique:
entrez: 19 1 2023
pubmed: 20 1 2023
medline: 20 1 2023
Statut: ppublish

Résumé

Digitization and automation are essential tools to increase productivity and close significant added-value deficits in the building industry. Additive manufacturing (AM) is a process that promises to impact all aspects of building construction profoundly. Of special interest in AM is an in-depth understanding of material systems based on their isotropic or anisotropic properties. The presented research focuses on fiber-reinforced polymers, with anisotropic mechanical properties ideally suited for AM applications that include tailored structural reinforcement. This article presents a cyber-physical manufacturing process that enhances existing robotic coreless Filament Winding (FW) methods for glass and carbon fiber-reinforced polymers. Our main contribution is the complete characterization of a feedback-based, sensor-informed application for process monitoring and fabrication data acquisition and analysis. The proposed AM method is verified through the fabrication of a large-scale demonstrator. The main finding is that implementing AM in construction through cyber-physical robotic coreless FW leads to more autonomous prefabrication processes and unlocks upscaling potential. Overall, we conclude that material-system-aware communication and control are essential for the efficient automation and design of fiber-reinforced polymers in future construction.

Identifiants

pubmed: 36655206
doi: 10.1089/3dp.2020.0346
pii: 10.1089/3dp.2020.0346
pmc: PMC9586243
doi:

Types de publication

Journal Article

Langues

eng

Pagination

145-160

Informations de copyright

© Serban Bodea et al. 2022; Published by Mary Ann Liebert, Inc.

Déclaration de conflit d'intérêts

S.B., P.M., G.T.G., and A.M. declare that they have no known competing interests, competing financial interests, funding interests, employment interests, personal relationships, or other competing interests that could have appeared to influence the work reported in this article.

Auteurs

Serban Bodea (S)

Institute for Computational Design and Construction (ICD), University of Stuttgart, Stuttgart, Germany.

Pascal Mindermann (P)

Institute for Textile and Fiber Technologies (ITFT), University of Stuttgart, Stuttgart, Germany.

Götz T Gresser (GT)

Institute for Textile and Fiber Technologies (ITFT), University of Stuttgart, Stuttgart, Germany.
German Institutes of Textile and Fiber Research (DITF), Denkendorf, Germany.

Achim Menges (A)

Institute for Computational Design and Construction (ICD), University of Stuttgart, Stuttgart, Germany.

Classifications MeSH