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.
%0 Journal Article
%1 Bodea_2021
%A Bodea, Serban
%A Mindermann, Pascal
%A Gresser, Götz T.
%A Menges, Achim
%D 2021
%I Mary Ann Liebert Inc
%J 3D Printing and Additive Manufacturing
%K gresser intcdc itft mindermann peer rp11
%R 10.1089/3dp.2020.0346
%T Additive Manufacturing of Large Coreless Filament Wound Composite Elements for Building Construction
%U https://doi.org/10.1089%2F3dp.2020.0346
%X 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.
@article{Bodea_2021,
abstract = {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.},
added-at = {2021-08-13T12:11:33.000+0200},
author = {Bodea, Serban and Mindermann, Pascal and Gresser, Götz T. and Menges, Achim},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/268c272277063460277c10b512c92e771/itft-puma},
doi = {10.1089/3dp.2020.0346},
interhash = {3d109301789ffbd89d239d12b2b5dc40},
intrahash = {68c272277063460277c10b512c92e771},
journal = {3D Printing and Additive Manufacturing},
keywords = {gresser intcdc itft mindermann peer rp11},
month = aug,
publisher = {Mary Ann Liebert Inc},
timestamp = {2021-08-19T12:57:43.000+0200},
title = {Additive Manufacturing of Large Coreless Filament Wound Composite Elements for Building Construction},
url = {https://doi.org/10.1089%2F3dp.2020.0346},
year = 2021
}