Process Control for Additive Manufacturing of Concrete Components

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dc.identifier.uri http://dx.doi.org/10.15488/15771
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/15895
dc.contributor.author Lachmayer, Lukas eng
dc.contributor.author Dörrie, Robin eng
dc.contributor.author Kloft, Harald eng
dc.contributor.author Raatz, Annika eng
dc.contributor.editor Buswell, Richard eng
dc.contributor.editor Blanco, Ana eng
dc.contributor.editor Cavalero, Sergio eng
dc.contributor.editor Kinnell, Peter eng
dc.date.accessioned 2023-12-20T08:46:22Z
dc.date.available 2023-12-20T08:46:22Z
dc.date.issued 2022
dc.identifier.citation Lachmayer, L.; Dörrie, R.; Kloft, H.; Raatz, A.: Process Control for Additive Manufacturing of Concrete Components. In: Buswell, R.; Blanco, A.; Cavalaro, S.; Kinnell, P. (Eds): Third RILEM International Conference on Concrete and Digital Fabrication. Cham : Springer, 2022 (RILEM Bookseries ; 37), S. 351-356. DOI: https://doi.org/10.1007/978-3-031-06116-5_52
dc.description.abstract Additive manufacturing (AM) processes offer new possibilities in the design of concrete components. The process chain for AM processes generally consists of component design, print path generation, and manufacturing. Within the step of print path generation, the component is commonly divided into layers and filled with waypoints based on the assumption of a constant cross-section of the applied material strands. In contrast to metal or plastic, however, the material properties of fresh concrete are more sensitive to environmental influences such as temperature and humidity. This leads to cross-section variations during the process. Therefore, exclusively relying on an apriori print path planning for large-scale components leads to significant deviations between as-planed and as-printed geometries. The presented research aims to increase the manufacturing accuracy of concrete components by compensating layer inconsistencies through a controlled material application. For this purpose, varying the printing speed and nozzle distance allows for correction of the deviations of subjacent layers. Deviation detection is performed by a 2D laser sensor mounted on the printing nozzle to generate information about the underlying cross-section. Comparing the measured values to precalculated setpoints generates the error values. The control algorithm maps the error data into an adaption of the printing speed and nozzle distance to fulfill the pre-planned geometry. Applying the controller to a medium-sized component and comparing the result to the uncontrolled process shows a considerable accuracy improvement. This is the accepted Version of an article published by RILEM. Readers must contact RILEM for permission to reprint or use the material in any form. eng
dc.publisher Cham : Springer
dc.relation.ispartof Third RILEM International Conference on Concrete and Digital Fabrication
dc.relation.ispartofseries RILEM Bookseries
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. eng
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. eng
dc.subject Shotcrete 3D printing eng
dc.subject Process control eng
dc.subject Additive manufacturing eng
dc.subject.classification Konferenzschrift
dc.subject.ddc 690 | Hausbau, Bauhandwerk
dc.title Process Control for Additive Manufacturing of Concrete Components eng
dc.type BookPart eng
dc.type Text eng
dc.relation.essn 2211-0852
dc.relation.isbn 978-3-031-06115-8
dc.relation.isbn 978-3-031-06118-9
dc.relation.isbn 978-3-031-06116-5
dc.relation.issn 2211-0844
dc.relation.doi 10.1007/978-3-031-06116-5_52
dc.bibliographicCitation.volume 37
dc.bibliographicCitation.firstPage 351
dc.bibliographicCitation.lastPage 356
dc.description.version acceptedVersion


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