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Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing

Embedded in a long tradition of craftsmanship, inside or outside building surfaces, is often treated with plaster, which plays both functional and ornamental roles. Today, plasterwork is predominantly produced through rationalized, time-, and cost-efficient processes, used for standardized building...

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Autores principales: Ercan Jenny, Selen, Lloret-Fritschi, Ena, Jenny, David, Sounigo, Eliott, Tsai, Ping-Hsun, Gramazio, Fabio, Kohler, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586244/
https://www.ncbi.nlm.nih.gov/pubmed/36655203
http://dx.doi.org/10.1089/3dp.2020.0355
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author Ercan Jenny, Selen
Lloret-Fritschi, Ena
Jenny, David
Sounigo, Eliott
Tsai, Ping-Hsun
Gramazio, Fabio
Kohler, Matthias
author_facet Ercan Jenny, Selen
Lloret-Fritschi, Ena
Jenny, David
Sounigo, Eliott
Tsai, Ping-Hsun
Gramazio, Fabio
Kohler, Matthias
author_sort Ercan Jenny, Selen
collection PubMed
description Embedded in a long tradition of craftsmanship, inside or outside building surfaces, is often treated with plaster, which plays both functional and ornamental roles. Today, plasterwork is predominantly produced through rationalized, time-, and cost-efficient processes, used for standardized building elements. These processes have also gained interest in the construction robotics field, and while such approaches target the direct automation of standardized plasterwork, they estrange themselves from the inherent qualities of this malleable material that are well known from the past. This research investigates the design potentials of robotic plaster spraying, proposing an adaptive, thin-layer vertical printing method for plasterwork that aims to introduce a digital craft through additive manufacturing. The presented work is an explorative study of a digitally controlled process that can be applied to broaden the design possibilities for the surfaces of building structures. It involves the spraying of multiple thin layers of plaster onto a vertical surface to create volumetric formations or patterns, without the use of any formwork or support structures. This article describes the experimental setup and the initial results of the data collection method involving systematic studies with physical testing, allowing to develop means to predict and visualize the complex-to-simulate material behavior, which might eventually enable to design with the plasticity of this material in a digital design tool.
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spelling pubmed-95862442023-01-17 Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing Ercan Jenny, Selen Lloret-Fritschi, Ena Jenny, David Sounigo, Eliott Tsai, Ping-Hsun Gramazio, Fabio Kohler, Matthias 3D Print Addit Manuf Original Articles Embedded in a long tradition of craftsmanship, inside or outside building surfaces, is often treated with plaster, which plays both functional and ornamental roles. Today, plasterwork is predominantly produced through rationalized, time-, and cost-efficient processes, used for standardized building elements. These processes have also gained interest in the construction robotics field, and while such approaches target the direct automation of standardized plasterwork, they estrange themselves from the inherent qualities of this malleable material that are well known from the past. This research investigates the design potentials of robotic plaster spraying, proposing an adaptive, thin-layer vertical printing method for plasterwork that aims to introduce a digital craft through additive manufacturing. The presented work is an explorative study of a digitally controlled process that can be applied to broaden the design possibilities for the surfaces of building structures. It involves the spraying of multiple thin layers of plaster onto a vertical surface to create volumetric formations or patterns, without the use of any formwork or support structures. This article describes the experimental setup and the initial results of the data collection method involving systematic studies with physical testing, allowing to develop means to predict and visualize the complex-to-simulate material behavior, which might eventually enable to design with the plasticity of this material in a digital design tool. Mary Ann Liebert, Inc., publishers 2022-06-01 2022-06-09 /pmc/articles/PMC9586244/ /pubmed/36655203 http://dx.doi.org/10.1089/3dp.2020.0355 Text en © Selen Ercan Jenny et al. 2022; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Ercan Jenny, Selen
Lloret-Fritschi, Ena
Jenny, David
Sounigo, Eliott
Tsai, Ping-Hsun
Gramazio, Fabio
Kohler, Matthias
Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing
title Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing
title_full Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing
title_fullStr Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing
title_full_unstemmed Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing
title_short Robotic Plaster Spraying: Crafting Surfaces with Adaptive Thin-Layer Printing
title_sort robotic plaster spraying: crafting surfaces with adaptive thin-layer printing
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586244/
https://www.ncbi.nlm.nih.gov/pubmed/36655203
http://dx.doi.org/10.1089/3dp.2020.0355
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