Susmel, L. orcid.org/0000-0001-7753-9176 (2024) Theory of critical distances and notched filament-based 3D-printed components: lessons learned from polymers and concrete. In: Berto, F., Iacoviello, F., De Jesus, A., Torgersen, J. and Vantadori, S., (eds.) Procedia Structural Integrity. Third European Conference on the Structural Integrity of Additively Manufactured Materials (ESIAM23), 04-06 Sep 2023, Porto, Portugal. Elsevier BV , pp. 44-51.
Abstract
The present paper reviews the work we did in recent years (Ahmed and Susmel, 2018, 2019; Alanzi et al., 2022) – to use the Theory of Critical Distances to model the detrimental effect of manufacturing defects and voids in 3D-printed concrete/polymers subjected to static loading. The validity and robustness of the proposed approach is assessed against a large number of experimental results that were generated by testing 3D-printed specimens of both concrete and polylactide (PLA) containing manufacturing defects/voids. The sound agreement between experiments and predictive model makes it evident that the Theory of Critical Distances (TCD) is not only a reliable design approach, but also a powerful tool suitable for guiding and informing effectively the additive manufacturing process.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the ESIAM23 chair. |
| Keywords: | Manufacturing Engineering; Engineering; Industry, Innovation and Infrastructure |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
| Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/S019650/1 |
| Depositing User: | Symplectic Sheffield |
| Date Deposited: | 22 Feb 2024 09:14 |
| Last Modified: | 22 Feb 2024 09:21 |
| Status: | Published |
| Publisher: | Elsevier BV |
| Refereed: | Yes |
| Identification Number: | 10.1016/j.prostr.2024.01.006 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209422 |

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