| Téléchargement | - Voir les données supplémentaires : On-the-fly 3D metrology of volumetric additive manufacturing (DOCX, 3.1 Mio)
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| DOI | Trouver le DOI : https://doi.org/10.1016/j.addma.2022.102869 |
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| Auteur | Rechercher : Orth, Antony1; Rechercher : Sampson, Kathleen L.2; Rechercher : Zhang, Yujie2; Rechercher : Ting, Kayley1; Rechercher : Aranguren van Egmond, Derek3; Rechercher : Laqua, Kurtis3; Rechercher : Lacelle, Thomas2; Rechercher : Webber, Daniel1; Rechercher : Fatehi, Dorothy4; Rechercher : Boisvert, Jonathan1; Rechercher : Paquet, Chantal2 |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
- Conseil national de recherches du Canada. Technologies de sécurité et de rupture
- Conseil national de recherches du Canada. Énergie, les mines et l'environnement
- Conseil national de recherches du Canada. Thérapeutique en santé humaine
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| Format | Texte, Article |
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| Sujet | metrology; print monitoring; imaging; tomographic imaging; Volumetric additive manufacturing |
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| Résumé | Additive manufacturing techniques are revolutionizing product development by enabling fast turnaround from design to fabrication. However, the throughput of the rapid prototyping pipeline remains constrained by print optimization, requiring multiple iterations of fabrication and ex-situ metrology. Despite the need for a suitable technology, robust in-situ shape measurement of an entire print is not currently available with any additive manufacturing modality. Here, we address this shortcoming by demonstrating fully simultaneous 3D metrology and printing. We exploit the dramatic increase in light scattering by a photoresin during gelation for real-time 3D imaging of prints during tomographic volumetric additive manufacturing. Tomographic imaging of the light scattering density in the build volume yields quantitative, artifact-free 3D + time models of cured objects that are accurate to below 1% of the size of the print. By integrating shape measurement into the printing process, our work paves the way for next-generation rapid prototyping with real-time defect detection and correction. |
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| Date de publication | 2022-05-04 |
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| Maison d’édition | Elsevier BV |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Identificateur | S2214860422002688 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 76190a6c-76f5-4c9e-b7c6-a2d4c4731664 |
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| Enregistrement créé | 2022-06-03 |
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| Enregistrement modifié | 2022-06-06 |
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