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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2309.00396 |
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| _version_ | 1866909425962319872 |
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| author | Altunay, Rabia Vesterinen, Kalevi Alander, Pasi Immonen, Eero Rupp, Andreas Roininen, Lassi |
| author_facet | Altunay, Rabia Vesterinen, Kalevi Alander, Pasi Immonen, Eero Rupp, Andreas Roininen, Lassi |
| contents | We present a computational design method that optimizes the reinforcement of dentures and increases the stiffness of dentures. Our approach optimally places reinforcement in the denture, which modern multi-material three-dimensional printers could implement. The study focuses on reducing denture displacement by identifying regions that require reinforcement (E-glass material) with the help of topology optimization. Our method is applied to a three-dimensional complete lower jaw denture. We compare the displacement results of a non-reinforced denture and a reinforced denture that has two materials. The comparison results indicate that there is a decrease in the displacement in the reinforced denture. Considering node-based displacement distribution, the reinforcement reduces the displacement magnitudes in the reinforced denture compared to the non-reinforced denture. The study guides dental technicians on where to automatically place reinforcement in the fabrication process, helping them save time and reduce material usage. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_00396 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Denture reinforcement via topology optimization Altunay, Rabia Vesterinen, Kalevi Alander, Pasi Immonen, Eero Rupp, Andreas Roininen, Lassi Computational Engineering, Finance, and Science We present a computational design method that optimizes the reinforcement of dentures and increases the stiffness of dentures. Our approach optimally places reinforcement in the denture, which modern multi-material three-dimensional printers could implement. The study focuses on reducing denture displacement by identifying regions that require reinforcement (E-glass material) with the help of topology optimization. Our method is applied to a three-dimensional complete lower jaw denture. We compare the displacement results of a non-reinforced denture and a reinforced denture that has two materials. The comparison results indicate that there is a decrease in the displacement in the reinforced denture. Considering node-based displacement distribution, the reinforcement reduces the displacement magnitudes in the reinforced denture compared to the non-reinforced denture. The study guides dental technicians on where to automatically place reinforcement in the fabrication process, helping them save time and reduce material usage. |
| title | Denture reinforcement via topology optimization |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2309.00396 |