Design and experimental validation of self-supporting topologies for additive manufacturing
| Autor: | Yun-Fei Fu, Bernard Rolfe, Louis N. S. Chiu, Yanan Wang, Xiaodong Huang, Kazem Ghabraie |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Virtual and Physical Prototyping, Vol 14, Iss 4, Pp 382-394 (2019) |
| Druh dokumentu: | article |
| ISSN: | 1745-2759 1745-2767 17452759 |
| DOI: | 10.1080/17452759.2019.1637023 |
| Popis: | Incorporating additive manufacturing (AM) constraints in topology optimisation can lead to performance optimality while ensuring manufacturability of designs. Numerical techniques have been previously proposed to obtain support-free designs in AM, however, few works have verified the manufacturability of their solutions. Physical verification of manufacturability becomes more critical recalling that the conventional density-based topology optimisation methods will inevitably require post-processing to smooth the boundaries before sending the results to a 3D printer. This paper presents the smooth design of self-supporting topologies using the combination of a new Solid Isotropic Microstructure with Penalisation method (SIMP) developed based on elemental volume fractions and an existing AM filter. Manufacturability of selected simulation results are verified with Fused Deposition Modeling (FDM) technology. It is illustrated that the proposed method is able to generate convergent self-supporting topologies which are printable using FDM. |
| Databáze: | Directory of Open Access Journals |
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