Design and experimental validation of self-supporting topologies for additive manufacturing
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 manufacturabili...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2019-10-01
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| Series: | Virtual and Physical Prototyping |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17452759.2019.1637023 |
| _version_ | 1827811290292158464 |
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| author | Yun-Fei Fu Bernard Rolfe Louis N. S. Chiu Yanan Wang Xiaodong Huang Kazem Ghabraie |
| author_facet | Yun-Fei Fu Bernard Rolfe Louis N. S. Chiu Yanan Wang Xiaodong Huang Kazem Ghabraie |
| author_sort | Yun-Fei Fu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T23:04:07Z |
| format | Article |
| id | doaj.art-fac93cf84316422c9a087eda91080948 |
| institution | Directory Open Access Journal |
| issn | 1745-2759 1745-2767 |
| language | English |
| last_indexed | 2024-03-11T23:04:07Z |
| publishDate | 2019-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Virtual and Physical Prototyping |
| spelling | doaj.art-fac93cf84316422c9a087eda910809482023-09-21T14:38:01ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672019-10-0114438239410.1080/17452759.2019.16370231637023Design and experimental validation of self-supporting topologies for additive manufacturingYun-Fei Fu0Bernard Rolfe1Louis N. S. Chiu2Yanan Wang3Xiaodong Huang4Kazem Ghabraie5School of Engineering, Deakin UniversitySchool of Engineering, Deakin UniversityDepartment of Materials Science and Engineering, Monash UniversitySchool of Engineering, Deakin UniversityFaculty of Science, Engineering and Technology, Swinburne University of TechnologySchool of Engineering, Deakin UniversityIncorporating 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.http://dx.doi.org/10.1080/17452759.2019.1637023topology optimisationelemental volume fractionslevel-set functionsmooth boundary representationadditive manufacturingself-supporting design |
| spellingShingle | Yun-Fei Fu Bernard Rolfe Louis N. S. Chiu Yanan Wang Xiaodong Huang Kazem Ghabraie Design and experimental validation of self-supporting topologies for additive manufacturing Virtual and Physical Prototyping topology optimisation elemental volume fractions level-set function smooth boundary representation additive manufacturing self-supporting design |
| title | Design and experimental validation of self-supporting topologies for additive manufacturing |
| title_full | Design and experimental validation of self-supporting topologies for additive manufacturing |
| title_fullStr | Design and experimental validation of self-supporting topologies for additive manufacturing |
| title_full_unstemmed | Design and experimental validation of self-supporting topologies for additive manufacturing |
| title_short | Design and experimental validation of self-supporting topologies for additive manufacturing |
| title_sort | design and experimental validation of self supporting topologies for additive manufacturing |
| topic | topology optimisation elemental volume fractions level-set function smooth boundary representation additive manufacturing self-supporting design |
| url | http://dx.doi.org/10.1080/17452759.2019.1637023 |
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