Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing
At present, a large number of scholars have conducted related research on topology optimization for additive manufacturing (AM). However, there are few relevant research reports on the impact of different directions of additive manufacturing on the optimal design and manufacturing results. In this p...
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| Format: | Article |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/18/9396 |
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| author | Xianjie Wang Fan Zhang Zhenjiang Weng Xinyu Jiang Rushuang Wang Hao Ren Feiyun Zheng |
| author_facet | Xianjie Wang Fan Zhang Zhenjiang Weng Xinyu Jiang Rushuang Wang Hao Ren Feiyun Zheng |
| author_sort | Xianjie Wang |
| collection | DOAJ |
| description | At present, a large number of scholars have conducted related research on topology optimization for additive manufacturing (AM). However, there are few relevant research reports on the impact of different directions of additive manufacturing on the optimal design and manufacturing results. In this paper, using the bidirectional evolutionary optimization (BESO) method, anisotropic optimization analysis was carried out on space nodes that are currently popular in the field of additive manufacturing and topology optimization. The elastic constants in different directions were used as anisotropic material properties for optimization research in this paper through tensile testing, which was carried out on 316L stainless-steel specimens fabricated using Selective Laser Melting (SLM) technology. In addition, SEM analyses were performed to explore the microscopic appearance of the material. The study found that additive manufacturing is affected by the printing direction in terms of both macroscopic mechanical properties and microscopic material structure; the deformation obtained by anisotropic optimization was about 1.1–2.3% smaller than that obtained by isotropic optimization. |
| first_indexed | 2024-03-10T00:47:33Z |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:47:33Z |
| publishDate | 2022-09-01 |
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| series | Applied Sciences |
| spelling | doaj.art-e16c190b5b2945209b5a029c0242da1e2023-11-23T14:57:59ZengMDPI AGApplied Sciences2076-34172022-09-011218939610.3390/app12189396Space Node Topology Optimization Design Considering Anisotropy of Additive ManufacturingXianjie Wang0Fan Zhang1Zhenjiang Weng2Xinyu Jiang3Rushuang Wang4Hao Ren5Feiyun Zheng6Key Laboratory of Civil Engineering Structure and Mechanics, Inner Mongolia University of Technology, Hohhot 010051, ChinaSchool of Architecture and Planning, Yunnan University, Kunming 650106, ChinaSchool of Architecture and Planning, Yunnan University, Kunming 650106, ChinaSchool of Architecture and Planning, Yunnan University, Kunming 650106, ChinaSchool of Architecture and Planning, Yunnan University, Kunming 650106, ChinaSchool of Architecture and Planning, Yunnan University, Kunming 650106, ChinaSchool of Architecture and Planning, Yunnan University, Kunming 650106, ChinaAt present, a large number of scholars have conducted related research on topology optimization for additive manufacturing (AM). However, there are few relevant research reports on the impact of different directions of additive manufacturing on the optimal design and manufacturing results. In this paper, using the bidirectional evolutionary optimization (BESO) method, anisotropic optimization analysis was carried out on space nodes that are currently popular in the field of additive manufacturing and topology optimization. The elastic constants in different directions were used as anisotropic material properties for optimization research in this paper through tensile testing, which was carried out on 316L stainless-steel specimens fabricated using Selective Laser Melting (SLM) technology. In addition, SEM analyses were performed to explore the microscopic appearance of the material. The study found that additive manufacturing is affected by the printing direction in terms of both macroscopic mechanical properties and microscopic material structure; the deformation obtained by anisotropic optimization was about 1.1–2.3% smaller than that obtained by isotropic optimization.https://www.mdpi.com/2076-3417/12/18/9396additive manufacturingspace nodesBESO methodanisotropySLM |
| spellingShingle | Xianjie Wang Fan Zhang Zhenjiang Weng Xinyu Jiang Rushuang Wang Hao Ren Feiyun Zheng Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing Applied Sciences additive manufacturing space nodes BESO method anisotropy SLM |
| title | Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing |
| title_full | Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing |
| title_fullStr | Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing |
| title_full_unstemmed | Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing |
| title_short | Space Node Topology Optimization Design Considering Anisotropy of Additive Manufacturing |
| title_sort | space node topology optimization design considering anisotropy of additive manufacturing |
| topic | additive manufacturing space nodes BESO method anisotropy SLM |
| url | https://www.mdpi.com/2076-3417/12/18/9396 |
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