Implicit conformal design for gradient architected materials
This paper develops a conformal architected materials design method based on implicit modeling, which enables functional gradient modulation. This method utilizes the mapping relationship between conformal hexahedral element and the cubic bounding box of architected material to construct the signed distance field. To enhance strength and stiffness of the structure, this study integrates the relative density distribution obtained from topology optimization to regulate the density of conformal architected materials through density mapping. Compared to traditional methods, the proposed method not only reduces the damage of the boundary structure caused by cutting, achieving a mutual match between the architected materials and curved geometry, but also retains the ability to control the distribution of relative density. The numerical analysis and experimental results demonstrate that conformal gradient architected materials exhibit better structural strength and stiffness compared to array-generated gradient architected materials, which indicates that the proposed method has potential applications in lightweight design. • A unified implicit representation for architected materials is proposed as a foundation for implicit modeling. • An approach is proposed to design conformal architected materials, and the relative density can be optimized based on topology optimization. • The proposed method can reinforce the localized regions of failure, thereby enhancing the mechanical properties of architected materials.
Authors
- Ning Dai (ORCID: https://orcid.org/0000-0002-3377-9976)
- Hongqing Dai (ORCID: https://orcid.org/0000-0003-4337-7484)
- Qianfeng Cao (ORCID: https://orcid.org/0009-0005-8345-8221)
- siyuan yang (ORCID: https://orcid.org/0009-0004-4954-3775)
Institutions
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Materials & Design
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1016/j.matdes.2024.113507
- Citations
- 2
- Primary Topic
- Topology Optimization in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.52
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province
- Key Technologies Research and Development Program
- National Key Research and Development Program of China