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Title: | Ultrastiff metamaterials generated through a multilayer strategy and topology optimization | Authors: | Liu, Yang Wang, Yongzhen Ren, Hongyuan Meng, Zhiqiang Chen, Xueqian Li, Zuyu Wang, Liwei Chen, Wei Wang, Yifan Du, Jianbin |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Liu, Y., Wang, Y., Ren, H., Meng, Z., Chen, X., Li, Z., Wang, L., Chen, W., Wang, Y. & Du, J. (2024). Ultrastiff metamaterials generated through a multilayer strategy and topology optimization. Nature Communications, 15(1), 2984-. https://dx.doi.org/10.1038/s41467-024-47089-8 | Journal: | Nature Communications | Abstract: | Metamaterials composed of different geometrical primitives have different properties. Corresponding to the fundamental geometrical forms of line, plane, and surface, beam-, plate-, and shell-based lattice metamaterials enjoy many advantages in many aspects, respectively. To fully exploit the advantages of each structural archetype, we propose a multilayer strategy and topology optimization technique to design lattice metamaterial in this study. Under the frame of the multilayer strategy, the design space is enlarged and diversified, and the design freedom is increased. Topology optimization is applied to explore better designs in the larger and diverse design space. Beam-plate-shell-combined metamaterials automatically emerge from the optimization to achieve ultrahigh stiffness. Benefiting from high stiffness, energy absorption performances of optimized results also demonstrate substantial improvements under large geometrical deformation. The multilayer strategy and topology optimization can also bring a series of tunable dimensions for lattice design, which helps achieve desired mechanical properties, such as isotropic elasticity and functionally grading material property, and superior performances in acoustic tuning, electrostatic shielding, and fluid field tuning. We envision that a broad array of synthetic and composite metamaterials with unprecedented performance can be designed with the multilayer strategy and topology optimization. | URI: | https://hdl.handle.net/10356/179585 | ISSN: | 2041-1723 | DOI: | 10.1038/s41467-024-47089-8 | Schools: | School of Mechanical and Aerospace Engineering | Rights: | © 2024 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/ licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Journal Articles |
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