Inverse design of programmable shape-morphing kirigami structures
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917695065161728 |
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| author | Ying, Xiaoyuan Fernando, Dilum Dias, Marcelo A. |
| author_facet | Ying, Xiaoyuan Fernando, Dilum Dias, Marcelo A. |
| contents | Shape-morphing structures have the capability to transform from one state to another, making them highly valuable in engineering applications. In this study, it is propose a two-stage shape-morphing framework inspired by kirigami structures to design structures that can deploy from a compacted state to a prescribed state under certain mechanical stimuli -- although the framework may also be extended to accommodate various physical fields, such as magnetic, thermal, and electric fields. The framework establishes a connection between the geometry and mechanics of kirigami structures. The proposed approach combines the finite element analysis (FEA), genetic algorithm (GA), and an analytical energy-based model to obtain kirigami designs with robustness and efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_10566 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Inverse design of programmable shape-morphing kirigami structures Ying, Xiaoyuan Fernando, Dilum Dias, Marcelo A. Soft Condensed Matter Materials Science Applied Physics Shape-morphing structures have the capability to transform from one state to another, making them highly valuable in engineering applications. In this study, it is propose a two-stage shape-morphing framework inspired by kirigami structures to design structures that can deploy from a compacted state to a prescribed state under certain mechanical stimuli -- although the framework may also be extended to accommodate various physical fields, such as magnetic, thermal, and electric fields. The framework establishes a connection between the geometry and mechanics of kirigami structures. The proposed approach combines the finite element analysis (FEA), genetic algorithm (GA), and an analytical energy-based model to obtain kirigami designs with robustness and efficiency. |
| title | Inverse design of programmable shape-morphing kirigami structures |
| topic | Soft Condensed Matter Materials Science Applied Physics |
| url | https://arxiv.org/abs/2406.10566 |