A Substructure Perturbation Method for Systematic Design of Mechanical Metamaterials with Programmed Functionalities
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913539916038144 |
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| author | Liu, Jiakun Taylor, Adam Fulco, Sage Pande, Sumukh S. Turner, Kevin T. |
| author_facet | Liu, Jiakun Taylor, Adam Fulco, Sage Pande, Sumukh S. Turner, Kevin T. |
| contents | Mechanical metamaterials utilize geometry to achieve exceptional mechanical properties, including those not typically possible for traditional materials. To achieve these properties, it is necessary to identify the proper structures and geometries, which is often a non-trivial and computationally expensive process. Here, we propose a Substructure Perturbation Method (SSPM) for systematic design and search of these materials with programmed deformation modes. We present the theoretical fundamentals and computational algorithms of the SSPM, along with four design problems to investigate the effect and performance of the SSPM. Results reveal the necessity of analyzing multiple substructures simultaneously in obtaining successful designs, and its effectiveness in speeding up numerical processes. In one design case, SSPM is shown to be effectively two orders of magnitude faster than another state-of-art approach while using less computational resources. We also show an experimental validation where the fabricated prototypes can grasp objects respectively by undergoing programmed deformations under corresponding inputs. The proposed SSPM provides new fundamentals and strategies for the design of mechanical metamaterials with advanced functionalities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_07213 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Substructure Perturbation Method for Systematic Design of Mechanical Metamaterials with Programmed Functionalities Liu, Jiakun Taylor, Adam Fulco, Sage Pande, Sumukh S. Turner, Kevin T. Applied Physics Materials Science Mechanical metamaterials utilize geometry to achieve exceptional mechanical properties, including those not typically possible for traditional materials. To achieve these properties, it is necessary to identify the proper structures and geometries, which is often a non-trivial and computationally expensive process. Here, we propose a Substructure Perturbation Method (SSPM) for systematic design and search of these materials with programmed deformation modes. We present the theoretical fundamentals and computational algorithms of the SSPM, along with four design problems to investigate the effect and performance of the SSPM. Results reveal the necessity of analyzing multiple substructures simultaneously in obtaining successful designs, and its effectiveness in speeding up numerical processes. In one design case, SSPM is shown to be effectively two orders of magnitude faster than another state-of-art approach while using less computational resources. We also show an experimental validation where the fabricated prototypes can grasp objects respectively by undergoing programmed deformations under corresponding inputs. The proposed SSPM provides new fundamentals and strategies for the design of mechanical metamaterials with advanced functionalities. |
| title | A Substructure Perturbation Method for Systematic Design of Mechanical Metamaterials with Programmed Functionalities |
| topic | Applied Physics Materials Science |
| url | https://arxiv.org/abs/2410.07213 |