Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization
Abstract Recent advancements in manufacturing, finite element analysis (FEA), and optimization techniques have expanded the design possibilities for metamaterials, including isotropic and auxetic structures, known for applications like energy absorption due to their unique deformation mechanism and...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-023-01186-2 |
| _version_ | 1797363039892144128 |
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| author | Timon Meier Runxuan Li Stefanos Mavrikos Brian Blankenship Zacharias Vangelatos M. Erden Yildizdag Costas P. Grigoropoulos |
| author_facet | Timon Meier Runxuan Li Stefanos Mavrikos Brian Blankenship Zacharias Vangelatos M. Erden Yildizdag Costas P. Grigoropoulos |
| author_sort | Timon Meier |
| collection | DOAJ |
| description | Abstract Recent advancements in manufacturing, finite element analysis (FEA), and optimization techniques have expanded the design possibilities for metamaterials, including isotropic and auxetic structures, known for applications like energy absorption due to their unique deformation mechanism and consistent behavior under varying loads. However, achieving simultaneous control of multiple properties, such as optimal isotropic and auxetic characteristics, remains challenging. This paper introduces a systematic design approach that combines modeling, FEA, genetic algorithm, and optimization to create tailored mechanical behavior in metamaterials. Through strategically arranging 8 distinct neither isotropic nor auxetic unit cell states, the stiffness tensor in a 5 × 5 × 5 cubic symmetric lattice structure is controlled. Employing the NSGA-II genetic algorithm and automated modeling, we yield metamaterial lattice structures possessing both desired isotropic and auxetic properties. Multiphoton lithography fabrication and experimental characterization of the optimized metamaterial highlights a practical real-world use and confirms the close correlation between theoretical and experimental data. |
| first_indexed | 2024-03-08T16:16:04Z |
| format | Article |
| id | doaj.art-2b16d17260e545dda91029289fbc2084 |
| institution | Directory Open Access Journal |
| issn | 2057-3960 |
| language | English |
| last_indexed | 2024-03-08T16:16:04Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Computational Materials |
| spelling | doaj.art-2b16d17260e545dda91029289fbc20842024-01-07T12:35:59ZengNature Portfolionpj Computational Materials2057-39602024-01-0110111210.1038/s41524-023-01186-2Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterizationTimon Meier0Runxuan Li1Stefanos Mavrikos2Brian Blankenship3Zacharias Vangelatos4M. Erden Yildizdag5Costas P. Grigoropoulos6Laser Thermal Laboratory, Department of Mechanical Engineering, University of CaliforniaLaser Thermal Laboratory, Department of Mechanical Engineering, University of CaliforniaLaser Thermal Laboratory, Department of Mechanical Engineering, University of CaliforniaLaser Thermal Laboratory, Department of Mechanical Engineering, University of CaliforniaLaser Thermal Laboratory, Department of Mechanical Engineering, University of CaliforniaFaculty of Naval Architecture and Ocean Engineering, Istanbul Technical UniversityLaser Thermal Laboratory, Department of Mechanical Engineering, University of CaliforniaAbstract Recent advancements in manufacturing, finite element analysis (FEA), and optimization techniques have expanded the design possibilities for metamaterials, including isotropic and auxetic structures, known for applications like energy absorption due to their unique deformation mechanism and consistent behavior under varying loads. However, achieving simultaneous control of multiple properties, such as optimal isotropic and auxetic characteristics, remains challenging. This paper introduces a systematic design approach that combines modeling, FEA, genetic algorithm, and optimization to create tailored mechanical behavior in metamaterials. Through strategically arranging 8 distinct neither isotropic nor auxetic unit cell states, the stiffness tensor in a 5 × 5 × 5 cubic symmetric lattice structure is controlled. Employing the NSGA-II genetic algorithm and automated modeling, we yield metamaterial lattice structures possessing both desired isotropic and auxetic properties. Multiphoton lithography fabrication and experimental characterization of the optimized metamaterial highlights a practical real-world use and confirms the close correlation between theoretical and experimental data.https://doi.org/10.1038/s41524-023-01186-2 |
| spellingShingle | Timon Meier Runxuan Li Stefanos Mavrikos Brian Blankenship Zacharias Vangelatos M. Erden Yildizdag Costas P. Grigoropoulos Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization npj Computational Materials |
| title | Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization |
| title_full | Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization |
| title_fullStr | Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization |
| title_full_unstemmed | Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization |
| title_short | Obtaining auxetic and isotropic metamaterials in counterintuitive design spaces: an automated optimization approach and experimental characterization |
| title_sort | obtaining auxetic and isotropic metamaterials in counterintuitive design spaces an automated optimization approach and experimental characterization |
| url | https://doi.org/10.1038/s41524-023-01186-2 |
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