Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings
Abstract This paper proposes a gradient conformal design technique to modify the multi-directional stiffness characteristics of 3D printed chiral metamaterials, using various airfoil shapes. The method ensures the integrity of chiral cell nodal circles while improving load transmission efficiency an...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-11-01
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| Series: | Chinese Journal of Mechanical Engineering |
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| Online Access: | https://doi.org/10.1186/s10033-024-01132-3 |
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| _version_ | 1846148062543609856 |
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| author | Qian Zheng Weijun Zhu Quan Zhi Henglun Sun Dongsheng Li Xilun Ding |
| author_facet | Qian Zheng Weijun Zhu Quan Zhi Henglun Sun Dongsheng Li Xilun Ding |
| author_sort | Qian Zheng |
| collection | DOAJ |
| description | Abstract This paper proposes a gradient conformal design technique to modify the multi-directional stiffness characteristics of 3D printed chiral metamaterials, using various airfoil shapes. The method ensures the integrity of chiral cell nodal circles while improving load transmission efficiency and enhancing manufacturing precision for 3D printing applications. A parametric design framework, integrating finite element analysis and optimization modules, is developed to enhance the wing’s multidirectional stiffness. The optimization process demonstrates that the distribution of chiral structural ligaments and nodal circles significantly affects wing deformation. The stiffness gradient optimization results reveal a variation of over 78% in tail stiffness performance between the best and worst parameter combinations. Experimental outcomes suggest that this strategy can develop metamaterials with enhanced deformability, offering a promising approach for designing morphing wings. |
| format | Article |
| id | doaj-art-c791ad41fa6e49be92b559c4a988f99a |
| institution | Kabale University |
| issn | 2192-8258 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Chinese Journal of Mechanical Engineering |
| spelling | doaj-art-c791ad41fa6e49be92b559c4a988f99a2024-12-01T12:13:06ZengSpringerOpenChinese Journal of Mechanical Engineering2192-82582024-11-0137111910.1186/s10033-024-01132-3Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing WingsQian Zheng0Weijun Zhu1Quan Zhi2Henglun Sun3Dongsheng Li4Xilun Ding5School of Mechanical Engineering and Automation, Beihang UniversitySchool of Mechanical Engineering and Automation, Beihang UniversitySchool of Mechanical Engineering and Automation, Beihang UniversitySchool of Mechanical Engineering and Automation, Beihang UniversitySchool of Mechanical Engineering and Automation, Beihang UniversitySchool of Mechanical Engineering and Automation, Beihang UniversityAbstract This paper proposes a gradient conformal design technique to modify the multi-directional stiffness characteristics of 3D printed chiral metamaterials, using various airfoil shapes. The method ensures the integrity of chiral cell nodal circles while improving load transmission efficiency and enhancing manufacturing precision for 3D printing applications. A parametric design framework, integrating finite element analysis and optimization modules, is developed to enhance the wing’s multidirectional stiffness. The optimization process demonstrates that the distribution of chiral structural ligaments and nodal circles significantly affects wing deformation. The stiffness gradient optimization results reveal a variation of over 78% in tail stiffness performance between the best and worst parameter combinations. Experimental outcomes suggest that this strategy can develop metamaterials with enhanced deformability, offering a promising approach for designing morphing wings.https://doi.org/10.1186/s10033-024-01132-3Morphing wingsChiral metamaterialsGradient conformal designGenetic algorithm optimization3D printing |
| spellingShingle | Qian Zheng Weijun Zhu Quan Zhi Henglun Sun Dongsheng Li Xilun Ding Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings Chinese Journal of Mechanical Engineering Morphing wings Chiral metamaterials Gradient conformal design Genetic algorithm optimization 3D printing |
| title | Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings |
| title_full | Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings |
| title_fullStr | Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings |
| title_full_unstemmed | Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings |
| title_short | Genetic Algorithm Optimization Design of Gradient Conformal Chiral Metamaterials and 3D Printing Verification for Morphing Wings |
| title_sort | genetic algorithm optimization design of gradient conformal chiral metamaterials and 3d printing verification for morphing wings |
| topic | Morphing wings Chiral metamaterials Gradient conformal design Genetic algorithm optimization 3D printing |
| url | https://doi.org/10.1186/s10033-024-01132-3 |
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