Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy
Inspired by austenite and martensite crystal lattices in the NiTi microstructure with versatile performances, the bionic microlattice metamaterials with strut diameter from 0.4∼0.8 mm were constructed and prepared by the laser powder bed fusion for expanding the tailored mechanical-superelastic rang...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Virtual and Physical Prototyping |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17452759.2024.2444572 |
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| author | Zhi Zhang Jianbao Gao Shuaishuai Wei Bo Song Yonggang Yao Xu Zheng Yuanjie Zhang Lei Zhang Qiaojiao Li Jiafeng Wu Yusheng Shi |
| author_facet | Zhi Zhang Jianbao Gao Shuaishuai Wei Bo Song Yonggang Yao Xu Zheng Yuanjie Zhang Lei Zhang Qiaojiao Li Jiafeng Wu Yusheng Shi |
| author_sort | Zhi Zhang |
| collection | DOAJ |
| description | Inspired by austenite and martensite crystal lattices in the NiTi microstructure with versatile performances, the bionic microlattice metamaterials with strut diameter from 0.4∼0.8 mm were constructed and prepared by the laser powder bed fusion for expanding the tailored mechanical-superelastic range, and the machine learning was utilized for mapping the relationship of various parameters. The mechanical-superelastic were highly related to orientation, the martensite-inspired microlattice metamaterial in the x-axis loading direction (M-x) possessed higher mechanical properties than that of the martensite-inspired microlattice metamaterials in the z-axis loading direction (M-z). For mechanical properties, the M-x possessed the highest Young's modulus (E=1001.5∼3720.4 MPa) and simultaneously the widest tailored range (87.32%), while the austenite-inspired microlattices metamaterial (A) exhibited a fully tailored ability for yield strength (σ). For superelastic, the austenite- and martensite-inspired microlattice metamaterial had superior superelasticity (98.10%∼99.36% recoverability) with wide volume tuning space, the M-x possessed the highest recoverability with a narrow tailored range. The relation between different parameters with mechanical and superelastic properties was established through machine learning, and multiple performance optimizations were carried out with vascular stents as typical application objectives. This research provides novel ideas for designing NiTi components, contributing to the future developments of different applications. |
| format | Article |
| id | doaj-art-48f2822666894971a95eb7a6620ffc84 |
| institution | Kabale University |
| issn | 1745-2759 1745-2767 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Virtual and Physical Prototyping |
| spelling | doaj-art-48f2822666894971a95eb7a6620ffc842025-01-05T18:24:30ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672025-12-0120110.1080/17452759.2024.2444572Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergyZhi Zhang0Jianbao Gao1Shuaishuai Wei2Bo Song3Yonggang Yao4Xu Zheng5Yuanjie Zhang6Lei Zhang7Qiaojiao Li8Jiafeng Wu9Yusheng Shi10State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaWuhan Second Ship Design and Research Institute, Wuhan, People’s Republic of ChinaWuhan Second Ship Design and Research Institute, Wuhan, People’s Republic of ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaInspired by austenite and martensite crystal lattices in the NiTi microstructure with versatile performances, the bionic microlattice metamaterials with strut diameter from 0.4∼0.8 mm were constructed and prepared by the laser powder bed fusion for expanding the tailored mechanical-superelastic range, and the machine learning was utilized for mapping the relationship of various parameters. The mechanical-superelastic were highly related to orientation, the martensite-inspired microlattice metamaterial in the x-axis loading direction (M-x) possessed higher mechanical properties than that of the martensite-inspired microlattice metamaterials in the z-axis loading direction (M-z). For mechanical properties, the M-x possessed the highest Young's modulus (E=1001.5∼3720.4 MPa) and simultaneously the widest tailored range (87.32%), while the austenite-inspired microlattices metamaterial (A) exhibited a fully tailored ability for yield strength (σ). For superelastic, the austenite- and martensite-inspired microlattice metamaterial had superior superelasticity (98.10%∼99.36% recoverability) with wide volume tuning space, the M-x possessed the highest recoverability with a narrow tailored range. The relation between different parameters with mechanical and superelastic properties was established through machine learning, and multiple performance optimizations were carried out with vascular stents as typical application objectives. This research provides novel ideas for designing NiTi components, contributing to the future developments of different applications.https://www.tandfonline.com/doi/10.1080/17452759.2024.2444572NiTi shape memory alloymicrolattice metamaterialslaser powder bed fusionsuperelastic performancemachine learning |
| spellingShingle | Zhi Zhang Jianbao Gao Shuaishuai Wei Bo Song Yonggang Yao Xu Zheng Yuanjie Zhang Lei Zhang Qiaojiao Li Jiafeng Wu Yusheng Shi Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy Virtual and Physical Prototyping NiTi shape memory alloy microlattice metamaterials laser powder bed fusion superelastic performance machine learning |
| title | Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy |
| title_full | Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy |
| title_fullStr | Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy |
| title_full_unstemmed | Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy |
| title_short | Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy |
| title_sort | lattice inspired niti based metamaterials with widely tunable mechanical superelastic synergy |
| topic | NiTi shape memory alloy microlattice metamaterials laser powder bed fusion superelastic performance machine learning |
| url | https://www.tandfonline.com/doi/10.1080/17452759.2024.2444572 |
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