Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks
ABSTRACTNanofiber networks are effective structural forms to utilize the excellent nanoscale properties of nanofibers in macro scale. Properly tuning the anisotropic degree of fiber orientation distribution can maximize the macroscopic mechanical properties of random nanofiber networks in a specific...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-01-01
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| Series: | International Journal of Smart and Nano Materials |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475411.2023.2179681 |
| _version_ | 1797871883138367488 |
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| author | Baorang Cui Fei Pan Jingxiu Zhang Feng Zhang Yong Ma Yuli Chen |
| author_facet | Baorang Cui Fei Pan Jingxiu Zhang Feng Zhang Yong Ma Yuli Chen |
| author_sort | Baorang Cui |
| collection | DOAJ |
| description | ABSTRACTNanofiber networks are effective structural forms to utilize the excellent nanoscale properties of nanofibers in macro scale. Properly tuning the anisotropic degree of fiber orientation distribution can maximize the macroscopic mechanical properties of random nanofiber networks in a specific direction. However, the reinforcing mechanism of the anisotropic orientation distribution to the elastic behavior has not been fully understood. In this paper, the effect of anisotropic orientation distribution of nanofibers on the elastic behavior of network is studied based on the modulus-density scaling relation and stiffness thresholds. The uniaxial modulus of network is determined by both the orientation angle of each fiber and interconnectivity of the random fiber network. With the increase of anisotropic degree, the contribution of fiber orientation angle to the network modulus of the preferential direction increases and gradually tends to a constant, while the interconnectivity of the networks decreases, which may reduce the loadability of network. Therefore, at a given network density, the uniaxial modulus along the preferential direction first increases to a maximum value and then decreases with the increase of the anisotropic degree. Furthermore, an expression to predict the optimal anisotropic degrees corresponding to the maximum uniaxial moduli at different network densities is established. |
| first_indexed | 2024-04-10T00:51:09Z |
| format | Article |
| id | doaj.art-c0dc507ebc21411dbcbc9233599b7860 |
| institution | Directory Open Access Journal |
| issn | 1947-5411 1947-542X |
| language | English |
| last_indexed | 2024-04-10T00:51:09Z |
| publishDate | 2023-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Smart and Nano Materials |
| spelling | doaj.art-c0dc507ebc21411dbcbc9233599b78602023-03-13T11:01:49ZengTaylor & Francis GroupInternational Journal of Smart and Nano Materials1947-54111947-542X2023-01-0114112213810.1080/19475411.2023.2179681Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networksBaorang Cui0Fei Pan1Jingxiu Zhang2Feng Zhang3Yong Ma4Yuli Chen5Institute of Solid Mechanics, Beihang University, Beijing, ChinaSchool of Aeronautic Science and Engineering, Beihang University, Beijing, ChinaInstitute of Solid Mechanics, Beihang University, Beijing, ChinaInstitute of Solid Mechanics, Beihang University, Beijing, ChinaInstitute of Solid Mechanics, Beihang University, Beijing, ChinaInstitute of Solid Mechanics, Beihang University, Beijing, ChinaABSTRACTNanofiber networks are effective structural forms to utilize the excellent nanoscale properties of nanofibers in macro scale. Properly tuning the anisotropic degree of fiber orientation distribution can maximize the macroscopic mechanical properties of random nanofiber networks in a specific direction. However, the reinforcing mechanism of the anisotropic orientation distribution to the elastic behavior has not been fully understood. In this paper, the effect of anisotropic orientation distribution of nanofibers on the elastic behavior of network is studied based on the modulus-density scaling relation and stiffness thresholds. The uniaxial modulus of network is determined by both the orientation angle of each fiber and interconnectivity of the random fiber network. With the increase of anisotropic degree, the contribution of fiber orientation angle to the network modulus of the preferential direction increases and gradually tends to a constant, while the interconnectivity of the networks decreases, which may reduce the loadability of network. Therefore, at a given network density, the uniaxial modulus along the preferential direction first increases to a maximum value and then decreases with the increase of the anisotropic degree. Furthermore, an expression to predict the optimal anisotropic degrees corresponding to the maximum uniaxial moduli at different network densities is established.https://www.tandfonline.com/doi/10.1080/19475411.2023.2179681Random nanofiber networknanofiber alignmentuniaxial modulusstiffness thresholdoptimal design |
| spellingShingle | Baorang Cui Fei Pan Jingxiu Zhang Feng Zhang Yong Ma Yuli Chen Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks International Journal of Smart and Nano Materials Random nanofiber network nanofiber alignment uniaxial modulus stiffness threshold optimal design |
| title | Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks |
| title_full | Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks |
| title_fullStr | Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks |
| title_full_unstemmed | Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks |
| title_short | Optimal alignment for maximizing the uniaxial modulus of 2D anisotropic random nanofiber networks |
| title_sort | optimal alignment for maximizing the uniaxial modulus of 2d anisotropic random nanofiber networks |
| topic | Random nanofiber network nanofiber alignment uniaxial modulus stiffness threshold optimal design |
| url | https://www.tandfonline.com/doi/10.1080/19475411.2023.2179681 |
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