Carbon Nanotube Textile Fabrication by Programmable Self-Assembly
可编程自组装碳纳米管纺织品制造
基本信息
- 批准号:1825758
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Carbon nanotubes are extremely fine, lightweight fibers having outstanding strength and electric properties. With suitable weaving technology, smart carbon nanotube textiles could enable multi-functionalities such as sensing, thermal regulation, health monitoring, and wearable prosthetics with embedded energy storage. However, weaving carbon nanotubes into fabrics using current technologies faces several challenges due to their short lengths and their tendency to aggregate into random clusters. This award studies programmable self-assembly of carbon nanotubes to overcome these challenges and fabricate smart textiles and fabrics. The fabrication process relies on liquid surface tension to autonomously weave carbon nanotubes into continuous fabrics. More broadly, the project advances the knowledge needed to transform nanostructure self-assembly processes to scalable nanomanufacturing technologies applicable to a wide range of industries and products, thus impacting national prosperity and society. The project engages middle and high school students, women and minorities in inspiring outreach programs at the intersection of engineering, biology and the arts. New education modules called The Art and Life of Cilia are developed to demonstrate a palette of nature-inspired fibrous materials and their use in designing various textures, patterns and functionalities. These education activities connect materials science and manufacturing to art and design using examples ranging from the physics of painting brushes and bird feathers to the processing of engineering materials. The objective of this study is to reveal the dynamics of capillary self-assembly of carbon nanotubes (CNTs) into meter-scale engineering textiles. Complex self-assembly dynamics, which occur at extremely small time and spatial scales, govern the uniformity of this fabrication process. By exploiting the dynamics of capillary self-assembly, a new paradigm of textile manufacturing by self-weaving can be realized. Programmable self-assembly can produce CNT textiles with unprecedented precision and repeatability at high throughput. This project includes a study of the kinetics of CNTs self-weaving by new mathematical dynamics models and experimental validation by in situ high-speed imaging. The processing conditions, including the choice of liquid, the residual polymers in the textile, and the weaving topology, are studied towards developing continuous roll-to-roll defect-free self-weaving process. A variety of complex self-woven textile architectures are produced by the programmable self-assembly of highly aligned CNTs, and studied for applications in smart textiles.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
碳纳米管是一种非常精细、重量轻的纤维,具有出色的强度和电性能。通过适当的编织技术,智能碳纳米管纺织品可以实现多种功能,如传感、热调节、健康监测和嵌入式能量存储的可穿戴假肢。然而,利用现有技术将碳纳米管编织成织物面临着一些挑战,因为它们的长度很短,而且它们倾向于随机聚集成簇。该奖项研究碳纳米管的可编程自组装,以克服这些挑战并制造智能纺织品和织物。制造过程依靠液体表面张力自动将碳纳米管编织成连续的织物。更广泛地说,该项目推进了将纳米结构自组装工艺转化为可扩展的纳米制造技术所需的知识,这些技术适用于广泛的行业和产品,从而影响国家繁荣和社会。该项目吸引了中学生、女性和少数族裔参与工程、生物和艺术交叉领域的鼓舞人心的推广项目。新的教育模块名为“纤毛的艺术与生活”,旨在展示受自然启发的纤维材料的调色板,以及它们在设计各种纹理、图案和功能方面的应用。这些教育活动将材料科学和制造与艺术和设计联系起来,使用的例子从画笔和鸟羽毛的物理学到工程材料的加工。本研究的目的是揭示碳纳米管(CNTs)在米尺度工程纺织品中的毛细管自组装动力学。复杂的自组装动力学,发生在极小的时间和空间尺度,控制了这种制造过程的均匀性。利用毛细自组装的动力学特性,可以实现一种新的纺织自织造模式。可编程自组装可以在高吞吐量下以前所未有的精度和可重复性生产碳纳米管纺织品。该项目包括通过新的数学动力学模型研究碳纳米管自编织的动力学,并通过原位高速成像进行实验验证。为开发无缺陷连续卷对卷自织造工艺,研究了工艺条件,包括液体的选择、织物中聚合物残留、织造拓扑结构等。通过高度排列的碳纳米管的可编程自组装制备了各种复杂的自编织纺织结构,并研究了其在智能纺织品中的应用。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Dynamic pattern selection in polymorphic elastocapillarity
- DOI:10.1039/d1sm01376a
- 发表时间:2021-11-24
- 期刊:
- 影响因子:3.4
- 作者:Ha, Jonghyun;Kim, Yun Seong;Tawfick, Sameh
- 通讯作者:Tawfick, Sameh
Swelling, softening, and elastocapillary adhesion of cooked pasta
- DOI:10.1063/5.0083696
- 发表时间:2022-04-01
- 期刊:
- 影响因子:4.6
- 作者:Hwang, Jonghyun;Ha, Jonghyun;Tawfick, Sameh
- 通讯作者:Tawfick, Sameh
Polymorphic display and texture integrated systems controlled by capillarity.
- DOI:10.1126/sciadv.adh1321
- 发表时间:2023-06-30
- 期刊:
- 影响因子:13.6
- 作者:Ha, Jonghyun;Kim, Yun Seong;Li, Chengzhang;Hwang, Jonghyun;Leung, Sze Chai;Siu, Ryan;Tawfick, Sameh
- 通讯作者:Tawfick, Sameh
Hydrodynamic Elastocapillary Morphing of Hair Bundles
- DOI:10.1103/physrevlett.125.254503
- 发表时间:2020-12-16
- 期刊:
- 影响因子:8.6
- 作者:Ha, Jonghyun;Kim, Yun Seong;Tawficke, Sameh
- 通讯作者:Tawficke, Sameh
Digital Texture Voxels for Stretchable Morphing Skin Applications
- DOI:10.1002/admt.201900260
- 发表时间:2019-08-01
- 期刊:
- 影响因子:6.8
- 作者:Lamuta, Caterina;He, Honglu;Tawfick, Sameh
- 通讯作者:Tawfick, Sameh
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Sameh Tawfick其他文献
Automatic detection of hidden defects and qualification of additively manufactured parts using X-ray computed tomography and computer vision
- DOI:
10.1016/j.mfglet.2024.09.147 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Miles V. Bimrose;Tianxiang Hu;Davis J. McGregor;Jiongxin Wang;Sameh Tawfick;Chenhui Shao;Zuozhu Liu;William P. King - 通讯作者:
William P. King
High cycle performance of twisted and coiled polymer actuators
- DOI:
10.1016/j.sna.2024.116041 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Samuel Tsai;Qiong Wang;Ohnyoung Hur;Michael D. Bartlett;William P. King;Sameh Tawfick - 通讯作者:
Sameh Tawfick
Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography
- DOI:
10.1007/s10845-024-02466-4 - 发表时间:
2024-07-17 - 期刊:
- 影响因子:7.400
- 作者:
Miles V. Bimrose;Tianxiang Hu;Davis J. McGregor;Jiongxin Wang;Sameh Tawfick;Chenhui Shao;Zuozhu Liu;William P. King - 通讯作者:
William P. King
Pivot bearings for efficient torsional magneto-mechanical resonators
用于高效扭转磁机械谐振器的枢轴轴承
- DOI:
10.1016/j.ymssp.2025.112306 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:8.900
- 作者:
Chengzhang Li;Ali Kanj;Jiheng Jing;Gaurav Bahl;Sameh Tawfick - 通讯作者:
Sameh Tawfick
Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography
- DOI:
10.1016/j.jmatprotec.2022.117605 - 发表时间:
2022-08-01 - 期刊:
- 影响因子:
- 作者:
Davis J. McGregor;Miles V. Bimrose;Sameh Tawfick;William P. King - 通讯作者:
William P. King
Sameh Tawfick的其他文献
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