Guo Hao, Dong Chunlei, Han Qingquan, Jiang Hongyu, Sun Hongji, Sun Xuemei, Zhang Songlin, Peng Huisheng
State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai, 200438, China.
ACS Cent Sci. 2025 Jun 3;11(6):855-867. doi: 10.1021/acscentsci.5c00155. eCollection 2025 Jun 25.
Carbon nanotube (CNT) fibers, renowned for their theoretically high tensile strength, low density, and outstanding electrical conductivity, are promising candidates for cutting-edge applications in wearable electronics, bioengineering, and aerospace engineering. Despite their immense potential, the widespread adoption of CNT fibers faces critical barriers, including the challenge of enhancing macroscopic fiber performance and achieving scalable, consistent production. The extraordinary intrinsic properties of individual CNTs are not fully transferred to macroscopic fibers due to weak intertube interactions, misalignment, and structural defects. Among the available production methods, floating catalyst chemical vapor deposition stands out for its promise to enable the large-scale synthesis of CNT fibers. However, achieving consistent quality and scalability via this technique remains a significant obstacle. This outlook highlights the importance of innovative strategies for multiscale performance optimization and advances in scalable fabrication methodologies. A distinctive perspective on CNT fiber production is provided, emphasizing the integration of machine learning with process optimization strategies to enhance the uniformity and efficiency. The outlook systematically discusses these challenges, exploring strategies for multiscale performance optimization, scaled-up fabrication methodologies, and efficient manufacturing processes. Additionally, it examines the transformative applications of CNT fibers across diverse industries, underscoring their potential to revolutionize next-generation technologies.
碳纳米管（CNT）纤维以其理论上的高拉伸强度、低密度和出色的导电性而闻名，是可穿戴电子、生物工程和航空航天工程等前沿应用的有前途的候选材料。尽管它们具有巨大的潜力，但碳纳米管纤维的广泛应用面临着关键障碍，包括提高宏观纤维性能以及实现可扩展、一致生产的挑战。由于管间相互作用较弱、排列不齐和结构缺陷，单个碳纳米管的非凡固有特性并未完全传递到宏观纤维上。在现有的生产方法中，浮动催化剂化学气相沉积因其有望实现碳纳米管纤维的大规模合成而脱颖而出。然而，通过该技术实现一致的质量和可扩展性仍然是一个重大障碍。这一展望突出了多尺度性能优化创新策略以及可扩展制造方法进展的重要性。提供了一个关于碳纳米管纤维生产的独特视角，强调将机器学习与工艺优化策略相结合以提高均匀性和效率。该展望系统地讨论了这些挑战，探索了多尺度性能优化策略、扩大规模的制造方法和高效制造工艺。此外，它还研究了碳纳米管纤维在不同行业的变革性应用，强调了它们对下一代技术进行革命的潜力。
