School of Textile and Materials Engineering, Dalian Polytechnic University, #1 Qing gong yuan, Ganjingzi, Dalian 116034, Liaoning, PR China.
College of Textile and Clothing, Hunan Institute of Engineering, Xiangtan 411104, PR China.
Int J Biol Macromol. 2024 Nov;281(Pt 1):135819. doi: 10.1016/j.ijbiomac.2024.135819. Epub 2024 Sep 26.
The current textiles primarily employ passive heat barriers to minimize heat loss and achieve effective thermal insulation for human beings. Accordingly, intelligent fibers with energy storage and temperature control capabilities have garnered significant attention due to their potential to revolutionize textile technology. The study integrates the photo-thermal effect and phase change energy storage materials onto a fiber, thereby fabricating a fully intelligent energy storage fiber. This innovation enables the multi-level conversion of sunlight: "Optical energy - Thermal energy - Phase transition energy - Thermal energy". The intelligent fiber efficiently converts solar energy into heat energy through the photo-thermal coupling of CuNPs, subsequently inducing a spatial conformational change in the solid-solid phase change material within the fiber for effective heat storage. The hybrid fiber possesses enhanced mechanical properties but also exhibits a significantly high phase transition enthalpy value of 49.75 J g and a phase transition temperature suitable for human body temperature (20.19-30.21 °C), especially the fiber is more durable. The photo-thermal conversion test vividly demonstrates the systematic transformation of four distinct forms of energy within the composite fiber. This approach holds significant potential for advancing the field of smart fiber technology.
目前的纺织品主要采用被动隔热屏障来最大限度地减少热量损失,并为人体实现有效的热绝缘。因此,具有储能和温度控制能力的智能纤维由于有可能彻底改变纺织技术而引起了极大的关注。本研究将光热效应和相变储能材料集成到纤维上,从而制造出全智能储能纤维。这项创新实现了太阳光的多层次转换:“光能-热能-相变能-热能”。智能纤维通过 CuNPs 的光热耦合,高效地将太阳能转化为热能,随后引发纤维内固-固相变材料的空间构象变化,从而有效储能。混合纤维具有增强的机械性能,同时表现出显著的高相变焓值 49.75 J g 和适合人体温度的相变温度(20.19-30.21°C),特别是纤维更耐用。光热转换测试生动地展示了复合纤维内四种不同形式能量的系统转换。这种方法为推进智能纤维技术领域具有重要意义。