具有排放性调节的适应性织物,用于人类的热管理
Xiansheng Li1, Meiling Liu2, Ken Chen1
1Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China.
Nanophotonics (Berlin, Germany)
|December 5, 2024
概括
这项研究介绍了一种智能织物,可以调整其散热. 光谱自适应智能织物 (SSSF) 在不同的活动水平下调整发射率以获得热舒适性.
科学领域:
- 材料科学 材料科学 材料科学
- 织工程 织工程 织工程
- 热管理 热管理
背景情况:
- 人体的热量产生在休息和活动之间大幅波动.
- 最佳的热舒适需要动态的散热策略.
- 现有的织物缺乏适应各种生理状态的适应能力.
研究的目的:
- 开发用于动态热管理的光谱自适应智能织物 (SSSF).
- 根据身体的水分状态 (从干到湿) 进行自主排放性调整.
- 为了提高个人热舒适度在不同的活动水平.
主要方法:
- 用银纳米线涂覆聚织物,以创建SSSF.
- 在干燥 (低排放) 和湿 (高排放) 状态下研究织物的排放性.
- 进行比较实验以评估热管理性能.
主要成果:
- 在干燥状态下,SSSF具有低排放率 (0.39),用于隔热.
- 在湿状态下发射率增加到0.83,增强了散热.
- 与传统面料相比,散热功率 (低排放率) 减少了19.5%,增强了67.6% (过渡到高排放率).
结论:
- SSSF提供了一种适应性方法来调节发射率,以实现有效的动态散热.
- 这项技术提供了一种可行的解决方案,用于在不同的人类活动状态下改善热舒适度.
- 这种光谱自适应的智能织物代表了智能织应用的重大进步.
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