Skin-Inspired Zero Carbon Heat-Moisture Management Based on Shape Memory Smart Fabric

IF 17.2 1区 工程技术 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Jing Zou, Yongzhen Wang, Xiang Yu, Rulin Liu, Weiqiang Fan, Jing Cheng, Weiyi Cai
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Abstract

Excessive energy consumption, especially space heating and cooling, is one of the major challenges facing mankind. Smart heat-moisture management textiles can effectively regulate heat-moisture comfort between the environment and skin, greatly reducing energy consumption; these results are in line with sustainable development goals. In this work, a skin-inspired adaptive heat-regulating fabric based on heat-responsive shape-memory ethylene vinyl acetate copolymer fibres and traditional cotton fabric is used. Furthermore, single-sided hydrophobic finishing is introduced to provide the fabric with unidirectional moisture transport. Owing to the shape memory effect, the smart fabric has an environment-adaptive and responsive dynamic structure in the form of a heat-induced gap opening and cool-induced gap closing. As a result, the heat conductivity of the smart textile can be switched from 0.086 to 0.089 W/m·K. Moreover, the air permeability and moisture evaporation can be regulated between 443.5 mm/s, 1761.81 g/(d·m2) and 461.7 mm/s, 1963.8 g/(d·m2), reversibly and repeatedly; the unidirectional moisture transport capacity with a unidirectional moisture index of 193.2 can also be regulated to synergistically improve the heat-moisture comfort, and the entire process results in zero carbon emission. Moreover, we demonstrate the application of the smart adaptive fabric in heat-moisture management fields, attaining a cooling effect of 4.35 °C and a breathability difference of 89.6 mm/s; these values correspond to more than 30% building cooling and heating energy savings, and these results are in line with the sustainable and zero-carbon trends. The shape memory adaptive heat-moisture management fabric will likely have broad prospects in smart thermoregulation textiles, wearable fields, electronic skin, outdoor, medical, military, and energy-saving fields.

Graphical Abstract

基于形状记忆智能织物的皮肤启发零碳热湿管理
过度的能源消耗,特别是空间供暖和制冷,是人类面临的重大挑战之一。智能热湿管理纺织品,有效调节环境与皮肤的热湿舒适度,大大降低能耗;这些成果符合可持续发展目标。在这项工作中,使用了基于热响应形状记忆乙烯醋酸乙烯共聚物纤维和传统棉织物的皮肤启发自适应热调节织物。此外,还引入了单面疏水整理,为织物提供单向输湿。由于形状记忆效应,智能织物具有热致间隙开启和冷致间隙关闭的环境自适应响应动态结构。因此,智能纺织品的导热系数可以从0.086切换到0.089 W/m·K。透气性和水分蒸发可在443.5 mm/s (1761.81 g/(d·m2) ~ 461.7 mm/s (1963.8 g/(d·m2)之间可逆反复调节;调节单向水分输送能力,单向水分指数为193.2,可协同提高热湿舒适性,整个过程实现零碳排放。此外,我们展示了智能自适应织物在热湿管理领域的应用,实现了4.35°C的冷却效果和89.6 mm/s的透气性差异;这些数值对应于30%以上的建筑制冷和供暖节能,这些结果符合可持续和零碳的趋势。形状记忆自适应热湿管理织物在智能调温纺织品、可穿戴、电子皮肤、户外、医疗、军事、节能等领域具有广阔的应用前景。图形抽象
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来源期刊
CiteScore
18.70
自引率
11.20%
发文量
109
期刊介绍: Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al. Publishing on fiber or fiber-related materials, technology, engineering and application.
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