Abstract

As homeotherms, human beings rely on garments to maintain thermal equilibrium and comfort. When clothing cannot meet their thermal comfort requirements, they have to use the heating, ventilation, and air conditioning system (HVAC) for thermal regulation, which causes huge energy waste and environmental pollution. Developing a thermoregulatory garment with excellent thermal comfort is undoubtedly an urgent demand for smart textile and advanced materials. In this article, we propose an air-driven structure, called soft-logic fabric, with outstanding thermoregulation, inspired by the thermal management mechanism of birds' plumage. Experiments reveal that the thermal resistance of soft-logic samples increases by 15 times after inflation, which can effectively reduce heat loss of the human body. The insulation performance of the inflated soft-logic fabric system is higher than that of high thermal-efficiency polyester wadding (thickness = 8 mm) and that of the wool blend fabric (thickness = 4.52 mm, 80% wool, 20% polyester). A 20 cm² sample can lift an object 270 times heavier than its own weight after hand-pumping for only up to ten times. Based on the predicted mean vote (PMV) and the predicted percentage of dissatisfied (PPD) model, this design can create a thermal comfort setpoint range 3.84 times wider than that of classic fabrics. Furthermore, an automatic inflation control system is developed for inflatable thermoregulation garments. This study opens up a new path for the design of intelligent thermoregulatory fabrics and personal thermal management.

摘要

作为恒温动物，人类依靠服装来维持热平衡和舒适度。当服装不能满足其热舒适性要求时，不得不使用暖通空调系统（HVAC）进行热调节，造成了巨大的能源浪费和环境污染。开发具有优异热舒适性的温度调节服装无疑是对智能纺织品和先进材料的迫切需求。在本文中，我们提出了一种空气驱动结构，称为软逻辑织物，其具有出色的体温调节功能，其灵感来自鸟类羽毛的热管理机制。实验表明，软逻辑样本在充气后热阻增加15倍，可有效减少人体热损失。充气软逻辑织物系统的保温性能高于高热效涤棉（厚度=8mm）和羊毛混纺面料（厚度=4.52mm，80%羊毛，20%涤纶）。一个 20 厘米²样品在手动泵送最多 10 次后，可以举起比自身重量重 270 倍的物体。基于预测平均投票 (PMV) 和预测不满意百分比 (PPD) 模型，该设计可以创建比经典面料宽 3.84 倍的热舒适设定值范围。此外，还开发了一种用于充气温度调节服装的自动充气控制系统。该研究为智能体温调节面料和个人热管理的设计开辟了新途径。