Esposito Corcione Carola, Ferrari Francesca, Striani Raffaella, Greco Antonio
Dipartimento di Ingegneria dell'Innovazione, Università del Salento, 73100 Lecce, Italy.
Nanomaterials (Basel). 2021 Apr 16;11(4):1018. doi: 10.3390/nano11041018.
In this work, we studied the transport properties (thermal and electrical conductivity) of smart fabric materials treated with graphite nanomaterial stacks-acetone suspensions. An innovative and easy method to produce graphite nanomaterial stacks-acetone-based formulations, starting from a low-cost expandable graphite, is proposed. An original, economical, fast, and easy method to increase the thermal and electrical conductivity of textile materials was also employed for the first time. The proposed method allows the impregnation of smart fabric materials, avoiding pre-coating of the fibers, thus reducing costs and processing time, while obtaining a great increase in the transport properties. Two kinds of textiles, cotton and Lycra, were selected as they represent the most used natural and artificial fabrics, respectively. The impact of the dimensions of the produced graphite nanomaterial stacks-acetone-based suspensions on both the uniformity of the treatment and the transport properties of the selected textile materials was accurately evaluated using several experimental techniques. An empirical relationship between the two transport properties was also successfully identified. Finally, several theoretical models were applied to predict the transport properties of the developed smart fabric materials, evidencing a good agreement with the experimental data.
在这项工作中，我们研究了用石墨纳米材料堆叠-丙酮悬浮液处理的智能织物材料的传输特性（热导率和电导率）。提出了一种从低成本可膨胀石墨出发制备基于石墨纳米材料堆叠-丙酮配方的创新且简便的方法。还首次采用了一种新颖、经济、快速且简便的提高纺织材料热导率和电导率的方法。所提出的方法允许对智能织物材料进行浸渍，避免了纤维的预涂层，从而降低了成本和加工时间，同时在传输特性方面有大幅提高。选择了两种纺织品，棉和莱卡，因为它们分别代表了最常用的天然和人造织物。使用多种实验技术精确评估了所制备的基于石墨纳米材料堆叠-丙酮悬浮液的尺寸对所选纺织材料处理均匀性和传输特性的影响。还成功确定了两种传输特性之间的经验关系。最后，应用了几种理论模型来预测所开发的智能织物材料的传输特性，结果表明与实验数据吻合良好。
