Study and modeling of fabric hydric behavior to improve wearer comfort

Author:

Marolleau A123ORCID,Salaün F1,Dupont D12,Gidik H12,Ducept S3

Affiliation:

1. ENSAIT, GEMTEX - Laboratoire de Génie et Matériaux Textiles, France

2. HEI-Yncréa, France

3. DAMART, France

Abstract

In this study, the sorption and desorption isotherms from the dynamic vapor sorption test are modeled by using six different models, that is, the (i) BET (Brunauer–Emmett–Teller), (ii) modified BET, (iii) GAB (Guggenheim–Anderson–Boer), (iv) PEK (parallel exponential kinetics), (v) HH (Hailwood–Horrobin), and (vi) Nelson and Young models. The application principle of each model is explained and a comparison is done between these models, based on the understanding of sorption mechanisms on or into the textile substrates. They mainly depend on the chemical nature of the fibers used to manufacture the samples. Thus, the presence of various sorption/desorption sites on the surface and/or in the inner core of hydrophilic materials promotes the formation of more hydrogen bonds with water vapor molecules than for hydrophobic materials. Among these previous used models, the PEK, HH, and Nelson and Young models were studied to analyze the water molecule diffusion into the structures, while the GAB and BET models were selected to gain information on the water uptaken as the monolayer and energies of interactions between fibers and water molecules. By understanding the hydric behavior of fabrics during sorption/desorption processes, the fiber blends can be modified for improving the wearer comfort.

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3