Study of thermally conductive polyurethane/boron nitride composite fibers: Fabrication, characterization, properties and textile applications

Author:

Xu Jiahao1,Zhang Jiajing12,Xia Liangjun1,Hu Xiaoqing1,Zhang Chunhua1ORCID,Liu Xin1

Affiliation:

1. State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile University Wuhan China

2. College of Textile Science and Engineering Zhejiang Sci‐Tech University Hangzhou China

Abstract

AbstractPolyurethane resin (PU) and boron nitride (BN) are used to develop a series of boron nitride/polyurethane (BN/PU) composite fibers by a wet‐spinning method. The thermal conductivity of the composite fibers was improved by blending modified thermally conductive particles with polymer. The improvement of thermal conductivity depends largely on the interfacial effect between them. The results show that PU composite fabric filled with BN functionalized with polyethylenimine and glutaraldehyde (GPBN/PUF) has a high thermal conductivity, revealing an increase of 226% compared to the PU fabric. The GPBN/PUF fabric can reduce the simulated skin temperature by 2.3°C compared with conventional cotton fabric. Additionally, the as‐prepared GPBN/PUF fabric possesses good mechanical stability and washability. This work provides a strategy for developing flexible heat‐conducting fabric.Highlights The stability of the PEI coating formed on the BN surface was significantly improved by GA cross‐linking. The composite fiber fabric has improved thermal conductivity and good mechanical properties. The composite fiber fabric can dissipate heat quickly in practical applications.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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