Shape memory surface adhesion control based on PU-CNC/PS electrospun composite films

Author:

Yu Xiang1,Fan Weiqiang1,Wang Yongzhen12ORCID,Liu Rulin1,Zou Jing1,Liu Yaming1,Zhi Chao1ORCID,Meng Jiaguang12

Affiliation:

1. School of Textile Science and Engineering, Xi’an Polytechnic University, China

2. Key Laboratory of Functional Textile Material and Product, Xi’an Polytechnic University, China

Abstract

Wettability is a fundamental property of solid surfaces. The adhesion of liquids to solid surfaces, especially the intelligent control of surface adhesion, plays an important role in the wettability field, showing broad prospects in self-cleaning, anti-icing, oil–water separation and chemical reactions, etc. In this work, a new shape memory composite film was prepared by electrospinning, consisting of water-responsive shape memory substrate of polyurethane-cellulose nanocrystalline composite fibers and a superhydrophobic polystyrene spindle-fiber surface. Benefiting from the water-responsive shape memory performance of polyurethane-cellulose nanocrystalline substrate, the polystyrene surface spindle-fiber microstructures show sparse-dense switching during the stretching-recovery shape memory cycle, giving rise to smart control of surface adhesive behavior in superhydrophobic high-low adhesion. Given the flexibility and versatility, we demonstrate applications of the shape memory composite film in lossless droplet transfer, selective manipulation of multiple droplets, and smart detection. The composite film would provide potential applications in intelligent platforms, microliquid systems, and wearable fields, etc.

Funder

Science and Technology Guiding Project of China National Textile and Apparel Council

Innovation Capability Support Program of Shaanxi

Young Talent Fund of Association for Science and Technology in Shaanxi, China

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

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