Smart adhesion by surface treatment experimental and theoretical insights

Author:

Wang Chunxia1,Xu Lin1,Liu Guoliang2,Ren Yu3,Lv Jinchun2,Gao Dawei2,Lu Zhenqian2

Affiliation:

1. College of Textiles and Clothing, Yancheng Institute of Technology, Jiangsu, China + School of Textile and Clothing, Nantong University, Jiangsu, China

2. College of Textiles and Clothing, Yancheng Institute of Technology, Jiangsu, China

3. School of Textile and Clothing, Nantong University, Jiangsu, China

Abstract

To investigate how plasma treatment affected the surface structure and adhesion to polypropylene matrix and unsaturated polyester matrix, green abaca fibers were treated by low temperature plasma under different plasma processing parameters including treatment time, output power, and working gas. Abaca fibers were characterized by atomic force microscope, X-ray photoelectron spectroscopy, contact angle and interfacial shear strength. The results of contact angle and interfacial shear strength were consistent with the changes in surface roughness and the atomic ratio of the plasma treated abaca fibers with treatment time, output power, and working gas. It was concluded that the surface roughness and atomic ratio played a major role in the adhesion improvement of the plasma treated abaca fibers to polypropylene matrix and unsaturated polyester matrix due to the mechanical interlocking and chemical bonding, respectively. The geometrical potential theory was adopted to elucidate the mechanism of the adhesion property.

Publisher

National Library of Serbia

Subject

Renewable Energy, Sustainability and the Environment

Cited by 26 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