Reinforcement of Polyimine Covalent Adaptable Networks with Mechanically Interlocked Derivatives of SWNTs.

Author:

Isasti Ion1,Miranda Silvia1,Jiménez David M.1,Parzyszek Sylwia1,Martín Sabanés Natalia1ORCID,Pedersen Henrik2,Pérez Emilio M.1ORCID

Affiliation:

1. IMDEA Nanociencia Ciudad Universitaria de Canto Blanco Faraday 9 Madrid E28049 Spain

2. Nanocore ApS Gothersgade 21 Copenhagen K DK‐1123 Denmark

Abstract

AbstractThere is an urgent need for new approaches to reduce the environmental impact of plastics. One approach is to enhance recyclability. Covalent adaptable networks (CANs), where crosslinks are chemically reversible, offer an attractive alternative to thermoset materials. Another option is to strengthen polymers using nanofillers, to reduce the amount of material needed. In this regard, single‐walled carbon nanotubes (SWNTs) are excellent candidates as fillers due to their extreme strength‐to‐weight ratio and dimensionality. Here, SWNTs functionalized as mechanically‐interlocked derivatives (MINTs) are shown to significantly improve the mechanical properties of polyimine (PI) CANs, with close to optimal efficiency. Enhancements in both stiffness and ultimate strength, approaching 100% load transfer considering the SWNT loading, are observed for PI MINT, while composites made with pristine SWNTs exhibit poor improvement. The PI MINT CANs can be recycled both thermally and chemically without compromising their mechanical properties. Finally, prototype carbon fiber PI MINT laminar composites are also fabricated and characterized, demonstrating a significant increase in their mechanical properties.

Funder

Ministerio de Ciencia e Innovación

Comunidad de Madrid

European Commission

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