当前位置: X-MOL 学术Polym. Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Structural tuning of polycaprolactone based thermadapt shape memory polymer
Polymer Chemistry ( IF 4.1 ) Pub Date : 2020/01/07 , DOI: 10.1039/c9py01891c
Wusha Miao 1, 2, 3, 4, 5 , Weike Zou 1, 2, 3, 4, 5 , Yingwu Luo 1, 2, 3, 4, 5 , Ning Zheng 1, 2, 3, 4, 5 , Qiao Zhao 1, 2, 3, 4, 5 , Tao Xie 1, 2, 3, 4, 5
Affiliation  

Dynamic covalent chemistry has reshaped our understanding of chemically crosslinked polymer networks, with broad implications on self-healing, reprocessable, and reconfigurable functional networks. Amongst them, transesterification based polycaprolactone (PCL) networks represent prototypical thermadapt shape memory polymers with unique permanent shape reconfigurability. Despite several studies on this system, structural factors that impact the solid-state plasticity behind the shape reconfigurability are poorly understood. In this work, PCL networks with precisely tunable crosslinking density and hydroxyl content were synthesized using a thiol–ene click reaction. This allows independent evaluation on how these two critical structural parameters determine the network rearrangement kinetics. In particular, we clarify an ambiguity on the role of the hydroxyl groups in such networks. This study leads to PCL based thermadapt shape memory polymers with tunable performance. On a broader basis, it also offers useful guidelines in designing transesterification based dynamic networks.

中文翻译:

基于聚己内酯的热固形形状记忆聚合物的结构调整

动态共价化学改变了我们对化学交联聚合物网络的理解,对自修复,可重加工和可重构功能网络具有广泛的意义。其中,基于酯交换作用的聚己内酯(PCL)网络代表具有独特的永久形状可重构性的原型热塑形状记忆聚合物。尽管对该系统进行了几项研究,但对形状可重构性背后的固态可塑性产生影响的结构因素知之甚少。在这项工作中,使用硫醇-烯点击反应合成了具有精确可调的交联密度和羟基含量的PCL网络。这允许对这两个关键结构参数如何确定网络重排动力学进行独立评估。特别是,我们阐明了羟基在此类网络中的作用不明确。该研究导致具有可调节性能的基于PCL的Thermadapt形状记忆聚合物。在更广泛的基础上,它也为设计基于酯交换的动态网络提供了有用的指导。
更新日期:2020-02-19
down
wechat
bug