通过Diels-Alder反应和多重氢键构筑具有自修复功能的PCL-PEG可逆交联网络及其三重形状记忆行为研究

项目名称： 通过Diels-Alder反应和多重氢键构筑具有自修复功能的PCL-PEG可逆交联网络及其三重形状记忆行为研究

项目编号： No.51273120

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 一般工业技术

项目作者： 杨科珂

作者单位： 四川大学

项目金额： 79万元

中文摘要： 由于三重形状记忆高分子材料(TSP)在外界刺激下可以实现对三种不同形状的固定和恢复，引起了研究人员的广泛关注。本项目将结晶能力强和链段柔韧性好的PCL和PEG链段通过Diels-Alder反应或氢键自组装两种不同的具有温度可逆性的键(缔)合方式，构造出PCL-PEG可逆交联网络。该体系中具有三个温度响应的分子开关，其中PCL和PEG链段分别充当TSP的两个可逆转变相，通过温度程序启动其结晶和熔融，实现对两种不同临时形状的固定和回复。而由Diels-Alder反应或氢键自组装构筑的交联点则控制其初始形状的记忆和恢复。同时利用其温度可逆性，可触动材料自修复功能和反复成型加工性。研究两种不同交联方式对可逆交联网络形状记忆性能及其可逆性的影响，研制出性能优异的TSP材料。该材料即具备了交联网络在形状记忆性能方面的优异体现，同时又具有热塑性材料可反复加工的优势，有望在更加广泛的领域中得到应用。

中文关键词： 形状记忆；Diels-Alder 反应；多重氢键；动态网络；自修复

英文摘要： Triple-shape polymers (TSP) have the ability to change and recovery between three different shape in a predefined way upon appropriate stimulation, which attract great attention in recent year. However, the traditional polymer networks employed in TSP are almost based on the non-reversible covalent bond, which will limit its application to a certain extent. Recently, a new concept to construct reversible network has been highly concerned, and a series of promising materials, such as recyclable rubber and epoxy resin, have been developed. It enlightens us to apply this concept into the molecular design of triple-shape polymer network. This project aims to develop a novel thermoreversible triple-shape poly(?-caprolactone)-poly(ethylene glycol) (PCL-PEG) network via Diels-Alder reaction and self-complementary hydrogen bond, and the architecture of polymer networks could be well-defined and thermodynamically controlled. Three molecular switches will be assembled in this novel system. Firstly, the flexible and crystallizable PCL and PEG segments act as two switch domains of TSP which dominant the fixing and recovery of two temporary shapes. The melt temperature of PCL (Tm,PCL) and PEG (Tm,PEG) segments employ as transition temperature (Ttrans,A and Ttrans,B). In addition, the corsslink pionts of PCL-PEG network acts

英文关键词： shape memory；Diels-Alder reaction；hydrogen bond；dynamic network；self-healing