4D printing of high-performance shape memory polymer with double covalent adaptive networks

IF 9.9 Q1 MATERIALS SCIENCE, COMPOSITES
Zhangzhang Tang , Gao Deng , Yiyuan Sun , Liming Tao , Chao Wang , Zenghui Yang , Peng Liu , Qihua Wang , Yaoming Zhang , Tingmei Wang
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引用次数: 0

Abstract

Achieving 4D printing of shape memory polymers with both high strength and high transition temperature remains challenging due to the inherent incompatibility between the rigid molecular structure required for high strength and the molecular structure that moves on demand necessary for the shape memory effect, the limitations of high-performance polymer reaction kinetics, as well as internal stress during the printing process. Here, a direct ink writing (DIW) printed high-precision cyanate ester-urethane (CU) shape memory polymer with excellent performance was accomplished by incorporating two dynamic covalent bonds (carbamate and cyanuric acid) through copolymerizing cyanate ester with polyurethane acrylates. During curing, carbamate and cyanuric acid enable stress relaxation and polymer network rearrangement, facilitating the permanent reconfiguration of CU to form a novel triazine network structure. As a result, a high mechanical properties CU with excellent strength (83 MPa) and superior Young's modulus (2.37 GPa) were obtained, besides, the transition temperature (near 250 °C) is the highest in comparison to currently reported 4D-printed shape memory polymers. Furthermore, this reconfigurability was demonstrated by imprinting various surface patterns at microscopic level. Moreover, the reconfigurability of CU provides a novel strategy for smart molds in deformation and easy demolding. Overall, this study opens up a new avenue for the development of high-performance 4D printed shape memory polymers.
具有双共价自适应网络的高性能形状记忆聚合物的4D打印
实现具有高强度和高转变温度的形状记忆聚合物的4D打印仍然具有挑战性,因为高强度所需的刚性分子结构与形状记忆效应所需的按需移动的分子结构之间存在固有的不兼容性,高性能聚合物反应动力学的局限性以及打印过程中的内应力。通过氰酸酯与聚氨酯丙烯酸酯的共聚,形成两个动态共价键(氨基甲酸酯和氰尿酸),实现了一种性能优异的直接油墨书写(DIW)印刷高精度氰酸酯-聚氨酯(CU)形状记忆聚合物。在固化过程中,氨基甲酸酯和氰尿酸使CU的应力松弛和聚合物网络重排,促进CU的永久重配置,形成新的三嗪网络结构。结果表明,该材料具有优异的强度(83 MPa)和优异的杨氏模量(2.37 GPa),并且其转变温度(接近250℃)是目前报道的3d打印形状记忆聚合物中最高的。此外,这种可重构性在微观水平上通过印迹各种表面图案得到了证明。此外,CU的可重构性为智能模具的变形和易脱模提供了一种新的策略。总的来说,本研究为高性能4D打印形状记忆聚合物的开发开辟了一条新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Industrial and Engineering Polymer Research
Advanced Industrial and Engineering Polymer Research Materials Science-Polymers and Plastics
CiteScore
26.30
自引率
0.00%
发文量
38
审稿时长
29 days
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