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Revealing the morphological architecture of a shape memory polyurethane by simulation

机译:通过仿真揭示形状记忆聚氨酯的形态结构

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摘要

The lack of specific knowledge of the network structure in shape memory polymers (SMPs) has prevented us from gaining an in-depth understanding of their mechanisms and limited the potential for materials innovation. This paper firstly reveals the unit-cell nanoscale morphological architecture of SMPs by simulation. The phase separated architecture of a segmented shape memory polyurethane (SMPU) with a 30 wt% hard segment content (HSC, 4,4’-diphenylmethane diisocyanate (MDI) and 1,4-butanediol (BDO)) showing good shape memory properties was investigated by dissipative particle dynamics (DPD) simulations. A linked-spherical netpoint-frame phase of MDI, a matrix-switch phase of polycaprolactone (PCL) and a connected-spider-like interphase for BDO were obtained for this SMPU. The BDO interphase can reinforce the MDI network. Based on these simulation results, a three-dimensional (3D) overall morphological architectural model of the SMPU can be established. This theoretical study has verified, enriched and integrated two existing schematic models: one being the morphological model deduced from experiments and the other the frame model for SMPs reported before. It can serve as a theoretical guide for smart polymeric materials design. This method for the simulation of polymer structure at the nanoscale can be extended to many areas such as photonic crystals where nanoscale self-assembly plays a vital role.
机译:形状记忆聚合物(SMP)中缺乏对网络结构的专门知识,这使我们无法深入了解其机理,并限制了材料创新的潜力。本文首先通过仿真揭示了SMP的单位细胞纳米形态结构。具有30 wt%硬链段含量(HSC,4,4'-二苯基甲烷二异氰酸酯(MDI)和1,4-丁二醇(BDO))的分段形状记忆聚氨酯(SMPU)的相分离架构显示出良好的形状记忆特性通过耗散粒子动力学(DPD)模拟进行了研究。对于该SMPU,获得了MDI的链接球形网点框架相,聚己内酯(PCL)的矩阵转换相和BDO的类似连接的蜘蛛状相。 BDO相间可以增强MDI网络。基于这些仿真结果,可以建立SMPU的三维(3D)总体形态构架模型。这项理论研究已经验证,丰富和整合了两个现有的示意图模型:一个是通过实验推导的形态模型,另一个是之前报道的SMP的框架模型。它可以作为智能聚合材料设计的理论指南。这种用于模拟纳米级聚合物结构的方法可以扩展到许多领域,例如光子晶体,其中纳米级自组装起着至关重要的作用。

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