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通过原位聚合和丙烯酸十八酯/聚丁二烯共混物交联制备的形状记忆半结晶聚合物的结构-性能关系

Structure-Property Relationships of Shape Memory, Semicrystalline Polymers Fabricated by In Situ Polymerization and Crosslinking of Octadecyl Acrylate/Polybutadiene Blends.

作者信息

Basak Sayan, Cavicchi Kevin A

机构信息

School of Polymer Science and Polymer Engineering, University of Akron, 250 S Forge St, Akron, OH, 44325-0301, USA.

出版信息

Macromol Rapid Commun. 2023 Jan;44(1):e2200404. doi: 10.1002/marc.202200404. Epub 2022 Jul 3.

Abstract

The current work presents the study of a semicrystalline, shape memory polymer synthesized by simultaneous free radical polymerization and crosslinking in a blend of polybutadiene (PB) and octadecyl acrylate. Blending elastomers and phase change materials provide a modular method for new smart materials, such as shape memory polymers. In this system, grafted, side-chain crystalline poly(octadecyl acrylate) (PODA) fixes a programmed shape in the shape memory cycle, while crosslinked polybutadiene drives shape recovery. This work focuses on improving material parameters important for shape memory (crystallinity, gel fraction, melting temperature) by tuning the processing and formulation parameters (amount of crosslinker and PB weight fraction). The result is a shape memory PB-PODA copolymer that can be fabricated by melt processing and programmed without cooling below ambient temperature. It is found that good shape memory (i.e., high shape fixity and recovery) is obtained at a low PB weight fraction where a percolating PODA crystal network is formed at room temperature. The optimized sample shows excellent shape memory properties (fixity > 99%, recovery = 96%). It is shown that it is possible to mold this material into complex 3D shapes or topography with potential use in anticounterfeiting and antitampering applications.

摘要

当前的工作展示了一种半结晶形状记忆聚合物的研究,该聚合物是通过在聚丁二烯(PB)和丙烯酸十八酯的共混物中同时进行自由基聚合和交联反应合成的。将弹性体与相变材料共混为新型智能材料(如形状记忆聚合物)提供了一种模块化方法。在该体系中,接枝的侧链结晶聚(丙烯酸十八酯)(PODA)在形状记忆循环中固定了预设形状,而交联的聚丁二烯则驱动形状恢复。这项工作着重于通过调整加工和配方参数(交联剂用量和PB重量分数)来改善对形状记忆至关重要的材料参数(结晶度、凝胶分数、熔点)。结果得到了一种形状记忆PB - PODA共聚物,它可以通过熔融加工制备,并且无需冷却至环境温度以下即可进行编程。研究发现,在低PB重量分数下可获得良好的形状记忆性能(即高形状固定率和恢复率),此时在室温下会形成一个渗流的PODA晶体网络。优化后的样品表现出优异的形状记忆性能(固定率> 99%,恢复率 = 96%)。研究表明,将这种材料模塑成复杂的三维形状或形貌用于防伪和防篡改应用是可行的。

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