通过机械化学方法推进聚合物纳米复合材料

Linh Chi Tran , Xiao Su , Huynh Nguyen , Ly Bao Truc La , Philip Adu , Qiong Jia , Ivan Lee , Hsu-Chiang Kuan , Xianhu Liu , Jun Ma
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引用次数: 0

摘要

机械化学方法由于其有效性、环境可持续性、可扩展性和简单性,最近在聚合物纳米复合材料的开发中引起了极大的兴趣。以往的研究大多集中在纳米材料的合成或具体方法上,而没有充分探讨这些技术如何影响界面相互作用,从而影响聚合物纳米复合材料的形态和性能。本文对机械化学方法进行了全面的分析,包括现有的技术(如球磨和超声)和较新的方法(如固态剪切铣削、聚焦超声或等离子体辅助机械化学混合)。它强调了这些方法的优点,缺点和最近的创新,关于纳米填料在聚合物基质中的分散和它们的相容性。这篇综述还提供了将人工智能和可持续实践整合到机械化学过程中的未来前景,同时提出了解决纳米填料宽尺寸分布挑战的解决方案。我们的目标是促进机械化学过程在不同领域的广泛采用,从实验室到工业规模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing polymer nanocomposites through mechanochemical approaches
Mechanochemical approaches have recently garnered significant interests in the development of polymer nanocomposites due to their effectiveness, environmental sustainability, scalability and simplicity. Most of previous reviews on this topic focus on either nanomaterial synthesis or specific methods, without fully exploring how these techniques affect the interfacial interactions and thus the morphology and properties of polymer nanocomposites. This review provides a comprehensive analysis of mechanochemical methods, encompassing both established techniques (e.g., ball milling and ultrasonication) and newer approaches (e.g., solid-state shear milling, focused ultrasonication or plasma-assisted mechanochemical mixing). It highlights the benefits, drawbacks and recent innovations of these methods regarding the dispersion of nanofillers within and their compatibility with polymer matrices. This review also provides a future perspective on integrating artificial intelligence and sustainable practices into mechanochemical processes, while proposing solutions to tackle the challenge of broad size distribution of nanofillers. We aim to foster the widespread adoption of mechanochemical processes across diverse fields, from laboratory to industrial scales.
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