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首页> 外文期刊>Polymer: The International Journal for the Science and Technology of Polymers >Harnessing biomimetic catch bonds to create mechanically robust nanoparticle networks
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Harnessing biomimetic catch bonds to create mechanically robust nanoparticle networks

机译:利用仿生捕捉键来创建机械坚固的纳米颗粒网络

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摘要

sing computer simulations, we investigate the mechanical properties of a network of polymer-grafted nanoparticles (PGNs) that are interlinked by labile "catch" bonds. In contrast to conventional "slip" bonds, the life time of catch bonds can potentially increase with the application of force (i.e., the rate of rupture can decrease). In effect, the bond becomes stronger under an applied force (if the strain rate is sufficiently high). Subjecting the PGN networks to a tensile deformation, we find that the networks encompassing catch bonds exhibit greater ductility and toughness than the networks interconnected by slip bonds. Moreover, when the applied tensile force is released, the catch bond networks exhibit lower hysteresis and faster relaxation of residual strain than the slip bond networks. The effects of the catch bonds on the mechanical behavior are attributed to transitions between two conformational states, which differ in their sensitivity to force. The findings provide guidelines for creating nanocomposite networks that are highly resistant to mechanical deformation and show rapid strain recovery. (C) 1015 Elsevier Ltd. All rights reserved.
机译:通过计算机模拟,我们研究了通过不稳定的“捕获”键相互连接的聚合物接枝纳米颗粒(PGN)网络的机械性能。与传统的“滑动”键相反,锁紧键的使用寿命可能会随着施加力而增加(即,断裂率会降低)。实际上,在施加的力下(如果应变率足够高),结合会变得更牢固。通过对PGN网络进行拉伸变形,我们发现包含捕获键的网络比通过滑键互连的网络表现出更大的延展性和韧性。而且,当施加的张力被释放时,锁固键合网络比滑动键合网络表现出更低的磁滞和更快的残余应变松弛。捕捉键对机械行为的影响归因于两个构象状态之间的转变,这两个构象状态对力的敏感性不同。这些发现为建立纳米复合材料网络提供了指导,该复合材料网络具有很高的抗机械变形能力,并能快速恢复应变。 (C)1015 Elsevier Ltd.保留所有权利。

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