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arXiv 1710.02493cond-mat.soft
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无序网络中的超材料

Auxetic metamaterials from disordered networks

Daniel R Reid, Nidhi Pashine, Justin M Wozniak, Heinrich M Jaeger, Andrea J Liu, Sidney R Nagel, Juan J de Pablo

摘要:

最近的理论工作表明,对由弹簧连接的节点组成的无序网络进行系统的修剪,可以导致材料表现出许多不寻常的机械性能。特别是,全球性的财产,如泊松比或局部响应有关的变形可以精确地改变。可调的机械响应将在从减轻冲击到机器人技术的领域中有用,更一般地说,用于创建具有工程特性的超材料。然而,基于基于修剪的理论思想来创建拉胀材料的实验尝试尚未成功。在这里,我们介绍了一个新的和更现实的网络模型,其中包括角度弯曲力和适当的实验边界条件。然后设计并实现了该模型中选择键的顺序修剪策略,该策略使得在线性和非线性制度下变形时能够工程化特定的机械行为。特别是,它示出的泊松比可以调整到任意值。通过准备以这种方式设计的网络的物理实现来验证这里讨论的模型和概念,所述网络是通过激光切割二维片材产生的,并且被发现表现为预测的。此外,通过依赖于优化算法,我们利用网络的敏感性来调整设计网络,该网络具有更硬和更柔顺的键的分布,并且其拉胀行为甚至大于同质网络。总之,这里报告的研究结果有助于建立修剪网络代表了一个有前途的平台,创造新的机械超材料。

英文摘要:

Recent theoretical work suggests that systematic pruning of disordered networks consisting of nodes connected by springs can lead to materials that exhibit a host of unusual mechanical properties. In particular, global properties such as the Poisson's ratio or local responses related to deformation can be precisely altered. Tunable mechanical responses would be useful in areas ranging from impact mitigation to robotics and, more generally, for creation of metamaterials with engineered properties. However, experimental attempts to create auxetic materials based on pruning-based theoretical ideas have not been successful. Here we introduce a new and more realistic model of the networks, which incorporates angle-bending forces and the appropriate experimental boundary conditions. A sequential pruning strategy of select bonds in this model is then devised and implemented that enables engineering of specific mechanical behaviors upon deformation, both in the linear and non-linear regimes. In particular, it is shown that the Poisson's ratio can be tuned to arbitrary values. The model and concepts discussed here are validated by preparing physical realizations of the networks designed in this manner, which are produced by laser cutting two-dimensional sheets and are found to behave as predicted. Furthermore, by relying on optimization algorithms, we exploit the networks' susceptibility to tuning to design networks that posses a distribution of stiffer and more compliant bonds, and whose auxetic behavior is even greater than that of homogeneous networks. Taken together, the findings reported here serve to establish that pruned networks represent a promising platform for the creation of novel mechanical metamaterials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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