Faculty of Aerospace Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Soft Matter. 2018 Aug 1;14(30):6171-6180. doi: 10.1039/c8sm00874d.
We investigate the instability-induced pattern transformations in 3D-printed soft composites consisting of stiff inclusions and voids periodically distributed in a soft matrix. These soft auxetic composites are prone to elastic instabilities giving rise to negative Poisson's ratio (NPR) behavior. Upon reaching the instability point, the composite microstructure rearranges into a new morphology attaining an NPR regime. Remarkably, identical composites can morph into distinct patterns depending on the loading direction. These fully determined instability-induced distinct patterns are characterized by significantly different NPR behaviors, thus, giving rise to enhanced tunability of the composite properties. Finally, we illustrate a potential application of these reversible pattern transformations as tunable acoustic-elastic metamaterials capable of selectively filtering low frequency ranges controlled by deformation.
我们研究了由硬夹杂和周期性分布在软基体中的空隙组成的 3D 打印软复合材料中的不稳定性诱导的图案转变。这些软各向异性复合材料容易发生弹性失稳,从而产生负泊松比(NPR)行为。当达到不稳定性点时,复合材料的微观结构重新排列成新的形态,达到 NPR 区域。值得注意的是,相同的复合材料可以根据加载方向形成不同的形态。这些完全确定的由不稳定性引起的不同图案具有显著不同的 NPR 行为,从而增强了复合材料性能的可调谐性。最后,我们说明了这些可逆图案转变作为可调谐声弹性超材料的潜在应用,这些超材料能够选择性地过滤由变形控制的低频范围。