School of Physics, CRANN and AMBER Research Centres, Trinity College Dublin, Dublin 2, Ireland.
Nanoscale. 2018 Mar 15;10(11):5366-5375. doi: 10.1039/c7nr09247d.
The use of graphene-based nanocomposites as electromechanical sensors has been broadly explored in recent times with a number of papers describing porous, foam-like composites. However, there are no reported foam-based materials that are capable of large dynamic compressive load measurements and very few studies on composite impact sensing. In this work, we describe a simple method of infusing commercially-available foams with pristine graphene to form conductive composites, which we refer to as G-foam. Displaying a strain-dependent electrical response, G-foam was found to be a reasonably effective pressure sensing material. More interestingly, G-foam is a sensitive impact-sensing material. Through the addition of various amounts of polymer filler, the mechanical properties of the composites can be tuned leading to the controllable variation of the impact sensing range. We have developed a simple model which quantitatively explains all our impact sensing data.
近年来，基于石墨烯的纳米复合材料作为机电传感器得到了广泛的研究，许多论文都描述了多孔、泡沫状的复合材料。然而，目前还没有报道能够进行大动态压缩负载测量的泡沫基材料，关于复合材料冲击感应的研究也很少。在这项工作中，我们描述了一种简单的方法，即用原始石墨烯对市售泡沫进行浸渍，形成我们称之为 G-foam 的导电复合材料。G-foam 表现出应变相关的电响应，被发现是一种相当有效的压力感应材料。更有趣的是，G-foam 是一种敏感的冲击感应材料。通过添加不同量的聚合物填料，可以调整复合材料的机械性能，从而控制冲击感应范围的变化。我们已经开发了一个简单的模型，可以定量解释我们所有的冲击感应数据。
