首页> 外文会议>International Conference on Micromechanics of Granular Media >From Nanoscale Cohesion To Macroscale Entanglement: Opportunities For Designing Granular Aggregate Behavior By Tailoring Grain Shape And Interactions
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From Nanoscale Cohesion To Macroscale Entanglement: Opportunities For Designing Granular Aggregate Behavior By Tailoring Grain Shape And Interactions

机译:从纳米级内聚力到Macroscale纠缠:通过剪裁晶粒形状和相互作用来设计颗粒骨料行为的机会

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The packing arrangement of individual particles inside a granular material and the resulting response to applied stresses depend critically on particle-particle interactions. One aspect that recently received attention are nanoscale surface features of particles, which play an important role in determining the strength of cohesive van der Waals and capillary interactions and also affect tribo-charging of grains. We describe experiments on freely falling granular streams that can detect the contributions from all three of these forces. We show that it is possible to measure the charge of individual grains and build up distributions that are detailed enough to provide stringent tests of tribo-charging models currently available. A second aspect concerns particle shape. In this case steric interactions become important and new types of aggregate behavior can be expected when non-convex particle shapes are considered that can interlock or entangle. However, a general connection between the mechanical response of a granular material and the constituents' shape remains unknown. This has made it infeasible to tackle the "inverse packing problem", namely to start from a given, desired behavior for the aggregate as a whole and then find the particle shape the produces it. We discuss a new approach, using concepts rooted in artificial evolution that provides a way to solve this inverse problem. This approach facilitates exploring the role of arbitrary particle geometry in jammed systems and invites the discovery and design of granular matter with optimized properties.
机译:粒状材料内单个颗粒的包装布置和对施加应力的响应依赖于颗粒颗粒相互作用。最近受到关注的一个方面是颗粒的纳米级表面特征,在确定粘性范德华和毛细血管相互作用的强度以及影响谷物的摩擦充电方面发挥着重要作用。我们描述了自由下降的颗粒状物流的实验,可以检测来自所有三种力量的贡献。我们表明,可以测量单个谷物的负荷,并建立足够详细的分布,以提供当前可用的摩擦充电模型的严格测试。第二方面涉及颗粒形状。在这种情况下,在认为可以互锁或缠结的非凸粒子形状时,可以预期空间交互变得重要,并且可以预期新的聚集行为。然而,粒状材料和组分形状的机械响应之间的一般连接仍然未知。这使得解决“逆填充问题”,即从给定的,期望的行为开始作为整体的给定,期望的行为,然后找到产生它的粒子形状。我们讨论了一种新方法,使用植根于人工演进的概念,提供了解决这个逆问题的方法。这种方法有助于探讨任意粒子几何形状在卡住系统中的作用,并邀请具有优化性质的粒状物质的发现和设计。

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