Ding Yunhao, Gong Dianjinfeng, Yang Jing, Xu Zhen, Wang Zhichao, Li Jianqi, Hu Bingwen, Xia Chengjie
Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, P. R. China.
Soft Matter. 2022 Jan 26;18(4):726-734. doi: 10.1039/d1sm01440d.
Packing structures of granular cylinders with the aspect ratio close to one have been reconstructed with the help of magnetic resonance imaging techniques. By controlling the container boundary conditions and preparation protocols, a structural transformation from a disordered liquid-like state to an orientationally ordered state with cubatic symmetry at a high packing fraction is observed. This ordering process is accompanied by the formation of more faceted contacts, which lower the elastic energy between jammed granular particles to drive the transformation. With the help of Edwards' volume ensemble theory, this granular structural transformation is explained using a phenomenological thermodynamic model and a self-consistent mean-field statistical mechanical model. Both models predict a sharp but continuous change of order parameter when the effective granular temperature is lowered. The intrinsic difference and connection between this granular structural transformation and the entropy-driven phase transition of conventional thermal hard-particle systems are discussed.
借助磁共振成像技术,已重建了长径比接近1的粒状圆柱体的堆积结构。通过控制容器边界条件和制备方案,观察到在高填充率下从无序的类液态状态到具有立方对称性的取向有序状态的结构转变。这种排序过程伴随着更多多面接触的形成,这降低了堵塞的颗粒之间的弹性能量以驱动转变。借助爱德华兹的体积系综理论,使用唯象热力学模型和自洽平均场统计力学模型解释了这种颗粒结构转变。当有效颗粒温度降低时,两个模型都预测序参量会有急剧但连续的变化。讨论了这种颗粒结构转变与传统热硬粒子系统的熵驱动相变之间的内在差异和联系。