论文标题
障碍物引起的侧面分散和柔性纤维的非平凡诱捕，该柔性纤维沉淀在粘性液中
Obstacle-induced lateral dispersion and nontrivial trapping of flexible fibers settling in a viscous fluid
论文作者
论文摘要
柔性纤维通过结构化流体环境的运动本质和工业应用无处不在。最常见的是，它们的动力学是由于内部弹性应力，接触力和水动力相互作用与墙壁和障碍物之间的复杂相互作用而产生的。通过数值模拟，实验和分析预测，我们研究了在嵌入了任意形状障碍的粘性流体中沉降的柔性纤维的动力学。我们识别并表征两种类型的事件：陷阱和滑行，为此详细说明了发挥作用的机制。我们观察到弹性，重力和摩擦之间微妙的平衡导致的尖锐障碍物的非平凡陷阱构象。在滑行案例中，沿障碍物滑动后，柔软的纤维重新定位并侧面漂移。与纤维长度相比，随后的侧向位移很大，并且很大程度上取决于其机械性和几何特性。我们展示了如何利用这些效应来提出一种根据粒子的大小和/或弹性对粒子进行分类的新策略。这种方法具有易于实施和完全被动的主要优点，因为不需要能量。
The motion of flexible fibers through structured fluidic environments is ubiquitous in nature and industrial applications. Most often, their dynamics results from the complex interplay between internal elastic stresses, contact forces and hydrodynamic interactions with the walls and obstacles. By means of numerical simulations, experiments and analytical predictions, we investigate the dynamics of flexible fibers settling in a viscous fluid embedded with obstacles of arbitrary shapes. We identify and characterize two types of events: trapping and gliding, for which we detail the mechanisms at play. We observe nontrivial trapping conformations on sharp obstacles that result from a subtle balance between elasticity, gravity and friction. In the gliding case, a flexible fiber reorients and drifts sideways after sliding along the obstacle. The subsequent lateral displacement is large compared to the fiber length and strongly depends on its mechanical and geometrical properties. We show how these effects can be leveraged to propose a new strategy to sort particles based on their size and/or elasticity. This approach has the major advantage of being simple to implement and fully passive, since no energy is needed.
