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Mechanical instability and percolation of deformable particles through porous networks

机译:通过多孔网络机械不稳定性和可变形颗粒的渗透

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The transport of micron-sized particles such as bacteria, cells, or synthetic lipid vesicles through porous spaces is a process relevant to drug delivery, separation systems, or sensors, to cite a few examples. Often, the motion of these particles depends on their ability to squeeze through small constrictions, making their capacity to deform an important factor for their permeation. However, it is still unclear how the mechanical behavior of these particles affects collective transport through porous networks. To address this issue, we present a method to reconcile the pore-scale mechanics of the particles with the Darcy scale to understand the motion of a deformable particle through a porous network.We first show that particle transport is governed by a mechanical instability occurring at the pore scale, which leads to a binary permeation response on each pore. Then, using the principles of directed bond percolation, we are able to link this microscopic behavior to the probability of permeating through a random porous network. We show that this instability, together with network uniformity, are key to understanding the nonlinear permeation of particles at a given pressure gradient. The results are then summarized by a phase diagram that predicts three distinct permeation regimes based on particle properties and the randomness of the pore network.
机译:通过多孔空间将诸如细菌,细胞或合成脂质囊泡的微米尺寸颗粒的运输是与药物递送,分离系统或传感器相关的方法,以引用一些实例。通常,这些颗粒的运动取决于它们通过小的收缩挤压的能力,使其能够变形其渗透的重要因素。然而,目前尚不清楚这些颗粒的力学行为如何通过多孔网络影响集体运输。为了解决这个问题,我们提出了一种与达西标准的颗粒的孔径力学和达西标准的方法来理解可变形粒子通过多孔网络的运动。我们首先表明颗粒传输通过机械不稳定来控制孔隙率,导致每孔的二元渗透反应。然后,使用定向粘合渗透的原理,我们能够将这种微观行为联系到通过随机多孔网络渗透的概率。我们表明这种不稳定性与网络均匀性一起是理解给定压力梯度在给定压力梯度下颗粒的非线性渗透的关键。然后通过一种相图总结了结果,该相图是基于颗粒性质和孔网络的随机性来预测三个不同的渗透结果。

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