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Three-dimensional microscale simulation of colloidal particle transport and deposition in model porous media with converging/diverging geometries

机译:胶体颗粒运输与型号多孔介质沉积的三维微观模拟,随着换气介质

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摘要

The microscale simulation of colloidal particle transport and deposition in porous media was achieved with a novel colloidal particle tracking model, called 3D-PTPO (Three-Dimensional Particle Tracking model by Python (R) and OpenFOAM (R)), using a Lagrangian method. Simulations were performed by considering the elementary pore structure as a capillary tube with converging/diverging geometries (tapered pipe and venturi tube). The particles are considered as a mass point during transport in the flow and their volume is reconstructed when they are deposited. The main feature of this novel model is to renew the flow field by reconstructing the pore structure by taking the volume of the deposited particles into account. The influence of the particle Peclet number (Pe) and the pore shape on the particle deposition therein is investigated. The results are analyzed in terms of deposition probability and dimensionless surface coverage as a function of the number of injected particles for a vast range of Peclet numbers thus allowing distinguishing the behavior in diffusion dominant and advection dominant regimes. Finally, the maximum dimensionless surface coverage Gfinal/GRSA is studied as a function of Pe. The declining trend observed for high Pe is in good agreement with experimental and simulation results found in the literature.
机译:使用拉格朗日方法,用新型胶体颗粒跟踪模型实现多孔介质中胶体颗粒输送和沉积胶体颗粒输送和沉积的胶体粒子跟踪模型,使用拉格朗日方法。通过将基本孔结构视为具有会聚/发散几何形状(锥形管和文丘里管)的毛细管来进行模拟。颗粒被认为是在流动中运输过程中的质量点,并且当沉积它们时重建它们的体积。该新型模型的主要特征是通过考虑沉积的粒子的体积来重建孔结构来更新流场。研究了粒子Peclet数(PE)和孔形状对其中的颗粒沉积的影响。根据沉积概率和无量纲表面覆盖的函数分析了结果,作为众多PECLET编号的注入粒子的函数,从而允许区分漫射主导和平流主导制度的行为。最后,研究了最大无量纲表面覆盖GFINAL / GRSA作为PE的功能。对高保值观察到的趋势与文献中发现的实验和仿真结果一致。

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