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Multiscale modeling of fluid turbulence and flocculation in industrial applications

机译:工业应用中流体湍流和絮凝的多尺度建模

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摘要

The present effort is the development of a multiscale modeling, simulation methodology for investigating complex phenomena arising from flowing fiber suspensions. Here, a mathematically rigorous, multiscale modeling methodology is presented capable of coupling behaviors from the Kolmogrov turbulence scale through the full scale system in which a fiber suspension is flowing, (ⅰ) a computational simulation framework built around this methodology into which techniques for investigating behaviors at the various scales can be effectively integrated, and (ⅱ) a proof of concept of the developed core technologies using synergetic interactions with experimental studies. Here the key aspect is adaptive hierarchical modeling. Numerical results are presented for which focus is on fiber floc formation and destruction by hydrodynamic forces in turbulent flows. Specific consideration was given to molecular-dynamic-type simulations of viscoelastic fibers in which the fluid flow is predicted by a method which is a hybrid between Direct Numerical Simulations (DNS) and Large Eddy Simulation techniques (LES) and fluid fibrous structure interactions (FSI) will be taken into account. The present results may elucidate the physics behind the break up of a fiber floc, opening the possibility for developing a meaningful numerical model of the fiber flow at the continuum level where an Eulerian multi-phase flow model can be developed for industrial use.
机译:目前的工作是开发一种多尺度建模,模拟方法,以研究由流动的纤维悬浮液引起的复杂现象。在此,提出了一种数学上严格的多尺度建模方法,该方法能够将Kolmogrov湍流尺度中的行为耦合到流经纤维悬浮液的完整尺度系统中,(ⅰ)围绕此方法构建的计算仿真框架,用于研究行为的技术可以有效地整合各种规模的技术,以及(ⅱ)通过与实验研究的协同互动来证明已开发的核心技术的概念。这里的关键是自适应分层建模。给出了数值结果,其重点是湍流中流体动力引起的纤维絮凝物的形成和破坏。特别考虑了粘弹性纤维的分子动力学类型模拟,其中通过直接数值模拟(DNS)和大涡模拟技术(LES)与流体纤维结构相互作用(FSI)混合的方法预测流体流量)将被考虑在内。目前的结果可以阐明纤维絮凝物破裂背后的物理原理,从而为在连续水平上开发有意义的纤维流动数值模型提供了可能性,其中可以开发出欧拉多相流动模型以用于工业用途。

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