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Multiscale modeling of fluid turbulence and flocculation in industrial applications

机译:流体湍流和工业应用中絮凝的多尺度建模

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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:目前的努力是对研究流动纤维悬浮液产生复杂现象的多尺度建模,模拟方法的发展。这里,提出了一种数学严格的多尺度建模方法,其能够通过纤维悬架流动的全尺度系统从KolmoGrov湍流尺度耦合,(i)围绕该方法构建的计算模拟框架,以调查行为的技术在各种尺度可以有效地集成,(ii)使用与实验研究的协同相互作用的开发核心技术的概念证明。这里关键方面是自适应层次建模。提出了数值结果,其中焦点是湍流流动中流体动力形成和破坏的焦点。具体考虑是对粘弹性纤维的分子动态型模拟,其中通过一种方法预测流体流动,该方法是直接数值模拟(DNS)和大涡模拟技术(LES)和流体纤维结构相互作用(FSI)之间的杂交(FSI) )将被考虑在内。目前的结果可以阐明纤维絮凝物分解后的物理,打开可能在连续水平上开发有意义的纤维流量的数值模型,其中可以为工业用途开发欧拉多相流动模型。

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