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DISCRETE ELEMENT METHOD FOR MOLECULAR SCALE VISUALIZATION OF MICRO-FLOWS

机译:微观流分子可视化的离散元方法

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According to the Knudsen number four different types of flow regimes can be identified: continuum, slip, transition, and free-molecular flow. The continuum flow regime is well described by the Navier-Stokes equations. The slip flow can also be described by the Navier-Stokes equations, provided that some special boundary conditions are prescribed. In the transition and the free-molecular flow regimes, the flow is described by the Boltzmann equation, which is a molecular-based model. By using this model, it is possible to solve the high Knudsen number flow problems through molecular-based direct simulation techniques. However, independent of micro-flow research the particulate-solids research community has developed the so-called Discrete Element Method. In recent years, QMUL and MIT research groups (Munjiza, Williams) have revolutionarized these methods by inventing a set of linear packing-density-independent search algorithms, which have enabled systems comprising billions of particles to be considered on a desktop machine. Recently the QMUL group has applied the method to micro-flows. The most important aspect of this new method is accurate integration of motion of individual molecules including interaction between molecules. As temporal and spatial constraints make the visualization of micro-flows in experimental research difficult, the new method is an ideal tool for visualization of micro-flows. The power of these new visualization tools is best demonstrated through the so-called "virtual movies" obtained from simulations. Through these movies the observer is given an opportunity to see the motion of individual atoms of a fluid and their interaction with each other and with the boundary.
机译:根据克努森数,可以确定四种不同类型的流态:连续体,滑移,过渡和自由分子流。 Navier-Stokes方程很好地描述了连续流态。如果规定了一些特殊的边界条件,滑流也可以用Navier-Stokes方程描述。在过渡态和自由分子流态中,流动由玻尔兹曼方程描述,该方程是基于分子的模型。通过使用该模型,可以通过基于分子的直接模拟技术解决高克努森数流问题。然而,独立于微流研究,颗粒固体研究界已经开发了所谓的离散元素方法。近年来,QMUL和MIT研究小组(Munjiza,Williams)通过发明一组独立于堆积密度的线性搜索算法,对这些方法进行了革命性的改进,该算法使包含数十亿个粒子的系统可以在台式计算机上考虑。最近,QMUL小组已将该方法应用于微流。这种新方法的最重要方面是单个分子运动的精确整合,包括分子之间的相互作用。由于时间和空间限制使实验研究中的微流可视化变得困难,因此新方法是微流可视化的理想工具。这些新的可视化工具的功能可以通过从仿真中获得的所谓“虚拟电影”得到最好的展示。通过这些电影,观察者有机会看到流体中各个原子的运动以及它们彼此之间以及与边界之间的相互作用。

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