Automotive Soiling Simulation Based On Massive Particle Tracing
Automotive Soiling Simulation Based On Massive Particle Tracing
复制标题
基于大粒子追踪的汽车污染模拟
DOI：
10.2312/vissym/vissym01/309-318
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发表时间：
2001
影响因子：
4.6
通讯作者：
Thomas Ertl
中科院分区：
文献类型：
--
作者：
S. Röttger;M. Schulz;W. Bartelheimer;Thomas Ertl
在汽车工业中，像Exa公司的PowerFlow这样的Lattice-Boltzmann型流求解器变得越来越重要。与传统的有限体积法不同，PowerFlow采用了分层的直角坐标网格进行流动模拟。在本案例研究中，我们将展示如何利用这些层次网格，以扩展现有的格子玻尔兹曼CFD环境与汽车污染模拟系统。为了实现这一点，我们选择在用户可操纵的粒子发射器中不断生成大量的大质量粒子。因此，逐步跟踪这些粒子的过程创建了不断变化的粒子流，这些粒子流可以通过我们的可视化系统交互式地显示。每个粒子的直径、比质量和初始速度都是随机变化的，而已经存在的粒子在离开模拟域或与车辆表面碰撞时可能会因为老化而衰减。一方面，这些动画粒子的显示是探索CFD数据集的一种非常自然和直观的方式。另一方面，动画的大质量粒子可以很容易地用于驱动汽车污染模拟，只需通过着色粒子在车辆表面上的命中点。
In the automotive industry Lattice-Boltzmann type flow solvers like PowerFlow from Exa Corporation are becoming increasingly important. In contrast to the traditional finite volume approach PowerFlow utilizes a hierachical cartesian grid for flow simulation. In this case study we show how to take advantage of these hierarchical grids in order to extend an existing Lattice-Boltzmann CFD environment with an automotive soiling simulation system. To achieve this, we chose to constantly generate a huge number of massive particles in user manipulable particle emitters. The process of tracing these particles step by step thus creates evolving particle streams, which can be displayed interactively by our visualization system. Each particle is created with stochastically varying diameter, specific mass and initial velocity, whereas already existing particles may decay because of aging, when leaving the simulation domain or when colliding with the vehicle's surface. On the one hand the display of these animated particles is a very natural and intuitive way to explore a CFD data set. On the other hand animated massive particles can be easily utilized for driving an automotive soiling simulation just by coloring the particles' hit points on the vehicle's surface.