Automotive Soiling Simulation Based On Massive Particle Tracing
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.
KeywordsDust Particle Drag Coefficient Massive Particle Cartesian Grid Visualization System
Unable to display preview. Download preview PDF.
- 2.Steve Bryson. Approaches to the Successful Design and Implementation of VR Applications. In Proc. SIGGRAPH’94, 1994.Google Scholar
- 3.Steve Bryson and Steven Feiner. Virtual Environments in Scientific Visualization. In Virtual Reality for Visualization, Course Notes of Tutorial 5 at Visualization 95, 1995.Google Scholar
- 4.Exa Corporation, http://www.exa.com.
- 5.D. A. Lane. Scientific Visualization of Large-Scale Unsteady Fluid Flows. In G. Nielson, H. Hagen, and H. Mueller, editors, Scientific Visualization, pages 125–145. IEEE Computer Society, 1997.Google Scholar
- 6.F. Post and T. van Walsum. Fluid Flow Visualization. In H. Hagen, H. Mueller, and G. Nielson, editors, Focus on Scientific Visualization, pages 1–40. Springer Berlin, 1997.Google Scholar
- 7.M. Schulz, F. Reck, W. Bartelheimer, and Th. Ertl. Interactive Visualization of Fluid Dynamics Simulations in Locally Refined Cartesian Grids. In Proc. Visualization’ 99. IEEE, 1999.Google Scholar
- 8.C. Teitzel, R. Grosso, and T. Ertl. Efficient and Reliable Integration Methods for Particle Tracing in Unsteady Flows on Discrete Meshes. In W. Lefer and M. Grave, editors, Visualization in Scientific Computing’ 97, pages 31–41, Wien, 1997. Springer.Google Scholar
- 10.S. P. Uselton. ex Vis: Developing A Wind Tunnel Data Visualization Tool. In R. Yagel and H. Hagen, editors, Proc. Visualization’ 97. IEEE, 1997.Google Scholar