Computational Fluid Dynamics Co-processing for Unsteady Visualization

This research aims first to evaluate current techniques to extract visual information for a large unsteady rotorcraft CFD simulation. Next, the same operations will be performed in parallel using the same CFD data, decomposed on a modern cluster computer. Then, Python-based scripting will be employed to automate these operations. Lastly, co-processing of the same simulation, linking the visualization system to the CFD code through a custom API, will be demonstrated, permitting simultaneous computation and automated co-visualization without archival of intermediate results. All aspects will be of prototype in nature and not suitable for general-purpose application in a commercial software product.