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Application of CinemaScience Methods to Visualize and Analyze Complex Multiphase Flow Processes Supporting Next Generation Future Vertical Lift (FVL) Concepts.

Authors :
Leonard, Sean
Zhanping Liu
Simon Su
Bravo, Luis
Ghoshal, Anindya
Murugan, Muthuvel
Flatau, Alison
Source :
ITEA Journal of Test & Evaluation; Sep2021, Vol. 42 Issue 3, p153-163, 11p
Publication Year :
2021

Abstract

Sand ingestion is a substantial problem for gas turbine engines operating in austere environments. If an engine is subjugated to high doses of calcium-magnesium-alumino-silicate or CMAS, the constituents of sand, it can result in degradation of the thermal barrier coating, TBC, requiring costly maintenance. As a result, Athena, a simulation framework, is being modified to address this issue. However, from the visualization perspective, the volume of data generated by Athena and other software necessitates the use of in-situ, in reaction, visualization due to an I/O bandwidth bottleneck. Typically, the visualization step is handled post-simulation (post-processing), but in-situ, data analysis visualization occurs intra-simulation eliminating the need to write the simulation output to disk. Thus, the development of a robust, portable in-situ visualization implementation is a necessity. In addition, an image-based visualization tool, CinemaScience, must be implemented for one of the two modes of in-situ visualization, batch mode. Live mode is highly interactive and allows the use of the graphical user interface while batch mode is the opposite. Batch mode merely feeds a list of steps into a visualization tool (Paraview, in this case) to be carried out at each timestep. As a result, successful implementation of in-situ visualization through the use of Paraview Catalyst and the add-on of CinemaScience culminates in a viable solution to big data simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10540229
Volume :
42
Issue :
3
Database :
Supplemental Index
Journal :
ITEA Journal of Test & Evaluation
Publication Type :
Academic Journal
Accession number :
153570995