Fractal Image Compression of Rayleigh, Raman, LIF and LDV Data in Turbulent Reacting Flows
Abstract
Fractal geometry analysis methods, analytical modeling and several experimental diagnostics were applied to an experimental reacting flow in a two- dimensional subsonic windtunnel with a backward facing step and provision for injection of inerts and combustibles through the porous floor behind the step. Experiments used laser velocimetry and Raman spectroscopy measurements for two components of the mean and fluctuating velocity and the local nitrogen concentration, which was found in this flow to be an accurate temperature sensor. The fuel used was hydrogen diluted with argon or nitrogen. Fractal geometry yielded a new nonlinear adaptive filter and an interpolation method for improving the statistics of sparsely separated data points. Analytical modeling was improved over from a prior program, and a two equation turbulent model now reproduces many of the observed features of the reacting flow.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1990
- Accession Number
- ADA232237
Entities
People
- Jechiel I. Jagoda
- Warren C. Strahle
Organizations
- Georgia Tech