This project builds upon previous successful projects in the school related to understanding the physical processes involved with boundary layer separation in hypersonic flows in thermal nonequilibrium.
Program Code: 1663
Objectives:
This project builds upon previous successful projects in the school related to understanding the physical processes involved with boundary layer separation in hypersonic flows in thermal nonequilibrium. We have developed a suite of experimental techniques based upon laser-induced fluorescence of the nitric oxide molecule that are capable of measuring translational temperature, rotational temperature, vibrational temperature and velocity in low-density flows. The purpose of the project is to develop a framework in which direct simulation Monte Carlo (DSMC) calculations can be used to better design the experiments performed using our techniques by simulating the fluorescence expected from these computational simulations.
Description of Work:
Develop a cutting-edge model for nitric oxide fluorescence that includes saturation, absorption quenching and thermal nonequilibrium processes.
Use this model to generate fluorescence maps from DSMC-generated maps September 2014 33 of flow field quantities
Develop a new algorithm using Bayesian statistical methods that can generate velocity maps from fluorescence images while minimising the amount of tunnel run data for a given degree of uncertainty in the results.
Contact:
Dr Sean O'Byrne s.obyrne@adfa.edu.au
School of Engineering & IT