Investigating thermoacoustic instabilities in combustion applications. Working to understand governing physics in mitigation of these instabilities using porous media. Previous work includes a 1-D numerical model that can predict thermoacoustic instabilities and model the effects of porous media mitigation. Future and current work include the design and construction of a high-pressure combustion rig to investigate these instabilities and validate the numerical model developed
This project aims at developing a computational algorithm to tomographically reconstruct images of a jet flame into a three-dimensional reconstruction. Using Multi-Directional 3D flame chemiluminescence tomography, we are able to utilize our modified camera setup to capture the flame diagnostics in 3D and thus further understand the process of turbulent combustion.
Once the computational reconstruction code has been completed, our goal is to investigate the influence and effects of the Rayleigh Criteria on the imaging of a turbulent jet flame using our Computed Tomography of Chemiluminescence (CTC) technique. This will hopefully allow us to gain a better understanding of the flame behavior under turbulent conditions, as well as contribute to the advancement of tomographic reconstruction simulation techniques used for flame imaging.
This project aims at investigating 2-D numerical simulation of Non-Premixed Rotating Detonation Combustor. 2-D numerical analyses are carried out to predict the flow characteristics of RDC by taking into account of fuel unmixedness. In order to simulate the realistic fuel-oxidizer mixing in a 2-D domain, Probability density function (PDF) is extracted from non-reacting, non-premixed 3-D RDC simulation.
Using this approach, performance parameters of RDC such as static pressure and temperature, detonation velocities and detonation wave height were obtained for non-premixed and perfectly premixed cases. Future work will incorporate the effects of fuel stratification and heat losses in 2-D non-premixed simulation and compare the performance with a full-scale 3-D simulation.