• High-speed optical diagnostics of reactive flows

    Characterization of reactive flows remains as an important component of research and development for advanced energy conversion systems. We apply cutting-edge high-speed imaging techniques for spatio-temporal assessment of spray flame.

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  • Alternative fuel and advanced combustion

    Hazardous emissions such as nitrogen oxides (NOx) and particulate matter (PM) emissions are serious problems in combustion engines. We are focusing on simultaneous reduction of NOx and PM emissions by advanced combustion concepts (lean-burn, plasma ignition) with alternative fuels.

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  • Machine learning for spray/combustion prediction

    Applications of artificial intelligence (AI) using massive experimental data enabled cost-effective prediction of fuel spray and enigne combustion. We are developing innovative computational models for virtual sensor and spray combustion prediction.

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  • Computational Fuid Dynamics of gasoline/diesel sprays

    CFD results contain detailed thermodynamic data such as temperature, pressure, velocity, etc. Combination of experimental work and CFD result provide comprehensive understanding of spray combustion process. We use CONVERGE code for Eulerian and Lagrangian spray combustion simulations

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  • X-ray radiography

    While conventional light sources suffer from scattering and low energy level, x-ray enables internal nozzle flow and internal nozzle structure characterization. We use x-ray (APS at Argonne National Laboratory) and commercial machine (Nikon XT H225ST at CAVS) for cavitation, near-nozzle, and structure preparation for CFD simulation

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