This Purdue University project is a detailed investigation of the structure and dynamics of fuel jets injected into a subsonic oxidizing crossflow in order to enhance the fundamental level of understanding of these important flows and to provide a validation database for comparison with detailed numerical models of the reacting jets in crossflow (RJIC). Advanced laser diagnostics, including high-speed particle imaging velocimetry (PIV), high-speed planar laser-induced fluorescence (PLIF), and coherent anti-Stokes Raman scattering (CARS) will be used to probe the flow fields in a high-pressure gas turbine combustion facility. PIV and planar laser induced fluorescence of OH radicals (OH PLIF) will be used to visualize fuel/air mixing and combustion at data rates of 5-10 kilohertz (kHz). One kHz CARS will be employed for temperature measurements using femtosecond lasers. The combustion facility will utilize three different fuels: a natural gas (NG) baseline and two high-hydrogen-content (HHC) fuels. Accurate high-resolution spatial and temporal measurements of the resulting turbulent flame structures will provide improved understanding of the complex processes of fuel/air mixing and turbulence-chemistry interaction with attendant impact on operability when using HHC fuels. Additionally, the representative crossflow will be forced into stationary and oscillatory conditions to simulate an unstable condition. The enhanced mixing and combustion of the fuel jet will be measured to quantify the relationship between the unsteady combustion field and the forced oscillatory field. The benchmark quality data sets resulting from these experiments will include comprehensive measurements of mean and fluctuating components of velocity, temperature, and species at high pressure and with crossflow conditions representative of modern gas turbine engines with practical applications within the turbine industry.
This project will develop benchmark quality data sets for high hydrogen content fuel reacting jets in crossflow. Validation databases allow hydrogen combustor designers to confirm advanced designs that reduce emissions while operating at higher temperatures. Specifically, this project will use advanced laser diagnostics to probe the flow fields in a high-pressure gas turbine combustion facility to generate the validation database.
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