This proposal continues and expands on-going efforts to develop and implement novel measurement techniques for characterizing the unsteady flow in axial turbomachines at unprecedented resolution.…

This is a cooperative agreement awarded by the National Aeronautics and Space Administration (NASA) to The Johns Hopkins University (JHU), a private research university, to develop and implement novel measurement techniques for characterizing unsteady flow in axial turbomachines. The $621,215 contract, which has no set-aside designation, aims to expand on ongoing efforts to elucidate unsteady flow phenomena, such as rotor-stator interactions and rotating stall, using advanced methods like stereo-PIV and 3D time-resolved velocity and pressure mapping. Additionally, the project will establish a web-accessible database of the collected data to be made available to the community for validating numerical simulations. As a leading research institution, JHU has a history of delivering scientific research, specialized training, and technical solutions to federal agencies like the National Institutes of Health, Centers for Disease Control and Prevention, Department of Defense, and Department of Justice through prime and subcontracts.

This proposal continues and expands on-going efforts to develop and implement novel measurement techniques for characterizing the unsteady flow in axial turbomachines at unprecedented resolution. The presently used stereo-PIV measurements in a refractive index matched facility will be augmented with methods for mapping 3D time-resolved velocity and pressure distributions. These techniques will be used for elucidating unsteady flow phenomena involving, e.g. rotor-stator interactions, as well as large scale instabilities, such as rotating stall. Enhanced means of alleviating the adverse effects of rotating stall using casing grooves will be tested and optimized as well. Furthermore, a web-accessible database containing all the data obtained at JHU will be established on NASA-glenn servers, and will be made available to the community for validating numerical data.