COHERENT STRUCTURE ASSESSMENT IN HIGH-SPEED CROSSFLOW JETS
Abstract
Compressible jets transversely issuing into a spatially-developing turbulent boundary layer (SDTBL) are one of the most challenging types of three-dimensional flows due to their thermal-fluid complexity and technological applications; for instance, film cooling of turbine blades, fuel or dilution air injection in gas turbine engines, thrust vector control, just to name a few. We seek to perform Direct Numerical Simulation (DNS) with high spatial and temporal resolution of high-speed jets in crossflow at high Reynolds numbers. The analysis will be done by prescribing accurate turbulent flow information at the inlet of the computational domain for simulations of SDTBL based on the Dynamic-Multiscale Approach (DMA), recently extended to supersonic-hypersonic flow. Extensive DNS cases are planned (sonic jets interacting with supersonic crossflow and supersonic jets issuing into subsonic or hypersonic crossflow at different flow conditions) by reproducing wind tunnel studies from the literature for numerical validation. Furthermore, the extensive data supplied by DNS will allow us to elucidate the jet-SDTBL interaction on the complex vortex system generated downstream and to gain a better knowledge on the different processes of the vorticity transport. Furthermore, the proposed flow solver (the PHASTA project, led by Dr. Jansen) can simulate complex geometries and has shown a great scalability for petascale computing on the Argonne Leadership Computing Facility s Blue Gene-Q Mira with up to 786,432 cores. The main research objectives of the proposed body of work are three-fold. The first goal involves DNS of high-speed jets in crossflow at high Reynolds numbers and computation-validation of low-high order statistics of flow parameters. The second goal consists of a better and more objective understanding of the physics behind Lagrangian coherent motions emanating from crossflow jets. The third goal consists of high-end visualization of the transport phenomena via flow animation videos and Virtual-Augmented Reality (VR-AR).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 07, 2023
- Source ID
- FA95502210089
Entities
People
- Juan Araya
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Puerto Rico