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Particle Image Velocimetry and Analysis Methods using Cleanly Seeded Particles in Supersonic Flow.
| 题名： | Particle Image Velocimetry and Analysis Methods using Cleanly Seeded Particles in Supersonic Flow. |
| 作者： | Gulotta, P. A. |
| 关键词： | Cross correlation, Data set, Image processing, Least squares method, Mach number, Optical detectors, Particle size, Pulsed lasers, Air force research laboratories, Flow fields, Latent heat, Digital data, Flow visualization, Particle image velocimetry, Wind tunnels, Light sources, Lasers, Measurement, Fluid flow, Boundary layer |
| 摘要： | Particle Image Velocimetry (PIV) was successfully conducted in the Air Force Research Lab Mach 3/ Mach 6 Facility (M3M6F) for the first time. Particle response experiments evaluating the performance of dry ice particles were conducted using a 15 degree half-wedge in nominal Mach 3 flow. The particle response of carbon dioxide particles is compared to that of water particles produced from ambient moisture content in the tunnel system. Carbon dioxide particles produced particle response curves indicating particle diameters of approximately 2 microns acclimating to the asymptotic change in velocity across the shock between 25 and 30 mm on a path normal to the shock wave. Analysis methods such as cross correlation in 32x32 pixel and 64x64 pixel Interrogation Regions (IR), were compared to other techniques, namely the Adaptive PIV method and the Least Squares Method. The effects of analysis method on both freestream velocity and particle response were investigated. |
| 报告类型： | 科技报告 |
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