High spatial and temporal resolutions are required in velocity measurements for turbulent flows to examine turbulence characteristics accurately. In this study, we proposed a spatial filter velocimetry (SFV) based on a frequency analysis of time-series spatially-filtered particle images. Since this method can measure velocity from one particle in a measurement region, it enables us to measure the velocity with high spatial and temporal resolutions. We developed a SFV system and applied it to laminar and turbulent flows in a duct to examine its performance. Through comparisons between the velocities measured by SFV and LDV, we confirmed that SFV accurately measures the mean velocity and turbulent intensity with spatial and temporal resolutions as high as LDV.
- Fluids Engineering Division
Spatial Filter Velocimetry Based on Time-Series Particle Images
- Views Icon Views
- Share Icon Share
- Search Site
Hosokawa, S, Sakamoto, H, & Tomiyama, A. "Spatial Filter Velocimetry Based on Time-Series Particle Images." Proceedings of the ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASME-JSME-KSME 2011 Joint Fluids Engineering Conference: Volume 2, Fora. Hamamatsu, Japan. July 24–29, 2011. pp. 39-46. ASME. https://doi.org/10.1115/AJK2011-31005
Download citation file: