Development of Digital Vector Velocimetry Method and its Application to Rotating Flows.

Physics – Optics

Scientific paper

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Scientific paper

The objectives for the present study are (1) to develop a flow imaging system for quantitative flow visualization, (2) to investigate the lid-driven rotating cavity flow and the lid-driven concentric flow with flow visualization to reveal the physics of the two rotating flows, and (3) to conduct numerical simulations for the two rotating flows for comparison with the experimental data obtained from the flow visualization. The two rotating flows are investigated to provide good benchmark data for the complex rotating flows such as in turbines and hydraulic pumps. The two rotating flows in the laminar region with Reynolds numbers of 1600, 3200, and 6400 are quantitatively visualized by a new experimental method and also numerically analyzed. In the experiment, the laminar, transition, and turbulent flow regimes of the lid-driven rotating cavity flow are identified. In the present study, the digital vector velocimetry (DVV) system is developed for quantitative flow visualization of the rotating flows. Particle streak images from the particle streak velocimetry (PSV) method are also taken and qualitatively compared with the velocity vector field obtained from the DVV method. Because of the convex wall of the test cell, the side view images of the rotating flows are distorted in the radial direction. These optical distortions are analyzed and corrected using calibration curves prepared to recover the original, accurate axisymmetric rotating flow. The finite analytic (FA) method and the finite volume (FV) method are employed to numerically simulate the rotating flows for both laminar and turbulent cases. The laminar numerical results are quantitatively compared with the experimental data and the turbulent ones are provided as references for future work. The comparisons reveal good agreements for the laminar case. The DVV system performs nonintrusive, multi-point velocity measurements, which has an advantage over the time-consuming, conventional point-by-point measurement system such as laser Doppler velocimetry and hot-wire anemometry. The DVV system shows subpixel accuracy and broadens the dynamic range of the velocity by feedback analysis that selects consistent velocity vectors. With further advances in optics and electronics, the accuracy of the DVV measurements is expected to improve.

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