Abstract

A flow visualization method entitled Digital Vector Velocimetry (DVV) method is introduced to extract the flow field quantitatively from particle images. This methodis applied to a lid-driven rotating cavity flow. In the DVV method, a time sequence of images are captured by a CCD (Charge Coupled Device) video camera with each frame containing a single-exposure image. All possible velocity vectors between two temporally successive images in the interrogating window are digitally constructed on the digital vectorgram. The most probable velocity vector is identified as the velocity vector of the maximum intensity in the digital vectorgram. The DVV system provides measurement with subpixel accuracy. The dynamic range of the velocity is expanded using feedback analysis that selects consistent velocity vectors.

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