Abstract
A new digital particle image velocimetry (DPIV) proceeding method, namely, consecutive motion vector estimation algorithm, which fully employs the global information of sequential gray images and the physics property of flow field to get the precise velocity vector at each pixel, is proposed. Therefore it enlarges the application range of DPIV, especially for high-speed flow, large velocity gradient flow and rotational flow. The new method is applied to study the particle motion qualitatively in a partially filled rotary drum in this work. The results indicate that the newly developed algorithm describes the real flow field of granular motion in the transverse plane of rotary drum more accurately than the conventional cross-correlation method, which is adopted here as the comparative one. It can be concluded from DPIV analysis that the burden bed in rotary drum consists of two distinct regions, the active layer and the plug flow region. Moreover, the boundary of these two regions is an arc and the rotational speed plays an important role in the particles flow field.
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