A New DPIV Proceeding Algorithm and Its Application in Particle Motion Study in a Rotary Drum

作     者：Zhixiao Zhang Yong Chi Shuiqing Li Xiaojiang Shen Kefa Cen 

作者机构：Zhejiang Univ Inst Thermal Power Engn Natl Key Lab MOE Clean Energy & Environm Engn Hangzhou 310027 Peoples R China 

出 版 物：《Journal of Thermal Science》 (热科学学报（英文版）)

年 卷 期：2002年第11卷第2期

页      面：186-192页

核心收录：

学科分类：080701[工学-工程热物理] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：This research was supported mainly by National Natural Science Foundation of China (No.50076037) partially by Zhejiang Provincial National Science Funds of China (No.RC99041) The authors are also grateful to Wang Xingguo and Chen Bing for helpful di 

主　　题：DPIV rotary drum granular flow motion estimation. 

摘      要：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