• CN：11-2187/TH
  • ISSN：0577-6686
机械工程学报

›› 2004, Vol. 40 ›› Issue (7): 89-92.

• 论文 • 上一篇    下一篇

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一种自动检测PIV数据中误矢量的算法

阮晓东;吴锋;杨华勇;山本富士夫   

  1. 浙江大学流体传动及控制国家重点实验室;浙江大学动力机械及车辆工程研究所;日本福井大学机械工学科
  • 发布日期:2004-07-15

ALGORITHM FOR AUTOMATICA-LLY DETECTING SPURIOUS VECTORS IN PIV DATA

Ruan Xiaodong;Wu Feng;Yang Huayong;Yamamoto F   

  1. The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University Institute of Power Machinery and Vehicle Engineering, Zhejiang University Department of Mechanical Engineering, Fukui University, Japan
  • Published:2004-07-15

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摘要： 采用Delaunay网格技术，从流体的连续性出发提出一种新的自动检测PIV(粒子图像测速)数据中误矢量的算法。通过对固体旋转涡流场的计算机模拟，对该方法进行了检验。结果表明，该方法能准确地进行误矢量的识别，同时采用Delaunay网格技术可以对删除点进行插值，得到全流场的瞬态速度矢量。最后将该算法运用于真实的试验流场测量。

关键词: 后处理, 粒子图像测速, 删除, 误矢量

Abstract: A new algorithm for automatically detecting spurious vectors in PIV data is set up by using Delauney tessellation technique and considering continuity of fluid. The method is justified by simulating a solid rotational flow. The results show that the method can identify the spurious vectors precisely. In addition, the deleted points can be interpolated by the Delauney tessellation technique and the full-field velocity vectors can be obtained. Finally, the new method is applied to the real experimental images.

Key words: Deleting, PIV, Post-processing, Spurious vector

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