ALGORITHM FOR AUTOMATICA-LLY DETECTING

SPURIOUS VECTORS IN PIV DATA

Ruan Xiaodong

(The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027)

Wu Feng

(Institute of Power Machinery and Vehicle Engineering, Zhejiang University, Hangzhou 310027)

Yang Huayong

(The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027)

Yamamoto F

(Department of Mechanical Engineering, Fukui University, Japan, Fukui 910-8507)

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: PIV  Spurious vector  Deleting  Post-processing

CLC No: TB937

国家自然科学基金(50206019、50335010)、水动力学国家级重点实验室基金(00JS21.2.1.JW0402)和浙江省自然科学基金(502046)资助项目. Received 20030915, received in revised form 20040118