Three-dimensional particle tracking velocimetry algorithm based on tetrahedron vote

被引：9

作者：

Cui, Yutong ^{[1
]}

Zhang, Yang ^{[1
]}

Jia, Pan ^{[2
]}

Wang, Yuan ^{[1
]}

Huang, Jingcong ^{[1
]}

Cui, Junlei ^{[3
]}

Lai, Wing T. ^{[3
]}

机构：

[1] Xi An Jiao Tong Univ, Dept Fluid Machinery & Engn, Xianning West 28, Xian 710049, Shaanxi, Peoples R China

[2] Univ Paris Saclay, Univ Paris Sud, CNRS, LPS,UMR 8502, F-91405 Orsay, France

[3] TSI Inc, 500 Cardigan Rd, Shoreview, MN 55126 USA

来源：

EXPERIMENTS IN FLUIDS | 2018年 / 59卷 / 02期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

FLOWS; PTV; PIV;

D O I：

10.1007/s00348-017-2485-9

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A particle tracking velocimetry algorithm based on tetrahedron vote, which is named TV-PTV, is proposed to overcome the limited selection problem of effective algorithms for 3D flow visualisation. In this new cluster-matching algorithm, tetrahedrons produced by the Delaunay tessellation are used as the basic units for inter-frame matching, which results in a simple algorithmic structure of only two independent preset parameters. Test results obtained using the synthetic test image data from the Visualisation Society of Japan show that TV-PTV presents accuracy comparable to that of the classical algorithm based on new relaxation method (NRX). Compared with NRX, TV-PTV possesses a smaller number of loops in programming and thus a shorter computing time, especially for large particle displacements and high particle concentration. TV-PTV is confirmed practically effective using an actual 3D wake flow.

引用

页数：12

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