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Three-dimensional particle tracking velocimetry algorithm based on tetrahedron vote

  • Yutong Cui
  • , Yang Zhang
  • , Pan Jia
  • , Yuan Wang
  • , Jingcong Huang
  • , Junlei Cui
  • , Wing T. Lai
  • Xi'an Jiaotong University
  • Laboratoire de Physique des Solides
  • TSI Incorporated

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

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.

Original languageEnglish
Article number31
JournalExperiments in Fluids
Volume59
Issue number2
DOIs
StatePublished - 1 Feb 2018

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