Improvement of the delaunay-tessellation particle tracking algorithm in the flow visualization research

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Abstract

The particle tracking velocimetry (PTV) algorithm is one of the most important branches in the flow visualization research. An efficient two-frame PTV based on Delaunay tessellation was updated by a novel concept called "Dual Computation". The updated algorithm was tested using CFD flows with changeable parameters and random erasing of particles as perturbation. In addition to the simple structure and the minimal dependence on algorithmic assumptions, the advantages of this updated algorithm also include the high accuracy in addressing complex flows with noticeable ratio of particles having no match.

Original languageEnglish
Title of host publicationInformation Technology Applications in Industry II
Pages2134-2137
Number of pages4
DOIs
StatePublished - 2013
Event2nd International Conference on Information Technology and Management Innovation, ICITMI 2013 - Zhuhai, China
Duration: 23 Jul 201324 Jul 2013

Publication series

NameApplied Mechanics and Materials
Volume411-414
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Information Technology and Management Innovation, ICITMI 2013
Country/TerritoryChina
CityZhuhai
Period23/07/1324/07/13

Keywords

  • CFD flow
  • Delaunay tessellation
  • Flow visualization
  • PTV
  • Particle matching

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