4.7 Article

Study of preferential concentration in turbulent flows using combined graph theory and Voronoi analysis

Journal

PHYSICS OF FLUIDS
Volume 34, Issue 5, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0091469

Keywords

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Funding

  1. Engineering and Physical Sciences Research Council (EPSRC) [EP/K019732/1]
  2. EPSRC

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This study uses a combination of graph theory and Voronoi analysis to investigate the structure and internal sub-structure of clusters. Experimental results show that large clusters have a significantly large number of neighboring particles for collisions, while small clusters have a random number of neighbors.
Collisions between particles in turbulent flows may he enhanced by the formation of clusters due to the preferential concentration effect. However, the internal sub-structure of the clusters remains unclear. This paper describes using the degree of a node and the shortest path length from graph theory, in combination with Voronoi analysis, to gain further insight into both the structure and internal sub-structure of a cluster. This is demonstrated on experimental measurements obtained from a confined counter-flow/jet system. A minority of the particles, which comprise large clusters, are found to have a significantly large number of neighboring particles for collisions. However, particles which comprise small clusters typically have a random number of neighbors. Published under an exclusive license by AIP Publishing.

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