Code for evaluating the theoretical model and data for figures in the publication "A predictive model for bubble-particle collisions in turbulence"

DOI:10.4121/6b9f4a02-f691-4d49-a5c5-6daae318d3fe.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/6b9f4a02-f691-4d49-a5c5-6daae318d3fe

Datacite citation style

Timothy T.K. Chan; Jiang, Linfeng; Dominik Krug (2025): Code for evaluating the theoretical model and data for figures in the publication "A predictive model for bubble-particle collisions in turbulence". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6b9f4a02-f691-4d49-a5c5-6daae318d3fe.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

  • Computer code which calculates the prediction of the model presented in "A predictive model for bubble–particle collisions in turbulence", Chem. Eng Sci.
  • Statistics from simulations of non-deformable finite-size spherical bubbles and point-particles in homogeneous isotropic turbulence at Taylor Reynolds number of 64.

History

  • 2025-11-14 first online, published, posted

Publisher

4TU.ResearchData

Format

text/x-matlab, application/x-matlab-data, text/plain, csv

Funding

  • Unravelling bubble-particle collisions in turbulence (grant code 950111) [more info...] European Research Council

Organizations

University of Twente, Faculty Science and Technology, Physics of Fluids Group
RWTH Aachen University, Institute of Aerodynamics

DATA

Files (1)