Data underlying the publication: A Modified forcing approach in the Rothman–Keller method for simulations of flow phenomena at low capillary numbers.

doi:10.4121/17e98f9c-bb74-4827-bb63-1e8bb97cf19b.v1
The doi 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: 10.4121/17e98f9c-bb74-4827-bb63-1e8bb97cf19b
Datacite citation style:
Sudha, Anand; Rohde, Martin (2024): Data underlying the publication: A Modified forcing approach in the Rothman–Keller method for simulations of flow phenomena at low capillary numbers. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17e98f9c-bb74-4827-bb63-1e8bb97cf19b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The dataset is the basis for the publication of "A modified forcing approach in the Rothman–Keller method for simulations of flow phenomena at low capillary numbers", intended to be Chapter 2 in the corresponding dissertation. The publication seeks to implement a modified forcing approach to the Rothman Keller (Lattice-Boltzmann) model to capture flow regimes at low Capillary numbers by comparing with experiments. This data consists of all the results obtained from the simulations in the form of eps files.

history
  • 2024-10-23 first online, published, posted
publisher
4TU.ResearchData
format
image/eps
funding
  • Fast and Efficient Purification of Medical Isotopes by Microfluidic Extraction (grant code 16913) Nederlandse Organisatie voor Wetenschappelijk Onderzoek
organizations
TU Delft, Faculty of Applied Sciences, Department of Radiation Science and Technology, Reactor Institute Delft, Reactor Physics and Nuclear Materials

DATA

files (2)