Dataset underlying the manuscript "Using Dimensionless Numbers to Understand Interfacial Mass Transfer in Parallel Flow in a Microchannel"

doi:10.4121/85fa13dc-e7a6-4773-8649-c511bfb552f3.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: 10.4121/85fa13dc-e7a6-4773-8649-c511bfb552f3
Datacite citation style:
Sudha, Anand; Rohde, Martin (2024): Dataset underlying the manuscript "Using Dimensionless Numbers to Understand Interfacial Mass Transfer in Parallel Flow in a Microchannel". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/85fa13dc-e7a6-4773-8649-c511bfb552f3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset is the basis for the forthcoming publication tentatively titled "Using Dimensionless Numbers to Understand Interfacial Mass Transfer in Parallel Flow in a Microchannel" corresponding to a part of Chapter 6 in the dissertation. In this dataset, simulations were conducted to understand the mass transfer involved in parallel flow in a microchannel. All the data corresponds to the images obtained from these simulations.

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)