Dataset underlying the publication: Numerical simulation of jet break-up using the Local Front Reconstruction Method

doi:10.4121/9c6acfe7-76d8-465c-b094-1ab50f026404.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: 10.4121/9c6acfe7-76d8-465c-b094-1ab50f026404
Datacite citation style:
Garcia Llamas, Cristina; Baltussen, Maike; Swami, Vivekanand; Kay Buist; Jennekens, Koen et. al. (2024): Dataset underlying the publication: Numerical simulation of jet break-up using the Local Front Reconstruction Method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9c6acfe7-76d8-465c-b094-1ab50f026404.v1
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Dataset
Eindhoven University of Technology logo
geolocation
De Groene Loper 3, Helix Building, Eindhoven
time coverage
2023
licence
cc-by.png logo CC BY 4.0

Primary break-up of liquid jets is often encountered in industrial processes and is scientifically challenging due to its complexity. An accurate description of the break-up length and droplet sizes is critical for controlling the jet dynamics and hence the process performance. Despite the extensive research performed on jet break-up, the existing correlations are not universally applicable to all encountered flow conditions. In this paper, we perform Direct Numerical Simulation of a cylindrical liquid jet using the Local Front Reconstruction Method (LFRM) to track the liquid-gas interface. Experiments are also carried out to validate the simulation results in the same range of Reynolds and Weber numbers. The LFRM method is able to accurately reproduce the experimental break-up lengths and droplet diameters. The surface waves propagating along the jet are compared with the dominant wavelengths reported in literature. It can be concluded that LFRM can accurately describe the dynamics of laminar jets. 

history
  • 2024-01-17 first online, published, posted
publisher
4TU.ResearchData
format
The simulations were run using the code FoxBerry (CFD in-house code in C++). The numerical results were postprocessed using Python 3.6. The experimental results are analyzed using Matlab R2022b
funding
  • TKI-Energy and Industry
  • Danone
  • dsm firmenich
  • FrieslandCampina
organizations
TU Eindhoven, Department of Chemical Engineering and Chemistry

DATA - not available

Publishing is not allowed under the current IP agreements with the funders of the research project. Access to the data can be requested by contacting the author or [email protected]. Access requests will be evaluated on a case-by-case basis

DATA