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: 10.4121/19355288

Ghasemi Khourinia, Alireza; Kok, Jim (2022): Magister UT Burner CFX droplet dataset. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19355288.v2

Dataset

x choose version: version 1 - 2022-03-16

• Mechanical Engineering

airblast atomizer, CFD, droplet distribution, swirl burner

CC BY-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Alireza Ghasemi , Jim Kok

Simulation dataset corresponding to droplet evolution within Magister UT Burner. Corresponding to MAGISTER project ESR 7

• 2022-03-16 first online

• 2022-06-28 published, posted

4TU.ResearchData

HF5

• https://www.magister-itn.eu/

• The authors would like to acknowledge the funding of this research by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 766264
• Machine learning for Advanced Gas turbine Injection SysTems to Enhance combustoR performance. (grant code 766264) [more info...] European Commission

University of Twente, Faculty of Engineering Technology (ET), Thermal Engineering (TE)