Magister UT Burner CFX droplet dataset
DOI:10.4121/19355288.v2
        
    
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DOI: 10.4121/19355288
    DOI: 10.4121/19355288
Datacite citation style
Ghasemi Khourinia, Alireza; Kok, Jim (2022): Magister UT Burner CFX droplet dataset. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19355288.v2
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
Version 2 - 2022-06-28 (latest)
            Version 1 - 2022-03-16
        Simulation dataset corresponding to droplet evolution within Magister UT Burner. Corresponding to MAGISTER project ESR 7
History
- 2022-03-16 first online
- 2022-06-28 published, posted
Publisher
4TU.ResearchDataFormat
HF5References
Funding
- 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
Organizations
University of Twente, Faculty of Engineering Technology (ET), Thermal Engineering (TE)DATA
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