Magister UT Burner experimental droplet measurements

dataset

posted on 2022-11-29, 09:17 authored by Thomas Christou, Björn Stelzner, Nikolaos Zarzalis

Experimental dataset corresponding to droplet evolution within Magister UT Burner.

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.

European Commission

Find out more...

History

Publisher

4TU.ResearchData

Format

hdf5

Organizations

Engler-Bunte-Institute, Division of Combustion Technology, Karlsruhe Institute of Technology

Usage metrics

Categories

Mechanical Engineering

Keywords

aitblast atomizer swirl burner droplet distribution experimental Phase Doppler anemometry Mechanical Engineering

Licence

Exports