Data set - MAGISTER ESR12 - Characterization of acoustically (un)forced flames in two different combustors

doi: 10.4121/19355384.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: 10.4121/19355384
Datacite citation style:
Sara Navarro Arredondo (2022): Data set - MAGISTER ESR12 - Characterization of acoustically (un)forced flames in two different combustors. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19355384.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset is used in the conference paper ICSV 26: “A model to study spontaneous oscillations in a lean premixed combustor using nonlinear analysis”, and ICSV 27 “Statistical study of high amplitude oscillations in a premix combustor”.
history
  • 2022-03-24 first online, published, posted
publisher
4TU.ResearchData
funding
  • 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

files