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

DOI:10.4121/19355384.v1
The DOI displayed 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 (1)