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

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

Dataset

• Mechanical Engineering

Combustion, Desire combustor, LIMOUSINE combustor, Pressure time series, Self-excited high amplitude oscillations, Sinusoidal acoustic forcing, Thermoacoustic Instabilities

CC BY-ND 4.0

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

by Sara Navarro Arredondo

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”.

• 2022-03-24 first online, published, posted

4TU.ResearchData

• https://iiav.org/content/archives_icsv_last/2019_icsv26/content/papers/papers/full_paper_940_20190430141218775.pdf
• https://iiav.org/content/archives_icsv_last/2021_icsv27/content/papers/papers/full_paper_916_20210617163451357.pdf

• 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)