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Titel:

Temporal data of the turbulent swirl EM2C burner at different combustor back plate temperatures for the estimation of Flame Impulse Response

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
17.03.2022
Verantwortlich:
Sagar Kulkarni
Autorinnen / Autoren:
Kulkarni, Sagar; Guo, Shuai; Silva, Camilo F.; Polifke, Wolfgang
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Identifikator:
doi:10.14459/2022mp1651629
Enddatum der Datenerzeugung:
31.01.2021
Fachgebiet:
MAS Maschinenbau; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik
Quellen der Daten:
Simulationen / simulations
Datentyp:
Datenbanken / data bases
Methode der Datenerhebung:
The database was generated using the fully compressible CFD code AVBP developed by CERFACS (www.cerfacs.fr/avbp7x/index.php). Large Eddy Simulations were run using AVBP 7.0.1 version at different combustor back plate temperatures according to Kulkarni et al., Confidence in Flame Impulse Response Estimation From Large Eddy Simulation With Uncertain Thermal Boundary Conditions, JEGTP, GTP-21-1276, https://doi.org/10.1115/1.4052022 on the LRZ SuperMUC-NG supercomputer
Beschreibung:
The dataset contains the statistically-steady state data (.h5) generated from fully compressible LES simulations carried out in AVBP 7.0.1 at the base combustor back plate temperature of 823 K. The dataset also contains temporal data (.h5) of the simulations carried out at different combustor back plate temperatures as described in the work of Kulkarni et al., Confidence in Flame Impulse Response Estimation From Large Eddy Simulation With Uncertain Thermal Boundary Conditions, JEGTP, GTP-21-1276, https://doi.org/10.1115/1.4052022
Links:

This dataset relates to the publication: https://doi.org/10.1115/1.4052022

Schlagworte:
Flame Impulse Response; AVBP; Uncertainty Quantification
Technische Hinweise:
View and download (4,2 GB total, 245 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1651629):
rsync rsync:// m1651629@dataserv.ub.tum.de/ m1651629/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
766264
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