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Title:

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

Document type:
Forschungsdaten
Publication date:
17.03.2022
Responsible:
Sagar Kulkarni
Authors:
Kulkarni, Sagar; Guo, Shuai; Silva, Camilo F.; Polifke, Wolfgang
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2022mp1651629
End date of data production:
31.01.2021
Subject area:
MAS Maschinenbau; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik
Resource type:
Simulationen / simulations
Data type:
Datenbanken / data bases
Description:
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
Method of data assessment:
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
Links:

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

Key words:
Flame Impulse Response; AVBP; Uncertainty Quantification
Technical remarks:
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/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
766264
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