001     852555
005     20210129235136.0
037 _ _ |a FZJ-2018-05475
041 _ _ |a English
100 1 _ |a Belt, Alexander
|0 P:(DE-Juel1)138417
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Third European Symposium on Fire Safety Sciences
|g ESFSS2018
|c Nancy
|d 2018-09-12 - 2018-09-14
|w France
245 _ _ |a On the discrepancy of modelling the heat transfer for pure natural convection
260 _ _ |c 2018
300 _ _ |a 6
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 1537947870_3148
|2 PUB:(DE-HGF)
520 _ _ |a In the present study, buoyancy driven flow fields in a bench scale apparatus are experimentally invest- igated by means of a non intrusive measurement technique, here the 2D-2C particle image velocimetry (PIV). An electrically heated copper block was used to induce a plume. As the temperature at the surface of the heating source is the main driver for the fluid dynamics, the surface temperature field was measured by thermography. The experimental results are compared to simulations with the Fire Dynamics Simulator (FDS). Simulations with a prescribed, homogeneous distributed surface heat flux and a 3D thermal heat conduction with a volumetric heat source were carried out. The impact of both approaches on the resulting flow fields showed no significant deviations, however, both do not agree with the experimental data. Whereas the surface temperatures of the heating source and its vicinity are in a good agreement for the 3D heat transfer approach. This leads to the conclusion that the modelled heat transfer mechanism does not provide valid predictions in this setup.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
700 1 _ |a Böhler, Max
|0 P:(DE-Juel1)173968
|b 1
|u fzj
700 1 _ |a Rommeswinkel, Leonie
|0 P:(DE-Juel1)165800
|b 2
700 1 _ |a Arnold, Lukas
|0 P:(DE-Juel1)132044
|b 3
856 4 _ |u https://juser.fz-juelich.de/record/852555/files/2018_ESFSS_Belt_etAl.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/852555/files/2018_ESFSS_Belt_etAl.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:852555
|p extern4vita
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)138417
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)173968
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)132044
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2018
920 _ _ |l yes
980 1 _ |a EXTERN4VITA
980 _ _ |a contrib
980 _ _ |a USER
980 _ _ |a I:(DE-Juel1)IAS-7-20180321


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21