Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model
Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model
Dokument öffnen (1.9MB)Datum der Veröffentlichung
04.2013Verlag / herausgebende Einrichtung
Institut für Numerische Simulation (INS)Verlagsort
BonnMetadaten
Zur Langanzeige
Zitierbarer Link (Handle URI) 
https://hdl.handle.net/20.500.11811/11925
Inhalt
We apply the multiscale FENE model to a 3D square-square contraction flow problem. For this purpose, wecouple the stochastic Brownian configuration field method (BCF) with our fully parallelized three-dimensional Navier-Stokes solver NaSt3DGPF. The robustness of the BCF method enables the numerical simulation of high Deborah number flows for which most macroscopic methods suffer from stability issues. We compare the results of our simulations with that of experimental measurements from literature and obtain a very good agreement. In particular, we are able to reproduce effects such as strong vortex enhancement, streamline divergence and flow inversion for highly elastic flows. Due to their computational complexity, our simulations require massively parallel computations. Using a domain decomposition approach with MPI, we achieve excellent scale-up results for up to 128 processors.
Schlagwörter
dilute polymeric fluids, multiscale method, Brownian configuration fields, FENE model, parallel computing
Klassifikation (DDC)
510 Mathematik 518 Numerische AnalysisErstpublikation
https://ins.uni-bonn.de/publication/preprintsZugehörige Publikation(en)
https://doi.org/10.1063/1.4873839Reihe, Nummer
INS Preprints ; 1308Griebel, Michael; Rüttgers, Alexander: Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model. In: INS Preprints, 1308.
Online-Ausgabe in bonndoc: https://hdl.handle.net/20.500.11811/11925
Online-Ausgabe in bonndoc: https://hdl.handle.net/20.500.11811/11925
@unpublished{handle:20.500.11811/11925,
author = {{Michael Griebel} and {Alexander Rüttgers}},
title = {Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model},
publisher = {Institut für Numerische Simulation (INS)},
year = 2013,
month = apr,
INS Preprints},
volume = 1308,
note = {We apply the multiscale FENE model to a 3D square-square contraction flow problem. For this purpose, wecouple the stochastic Brownian configuration field method (BCF) with our fully parallelized three-dimensional Navier-Stokes solver NaSt3DGPF. The robustness of the BCF method enables the numerical simulation of high Deborah number flows for which most macroscopic methods suffer from stability issues. We compare the results of our simulations with that of experimental measurements from literature and obtain a very good agreement. In particular, we are able to reproduce effects such as strong vortex enhancement, streamline divergence and flow inversion for highly elastic flows. Due to their computational complexity, our simulations require massively parallel computations. Using a domain decomposition approach with MPI, we achieve excellent scale-up results for up to 128 processors.},
url = {https://hdl.handle.net/20.500.11811/11925}
}
author = {{Michael Griebel} and {Alexander Rüttgers}},
title = {Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model},
publisher = {Institut für Numerische Simulation (INS)},
year = 2013,
month = apr,
INS Preprints},
volume = 1308,
note = {We apply the multiscale FENE model to a 3D square-square contraction flow problem. For this purpose, wecouple the stochastic Brownian configuration field method (BCF) with our fully parallelized three-dimensional Navier-Stokes solver NaSt3DGPF. The robustness of the BCF method enables the numerical simulation of high Deborah number flows for which most macroscopic methods suffer from stability issues. We compare the results of our simulations with that of experimental measurements from literature and obtain a very good agreement. In particular, we are able to reproduce effects such as strong vortex enhancement, streamline divergence and flow inversion for highly elastic flows. Due to their computational complexity, our simulations require massively parallel computations. Using a domain decomposition approach with MPI, we achieve excellent scale-up results for up to 128 processors.},
url = {https://hdl.handle.net/20.500.11811/11925}
}
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