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Multiscale simulations of three-dimensional viscoelastic flows in a square-square contraction

dc.contributor.authorGriebel, Michael
dc.contributor.authorRüttgers, Alexander
dc.date.accessioned2024-08-23T07:16:36Z
dc.date.available2024-08-23T07:16:36Z
dc.date.issued03.2015
dc.identifier.urihttps://hdl.handle.net/20.500.11811/11929
dc.description.abstractWe apply the multiscale FENE model to a 3D square-square contraction flow problem and to two 2D benchmark experiments. For this purpose, we couple 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 higher Deborah number flows for which most macroscopic methods suffer from stability issues. We validate our implementation by investigating the numerical error for a 2D viscoelastic Poiseuille flow that has an analytical solution. Furthermore, we compare the FENE model with the FENE-P closure for a two-dimensional 4 : 1 contraction flow. We then compare the results of our 3D 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. To this end, we use a domain decomposition approach with MPI.en
dc.format.extent29
dc.language.isoeng
dc.relation.ispartofseriesINS Preprints ; 1313
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectmultiscale simulation
dc.subjectmicro-macro method
dc.subjectBrownian configuration fields
dc.subjectFENE dumbbell
dc.subject3D contraction flow
dc.subjecthigh-performance computing
dc.subject.ddc510 Mathematik
dc.subject.ddc518 Numerische Analysis
dc.titleMultiscale simulations of three-dimensional viscoelastic flows in a square-square contraction
dc.typePreprint
dc.publisher.nameInstitut für Numerische Simulation (INS)
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.relation.doihttps://doi.org/10.1016/j.jnnfm.2014.01.004
ulbbn.pubtypeZweitveröffentlichung
dc.versionupdatedVersion
dcterms.bibliographicCitation.urlhttps://ins.uni-bonn.de/publication/preprints


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