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Title: Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model

Abstract

The multiscale FENE model is applied to a 3D square-square contraction flow problem. For this purpose, the stochastic Brownian configuration field method (BCF) has been coupled 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. The results of our simulations are compared with that of experimental measurements from literature and show a very good agreement. In particular, flow phenomena such as a strong vortex enhancement, streamline divergence and a flow inversion for highly elastic flows are reproduced. Due to their computational complexity, our simulations require massively parallel computations. Using a domain decomposition approach with MPI, the implementation achieves excellent scale-up results for up to 128 processors.

Authors:
;  [1]
  1. Institute for Numerical Simulation, University of Bonn (Germany)
Publication Date:
OSTI Identifier:
22270987
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 1593; Journal Issue: 1; Conference: PPS-29: 29. international conference of the Polymer Processing Society, Nuremberg (Germany), 15-19 Jul 2013; Other Information: (c) 2014 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; CALCULATION METHODS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; CONTRACTION; FLOW MODELS; FLUID FLOW; FLUIDS; NAVIER-STOKES EQUATIONS; STOCHASTIC PROCESSES; THREE-DIMENSIONAL CALCULATIONS; VORTICES

Citation Formats

Griebel, M., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de, and Rüttgers, A., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de. Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model. United States: N. p., 2014. Web. doi:10.1063/1.4873839.
Griebel, M., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de, & Rüttgers, A., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de. Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model. United States. https://doi.org/10.1063/1.4873839
Griebel, M., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de, and Rüttgers, A., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de. 2014. "Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model". United States. https://doi.org/10.1063/1.4873839.
@article{osti_22270987,
title = {Simulation of dilute polymeric fluids in a three-dimensional contraction using a multiscale FENE model},
author = {Griebel, M., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de and Rüttgers, A., E-mail: griebel@ins.uni-bonn.de, E-mail: ruettgers@ins.uni-bonn.de},
abstractNote = {The multiscale FENE model is applied to a 3D square-square contraction flow problem. For this purpose, the stochastic Brownian configuration field method (BCF) has been coupled 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. The results of our simulations are compared with that of experimental measurements from literature and show a very good agreement. In particular, flow phenomena such as a strong vortex enhancement, streamline divergence and a flow inversion for highly elastic flows are reproduced. Due to their computational complexity, our simulations require massively parallel computations. Using a domain decomposition approach with MPI, the implementation achieves excellent scale-up results for up to 128 processors.},
doi = {10.1063/1.4873839},
url = {https://www.osti.gov/biblio/22270987}, journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 1593,
place = {United States},
year = {Thu May 15 00:00:00 EDT 2014},
month = {Thu May 15 00:00:00 EDT 2014}
}