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On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber
Computational fluid dynamics (CFD) simulation is an important tool as it enables engineers to study different design options without a time-consuming experimental workload. However, the prediction accuracy of any CFD simulation depends upon the set boundary conditions and upon the applied rheologica...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309517/ https://www.ncbi.nlm.nih.gov/pubmed/34301080 http://dx.doi.org/10.3390/polym13142323 |
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author | Stieger, Sebastian Mitsoulis, Evan Walluch, Matthias Ebner, Catharina Kerschbaumer, Roman Christopher Haselmann, Matthias Mostafaiyan, Mehdi Kämpfe, Markus Kühnert, Ines Wießner, Sven Friesenbichler, Walter |
author_facet | Stieger, Sebastian Mitsoulis, Evan Walluch, Matthias Ebner, Catharina Kerschbaumer, Roman Christopher Haselmann, Matthias Mostafaiyan, Mehdi Kämpfe, Markus Kühnert, Ines Wießner, Sven Friesenbichler, Walter |
author_sort | Stieger, Sebastian |
collection | PubMed |
description | Computational fluid dynamics (CFD) simulation is an important tool as it enables engineers to study different design options without a time-consuming experimental workload. However, the prediction accuracy of any CFD simulation depends upon the set boundary conditions and upon the applied rheological constitutive equation. In the present study the viscoelastic nature of an unfilled gum acrylonitrile butadiene rubber (NBR) is considered by applying the integral and time-dependent Kaye–Bernstein–Kearsley–Zapas (K-BKZ) rheological model. First, exhaustive testing is carried out in the linear viscoelastic (LVE) and non-LVE deformation range including small amplitude oscillatory shear (SAOS) as well as high pressure capillary rheometer (HPCR) tests. Next, three abrupt capillary dies and one tapered orifice die are modeled in Ansys POLYFLOW. The pressure prediction accuracy of the K-BKZ/Wagner model was found to be excellent and insensitive to the applied normal force in SAOS testing as well as to the relation of first and second normal stress differences, provided that damping parameters are fitted to steady-state rheological data. Moreover, the crucial importance of viscoelastic modeling is proven for rubber materials, as two generalized Newtonian fluid (GNF) flow models severely underestimate measured pressure data, especially in contraction flow-dominated geometries. |
format | Online Article Text |
id | pubmed-8309517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83095172021-07-25 On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber Stieger, Sebastian Mitsoulis, Evan Walluch, Matthias Ebner, Catharina Kerschbaumer, Roman Christopher Haselmann, Matthias Mostafaiyan, Mehdi Kämpfe, Markus Kühnert, Ines Wießner, Sven Friesenbichler, Walter Polymers (Basel) Article Computational fluid dynamics (CFD) simulation is an important tool as it enables engineers to study different design options without a time-consuming experimental workload. However, the prediction accuracy of any CFD simulation depends upon the set boundary conditions and upon the applied rheological constitutive equation. In the present study the viscoelastic nature of an unfilled gum acrylonitrile butadiene rubber (NBR) is considered by applying the integral and time-dependent Kaye–Bernstein–Kearsley–Zapas (K-BKZ) rheological model. First, exhaustive testing is carried out in the linear viscoelastic (LVE) and non-LVE deformation range including small amplitude oscillatory shear (SAOS) as well as high pressure capillary rheometer (HPCR) tests. Next, three abrupt capillary dies and one tapered orifice die are modeled in Ansys POLYFLOW. The pressure prediction accuracy of the K-BKZ/Wagner model was found to be excellent and insensitive to the applied normal force in SAOS testing as well as to the relation of first and second normal stress differences, provided that damping parameters are fitted to steady-state rheological data. Moreover, the crucial importance of viscoelastic modeling is proven for rubber materials, as two generalized Newtonian fluid (GNF) flow models severely underestimate measured pressure data, especially in contraction flow-dominated geometries. MDPI 2021-07-15 /pmc/articles/PMC8309517/ /pubmed/34301080 http://dx.doi.org/10.3390/polym13142323 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Stieger, Sebastian Mitsoulis, Evan Walluch, Matthias Ebner, Catharina Kerschbaumer, Roman Christopher Haselmann, Matthias Mostafaiyan, Mehdi Kämpfe, Markus Kühnert, Ines Wießner, Sven Friesenbichler, Walter On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber |
title | On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber |
title_full | On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber |
title_fullStr | On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber |
title_full_unstemmed | On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber |
title_short | On the Influence of Viscoelastic Modeling in Fluid Flow Simulations of Gum Acrylonitrile Butadiene Rubber |
title_sort | on the influence of viscoelastic modeling in fluid flow simulations of gum acrylonitrile butadiene rubber |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309517/ https://www.ncbi.nlm.nih.gov/pubmed/34301080 http://dx.doi.org/10.3390/polym13142323 |
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