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CFD-DEM model of plugging in flow with cohesive particles
Plugging in flows with cohesive particles is crucial in many industrial and real-life applications such as hemodynamics, water distribution, and petroleum flow assurance. Although probabilistic models for plugging risk estimation are presented in the literature, multiple details of the process remai...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567799/ https://www.ncbi.nlm.nih.gov/pubmed/37821662 http://dx.doi.org/10.1038/s41598-023-44202-7 |
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author | Saparbayeva, Nazerke Balakin, Boris V. |
author_facet | Saparbayeva, Nazerke Balakin, Boris V. |
author_sort | Saparbayeva, Nazerke |
collection | PubMed |
description | Plugging in flows with cohesive particles is crucial in many industrial and real-life applications such as hemodynamics, water distribution, and petroleum flow assurance. Although probabilistic models for plugging risk estimation are presented in the literature, multiple details of the process remain unclear. In this paper, we present a CFD-DEM model of plugging validated against several experimental benchmarks. Using the simulations, we consider the process of plugging in a slurry of ice in decane, focusing on inter-particle collisions and plugging dynamics. We conduct a parametric study altering the Reynolds number (3000...9000), particle concentration (1.6...7.3%), and surface energy (21...541 mJ/m[Formula: see text] ). We note the process possesses complex non-linear behaviour for the cases where particle-wall adhesion reduces by more than 20% relative to inter-particle cohesion. Finally, we demonstrate how the simulation results match the flow maps based on the third-party experiments. |
format | Online Article Text |
id | pubmed-10567799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105677992023-10-13 CFD-DEM model of plugging in flow with cohesive particles Saparbayeva, Nazerke Balakin, Boris V. Sci Rep Article Plugging in flows with cohesive particles is crucial in many industrial and real-life applications such as hemodynamics, water distribution, and petroleum flow assurance. Although probabilistic models for plugging risk estimation are presented in the literature, multiple details of the process remain unclear. In this paper, we present a CFD-DEM model of plugging validated against several experimental benchmarks. Using the simulations, we consider the process of plugging in a slurry of ice in decane, focusing on inter-particle collisions and plugging dynamics. We conduct a parametric study altering the Reynolds number (3000...9000), particle concentration (1.6...7.3%), and surface energy (21...541 mJ/m[Formula: see text] ). We note the process possesses complex non-linear behaviour for the cases where particle-wall adhesion reduces by more than 20% relative to inter-particle cohesion. Finally, we demonstrate how the simulation results match the flow maps based on the third-party experiments. Nature Publishing Group UK 2023-10-11 /pmc/articles/PMC10567799/ /pubmed/37821662 http://dx.doi.org/10.1038/s41598-023-44202-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Saparbayeva, Nazerke Balakin, Boris V. CFD-DEM model of plugging in flow with cohesive particles |
title | CFD-DEM model of plugging in flow with cohesive particles |
title_full | CFD-DEM model of plugging in flow with cohesive particles |
title_fullStr | CFD-DEM model of plugging in flow with cohesive particles |
title_full_unstemmed | CFD-DEM model of plugging in flow with cohesive particles |
title_short | CFD-DEM model of plugging in flow with cohesive particles |
title_sort | cfd-dem model of plugging in flow with cohesive particles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567799/ https://www.ncbi.nlm.nih.gov/pubmed/37821662 http://dx.doi.org/10.1038/s41598-023-44202-7 |
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