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Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids
Simulations of thermally driven phase change phenomena of nanofluids are still in their infancy. Locating the gas–liquid interface location as precisely as possible is one of the primary problems in simulating such flows. The VOF method is the most applied interface description method in commercial...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268034/ https://www.ncbi.nlm.nih.gov/pubmed/35808064 http://dx.doi.org/10.3390/nano12132228 |
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author | Yahyaee, Ali Bahman, Amir Sajjad Olesen, Klaus Sørensen, Henrik |
author_facet | Yahyaee, Ali Bahman, Amir Sajjad Olesen, Klaus Sørensen, Henrik |
author_sort | Yahyaee, Ali |
collection | PubMed |
description | Simulations of thermally driven phase change phenomena of nanofluids are still in their infancy. Locating the gas–liquid interface location as precisely as possible is one of the primary problems in simulating such flows. The VOF method is the most applied interface description method in commercial and open-source CFD software to simulate nanofluids’ thermal phase change. Using the VOF method directs to inaccurate curvature calculation, which drives artificial flows (numerical non-physical velocities), especially in the vicinity of the gas–liquid interface. To recover accuracy in simulation results by VOF, a solver coupling VOF with the level-set interface description method can be used, in which the VOF is employed to capture the interface since it is a mass conserving method and the level-set is employed to calculate the curvature and physical quantities near the interface. We implemented the aforementioned coupled level-set and VOF (CLSVOF) method within the open-source OpenFOAM [Formula: see text] framework and conducted a comparative analysis between CLSVOF and VOF (the default interface capturing method) to demonstrate the CLSVOF method’s advantages and disadvantages in various phase change scenarios. Using experimental mathematical correlations from the literature, we consider the effect of nanoparticles on the base fluid. Results shows that the new inferred technique provides more precise curvature calculation and greater agreement between simulated and analytical/benchmark solutions, but at the expense of processing time. |
format | Online Article Text |
id | pubmed-9268034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92680342022-07-09 Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids Yahyaee, Ali Bahman, Amir Sajjad Olesen, Klaus Sørensen, Henrik Nanomaterials (Basel) Article Simulations of thermally driven phase change phenomena of nanofluids are still in their infancy. Locating the gas–liquid interface location as precisely as possible is one of the primary problems in simulating such flows. The VOF method is the most applied interface description method in commercial and open-source CFD software to simulate nanofluids’ thermal phase change. Using the VOF method directs to inaccurate curvature calculation, which drives artificial flows (numerical non-physical velocities), especially in the vicinity of the gas–liquid interface. To recover accuracy in simulation results by VOF, a solver coupling VOF with the level-set interface description method can be used, in which the VOF is employed to capture the interface since it is a mass conserving method and the level-set is employed to calculate the curvature and physical quantities near the interface. We implemented the aforementioned coupled level-set and VOF (CLSVOF) method within the open-source OpenFOAM [Formula: see text] framework and conducted a comparative analysis between CLSVOF and VOF (the default interface capturing method) to demonstrate the CLSVOF method’s advantages and disadvantages in various phase change scenarios. Using experimental mathematical correlations from the literature, we consider the effect of nanoparticles on the base fluid. Results shows that the new inferred technique provides more precise curvature calculation and greater agreement between simulated and analytical/benchmark solutions, but at the expense of processing time. MDPI 2022-06-29 /pmc/articles/PMC9268034/ /pubmed/35808064 http://dx.doi.org/10.3390/nano12132228 Text en © 2022 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 Yahyaee, Ali Bahman, Amir Sajjad Olesen, Klaus Sørensen, Henrik Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids |
title | Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids |
title_full | Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids |
title_fullStr | Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids |
title_full_unstemmed | Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids |
title_short | Level-Set Interface Description Approach for Thermal Phase Change of Nanofluids |
title_sort | level-set interface description approach for thermal phase change of nanofluids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268034/ https://www.ncbi.nlm.nih.gov/pubmed/35808064 http://dx.doi.org/10.3390/nano12132228 |
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