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Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids
The addition of metal oxide nanoparticles to fluids has been used as a means of enhancing the thermal conductive properties of base fluids. This method formulates a heterogeneous fluid conferred by nanoparticles and can be used for high-end fluid heat-transfer applications, such as phase-change mate...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Beilstein-Institut
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273982/ https://www.ncbi.nlm.nih.gov/pubmed/35874439 http://dx.doi.org/10.3762/bjnano.13.54 |
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author | Loya, Adil Najib, Antash Aziz, Fahad Khan, Asif Ren, Guogang Luo, Kun |
author_facet | Loya, Adil Najib, Antash Aziz, Fahad Khan, Asif Ren, Guogang Luo, Kun |
author_sort | Loya, Adil |
collection | PubMed |
description | The addition of metal oxide nanoparticles to fluids has been used as a means of enhancing the thermal conductive properties of base fluids. This method formulates a heterogeneous fluid conferred by nanoparticles and can be used for high-end fluid heat-transfer applications, such as phase-change materials and fluids for internal combustion engines. These nanoparticles can enhance the properties of both polar and nonpolar fluids. In the current paper, dispersions of nanoparticles were carried out in hydrocarbon and aqueous-based fluids using molecular dynamic simulations (MDS). The MDS results have been validated using the autocorrelation function and previous experimental data. Highly concurrent trends were achieved for the obtained results. According to the obtained results of MDS, adding CuO nanoparticles increased the thermal conductivity of water by 25% (from 0.6 to 0.75 W·m(−1)·K(−1)). However, by adding these nanoparticles to hydrocarbon-based fluids (i.e., alkane) the thermal conductivity was increased three times (from 0.1 to 0.4 W·m(−1)·K(−1)). This approach to determine the thermal conductivity of metal oxide nanoparticles in aqueous and nonaqueous fluids using visual molecular dynamics and interactive autocorrelations demonstrate a great tool to quantify thermophysical properties of nanofluids using a simulation environment. Moreover, this comparison introduces data on aqueous and nonaqueous suspensions in one study. |
format | Online Article Text |
id | pubmed-9273982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Beilstein-Institut |
record_format | MEDLINE/PubMed |
spelling | pubmed-92739822022-07-21 Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids Loya, Adil Najib, Antash Aziz, Fahad Khan, Asif Ren, Guogang Luo, Kun Beilstein J Nanotechnol Full Research Paper The addition of metal oxide nanoparticles to fluids has been used as a means of enhancing the thermal conductive properties of base fluids. This method formulates a heterogeneous fluid conferred by nanoparticles and can be used for high-end fluid heat-transfer applications, such as phase-change materials and fluids for internal combustion engines. These nanoparticles can enhance the properties of both polar and nonpolar fluids. In the current paper, dispersions of nanoparticles were carried out in hydrocarbon and aqueous-based fluids using molecular dynamic simulations (MDS). The MDS results have been validated using the autocorrelation function and previous experimental data. Highly concurrent trends were achieved for the obtained results. According to the obtained results of MDS, adding CuO nanoparticles increased the thermal conductivity of water by 25% (from 0.6 to 0.75 W·m(−1)·K(−1)). However, by adding these nanoparticles to hydrocarbon-based fluids (i.e., alkane) the thermal conductivity was increased three times (from 0.1 to 0.4 W·m(−1)·K(−1)). This approach to determine the thermal conductivity of metal oxide nanoparticles in aqueous and nonaqueous fluids using visual molecular dynamics and interactive autocorrelations demonstrate a great tool to quantify thermophysical properties of nanofluids using a simulation environment. Moreover, this comparison introduces data on aqueous and nonaqueous suspensions in one study. Beilstein-Institut 2022-07-07 /pmc/articles/PMC9273982/ /pubmed/35874439 http://dx.doi.org/10.3762/bjnano.13.54 Text en Copyright © 2022, Loya et al. https://creativecommons.org/licenses/by/4.0/This is an open access article licensed under the terms of the Beilstein-Institut Open Access License Agreement (https://www.beilstein-journals.org/bjnano/terms/terms), which is identical to the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ). The reuse of material under this license requires that the author(s), source and license are credited. Third-party material in this article could be subject to other licenses (typically indicated in the credit line), and in this case, users are required to obtain permission from the license holder to reuse the material. |
spellingShingle | Full Research Paper Loya, Adil Najib, Antash Aziz, Fahad Khan, Asif Ren, Guogang Luo, Kun Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
title | Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
title_full | Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
title_fullStr | Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
title_full_unstemmed | Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
title_short | Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
title_sort | comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids |
topic | Full Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273982/ https://www.ncbi.nlm.nih.gov/pubmed/35874439 http://dx.doi.org/10.3762/bjnano.13.54 |
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