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Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM)
The science of nanofluids is still fairly new and due to this, the properties of many nanofluids are yet to be explored. Therefore, equations for precise calculations in this field are not available yet. For this reason, as a thermophysical property of an MWCNT (40%)/TiO(2) (60%) hybrid nanofluid (H...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720018/ https://www.ncbi.nlm.nih.gov/pubmed/36478835 http://dx.doi.org/10.1016/j.heliyon.2022.e11944 |
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author | Hemmat Esfe, Mohammad Motallebi, Sayyid Majid Toghraie, Davood |
author_facet | Hemmat Esfe, Mohammad Motallebi, Sayyid Majid Toghraie, Davood |
author_sort | Hemmat Esfe, Mohammad |
collection | PubMed |
description | The science of nanofluids is still fairly new and due to this, the properties of many nanofluids are yet to be explored. Therefore, equations for precise calculations in this field are not available yet. For this reason, as a thermophysical property of an MWCNT (40%)/TiO(2) (60%) hybrid nanofluid (HNF), in this research, the viscosity of HNF with 10W40 oil as the base fluid, in a temperature range of T = 5–55 °C and with solid volume fractions of SVF = 0.5–1% is studied and modelled. The viscosity of the nanofluid was examined in different conditions. Lab data were used to model dynamic viscosity of HNF using the Response Surface Methodology (RSM), and first, second, third, fourth and fifth-order models were created. An analysis of the statistical parameters concluded that with a correlation coefficient of 0.9999, the fifth-order model is the best performer. The trend of alterations in viscosity shows that an increase in temperature has great effects on viscosity, and its influence is also more important than that of changes in shear rate (SR) and SVF. Optimal viscosity was also calculated and was equal to 158.1 mPa.sec at SVF = 0.05 %, SR = 11,997 s(−)(1) and T = 14.97 °C. |
format | Online Article Text |
id | pubmed-9720018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97200182022-12-06 Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) Hemmat Esfe, Mohammad Motallebi, Sayyid Majid Toghraie, Davood Heliyon Research Article The science of nanofluids is still fairly new and due to this, the properties of many nanofluids are yet to be explored. Therefore, equations for precise calculations in this field are not available yet. For this reason, as a thermophysical property of an MWCNT (40%)/TiO(2) (60%) hybrid nanofluid (HNF), in this research, the viscosity of HNF with 10W40 oil as the base fluid, in a temperature range of T = 5–55 °C and with solid volume fractions of SVF = 0.5–1% is studied and modelled. The viscosity of the nanofluid was examined in different conditions. Lab data were used to model dynamic viscosity of HNF using the Response Surface Methodology (RSM), and first, second, third, fourth and fifth-order models were created. An analysis of the statistical parameters concluded that with a correlation coefficient of 0.9999, the fifth-order model is the best performer. The trend of alterations in viscosity shows that an increase in temperature has great effects on viscosity, and its influence is also more important than that of changes in shear rate (SR) and SVF. Optimal viscosity was also calculated and was equal to 158.1 mPa.sec at SVF = 0.05 %, SR = 11,997 s(−)(1) and T = 14.97 °C. Elsevier 2022-11-28 /pmc/articles/PMC9720018/ /pubmed/36478835 http://dx.doi.org/10.1016/j.heliyon.2022.e11944 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Hemmat Esfe, Mohammad Motallebi, Sayyid Majid Toghraie, Davood Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) |
title | Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) |
title_full | Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) |
title_fullStr | Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) |
title_full_unstemmed | Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) |
title_short | Optimal viscosity modelling of 10W40 oil-based MWCNT (40%)-TiO(2) (60%) nanofluid using Response Surface Methodology (RSM) |
title_sort | optimal viscosity modelling of 10w40 oil-based mwcnt (40%)-tio(2) (60%) nanofluid using response surface methodology (rsm) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720018/ https://www.ncbi.nlm.nih.gov/pubmed/36478835 http://dx.doi.org/10.1016/j.heliyon.2022.e11944 |
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