Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid

In this paper, the thermal conductivity (knf) of the Al2O3/Ethylene Glycol -Water nanofluid is measured. MATLAB software is used to fit a nonlinear function, and the analysis of variance (ANOVA) is implemented to determine the effect of temperature and volume fraction of nanoparticles (φ) on extract...

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Main Authors: Dheyaa J. Jasim, Ali B.M. Ali, Dunya Jani Qali, Omar S. Mahdy, Soheil Salahshour, S.Ali Eftekhari
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:International Journal of Thermofluids
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666202724002702
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author Dheyaa J. Jasim
Ali B.M. Ali
Dunya Jani Qali
Omar S. Mahdy
Soheil Salahshour
S.Ali Eftekhari
author_facet Dheyaa J. Jasim
Ali B.M. Ali
Dunya Jani Qali
Omar S. Mahdy
Soheil Salahshour
S.Ali Eftekhari
author_sort Dheyaa J. Jasim
collection DOAJ
description In this paper, the thermal conductivity (knf) of the Al2O3/Ethylene Glycol -Water nanofluid is measured. MATLAB software is used to fit a nonlinear function, and the analysis of variance (ANOVA) is implemented to determine the effect of temperature and volume fraction of nanoparticles (φ) on extracting the residuals and knf. In the experimental part, various combinations of temperatures (from 30 to 60 °C) and volume fractions (fromφ = 0.15 up to 1.3%) are examined, and then the obtained data are analyzed using MINITAB software. The results show that the knf is highly dependent on φ and less dependent on temperature. By changing the φ from 0.15 to 1.3%, the thermal conductivity increases around 40%. In contrast, increasing the temperature from 30 to 60 °C will increase the knf by almost 10%. Also, the results show that the thermal conductivity slope is lower at φ < 0.75%, and this rate increases drastically for higher volume fractions. The obtained results, especially the fitting function, are useful for designing and optimizing systems using nanofluids as a working fluid in heat exchangers or energy systems.
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language English
publishDate 2024-11-01
publisher Elsevier
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series International Journal of Thermofluids
spelling doaj-art-9c4d5e8d803c40688c3260748ee44a8f2025-08-20T02:50:13ZengElsevierInternational Journal of Thermofluids2666-20272024-11-012410082910.1016/j.ijft.2024.100829Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluidDheyaa J. Jasim0Ali B.M. Ali1Dunya Jani Qali2Omar S. Mahdy3Soheil Salahshour4S.Ali Eftekhari5Department of Petroleum Engineering, Al-Amarah University College, Maysan, IraqAir Conditioning Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala, IraqDepartment of Chemical Engineering, University of Technology- Iraq, Baghdad, IraqDepartment of Chemical Engineering, University of Technology- Iraq, Baghdad, IraqFaculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey; Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey; Department of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonDepartment of Mechanical Engineering, Khomeinishahr branch, Islamic Azad University, Khomeinishahr, Iran; Corresponding author.In this paper, the thermal conductivity (knf) of the Al2O3/Ethylene Glycol -Water nanofluid is measured. MATLAB software is used to fit a nonlinear function, and the analysis of variance (ANOVA) is implemented to determine the effect of temperature and volume fraction of nanoparticles (φ) on extracting the residuals and knf. In the experimental part, various combinations of temperatures (from 30 to 60 °C) and volume fractions (fromφ = 0.15 up to 1.3%) are examined, and then the obtained data are analyzed using MINITAB software. The results show that the knf is highly dependent on φ and less dependent on temperature. By changing the φ from 0.15 to 1.3%, the thermal conductivity increases around 40%. In contrast, increasing the temperature from 30 to 60 °C will increase the knf by almost 10%. Also, the results show that the thermal conductivity slope is lower at φ < 0.75%, and this rate increases drastically for higher volume fractions. The obtained results, especially the fitting function, are useful for designing and optimizing systems using nanofluids as a working fluid in heat exchangers or energy systems.http://www.sciencedirect.com/science/article/pii/S2666202724002702Thermal conductivityNanofluidEthylene glycolMINITAB software
spellingShingle Dheyaa J. Jasim
Ali B.M. Ali
Dunya Jani Qali
Omar S. Mahdy
Soheil Salahshour
S.Ali Eftekhari
Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid
International Journal of Thermofluids
Thermal conductivity
Nanofluid
Ethylene glycol
MINITAB software
title Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid
title_full Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid
title_fullStr Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid
title_full_unstemmed Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid
title_short Using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of Al2O3/ethylene glycol-water hybrid nanofluid
title_sort using design of experiment via the linear model of analysis of variance to predict the thermal conductivity of al2o3 ethylene glycol water hybrid nanofluid
topic Thermal conductivity
Nanofluid
Ethylene glycol
MINITAB software
url http://www.sciencedirect.com/science/article/pii/S2666202724002702
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