Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods
In the present study, the thermal conductivity of the ZnO-EG nanofluid has been investigated experimentally. For this purpose, zinc oxide nanoparticles with nominal diameters of 18 nm have been dispersed in ethylene glychol at different volume fractions (0.000625, 0.00125, 0.005, 0.01, 0.015, 0.02,...
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Format: | Article |
Language: | English |
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Elsevier
2015
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Online Access: | http://eprints.um.edu.my/15692/1/Modeling_of_thermal_conductivity_of_ZnO-EG_using_experimental_data.pdf |
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author | Esfe, Mohammad Hemmat Saedodin, Seyfolah Naderi, Ali Alirezaie, Ali Karimipour, Arash Wongwises, Somchai Goodarzi, Marjan Dahari, Mahidzal |
author_facet | Esfe, Mohammad Hemmat Saedodin, Seyfolah Naderi, Ali Alirezaie, Ali Karimipour, Arash Wongwises, Somchai Goodarzi, Marjan Dahari, Mahidzal |
author_sort | Esfe, Mohammad Hemmat |
collection | UM |
description | In the present study, the thermal conductivity of the ZnO-EG nanofluid has been investigated experimentally. For this purpose, zinc oxide nanoparticles with nominal diameters of 18 nm have been dispersed in ethylene glychol at different volume fractions (0.000625, 0.00125, 0.005, 0.01, 0.015, 0.02, 0.03, 0.04, and 0.05) and temperatures (24-50 degrees C). The two-step method is used to disperse nanoparticles in the base fluid. Based on the experimental data, an experimental model has been proposed as a function of solid concentration and temperature. Then, the feedforward multilayer perceptron neural network has been employed for modeling thermal conductivity of ZnO-EG nanofluid. Out of 40 measured data obtained from experiments, 28 data were selected for network training, while the remaining 12 data were used for network testing and validating. The results indicate that both model and ANN outputs are in good agreement with the experimental data. (C) 2015 Elsevier Ltd. All rights reserved. |
first_indexed | 2024-03-06T05:39:23Z |
format | Article |
id | um.eprints-15692 |
institution | Universiti Malaya |
language | English |
last_indexed | 2024-03-06T05:39:23Z |
publishDate | 2015 |
publisher | Elsevier |
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spelling | um.eprints-156922018-10-18T04:23:04Z http://eprints.um.edu.my/15692/ Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods Esfe, Mohammad Hemmat Saedodin, Seyfolah Naderi, Ali Alirezaie, Ali Karimipour, Arash Wongwises, Somchai Goodarzi, Marjan Dahari, Mahidzal T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering In the present study, the thermal conductivity of the ZnO-EG nanofluid has been investigated experimentally. For this purpose, zinc oxide nanoparticles with nominal diameters of 18 nm have been dispersed in ethylene glychol at different volume fractions (0.000625, 0.00125, 0.005, 0.01, 0.015, 0.02, 0.03, 0.04, and 0.05) and temperatures (24-50 degrees C). The two-step method is used to disperse nanoparticles in the base fluid. Based on the experimental data, an experimental model has been proposed as a function of solid concentration and temperature. Then, the feedforward multilayer perceptron neural network has been employed for modeling thermal conductivity of ZnO-EG nanofluid. Out of 40 measured data obtained from experiments, 28 data were selected for network training, while the remaining 12 data were used for network testing and validating. The results indicate that both model and ANN outputs are in good agreement with the experimental data. (C) 2015 Elsevier Ltd. All rights reserved. Elsevier 2015-04 Article PeerReviewed application/pdf en http://eprints.um.edu.my/15692/1/Modeling_of_thermal_conductivity_of_ZnO-EG_using_experimental_data.pdf Esfe, Mohammad Hemmat and Saedodin, Seyfolah and Naderi, Ali and Alirezaie, Ali and Karimipour, Arash and Wongwises, Somchai and Goodarzi, Marjan and Dahari, Mahidzal (2015) Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods. International Communications in Heat and Mass Transfer, 63. pp. 35-40. ISSN 0735-1933, DOI https://doi.org/10.1016/j.icheatmasstransfer.2015.01.001 <https://doi.org/10.1016/j.icheatmasstransfer.2015.01.001>. https://doi.org/10.1016/j.icheatmasstransfer.2015.01.001 doi:10.1016/j.icheatmasstransfer.2015.01.001 |
spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Esfe, Mohammad Hemmat Saedodin, Seyfolah Naderi, Ali Alirezaie, Ali Karimipour, Arash Wongwises, Somchai Goodarzi, Marjan Dahari, Mahidzal Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods |
title | Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods |
title_full | Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods |
title_fullStr | Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods |
title_full_unstemmed | Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods |
title_short | Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods |
title_sort | modeling of thermal conductivity of zno eg using experimental data and ann methods |
topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering |
url | http://eprints.um.edu.my/15692/1/Modeling_of_thermal_conductivity_of_ZnO-EG_using_experimental_data.pdf |
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