Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models

The fluid dynamic and thermal performance of three nanofluids containing aluminum oxide, copper oxide, and silicon dioxide nanoparticles dispersed in 60:40 ethylene glycol and water base fluid as a coolant in a microchannel heatsink are compared here by two methods. The first is a simple analytical...

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Main Authors: Dustin R. Ray, Roy Strandberg, Debendra K. Das
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Processes
Subjects:
CFD
Online Access:https://www.mdpi.com/2227-9717/8/7/754
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spelling doaj-e94bf0ccadac4d8dada7a53281d247d22020-11-25T03:23:43ZengMDPI AGProcesses2227-97172020-06-01875475410.3390/pr8070754Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational ModelsDustin R. Ray0Roy Strandberg1Debendra K. Das2Department of Mechanical Engineering, University of Alaska, Fairbanks P.O. Box 755905, Fairbanks, AK 99775-5905, USADepartment of Mechanical Engineering, University of Alaska, Fairbanks P.O. Box 755905, Fairbanks, AK 99775-5905, USADepartment of Mechanical Engineering, University of Alaska, Fairbanks P.O. Box 755905, Fairbanks, AK 99775-5905, USAThe fluid dynamic and thermal performance of three nanofluids containing aluminum oxide, copper oxide, and silicon dioxide nanoparticles dispersed in 60:40 ethylene glycol and water base fluid as a coolant in a microchannel heatsink are compared here by two methods. The first is a simple analytical analysis, which is acceptable for very low nanoparticle volumetric concentration (1–2%). The second method is a rigorous three-dimensional finite volume conjugate heat transfer and fluid dynamic model based upon a constant heat flux boundary condition, which is applicable for cooling electronic chips. The fluids’ thermophysical properties employed in the modeling are based on empirically derived, temperature dependent correlations from the literature. The analytical and computational results for pressure drop and Nusselt number were in good agreement with the nanofluids showing a maximum difference of 4.1% and 2.9%, respectively. Computations cover the practical range of Reynolds number from 20 to 200 in the laminar regime. Based on equal Reynolds number, all of the nanofluids examined generate a higher convective heat transfer coefficient in the microchannel than the base fluid, while copper oxide provided the most significant increase by 21%. Based on the analyses performed for this study, nanofluids can enhance the cooling performance of the heatsink by requiring a lower pumping power to maintain the same maximum wall temperature. Aluminum oxide and copper oxide nanofluids of 2% concentration reduce the pumping power by 23% and 22%, respectively, while maintaining the same maximum wall temperature as the base fluid.https://www.mdpi.com/2227-9717/8/7/754entropyheat transfermicrochannelnanofluidsfluentCFD
collection DOAJ
language English
format Article
sources DOAJ
author Dustin R. Ray
Roy Strandberg
Debendra K. Das
spellingShingle Dustin R. Ray
Roy Strandberg
Debendra K. Das
Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models
Processes
entropy
heat transfer
microchannel
nanofluids
fluent
CFD
author_facet Dustin R. Ray
Roy Strandberg
Debendra K. Das
author_sort Dustin R. Ray
title Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models
title_short Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models
title_full Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models
title_fullStr Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models
title_full_unstemmed Thermal and Fluid Dynamic Performance Comparison of Three Nanofluids in Microchannels Using Analytical and Computational Models
title_sort thermal and fluid dynamic performance comparison of three nanofluids in microchannels using analytical and computational models
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2020-06-01
description The fluid dynamic and thermal performance of three nanofluids containing aluminum oxide, copper oxide, and silicon dioxide nanoparticles dispersed in 60:40 ethylene glycol and water base fluid as a coolant in a microchannel heatsink are compared here by two methods. The first is a simple analytical analysis, which is acceptable for very low nanoparticle volumetric concentration (1–2%). The second method is a rigorous three-dimensional finite volume conjugate heat transfer and fluid dynamic model based upon a constant heat flux boundary condition, which is applicable for cooling electronic chips. The fluids’ thermophysical properties employed in the modeling are based on empirically derived, temperature dependent correlations from the literature. The analytical and computational results for pressure drop and Nusselt number were in good agreement with the nanofluids showing a maximum difference of 4.1% and 2.9%, respectively. Computations cover the practical range of Reynolds number from 20 to 200 in the laminar regime. Based on equal Reynolds number, all of the nanofluids examined generate a higher convective heat transfer coefficient in the microchannel than the base fluid, while copper oxide provided the most significant increase by 21%. Based on the analyses performed for this study, nanofluids can enhance the cooling performance of the heatsink by requiring a lower pumping power to maintain the same maximum wall temperature. Aluminum oxide and copper oxide nanofluids of 2% concentration reduce the pumping power by 23% and 22%, respectively, while maintaining the same maximum wall temperature as the base fluid.
topic entropy
heat transfer
microchannel
nanofluids
fluent
CFD
url https://www.mdpi.com/2227-9717/8/7/754
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AT roystrandberg thermalandfluiddynamicperformancecomparisonofthreenanofluidsinmicrochannelsusinganalyticalandcomputationalmodels
AT debendrakdas thermalandfluiddynamicperformancecomparisonofthreenanofluidsinmicrochannelsusinganalyticalandcomputationalmodels
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