Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology

Nanofluids can afford excellent thermal performance and have a major role in energy conservation aspect. In this paper, a sensitivity analysis has been performed by using response surface methodology to calculate the effects of nanoparticles on the entropy generation. For this purpose, the laminar f...

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Main Authors: Bijan Darbari, Saman Rashidi, Javad Abolfazli Esfahani
Format: Article
Language:English
Published: MDPI AG 2016-02-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/2/52
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spelling doaj-4cd7a62fe0c44576a4d3ddf4d77ac8272020-11-24T22:41:56ZengMDPI AGEntropy1099-43002016-02-011825210.3390/e18020052e18020052Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface MethodologyBijan Darbari0Saman Rashidi1Javad Abolfazli Esfahani2Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, IranDepartment of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, IranDepartment of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, IranNanofluids can afford excellent thermal performance and have a major role in energy conservation aspect. In this paper, a sensitivity analysis has been performed by using response surface methodology to calculate the effects of nanoparticles on the entropy generation. For this purpose, the laminar forced convection of Al2O3-water nanofluid flow inside a channel is considered. The total entropy generation rates consist of the entropy generation rates due to heat transfer and friction loss are calculated by using velocity and temperature gradients. The continuity, momentum and energy equations have been solved numerically using a finite volume method. The sensitivity of the entropy generation rate to different parameters such as the solid volume fraction, the particle diameter, and the Reynolds number is studied in detail. Series of simulations were performed for a range of solid volume fraction 0 ≤ ϕ ≤ 0.05 , particle diameter 30  nm ≤ d p ≤ 90 ​ nm , and the Reynolds number 200 ≤ Re ≤ 800. The results showed that the total entropy generation is more sensitive to the Reynolds number rather than the nanoparticles diameter or solid volume fraction. Also, the magnitude of total entropy generation, which increases with increase in the Reynolds number, is much higher for the pure fluid rather than the nanofluid.http://www.mdpi.com/1099-4300/18/2/52sensitivity analysisresponse surface methodologyentropy generationAl2O3-water nanofluidfinite volume method
collection DOAJ
language English
format Article
sources DOAJ
author Bijan Darbari
Saman Rashidi
Javad Abolfazli Esfahani
spellingShingle Bijan Darbari
Saman Rashidi
Javad Abolfazli Esfahani
Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology
Entropy
sensitivity analysis
response surface methodology
entropy generation
Al2O3-water nanofluid
finite volume method
author_facet Bijan Darbari
Saman Rashidi
Javad Abolfazli Esfahani
author_sort Bijan Darbari
title Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology
title_short Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology
title_full Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology
title_fullStr Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology
title_full_unstemmed Sensitivity Analysis of Entropy Generation in Nanofluid Flow inside a Channel by Response Surface Methodology
title_sort sensitivity analysis of entropy generation in nanofluid flow inside a channel by response surface methodology
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2016-02-01
description Nanofluids can afford excellent thermal performance and have a major role in energy conservation aspect. In this paper, a sensitivity analysis has been performed by using response surface methodology to calculate the effects of nanoparticles on the entropy generation. For this purpose, the laminar forced convection of Al2O3-water nanofluid flow inside a channel is considered. The total entropy generation rates consist of the entropy generation rates due to heat transfer and friction loss are calculated by using velocity and temperature gradients. The continuity, momentum and energy equations have been solved numerically using a finite volume method. The sensitivity of the entropy generation rate to different parameters such as the solid volume fraction, the particle diameter, and the Reynolds number is studied in detail. Series of simulations were performed for a range of solid volume fraction 0 ≤ ϕ ≤ 0.05 , particle diameter 30  nm ≤ d p ≤ 90 ​ nm , and the Reynolds number 200 ≤ Re ≤ 800. The results showed that the total entropy generation is more sensitive to the Reynolds number rather than the nanoparticles diameter or solid volume fraction. Also, the magnitude of total entropy generation, which increases with increase in the Reynolds number, is much higher for the pure fluid rather than the nanofluid.
topic sensitivity analysis
response surface methodology
entropy generation
Al2O3-water nanofluid
finite volume method
url http://www.mdpi.com/1099-4300/18/2/52
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AT javadabolfazliesfahani sensitivityanalysisofentropygenerationinnanofluidflowinsideachannelbyresponsesurfacemethodology
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