Optimizing heat transfer with nano additives: A mathematical approach

This study is carried out to investigate heat transfer of hybrid nanofluid between two concentric cylinders using the fractional Maxwell model. The fractional model is solved numerically, fractional derivatives are integrated using the L1 algorithm of Caputo derivative and the integer order derivati...

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Main Authors: Hanif, Hanifa, Shafie, Sharidan, A. Alanazi, Abeer, Alzahrani, S. S., Alarabi, T. H.
Format: Article
Language:English
Published: Ain Shams University 2024
Subjects:
Online Access:http://eprints.utm.my/109033/1/SharidanShafie2024_OptimizingHeatTransferWithNanoAdditives.pdf
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author Hanif, Hanifa
Shafie, Sharidan
A. Alanazi, Abeer
Alzahrani, S. S.
Alarabi, T. H.
author_facet Hanif, Hanifa
Shafie, Sharidan
A. Alanazi, Abeer
Alzahrani, S. S.
Alarabi, T. H.
author_sort Hanif, Hanifa
collection ePrints
description This study is carried out to investigate heat transfer of hybrid nanofluid between two concentric cylinders using the fractional Maxwell model. The fractional model is solved numerically, fractional derivatives are integrated using the L1 algorithm of Caputo derivative and the integer order derivatives are discretized using the Crank–Nicolson numerical method. The findings show that skin friction decreases when the relaxation time parameter increases. The thermal performance of the working fluid increased up to 5% when hybrid nanoparticles were suspended to it.
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spelling utm.eprints-1090332025-01-28T04:09:17Z http://eprints.utm.my/109033/ Optimizing heat transfer with nano additives: A mathematical approach Hanif, Hanifa Shafie, Sharidan A. Alanazi, Abeer Alzahrani, S. S. Alarabi, T. H. QA Mathematics This study is carried out to investigate heat transfer of hybrid nanofluid between two concentric cylinders using the fractional Maxwell model. The fractional model is solved numerically, fractional derivatives are integrated using the L1 algorithm of Caputo derivative and the integer order derivatives are discretized using the Crank–Nicolson numerical method. The findings show that skin friction decreases when the relaxation time parameter increases. The thermal performance of the working fluid increased up to 5% when hybrid nanoparticles were suspended to it. Ain Shams University 2024 Article PeerReviewed application/pdf en http://eprints.utm.my/109033/1/SharidanShafie2024_OptimizingHeatTransferWithNanoAdditives.pdf Hanif, Hanifa and Shafie, Sharidan and A. Alanazi, Abeer and Alzahrani, S. S. and Alarabi, T. H. (2024) Optimizing heat transfer with nano additives: A mathematical approach. Ain Shams Engineering JournalVolume , Issue, 15 (8). pp. 1-8. ISSN 2090-4479 http://dx.doi.org/10.1016/j.asej.2024.102866 DOI : 10.1016/j.asej.2024.102866
spellingShingle QA Mathematics
Hanif, Hanifa
Shafie, Sharidan
A. Alanazi, Abeer
Alzahrani, S. S.
Alarabi, T. H.
Optimizing heat transfer with nano additives: A mathematical approach
title Optimizing heat transfer with nano additives: A mathematical approach
title_full Optimizing heat transfer with nano additives: A mathematical approach
title_fullStr Optimizing heat transfer with nano additives: A mathematical approach
title_full_unstemmed Optimizing heat transfer with nano additives: A mathematical approach
title_short Optimizing heat transfer with nano additives: A mathematical approach
title_sort optimizing heat transfer with nano additives a mathematical approach
topic QA Mathematics
url http://eprints.utm.my/109033/1/SharidanShafie2024_OptimizingHeatTransferWithNanoAdditives.pdf
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AT aalanaziabeer optimizingheattransferwithnanoadditivesamathematicalapproach
AT alzahraniss optimizingheattransferwithnanoadditivesamathematicalapproach
AT alarabith optimizingheattransferwithnanoadditivesamathematicalapproach