Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field

In order to maximize the efficacy of multiple component electronic systems or photovoltaic panels in multiple arrangements, thermal management and cooling system design become crucial. In the present work, a novel cooling system with U-shaped cooling channel for a triple conductive panel system is c...

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Main Authors: Fatih Selimefendigil, Hakan F. Oztop
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24015636
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author Fatih Selimefendigil
Hakan F. Oztop
author_facet Fatih Selimefendigil
Hakan F. Oztop
author_sort Fatih Selimefendigil
collection DOAJ
description In order to maximize the efficacy of multiple component electronic systems or photovoltaic panels in multiple arrangements, thermal management and cooling system design become crucial. In the present work, a novel cooling system with U-shaped cooling channel for a triple conductive panel system is considered under ternary nano-enhanced magnetic field effects while Galerkin weighed residual finite element method is used as the solution technique. The numerical investigation is carried out for various Hartmann numbers (Ha between 0 and 60), magnetic field inclination (between 0 and 90), side wall inclination of cooling cavity (between 0 and 30), and cavity expansion ratio (between 0.2 and 0.5). At the highest Ha value, panel Pn2 shows a temperature reduction of 52 °C for η=0, and an increase of roughly 24 °C for η=30. The best magnetic field inclination for the lowest surface temperature varies according to the panels and cooling channels used. The surface temperature variation is 2 °C, 114 °C, and 114 °C for panels Pn1, Pn2, and Pn3, when comparing the best and worst cases. As expansion ratios increase, the average Nu generally drops in cooling channels with both flat (η=0) and inclined (η=30) walls. Based on the first three objectives by using optimization with COBYLA, panels Pn1, Pn2, and Pn3 have minimum temperatures of 30.3 °C, 46.6 °C, and 41.4 °C, respectively. By utilizing different objectives, different panel surface temperatures and performance improvements are achieved.
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series Case Studies in Thermal Engineering
spelling doaj-art-57cebd47e93345bb91436fe212f8b9212025-01-08T04:52:29ZengElsevierCase Studies in Thermal Engineering2214-157X2025-01-0165105532Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic fieldFatih Selimefendigil0Hakan F. Oztop1Department of Mechanical Engineering, Manisa Celal Bayar University, 45140 Manisa, Turkey; Corresponding author.Department of Mechanical Engineering, Technology Faculty, Fırat University, 23119 Elazığ, Turkey; Department of Medical Research, China Med. University Hospital, China Med. University, Taichung, Taiwan; Corresponding author at: Department of Mechanical Engineering, Technology Faculty, Fırat University, 23119 Elazığ, Turkey.In order to maximize the efficacy of multiple component electronic systems or photovoltaic panels in multiple arrangements, thermal management and cooling system design become crucial. In the present work, a novel cooling system with U-shaped cooling channel for a triple conductive panel system is considered under ternary nano-enhanced magnetic field effects while Galerkin weighed residual finite element method is used as the solution technique. The numerical investigation is carried out for various Hartmann numbers (Ha between 0 and 60), magnetic field inclination (between 0 and 90), side wall inclination of cooling cavity (between 0 and 30), and cavity expansion ratio (between 0.2 and 0.5). At the highest Ha value, panel Pn2 shows a temperature reduction of 52 °C for η=0, and an increase of roughly 24 °C for η=30. The best magnetic field inclination for the lowest surface temperature varies according to the panels and cooling channels used. The surface temperature variation is 2 °C, 114 °C, and 114 °C for panels Pn1, Pn2, and Pn3, when comparing the best and worst cases. As expansion ratios increase, the average Nu generally drops in cooling channels with both flat (η=0) and inclined (η=30) walls. Based on the first three objectives by using optimization with COBYLA, panels Pn1, Pn2, and Pn3 have minimum temperatures of 30.3 °C, 46.6 °C, and 41.4 °C, respectively. By utilizing different objectives, different panel surface temperatures and performance improvements are achieved.http://www.sciencedirect.com/science/article/pii/S2214157X24015636Multiple photovoltaic coolingMagnetic fieldFinite element methodU-shaped channelOptimizationTernary nanofluid
spellingShingle Fatih Selimefendigil
Hakan F. Oztop
Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field
Case Studies in Thermal Engineering
Multiple photovoltaic cooling
Magnetic field
Finite element method
U-shaped channel
Optimization
Ternary nanofluid
title Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field
title_full Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field
title_fullStr Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field
title_full_unstemmed Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field
title_short Computational study and optimization of an inclined U-channel cooling system for triple conductive panels under magnetic field
title_sort computational study and optimization of an inclined u channel cooling system for triple conductive panels under magnetic field
topic Multiple photovoltaic cooling
Magnetic field
Finite element method
U-shaped channel
Optimization
Ternary nanofluid
url http://www.sciencedirect.com/science/article/pii/S2214157X24015636
work_keys_str_mv AT fatihselimefendigil computationalstudyandoptimizationofaninclineduchannelcoolingsystemfortripleconductivepanelsundermagneticfield
AT hakanfoztop computationalstudyandoptimizationofaninclineduchannelcoolingsystemfortripleconductivepanelsundermagneticfield