Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow
Vortex generators (VGs) have been extensively studied and utilized in multifunctional heat exchangers/reactors due to their remarkable ability to create coherent flow structures and streamwise vortices. These characteristics significantly enhance the mixing and heat transfer performance in laminar a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | International Journal of Thermofluids |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266620272300188X |
| _version_ | 1797401656764137472 |
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| author | Samer Ali Charbel Habchi Hassan Zaytoun Mahmoud Khaled Talib Dbouk |
| author_facet | Samer Ali Charbel Habchi Hassan Zaytoun Mahmoud Khaled Talib Dbouk |
| author_sort | Samer Ali |
| collection | DOAJ |
| description | Vortex generators (VGs) have been extensively studied and utilized in multifunctional heat exchangers/reactors due to their remarkable ability to create coherent flow structures and streamwise vortices. These characteristics significantly enhance the mixing and heat transfer performance in laminar and turbulent flow regimes. With the advancement of computational power, VG shape optimization has become feasible, leading to the discovery of various optimized shapes in the literature for different Reynolds numbers. In this paper, the response surface polynomial method is employed as a surrogate model to optimize the angle of attack and inclination angle of a delta winglet VG at a Reynolds number of 4,600. The potential applications of these optimized designs are diverse, particularly in scenarios that require cooling or heating. Some examples include photovoltaic (PV) panel cooling, waste heat recovery in hybrid PV/solar water heating systems, energy-efficient HVAC systems, and thermal management in electric vehicles. To achieve this objective, Computational Fluid Dynamics (CFD) simulations are conducted to compute the thermal performance factor of each VG design at various values of attack and inclination angles. By enhancing mixing and heat transfer capabilities, this design can have a substantial impact on various renewable energy applications, contributing to a greener and more sustainable future. The highest thermal enhancement factor of 1.15 is found to be achieved for an inclination angle of −45° and an angle of attack of 35°. This means that optimized VG enhances heat transfer by 15% compared to empty channel flow, while maintaining the same pumping power. |
| first_indexed | 2024-03-09T02:14:16Z |
| format | Article |
| id | doaj.art-f7073b1967e843f5aee850e0d98b3ed8 |
| institution | Directory Open Access Journal |
| issn | 2666-2027 |
| language | English |
| last_indexed | 2024-03-09T02:14:16Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Thermofluids |
| spelling | doaj.art-f7073b1967e843f5aee850e0d98b3ed82023-12-07T05:30:53ZengElsevierInternational Journal of Thermofluids2666-20272023-11-0120100473Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flowSamer Ali0Charbel Habchi1Hassan Zaytoun2Mahmoud Khaled3Talib Dbouk4Univ. Lille, Institut Mines-Télécom, Univ. Artois, Junia, ULR 4515 – LGCgE, Laboratoire de Génie Civil et géo-Environnement, F-59000 Lille, France; Corresponding author.Multiphysics Interaction Lab (MiLab), Cerritos, CA 90703, USAEnergy and Thermo-Fluid Group, Lebanese International University LIU, Bekaa, LebanonEnergy and Thermo-Fluid Group, Lebanese International University LIU, Bekaa, Lebanon; Center for Sustainable Energy and Economic Development (SEED), Gulf University for Science and Technology, KuwaitCORIA, UMR 6614, CNRS, Normandy Univ., UNIROUEN, 76000 Rouen, FranceVortex generators (VGs) have been extensively studied and utilized in multifunctional heat exchangers/reactors due to their remarkable ability to create coherent flow structures and streamwise vortices. These characteristics significantly enhance the mixing and heat transfer performance in laminar and turbulent flow regimes. With the advancement of computational power, VG shape optimization has become feasible, leading to the discovery of various optimized shapes in the literature for different Reynolds numbers. In this paper, the response surface polynomial method is employed as a surrogate model to optimize the angle of attack and inclination angle of a delta winglet VG at a Reynolds number of 4,600. The potential applications of these optimized designs are diverse, particularly in scenarios that require cooling or heating. Some examples include photovoltaic (PV) panel cooling, waste heat recovery in hybrid PV/solar water heating systems, energy-efficient HVAC systems, and thermal management in electric vehicles. To achieve this objective, Computational Fluid Dynamics (CFD) simulations are conducted to compute the thermal performance factor of each VG design at various values of attack and inclination angles. By enhancing mixing and heat transfer capabilities, this design can have a substantial impact on various renewable energy applications, contributing to a greener and more sustainable future. The highest thermal enhancement factor of 1.15 is found to be achieved for an inclination angle of −45° and an angle of attack of 35°. This means that optimized VG enhances heat transfer by 15% compared to empty channel flow, while maintaining the same pumping power.http://www.sciencedirect.com/science/article/pii/S266620272300188XVortex generatorsHeat transferOptimizationResponse surfaceCoolingCFD simulations |
| spellingShingle | Samer Ali Charbel Habchi Hassan Zaytoun Mahmoud Khaled Talib Dbouk Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow International Journal of Thermofluids Vortex generators Heat transfer Optimization Response surface Cooling CFD simulations |
| title | Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow |
| title_full | Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow |
| title_fullStr | Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow |
| title_full_unstemmed | Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow |
| title_short | Surrogate-based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow |
| title_sort | surrogate based optimization of the attack and inclination angles of a delta winglet pair vortex generator in turbulent channel flow |
| topic | Vortex generators Heat transfer Optimization Response surface Cooling CFD simulations |
| url | http://www.sciencedirect.com/science/article/pii/S266620272300188X |
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