Simulation of cold storage process via Galerkin approach implementing nanoparticles
The aim of this research is to simulate the unsteady cold storage process in a tank with wavy walls and fins, designed to improve the solidification of the working fluid. The loading of alumina nanoparticles within water significantly accelerates the freezing process, improving the system's ove...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25000188 |
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| author | Wajdi Rajhi Ali Basem Ziyad Jamil Talabany Hussein A.Z. AL-bonsrulah Moaz Al-lehaibi Ibrahim Ali Alsayer Awatif M.A. Elsiddieg Lioua Kolsi |
| author_facet | Wajdi Rajhi Ali Basem Ziyad Jamil Talabany Hussein A.Z. AL-bonsrulah Moaz Al-lehaibi Ibrahim Ali Alsayer Awatif M.A. Elsiddieg Lioua Kolsi |
| author_sort | Wajdi Rajhi |
| collection | DOAJ |
| description | The aim of this research is to simulate the unsteady cold storage process in a tank with wavy walls and fins, designed to improve the solidification of the working fluid. The loading of alumina nanoparticles within water significantly accelerates the freezing process, improving the system's overall efficiency. This paper focuses on analyzing the effects of two critical factors: the fraction (ϕ) and the diameter (dp) of the additives. The simulations, performed using the Galerkin method, include a dynamically adapted mesh to accurately track the solidification front. Results show that initially increasing the nanoparticle diameter (dp) enhances the freezing rate by around 20.77 %. However, beyond a certain size, further augments in dp lead to a reduction in freezing rate by about 50.33 %. Thus, the optimal nanoparticle size for this system is identified as 40 nm. Moreover, increasing ϕ expedite rates the freezing process, reducing the total freezing time by approximately 41.13 %. |
| format | Article |
| id | doaj-art-6f17227bea19414cba5cc203daa1e32d |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-6f17227bea19414cba5cc203daa1e32d2025-02-02T05:27:22ZengElsevierCase Studies in Thermal Engineering2214-157X2025-02-0166105758Simulation of cold storage process via Galerkin approach implementing nanoparticlesWajdi Rajhi0Ali Basem1Ziyad Jamil Talabany2Hussein A.Z. AL-bonsrulah3Moaz Al-lehaibi4Ibrahim Ali Alsayer5Awatif M.A. Elsiddieg6Lioua Kolsi7Department of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, 81451, Saudi ArabiaAir Conditioning Engineering Department, Faculty of Engineering, Warith Al-Anbiyaa University, Karbala, 56001, IraqPetroleum and Mining Engineering Department, Tishk International University, Erbil, IraqDepartment of Medical Instrumentation Engineering Techniques, Al Safwa University College, Karbala, 56001, IraqMechanical Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah, 24382, Saudi ArabiaDepartment of Chemical and Materials Engineering, College of Engineering, Northern Border University, Arar, Saudi ArabiaMathematical Department in College of Science an Humanities in Hotat Bani Tamim. Prince Sattam Bin Abdul- Aziz University, Alkharj, 11942, Saudi Arabia; Corresponding author.Department of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, 81451, Saudi ArabiaThe aim of this research is to simulate the unsteady cold storage process in a tank with wavy walls and fins, designed to improve the solidification of the working fluid. The loading of alumina nanoparticles within water significantly accelerates the freezing process, improving the system's overall efficiency. This paper focuses on analyzing the effects of two critical factors: the fraction (ϕ) and the diameter (dp) of the additives. The simulations, performed using the Galerkin method, include a dynamically adapted mesh to accurately track the solidification front. Results show that initially increasing the nanoparticle diameter (dp) enhances the freezing rate by around 20.77 %. However, beyond a certain size, further augments in dp lead to a reduction in freezing rate by about 50.33 %. Thus, the optimal nanoparticle size for this system is identified as 40 nm. Moreover, increasing ϕ expedite rates the freezing process, reducing the total freezing time by approximately 41.13 %.http://www.sciencedirect.com/science/article/pii/S2214157X25000188Optimized diameterCold storageFinsConduction mechanismNanoparticles |
| spellingShingle | Wajdi Rajhi Ali Basem Ziyad Jamil Talabany Hussein A.Z. AL-bonsrulah Moaz Al-lehaibi Ibrahim Ali Alsayer Awatif M.A. Elsiddieg Lioua Kolsi Simulation of cold storage process via Galerkin approach implementing nanoparticles Case Studies in Thermal Engineering Optimized diameter Cold storage Fins Conduction mechanism Nanoparticles |
| title | Simulation of cold storage process via Galerkin approach implementing nanoparticles |
| title_full | Simulation of cold storage process via Galerkin approach implementing nanoparticles |
| title_fullStr | Simulation of cold storage process via Galerkin approach implementing nanoparticles |
| title_full_unstemmed | Simulation of cold storage process via Galerkin approach implementing nanoparticles |
| title_short | Simulation of cold storage process via Galerkin approach implementing nanoparticles |
| title_sort | simulation of cold storage process via galerkin approach implementing nanoparticles |
| topic | Optimized diameter Cold storage Fins Conduction mechanism Nanoparticles |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25000188 |
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