Unsteady heat transfer and entropy analysis in a cavity with different fin shapes: A numerical and multi-expression programming approach
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| Title: | Unsteady heat transfer and entropy analysis in a cavity with different fin shapes: A numerical and multi-expression programming approach |
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| Authors: | Aneela Bibi, Naeem Ullah, Lihua Wang |
| Source: | Physics of Fluids. 37 |
| Publisher Information: | AIP Publishing, 2025. |
| Publication Year: | 2025 |
| Description: | In thermal management systems, there is a growing need for efficient heat transfer solutions, particularly in systems involving mixed convection, porous media, and nanofluids. Conventional methods often struggle to balance high thermal performance and minimal entropy generation in complex geometries. Developing different fin designs and understanding the interaction between the flow and thermal controlling parameters are crucial for improving system performance. Additionally, employing sophisticated predictive techniques like multi-expression programing is increasingly important for enhancing accuracy and reducing computational cost. Addressing these challenges is essential for advanced next-generation heat transfer technologies. This study examines mixed convection heat transfer in a ventilated rectangular cavity containing a porous medium and solid copper fins of three distinct shapes. The cavity has a heated lower wall, a cooled upper wall, and adiabatic side walls with fins symmetrically placed on the upper and lower walls. A nanofluid with copper oxide (CuO) nanoparticles suspended in ethylene glycol serves as the coolant, while the porous medium provides additional flow resistance. The mathematical translation of the physical model includes the momentum and separate energy equations for the fluid and solid phases. The solution of these equations is carried out via the finite element method. A parametric analysis is conducted by varying Reynolds number, Darcy number, Grashof number, and nanoparticle volume fraction to analyze their effects on flow dynamics, heat transfer, and entropy generation. The results indicate that increasing Reynolds and Darcy numbers enhances heat transfer, while fin geometry significantly influences thermal performance. Among the considered designs, wavy fins yield the highest heat transfer efficiency as compared to other shaped fins. A comparative assessment using multi-expression programing provides predictive insights, demonstrating strong agreement with benchmark datasets. These findings contribute to the optimization of heat transfer systems, offering a framework for efficient thermal management in engineering applications. |
| Document Type: | Article |
| Language: | English |
| ISSN: | 1089-7666 1070-6631 |
| DOI: | 10.1063/5.0273780 |
| Accession Number: | edsair.doi...........6b9b695a8b73060f9b0b9be25520f54c |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | In thermal management systems, there is a growing need for efficient heat transfer solutions, particularly in systems involving mixed convection, porous media, and nanofluids. Conventional methods often struggle to balance high thermal performance and minimal entropy generation in complex geometries. Developing different fin designs and understanding the interaction between the flow and thermal controlling parameters are crucial for improving system performance. Additionally, employing sophisticated predictive techniques like multi-expression programing is increasingly important for enhancing accuracy and reducing computational cost. Addressing these challenges is essential for advanced next-generation heat transfer technologies. This study examines mixed convection heat transfer in a ventilated rectangular cavity containing a porous medium and solid copper fins of three distinct shapes. The cavity has a heated lower wall, a cooled upper wall, and adiabatic side walls with fins symmetrically placed on the upper and lower walls. A nanofluid with copper oxide (CuO) nanoparticles suspended in ethylene glycol serves as the coolant, while the porous medium provides additional flow resistance. The mathematical translation of the physical model includes the momentum and separate energy equations for the fluid and solid phases. The solution of these equations is carried out via the finite element method. A parametric analysis is conducted by varying Reynolds number, Darcy number, Grashof number, and nanoparticle volume fraction to analyze their effects on flow dynamics, heat transfer, and entropy generation. The results indicate that increasing Reynolds and Darcy numbers enhances heat transfer, while fin geometry significantly influences thermal performance. Among the considered designs, wavy fins yield the highest heat transfer efficiency as compared to other shaped fins. A comparative assessment using multi-expression programing provides predictive insights, demonstrating strong agreement with benchmark datasets. These findings contribute to the optimization of heat transfer systems, offering a framework for efficient thermal management in engineering applications. |
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| ISSN: | 10897666 10706631 |
| DOI: | 10.1063/5.0273780 |