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| Natura: | Artículo Open Access |
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Wiley
2024
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| Accesso online: | https://onlinelibrary.wiley.com/doi/10.1002/htj.23213 |
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| _version_ | 1867009247143788544 |
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| author | Santosh L. Pachpute Kiran C. More |
| author_facet | Santosh L. Pachpute Kiran C. More Santosh L. Pachpute Kiran C. More |
| collection | Wiley Open Access |
| contents | Design Optimization of a Plate‐Fin Heat Exchanger With Metaheuristic Hybrid Algorithm Santosh L. Pachpute Kiran C. More Heat Transfer ABSTRACTThis paper introduces a novel approach to enhance the heat transfer efficiency of a plate‐fin heat exchanger. The metaheuristic hybrid approach combines particle swarm optimization (PSO) with the genetic algorithm (GA). Seven critical design parameters are used as variables. The research demonstrates the effectiveness of this hybrid method through a case study based on existing literature. The numerical results show the superior performance of the hybrid genetic algorithm particle swarm optimization over conventional GA and PSO techniques. The hybrid method achieves an optimal configuration with increased accuracy in a shorter computational time, offering significant time and cost savings in the design process. 10.1002/htj.23213 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/htj.23213 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_htj_23213 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Design Optimization of a Plate‐Fin Heat Exchanger With Metaheuristic Hybrid Algorithm Santosh L. Pachpute Kiran C. More Heat Transfer Design Optimization of a Plate‐Fin Heat Exchanger With Metaheuristic Hybrid Algorithm Santosh L. Pachpute Kiran C. More Heat Transfer ABSTRACTThis paper introduces a novel approach to enhance the heat transfer efficiency of a plate‐fin heat exchanger. The metaheuristic hybrid approach combines particle swarm optimization (PSO) with the genetic algorithm (GA). Seven critical design parameters are used as variables. The research demonstrates the effectiveness of this hybrid method through a case study based on existing literature. The numerical results show the superior performance of the hybrid genetic algorithm particle swarm optimization over conventional GA and PSO techniques. The hybrid method achieves an optimal configuration with increased accuracy in a shorter computational time, offering significant time and cost savings in the design process. 10.1002/htj.23213 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Design Optimization of a Plate‐Fin Heat Exchanger With Metaheuristic Hybrid Algorithm |
| topic | Heat Transfer |
| url | https://onlinelibrary.wiley.com/doi/10.1002/htj.23213 |