Multi-objective shape optimization of a plate-fin heat exchanger using CFD and multi-objective genetic algorithm

•A theoretical optimization using CFD and multi-objective optimization for the heat exchanger was carried out.•An optimized heat exchanger was obtained and its performances were significantly improved.•Effect of single parameter on the performances was analyzed.•Field synergy principles and numbers...

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Veröffentlicht in:International journal of heat and mass transfer Jg. 111; S. 65 - 82
Hauptverfasser: Liu, Chunbao, Bu, Weiyang, Xu, Dong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.08.2017
Elsevier BV
Schlagworte:
CFD
Classification
Computational fluid dynamics
Computer simulation
Convective heat transfer
Design optimization
Field synergy
Flow resistance
Friction
Friction factor
Genetic algorithms
Heat transfer
Internal flow
Multi-objective optimization
Multiple objective analysis
Offset plate-fin heat exchanger
Optimization
Performance enhancement
Plate-fin heat exchangers
Shape optimization
Simulation
Sorting algorithms
Offset plate-fin heat exchanger
CFD
Multi-objective optimization
Field synergy
ISSN:0017-9310, 1879-2189
Online-Zugang:Volltext
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Zusammenfassung:•A theoretical optimization using CFD and multi-objective optimization for the heat exchanger was carried out.•An optimized heat exchanger was obtained and its performances were significantly improved.•Effect of single parameter on the performances was analyzed.•Field synergy principles and numbers were employed to evaluate the optimized result. A theoretical optimization was carried out to develop a plate-fin heat exchanger for the hydraulic retarder. CFD simulation and multi-objective optimization were combined to improve the performances of the original heat exchanger, which could not be applied to the practical engineering application. The optimizations of the Colburn factor j and the friction factor f were treated as the multi-objective optimization problem due to the presence of two conflicting objectives. The second generation Non-Dominated Sorting Genetic Algorithm (NSGA-II) was employed to optimize the shape of the heat exchanger. The optimization results indicated that the Colburn factor j increased by 12.83% and the friction factor f decreased by 26.91%, which showed that the convective heat transfer was enhanced and the flow resistance was also significantly reduced. Then, internal flow fields involving temperature, pressure and velocity were qualitatively compared to further emphasize the optimization effect. Finally, the field synergy numbers were compared and analyzed, which could help to prove the rationality of the optimized result and guide the following design or optimization tasks.
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ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2017.03.066