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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Vydané v:	International journal of heat and mass transfer Ročník 111; s. 65 - 82
Hlavní autori:	Liu, Chunbao, Bu, Weiyang, Xu, Dong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 01.08.2017 Elsevier BV
Predmet:	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
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Abstract	•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.
AbstractList	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. •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.
Author	Xu, Dong Bu, Weiyang Liu, Chunbao
Author_xml	– sequence: 1 givenname: Chunbao surname: Liu fullname: Liu, Chunbao email: liuchunbao@jlu.edu.cn – sequence: 2 givenname: Weiyang surname: Bu fullname: Bu, Weiyang email: bwy1991@126.com – sequence: 3 givenname: Dong surname: Xu fullname: Xu, Dong email: buwy15@mails.jlu.edu.cn
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Snippet	•A theoretical optimization using CFD and multi-objective optimization for the heat exchanger was carried out.•An optimized heat exchanger was obtained and its... A theoretical optimization was carried out to develop a plate-fin heat exchanger for the hydraulic retarder. CFD simulation and multi-objective optimization...
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SubjectTerms	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
Title	Multi-objective shape optimization of a plate-fin heat exchanger using CFD and multi-objective genetic algorithm
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