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Optimization design of slotted fin by numerical simulation coupled with genetic algorithm

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  • Wang, Yu
  • He, Ya-Ling
  • Mei, Dan-Hua
  • Tao, Wen-Quan

Abstract

Using a novel method that couples genetic algorithm (GA) with numerical simulation, the geometric configuration for a two-dimensional slotted fin has been optimized in this paper. The objective of optimization is to maximize the heat transfer capacity of slotted fin, and minimize the pressure drop penalty of fluid flow through the fin. The key of this method is the fitness function of GA, which were (j/j0)/(f/f0) and j/j0. In this complex multiparameter problem, the numerical simulation is a crucial step to calculate the Colburn factor j and friction factor f. The results showed that for two-dimensional slotted fin considered, the j factor is increased by 229.22%, the f factor is increased by 196.30%, and the j/f ratio was increased by 11.11% at Re=500 based on optimal integrated performance (j/j0)/(f/f0); the j factor is increased by 479.08% at Re=500 based on optimal heat exchange capacity j/j0. The feasibility of optimal designs was verified by the field synergy principle.

Suggested Citation

  • Wang, Yu & He, Ya-Ling & Mei, Dan-Hua & Tao, Wen-Quan, 2011. "Optimization design of slotted fin by numerical simulation coupled with genetic algorithm," Applied Energy, Elsevier, vol. 88(12), pages 4441-4450.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4441-4450
    DOI: 10.1016/j.apenergy.2011.05.030
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    References listed on IDEAS

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    1. Sanaye, Sepehr & Hajabdollahi, Hassan, 2010. "Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm," Applied Energy, Elsevier, vol. 87(6), pages 1893-1902, June.
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    1. Maakala, Viljami & Järvinen, Mika & Vuorinen, Ville, 2018. "Optimizing the heat transfer performance of the recovery boiler superheaters using simulated annealing, surrogate modeling, and computational fluid dynamics," Energy, Elsevier, vol. 160(C), pages 361-377.
    2. Pourfattah, Farzad & Sabzpooshani, Majid, 2021. "On the thermal management of a power electronics system: Optimization of the cooling system using genetic algorithm and response surface method," Energy, Elsevier, vol. 232(C).
    3. Wang, Limin & Deng, Lei & Ji, Chenglong & Liang, Erkai & Wang, Changxia & Che, Defu, 2016. "Multi-objective optimization of geometrical parameters of corrugated-undulated heat transfer surfaces," Applied Energy, Elsevier, vol. 174(C), pages 25-36.
    4. Zhao, Xiaohuan & E, Jiaqiang & Zhang, Zhiqing & Chen, Jingwei & Liao, Gaoliang & Zhang, Feng & Leng, Erwei & Han, Dandan & Hu, Wenyu, 2020. "A review on heat enhancement in thermal energy conversion and management using Field Synergy Principle," Applied Energy, Elsevier, vol. 257(C).
    5. Liu, X.P. & Niu, J.L., 2014. "An optimal design analysis method for heat recovery devices in building applications," Applied Energy, Elsevier, vol. 129(C), pages 364-372.

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