当前位置: X-MOL 学术Energy Sci. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimization of wavy fin-and-elliptical tube heat exchanger using CFD, multi-objective genetic algorithm and radical basis function
Energy Science & Engineering ( IF 3.8 ) Pub Date : 2021-05-07 , DOI: 10.1002/ese3.897
Chao Yu 1 , Xiangyao Xue 1 , Kui Shi 1 , Renhao Wang 2 , Lei Zhang 1 , Mingzhen Shao 1
Affiliation  

This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi-objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi-objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger.

中文翻译:

使用CFD、多目标遗传算法和根基函数优化波纹翅片椭圆管换热器

本文提出了一种准确有效的换热器优化方法。结合LHS采样、CFD模拟、自由基基函数和多目标优化,对原换热器的结构进行了优化。由于Colburn因子j和摩擦因子f是一对相互矛盾的目标,因此采用多目标优化。优化结果表明,科尔本系数j增加了 5.43%,摩擦系数f降低了 23.31%,表明优化后的结构具有更高的传热效率和更低的阻力性能。利用场协同原理解释了换热器的传热机理和优化效果,为换热器的结构设计优化提供了理论依据。
更新日期:2021-05-07
down
wechat
bug