Development and design optimization of novel polymer heat exchanger using the multi-objective genetic algorithm

被引：29
|
作者：
Han, Ukmin [1 ]
Kang, Heeseung [1 ]
Lim, Hongyoung [1 ,2 ]
Han, Jeongwan [2 ]
Lee, Hoseong [1 ]
机构：
[1] Korea Univ, Dept Mech Engn, 409 Innovat Hall Bldg, Seoul, South Korea
[2] Hanon Syst, Global Adv Technol, 95 Sinil Westro, Daejeon, South Korea
来源：
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER | 2019年 / 144卷
基金：
新加坡国家研究基金会;
关键词：
Polymer heat exchanger; Tube bundle heat exchanger; Multi-objective optimization; Online approximation-assisted optimization; CFD simulation; MASS-TRANSFER; CROSS-FLOW; TUBE; EMPHASIS; WATER;
D O I：
10.1016/j.ijheatmasstransfer.2019.118589
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Recently, there has been great attention to find new materials of a heat exchanger to replace aluminum which has been typically used for a long time as a basic material of heat exchangers. In this context, polymeric materials are considered as candidates due to their characteristics of lightweight and excellent corrosion resistance. Despite substantial benefits of polymeric materials, there is a critical issue as used for the heat exchanger, which is the low heat transfer performance due to their extremely low thermal conductivity. In this study, to overcome this limitation, a novel polymer heat exchanger is proposed with the new heat flow design. The finless teardrop-shaped tube bundle polymer heat exchanger is newly designed and its thermal-hydraulic performances are investigated with experiments and simulations. Then, the geometries of the novel polymer heat exchanger are optimized to maximize the thermal and hydraulic performance by using the online approximation-assisted optimization technique. (C) 2019 Elsevier Ltd. All rights reserved.
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页数：12
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