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

机译:基于多目标遗传算法的新型聚合物换热器的开发与设计优化

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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.
机译:近来,人们非常关注寻找热交换器的新材料来代替铝,铝通常已长期用作热交换器的基础材料。在这种情况下,由于聚合材料的重量轻和优异的耐腐蚀性,它们被认为是候选材料。尽管聚合物材料具有很多好处,但是用于热交换器的关键问题是由于其极低的热导率而导致的低传热性能。在这项研究中,为了克服这一限制,提出了一种具有新的热流设计的新型聚合物热交换器。新设计了无翅滴状管束状聚合物换热器,并通过实验和模拟研究了其热工性能。然后,通过使用在线逼近辅助优化技术来优化新型聚合物热交换器的几何形状,以最大化热力和水力性能。 (C)2019 Elsevier Ltd.保留所有权利。

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