Optimization design with an advanced genetic algorithm for a compact air-air heat exchanger applied in aero engine

Optimization design with an advanced genetic algorithm for a compact air-air heat exchanger applied in aero engine
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DOI:
10.1016/j.ijheatmasstransfer.2020.119952
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发表时间:
2020-09-01
影响因子:
5.2
通讯作者:
Wen, Jie
Wen, Jie
中科院分区:
工程技术2区
文献类型:
--
作者:
Xu, Guoqiang;Zhuang, Laihe;Wen, Jie

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针对航空发动机轴承密封冷却系统的核心部件--空气-空气蛇形管换热器,提出了一种优化设计方法。提出了一种新的优化工具,结合对数平均温差法(LMTD)和基于Gray编码的改进遗传算法(阿加),对出口参数未知的变工况STHE进行优化。在给定的性能和结构约束条件下,以单位总重量的最大传热能力KA为优化目标,选取了管外径、管横间距、管纵间距、管横排数、弯头高度和弯头数量6个优化设计变量。优化结果表明,采用阿加遗传算法,目标参数分布由88.3193.86 kW/(K.kg)缩小到91.9093.92 kW/(K.kg),大于93 kW/(K.kg)的最优解比例由22.62%提高到94.32%。优化后的单位重量传热能力KA由原来的70.08 kW/(K.kg)提高到93.92 kW/(K.kg)。作为关键限制因素的热端最高出口温度和压降在优化后的STHE中并不出现在相同的操作模式下,并且两者都非常接近给定的极限。在多约束条件下,该方法的有效性和适用性得到了很好的验证。(C)2020由Elsevier Ltd.出版
This work presents an optimal design method for a compact air-air serpentine tube heat exchanger (STHE), which is applied as the core component of the bearing sealing cooling system in the aero engine. A new optimization tool, coupling with the Logarithmic Mean Temperature Difference (LMTD) method and an advanced genetic algorithm (AGA) using Gray code, is proposed to optimize the STHE with unknown outlet parameters under variable working conditions. Under the given performance and structural constraints, six optimization design variables, including tube outer diameter, the transverse tube pitch, the longitudinal tube pitch, the transverse tube rows, the height and the number of elbows, are selected to obtain the maximum heat transfer capability KA per total weight. The optimization results show that, by using AGA, the target parameter distribution is narrowed from 88.3193.86 kW/(K.kg) to 91.9093.92 kW/(K.kg), and the proportion of the optimal solutions higher than 93 kW/(K.kg) increases from 22.62% to 94.32%. The optimization also improves the heat transfer capability KA per total weight to 93.92 kW/(K.kg), comparing with the original value of 70.08 kW/(K.kg). As the key limiting factors, the hot side maximum outlet temperature and pressure drop in the optimized STHE do not appear at the same operation mode and both of them are quite close to the given limits. It well demonstrates the validity and applicability of the proposed optimization design method using under multiple restrictions and conditions. (C) 2020 Published by Elsevier Ltd.