航空发动机

邱相臣，郑皓冉，程显达，董威.多工况混电飞机板翅式散热器优化设计方法[J].航空发动机,2024,50(6):32-38

多工况混电飞机板翅式散热器优化设计方法

Optimization Design Method of Plate-Fin Radiator of Hybrid Electric Aircraftunder Multiple Working Conditions

DOI：

英文关键词:plate-fin radiator multiple working conditions genetic algorithm particle swarm optimization cold side pressure drop hybrid electric aircraft

基金项目:

作者	单位
邱相臣，郑皓冉，程显达，董威	上海交通大学机械与动力工程学院，上海 200240

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中文摘要:

针对机载板翅式散热器在结构设计时传热和压降的极端工况点不一致的问题，提出了考虑多工况约束条件的散热器结构优化算法。建立了散热器计算模型并验证了模型的准确性，并基于遗传算法（GA）和粒子群优化算法（PSO）建立了改进的GA- PSO算法模型，在该模型基础上考虑了散热器工作包线作为入口参数，通过不断改进散热器结构参数，确保散热器在不同入口参数下计算得到的传热和压降都能够满足约束条件。结果表明：与GA算法和PSO算法相比，GA-PSO算法在解决多工况优化问题时具有更强的全局寻优能力和收敛性，得到的优化结果在限定体积内质量最小，最小质量达3.91kg，与优化前相比降低了14%，同时也保证了散热器在工作包线内任意工况下压降和传热均满足约束要求，验证了基于GA-PSO算法的散热器多工况优化方法的可行性。

英文摘要:

Aiming at the inconsistent extreme working conditions of heat transfer and pressure drop during structural design of airborne plate-fin radiator, a structural optimization algorithm considering multiple working conditions as constraints is proposed. A radia? tor calculation model was established and its accuracy was verified. Based on genetic algorithm (GA) and particle swarm optimization (PSO), an improved algorithm called GA-PSO was established. On the basis of this model, the working envelope of the radiator was taken into account as inlet parameters, the structural parameters of the radiator were continuously improved to make sure that the heat transfer and pressure drop calculated under different inlet parameters meet the constraint conditions. The results show that in solving multiple work? ing condition optimization problems, GA-PSO algorithm has stronger global optimization ability and convergence than GA and PSO. The optimization result has the smallest mass within the limited volume, with a minimum mass of 3.91kg, which is 14% lower than the original radiator. At the same time, it also ensures that the pressure drop and heat transfer of the optimized radiator all meet the constraint require? ments under any working conditions in the working envelope, which verifies the feasibility of the multiple working condition optimization method of the radiator based on GA-PSO algorithm.

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