【摘要】 为实现含相变的缠绕管换热器的优化设计，提出了一整套计算模型，对传统模型中的Gilli公式进行了改进，大幅提升了该模型的计算速度。基于提出的计算模型以及非支配排序遗传算法Ⅱ(non-dominated sorting genetic algorithmⅡ,NSGA-Ⅱ)利用Python语言编写了缠绕管换热器的多目标优化程序，以径向间距、轴向间距以及缠绕角作为设计变量，以总换热系数、管程及壳程压降作为目标函数对缠绕管换热器的几何结构进行了优化设计。通过实例验证，改进后的模型传热误差最大不超过3.6%,压降误差最大不超过8.5%,因此改进的计算模型具有较高的可信度。程序优化结果表明：相比初始结构，优化结构一总换热系数提高了7.1%,而壳侧压降降低了21.0%,管侧压降降低了0.7%;优化结构二总换热系数基本不变，壳侧压降降低了23.0%,管侧压降降低了27.0%。因此该优化程序可以有效优化缠绕管换热器的几何结构。更多还原

【Abstract】 In order to realize the optimal design of spiral coil tube heat exchanger with phase change, a set of calculation models was presented. The Gilli formula of traditional model was modified and the computation efficiency was improved greatly. Based on the modified calculation model and non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ), the optimization program of spiral coil heat exchanger was written by using language Python. The overall heat transfer coefficient and pressure drop of both sides were taken as the objective function and the transversal spacing, longitudinal spacing and the winding angle were taken as the design variables to optimize the initial structure of the spiral coil heat exchanger. Compared to the existing example, the error of heat transfer coefficient of the modified model is no more than 3.6% while the error of pressure drop is no more than 8.5%. It could prove the reliability of the modified model and the program. Compared to the initial structure, the shell side pressure drop of No.1 optimized structure decreases by 21.0% while the heat transfer coefficient increases by 7.1%. The No.2 optimized structure can reduce the shell side pressure drop and tube side pressure drop by 27.0% and 23.0% while the heat transfer coefficient won’t become worse. It is concluded that the optimization program can optimize the geometric parameters of spiral coil heat exchanger effectively.更多还原