A performance calculation method based on heat transfer unit (HTU) simulation is proposed to calculate heat transfer capacity and air-side pressure drop of Annular radiator (AR), which can avoid the problem of a huge amount of grids, and at the same time, ensure the calculation accuracy. Calculation results are compared with experimental data, and the average errors of heat transfer capacity and air-side pressure drop are 11.5%, and 5.9%, respectively, which effectively validates the effectiveness and the reliability of this method. Besides, based on HTU simulation knowledge database, a configuration optimization method of AR using Non-dominated Sorted Genetic Algorithm-II (NSGA-II) is introduced. Number of fins in circumferential direction, number of fins in axial direction, and fin height are chosen as design parameters, and two conflicting optimization objectives include heat transfer capacity maximization and air-side pressure drop minimization. Three optimal structures of AR are obtained, and the optimal results indicate that the heat transfer capacity of the optimal configurations increases by 34.31% on average compared with the original one, while the air-side pressure drop decreases by 24.00% on average, which indicates that this method is feasible and valid and can provide significant guidance for structural design of AR.

提出了一种基于换热单元模拟的性能计算方法，可以计算环形散热器（AR）的换热能力和空气侧压降，可以避免大量格栅的问题，同时，确保计算精度。将计算结果与实验数据进行比较，传热能力和空气侧压降的平均误差分别为11.5％和5.9％，有效地验证了该方法的有效性和可靠性。此外，在HTU仿真知识数据库的基础上，提出了一种基于非支配排序遗传算法II（NSGA-II）的AR配置优化方法。选择周向的散热片数，轴向的散热片数和散热片高度作为设计参数，两个相互矛盾的优化目标包括最大的传热能力和最小的空气侧压降。获得了三个最优的AR结构，优化结果表明，最优构型的传热能力比原始构型平均提高了34.31％，而空气侧压降平均降低了24.00％，这表明该方法可行，有效，可为AR的结构设计提供重要指导。