最近开展的工作旨在表征带狭缝和百叶窗翅片且管径在3-5mm（0.12-0.2in）范围内的热交换器的空气侧传热和压降性能。这些新开发的关联式已应用于热交换器模拟工具中，以预测不同设计和运行条件下热交换器的性能。采用多目标遗传算法（MOGA）技术对换热器设计的关键参数进行优化研究，以优化性能。 在本示例案例研究中，对1吨住宅分体式空调系统的室外机进行了优化，以最小化空气侧压降和原材料成本，同时保持同等容量。通过优化，电荷和线圈体积也达到了最小化。该研究的设计空间是全面的，不仅包括管道和翅片的数量和尺寸，还包括翅片表面几何细节（例如狭缝高度、狭缝数量等）在相关性范围内的变化。 这是首次针对管外径为3-9.52 mm（0.12-0.375 in）的狭缝和百叶窗翅片热交换器进行此类优化研究。研究结果表明，当用较小直径的管子替换基线9.52毫米（0.375英寸）管子时，可以显著节约成本。目前的结果表明，对于同等性能，采用9.52 mm管子的优化设计的材料成本是采用5 mm（0.2 in）管子的优化设计的两倍。在某种程度上，结果还表明，随着管道尺寸继续减小到5 mm以下，回报率也在减小。 通过这项工作，可以使用不同的目标函数和约束条件进行额外的分析，包括最小化电荷或体积，或优化不同容量和配置的系统。引用:无效

Recent work has been conducted to characterize the air-side heat transfer and pressure drop performance of heat exchangers with slit and louver fins and tube diameters ranging from 3-5 mm (0.12-0.2 in). These newly developed correlations have been implemented into a heat exchanger simulation tool to predict the performance of heat exchangers with varying designs and operating conditions. An optimization study was conducted using a Multi Objective Genetic Algorithm (MOGA) technique to vary key parameters of the heat exchanger designs in order to optimize performance.In this sample case study, the outdoor unit of a 1-ton residential split AC system is optimized to minimize air-side pressure drop and raw material costs while maintaining equivalent capacity. Minimization of charge and coil volume are also achieved through optimization.The design space of the study is comprehensive, including not only the number and dimensions of tubes and fins, but also the variation of the fin surface geometry details (e.g. slit height, number of slits, etc.) across the range of the correlations. This is the first optimization study of this type presented for slit and louver fin heat exchangers with tube outer diameters from 3-9.52 mm (0.12-0.375 in).Findings indicate the potential for significant cost savings when replacing the baseline 9.52 mm (0.375 in) tubes with smaller diameter tubes. Current results show that the optimal designs with 9.52 mm tubes have material costs on the order of twice as much as the optimal designs with 5 mm (0.2 in) tubes for equivalent performance. To some extent, the results also indicate diminishing returns as the tube size continues to decrease below 5 mm. From this effort, additional analyses can be conducted with different objective functions and constraints including minimization of charge or volume or optimizing a system of a different capacity and configuration.