目的 为了研究中药喷雾干燥过程中干燥塔内的流场特性和颗粒的干燥行为，以金银花提取液的喷雾干燥过程为例，针对喷雾干燥塔建立了计算流体力学仿真模拟。方法 采用离散相模型计算液滴的干燥和运动过程，SST k-ω湍流模型用于计算干燥塔中的瞬态流动，并利用分布式光纤测温系统和最终产品特性实验结果对模型的准确性进行了验证。结果 温度场实验结果与模拟基本一致，金银花粉末的得粉率与平均粒径相对偏差在5%以内。对不同初始粒径的液滴进行分析，干燥塔中的温度分布与液滴的干燥和运动特性密切相关。结论 建立的数值计算模型能够模拟喷雾干燥塔内的复杂气流模式和金银花提取液的干燥特性，该模型能够用于工艺和设计优化，提升中药制药过程质量控制的智能化程度。

Objective In order to study the flow field characteristics and the drying behavior of particles in the drying tower during the spray drying process of traditional Chinese medicine, a computational fluid dynamics simulation was established for the spray drying tower with Jinyinhua (Lonicerae Japonicae Flos, LJF) extract as an example. Methods The discrete phase model (DPM) was used to calculate the drying and motion processes of droplets, and the SST k-ω turbulence model was applied to calculate the transient flow in the drying tower, and the accuracy of the model was verified by using the distributed fiber optic temperature measurement system and the experimental results of the final product characteristics. Results The experimental results of the temperature field were basically consistent with the simulation, and the relative deviation of the powder yield and the average particle size of LJF powder was within 5%. The droplets with different initial particle sizes were analyzed, and the temperature distribution in the drying tower was closely related to the drying and motion characteristics of the droplets. Conclusion The numerical calculation model established in this paper can simulate the complex airflow patterns and drying characteristics of LJF extract in spray drying towers, and the model can be used for process and design optimization to enhance the intelligence of quality control in the pharmaceutical process of Chinese medicine.

R283.6

国家自然科学基金面上项目（82074276）；国家中医药管理局创新团队与人才培养计划（ZYYCXTD-D-202002）；现代中医药海河实验室科研项目（22HHZYSS00003）；现代中医药海河实验室科研项目（22HHZYSS00009）