王小平, 瞿海斌. 一种基于计算流体动力学技术的银杏叶滴丸滴制过程仿真方法J. 药学学报, 2023, 58(10): 2909-2913. DOI: 10.16438/j.0513-4870.2023-0138
引用本文: 王小平, 瞿海斌. 一种基于计算流体动力学技术的银杏叶滴丸滴制过程仿真方法J. 药学学报, 2023, 58(10): 2909-2913. DOI: 10.16438/j.0513-4870.2023-0138
WANG Xiao-ping, QU Hai-bin. A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics technologyJ. Acta Pharmaceutica Sinica, 2023, 58(10): 2909-2913. DOI: 10.16438/j.0513-4870.2023-0138
Citation: WANG Xiao-ping, QU Hai-bin. A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics technologyJ. Acta Pharmaceutica Sinica, 2023, 58(10): 2909-2913. DOI: 10.16438/j.0513-4870.2023-0138

一种基于计算流体动力学技术的银杏叶滴丸滴制过程仿真方法

A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics technology

  • 摘要: 本文建立了一种基于计算流体动力学技术的银杏叶滴丸滴制过程仿真模拟方法。以银杏叶滴丸为研究对象, 采用FLOW-3D软件, 对滴制过程进行仿真计算。通过控制方程的推导、模型的选择及仿真参数的筛选, 模拟了液滴滴落过程。首先仿真计算不同药液黏度下液滴滴落的形态及滴速, 发现随着药液黏度的增加, 液滴速度减小, 滴制难度逐渐增加, 该仿真结果与实验趋势相符。其次考察了不同滴速下液滴滴落的形态, 并采用实验进行验证, 发现仿真计算结果与实验结果具有较好的相关性。结果表明, 黏度为影响滴制过程的关键药液性质, 滴速则为影响滴制过程的关键工艺参数。综上所述, 该仿真模拟方法的建立不仅可加深对滴丸滴制工艺的理解, 而且可为滴丸原料的选择及工艺参数的调节提供参考。

     

    Abstract: A simulating method for dripping process of Ginkgo biloba leaf dripping pills based on computational fluid dynamics was constructed. Ginkgo biloba leaf dripping pills was explored as the experimental subject to simulate the dripping process based on FLOW-3D software. The dripping process was simulated through the derivation of the governing equations, the selection of the models, and simulation parameters. Firstly, the droplet morphologies and drop speeds under different liquid viscosity were simulated. It was found that with the increase of the liquid viscosity, the drop speed decreased and the difficulty of droplet preparation gradually increased. The simulation results were consistent with the experiment results. Secondly, the droplet morphologies at different drop speeds were investigated and verified by experiments. It was found that the simulation results had a good correlation with the experiment results. The results shown that the viscosity of the liquid was the critical material attribute, and the drop speed was the critical process parameter, according to the droplet morphology. The establishment of the simulation method can deepen the understanding of the dripping process and provide a reference for the selection of raw materials and process parameters.

     

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