Abstract This work deals with the creation of a mathematical model which will predict with sufficient accuracy the size of granules in the high-shear granulation process. The aim of the paper was to create a model created with dimensionless criteria to give the size of granules as a function of selected process parameters, equipment, and experimental material. Microcrystalline cellulose granules were manufactured in an experimental granulator of our own construction using a high amount of granulation liquid (absolute humidity >40%). The work also focuses on the study of granule size distribution and the yield of the process in achieving the target granule fraction (0.4–3 mm). Particle size and particle size measurement were performed using 3 D dynamic image analysis (PartAn 3 D, Microtrac). The granules were analyzed with respect to their shape and width of distribution. Using the created model, it is possible with high probability, 89.4%, to predict on our device the median value of the granule size of microcrystalline cellulose, with ±0.1 mm precision.

中文翻译：

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无量纲标准作为创建模型的工具，用于预测高剪切造粒中的颗粒尺寸

摘要 这项工作涉及创建一个数学模型，该模型将足够准确地预测高剪切造粒过程中的颗粒尺寸。该论文的目的是创建一个使用无量纲标准创建的模型，以根据选定的工艺参数、设备和实验材料给出颗粒大小。微晶纤维素颗粒是在我们自己建造的实验造粒机中使用大量造粒液体（绝对湿度 >40%）制造的。这项工作还侧重于研究颗粒尺寸分布和实现目标颗粒分数（0.4-3 毫米）的过程的产量。使用 3D 动态图像分析 (PartAn 3 D, Microtrac) 进行粒度和粒度测量。分析颗粒的形状和分布宽度。使用创建的模型，有可能以 89.4% 的高概率在我们的设备上预测微晶纤维素颗粒大小的中值，精度为 ±0.1 毫米。