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Prediction of Agglomerate Type during Scale-Up of a Batch Crystallization Using Computational Fluid Dynamics Models

机译:使用计算流体动力学模型预测批量结晶放大过程中的团聚体类型

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摘要

The impact of hydrodynamics on agglomeration during the crystallization of an active pharmaceutical ingredient (API) was investigated. The type of agglomerate formed was experimentally observed to correlate with agitation level at the laboratory and kilo-lab scales. It was hypothesized that differences in agglomerate type were related to differences in the collision rate of primary crystals, caused by differences in the local degree of agitation (e.g., the local values of fluid turbulence dissipation rate, ε). Spatial distributions of ε were determined from computational fluid dynamics (CFD) models at process scales ranging from laboratory (200 mL) to commercial scale (875 L). Higher values of ε were calculated for conditions shown to result in the formation of rounded, compact agglomerates, while at the lower values of ε, looser agglomerates of flakelike particles were observed. Predictions for pilot-plant- and commercial-scale crystallization operating conditions were made using local ε values as the scaling parameter.
机译:研究了流体动力学对活性药物成分(API)结晶过程中团聚的影响。实验上观察到形成的附聚物类型与实验室和千实验室规模的搅拌水平相关。假设团聚体类型的差异与初级晶体的碰撞速率的差异有关,这是由于局部搅动程度的差异(例如,流体湍流耗散率的局部值ε)引起的。 ε的空间分布是根据计算流体力学(CFD)模型在实验室(200 mL)到商业规模(875 L)的过程规模下确定的。对于显示导致形成圆形,致密附聚物的条件,计算出较高的ε值,而在较低的ε值下,观察到鳞片状颗粒的疏松附聚物。使用局部ε值作为缩放参数,对中试规模和商业规模的结晶操作条件进行了预测。

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