Model identification of crystal facet growth kinetics in morphological population balance modeling of l-glutamic acid crystallization and experimental validation
Model identification of crystal facet growth kinetics in morphological population balance modeling of l-glutamic acid crystallization and experimental validation
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DOI：
10.1016/j.ces.2011.05.042
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发表时间：
2012-03
影响因子：
4.7
通讯作者：
Chao Y. Ma;X. Wang
中科院分区：
文献类型：
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作者：
Chao Y. Ma;X. Wang
结晶过程的形态种群平衡（PB）模型预测了溶液中生长晶体形状分布的动态演变。它需要晶体各个方面的生长动力学。本文研究了模型识别技术，用于推导尺寸依赖的小面生长动力学模型，作为过饱和和晶体尺寸的函数。进行了冷却结晶实验，并记录了溶液浓度和温度。使用集成粒子色散成像系统对种子和所得产物晶体的形状和大小分布进行了表征。用同一种化学物质在不同冷却条件下的结晶实验数据对所得模型进行了验证。在所有实验中，使用在线成像仪获取实时图像，以便与模型预测的形状分布进行定性比较。
Morphological population balance (PB) modeling of crystallization processes predicts the dynamic evolution of shape distribution of crystals grown from solution. It requires growth kinetics of individual facets of crystals. This paper investigates model identification techniques for deriving size-dependent facet growth kinetics models as functions of supersaturation and size of the crystal. Cooling crystallizations experiments were carried out with solution concentration and temperature recorded. The seeds and obtained product crystals were characterized for shape and size distributions using an integrated particle dispersion–imaging system. The models obtained were tested using experimental data of crystallization of the same chemical under different cooling conditions. During all experiments an on-line imaging instrument was applied to obtaining real-time images for the purpose of qualitative comparison with model predicted shape distribution.