Particle shape manipulation and optimization in cooling crystallization involving multiple crystal morphological forms
Particle shape manipulation and optimization in cooling crystallization involving multiple crystal morphological forms
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DOI：
10.1002/aic.11892
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发表时间：
2009-08
期刊：
影响因子：
3.7
通讯作者：
J. Wan;X. Wang;Cai Y. Ma
中科院分区：
文献类型：
--
作者：
J. Wan;X. Wang;Cai Y. Ma
进一步发展了一个预测晶体形态分布动态演化的粒子数平衡模型，用于模拟多种晶体形态共存并发生转变的结晶过程。新的模型被应用到推导出最佳的温度和过饱和度的档案，导致所需的晶体形状分布在冷却结晶。由于跟踪一个最佳的温度或过饱和轨迹可以很容易地实现通过操纵反应器夹套中的冷却剂流量，所提出的方法提供了一个可行的闭环机制，晶体形状的剪裁和控制。该方法被证明是通过将其应用到钾明矾的晶种冷却结晶的案例研究。© 2009美国化学工程师学会AIChE J，2009
A population balance model for predicting the dynamic evolution of crystal shape distribution is further developed to simulate crystallization processes in which multiple crystal morphological forms co-exist and transitions between them can take place. The new model is applied to derive the optimal temperature and supersaturation profiles leading to the desired crystal shape distribution in cooling crystallization. Since tracking an optimum temperature or supersaturation trajectory can be easily implemented by manipulating the coolant flowrate in the reactor jacket, the proposed methodology provides a feasible closed-loop mechanism for crystal shape tailoring and control. The methodology is demonstrated by applying it to a case study of seeded cooling crystallization of potash alum. © 2009 American Institute of Chemical Engineers AIChE J, 2009