Crystallization performance requirements

Batch crystallizers are often used in situations in which production quantities are small or special handling of the chemicals is required. In the manufacture of speciality chemicals, for example, it is economically beneficial to perform the crystallization stage in some optimal manner. In order to design an optimal control strategy to maximize crystallizer performance, a dynamic model that can accurately simulate crystallizer behavior is required. Unfortunately, the precise details of crystallization growth and nucleation rates are unknown. This lack of fundamental knowledge suggests that a reliable method of model identification is needed. 

The molecular weight of crystal polystyrene can also play an important role in blend properties. There is a trade-off between impact and clarity, with higher molecular weight giving better impact and lower molecular weight providing better clarity. The converter can select the proper crystal polystyrene to match specific performance requirements. 

Therefore, two of the three performance criteria are met. The remainlog design problem is to determine how to satisfy (he crystal size requirement. It is necessary to delve into crystallization kinetics to analyze this aspect of the cess study. 

It should be stressed, that a successful analysis of solvated crystal forms requires additional methods besides those mentioned with true polymorphs. Such methods are, for example, thermogravimetry or Karl-Fischer titration and moisture sorption/desorption analysis for hydrates. In order to perform studies... 

It may be difficult to choose the right filtration equipment for a crystallization process. The selection of filtration equipment involves balancing the process specihcations and objectives with the capabilities and characteristics of the various equipment alternatives. Wakeman and Tarleton [49] provide guidelines for the selection of hltration equipment. Important process-related factors are the slurry character, production throughput, process conditions, performance requirements. 

However, while QTAM-based approaches (3.5) and (3.6) allow H-bonding strength ranking in molecular crystals, they require actual H-bonding geometry information to perform the predictions. Therefore, the drawback of these desalptor-based methods is that they cannot be directly used for the assessment of the likelihood of an unknown missed stable form. 

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