Model-Based Evaluation of Direct Nucleation Control Approaches for the Continuous Cooling Crystallization of Paracetamol in a Mixed Suspension Mixed Product Removal System,Crystal Growth & Design

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Model-Based Evaluation of Direct Nucleation Control Approaches for the Continuous Cooling Crystallization of Paracetamol in a Mixed Suspension Mixed Product Removal System
Crystal Growth & Design ( IF 3.2 ) Pub Date : 2017-09-22 00:00:00 , DOI: 10.1021/acs.cgd.7b00860
David Acevedo ₁ , Yang Yang _{1,

2} , Daniel J. Warnke ₁ , Zoltan K. Nagy ₁

Affiliation

Direct nucleation control (DNC) is a model-free feedback control approach based on the measurement of particle number in the crystallization process. The experimental implementation has demonstrated that this approach is efficient to produce large and uniform crystals in batch crystallization, or to reduce startup duration and suppress disturbance in continuous crystallization. In this work, five different DNC frameworks/strategies are proposed for a continuous mixed suspension mixed product removal (MSMPR) crystallization of paracetamol–water system and evaluated systematically using a model-based approach. It is found that the reverse DNC framework could provide the best control performance in terms of startup, set-point change, and disturbance suppression. In addition, an optimal heating/cooling rate of about 0.6 °C/min was determined. These observations are applicable for the model compound studied (paracetamol) and should be investigated for other systems. This study provides a general guidance of designing a DNC framework with the best control performance for continuous MSMPR crystallization.

中文翻译：

对乙酰氨基酚在混悬液混合产物去除系统中连续冷却结晶的直接成核控制方法的基于模型的评估

直接成核控制（DNC）是基于结晶过程中颗粒数量的测量的无模型反馈控制方法。实验实现表明，该方法可有效地在批量结晶中生产大而均匀的晶体，或减少启动时间并抑制连续结晶中的干扰。在这项工作中，为扑热息痛-水系统的连续混合悬浮液混合产物去除（MSMPR）结晶提出了五种不同的DNC框架/策略，并使用基于模型的方法进行了系统评估。发现反向DNC框架可以在启动，设定点更改和干扰抑制方面提供最佳的控制性能。另外，确定了约0.6℃/ min的最佳加热/冷却速率。这些观察结果适用于所研究的模型化合物（扑热息痛），还应研究其他系统。这项研究为设计具有最佳控制性能的DNC框架提供了一般指导，以实现连续MSMPR结晶。

更新日期：2017-09-23

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