Optimization of two-stage cooling profile in unseeded batch crystallization

被引：6

作者：

King, Jared C. ^{[1
]}

Li, Huayu ^{[1
]}

Grover, Martha A. ^{[1
]}

Kawajiri, Yoshiaki ^{[1
]}

Rousseau, Ronald W. ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Chem & Biomol Engn, Atlanta, GA 30332 USA

来源：

IFAC PAPERSONLINE | 2015年 / 48卷 / 08期

关键词：

batch crystallization; crystal size distribution; optimization; crystallization kinetics; IDENTIFICATION; MODEL;

D O I：

10.1016/j.ifacol.2015.08.197

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A two-stage cooling protocol for batch cooling crystallization was optimized to maximize mean crystal size while minimizing the variance in size. A population balance model represents the crystallization process, incorporating crystal growth and nucleation, for use in a multi-objective optimization. At all points along the Pareto front, the optimal strategy has the nucleation event occurring on the temperature plateau between the two cooling stages. This shortens the nucleation period supersaturation is rapidly depleted, ultimately generating fewer crystals of larger size. In comparison to a simple linear cooling profile, the two step strategy produces crystals of larger size with smaller variance. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：297 / 302

页数：6

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