Optimization of cooling strategy and seeding by FBRM analysis of batch crystallization

Dejiang Zhang, Lande Liu, Shijie Xu, Shichao Du, Weibing Dong, Junbo Gong

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A method is presented for optimizing the cooling strategy and seed loading simultaneously. Focused beam reflectance measurement (FBRM) was used to determine the approximating optimal cooling profile. Using these results in conjunction with constant growth rate assumption, modified Mullin-Nyvlt trajectory could be calculated. This trajectory could suppress secondary nucleation and has the potential to control product’s polymorph distribution. Comparing with linear and two step cooling, modified Mullin-Nyvlt trajectory have a larger size distribution and a better morphology. Based on the calculating results, the optimized seed loading policy was also developed. This policy could be useful for guiding the batch crystallization process.
Original languageEnglish
Number of pages9
JournalJournal of Crystal Growth
Volume486
Early online date3 Jan 2018
DOIs
Publication statusPublished - 15 Mar 2018

Fingerprint

Reflectometers
inoculation
Crystallization
Trajectories
trajectories
crystallization
Cooling
reflectance
cooling
optimization
Seed
seeds
Polymorphism
Nucleation
nucleation
products
profiles

Cite this

Zhang, Dejiang ; Liu, Lande ; Xu, Shijie ; Du, Shichao ; Dong, Weibing ; Gong, Junbo. / Optimization of cooling strategy and seeding by FBRM analysis of batch crystallization. In: Journal of Crystal Growth. 2018 ; Vol. 486.
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Optimization of cooling strategy and seeding by FBRM analysis of batch crystallization. / Zhang, Dejiang; Liu, Lande; Xu, Shijie; Du, Shichao; Dong, Weibing; Gong, Junbo.

In: Journal of Crystal Growth, Vol. 486, 15.03.2018.

Research output: Contribution to journalArticle

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AU - Xu, Shijie

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AU - Gong, Junbo

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