A model for the prediction of supersaturation level in batch cooling crystallization

Guangyu Yang*, Marjatta Louhi-Kultanen, Zuoliang Sha, Noriaki Kubota, Juha Kallas

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

A model for predicting the cooling profile used in the batch cooling crystallization was introduced. The model includes the supersaturation- and suspension density-dependent secondary nucleation rate, the supersaturation-dependent growth rate, the seeding condition and the batch time. The cooling profile was predicted by numerically solving the model equation when the constant supersaturation was chosen to be the control target. For the different sets of operating conditions, i.e. seeding condition and batch time, different cooling profiles together with the control target, i.e. different constant levels of supersaturation, were predicted. The predicted supersaturation levels were verified experimentally in the crystallization of potassium dihydrogen phosphate (KDP). The product crystals with mono-modal size distribution were obtained with a cooling mode of reducing secondary nucleation predicted by the model.

Original languageEnglish
Pages (from-to)426-436
Number of pages11
JournalJOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Volume39
Issue number4
DOIs
Publication statusPublished - 20 Apr 2006
MoE publication typeA1 Journal article-refereed

Keywords

  • Batch crystallization
  • Cooling profile
  • Seeding
  • Simulation
  • Supersaturation

Fingerprint Dive into the research topics of 'A model for the prediction of supersaturation level in batch cooling crystallization'. Together they form a unique fingerprint.

Cite this