2016
DOI: 10.1021/acs.iecr.6b01386
|View full text |Cite
|
Sign up to set email alerts
|

Operating Strategy for Continuous Multistage Mixed Suspension and Mixed Product Removal (MSMPR) Crystallization Processes Depending on Crystallization Kinetic Parameters

Abstract: Continuous multistage MSMPR crystallization processes are useful for the large scale production of particulate systems. However, the design of operating strategies to meet specific objectives and materials has not been entirely investigated. In this work, the effect of important crystallization kinetic parameters on the optimal operating strategy was examined. The important parameters are the kinetic constants of the primary and secondary nucleation rates, the orders of the nucleation and growth rates, and the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
18
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 22 publications
(18 citation statements)
references
References 48 publications
0
18
0
Order By: Relevance
“…The crystallization modeling used in this application utilized population balance models. Population balance modeling is a common means to model a crystallization process and has been used by others for MSMPR cascades with cooling-driven supersaturation. ,,,,, There have been many studies quantifying crystallization kinetic parameters in MSMPRs. ,, …”
Section: Mixing and Crystallization Modelingmentioning
confidence: 99%
“…The crystallization modeling used in this application utilized population balance models. Population balance modeling is a common means to model a crystallization process and has been used by others for MSMPR cascades with cooling-driven supersaturation. ,,,,, There have been many studies quantifying crystallization kinetic parameters in MSMPRs. ,, …”
Section: Mixing and Crystallization Modelingmentioning
confidence: 99%
“…Modeling and optimization methodologies can be used to establish optimal process design configurations. , Advanced theoretical methods have been previously implemented toward optimal pharmaceutical unit design and optimization of pharmaceutical manufacturing processes to elucidate optimal operation, analysis of synthetic pathways, and life cycle assessments. , Modeling and optimization have also been implemented in the design of separation processes in pharmaceutical manufacturing, such as liquid–liquid extraction (LLE), crystallization, and chromatographic methods . Identification of cost-optimal plantwide designs is essential, particularly end-to-end designs encompassing synthesis and purification/separation.…”
Section: Introductionmentioning
confidence: 99%
“…First, batch crystallizations tend to undergo separate nucleation and growth events; in an MSMPR crystallizer, growth and nucleation occur simultaneously, competing to reduce supersaturation. 16 Second, batch experiments have limited use for predicting secondary nucleation, which is the dominant nucleation mechanism in an MSMPR crystallizer. 17 Solventdependent kinetic parameters must be regressed from continuous crystallization experiments for a proper antisolvent MSMPR crystallizer design.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Although procedures exist for regressing solvent-dependent kinetic (SDK) parameters from batch crystallization experiments, these experiments have severe shortcomings. First, batch crystallizations tend to undergo separate nucleation and growth events; in an MSMPR crystallizer, growth and nucleation occur simultaneously, competing to reduce supersaturation . Second, batch experiments have limited use for predicting secondary nucleation, which is the dominant nucleation mechanism in an MSMPR crystallizer .…”
Section: Introductionmentioning
confidence: 99%