Chemical Engineering and Processing, ( ISI ), Year (2007-11)

Title : ( Optimization in seeded cooling crystallization: A parameter estimation and dynamic optimization study )

Authors: Seyed Mostafa Nowee Baghban , Ali Abbas , Jose Romagnoli ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

In this solution crystallization study, a population balance model that predicts the crystal size distribution (CSD) is used for targeting, by optimization, the product mean size and the coefficient of variation of the final CSD. The model is robust over a wide range of conditions and predicts the effects of heating during a batch since the kinetics of dissolution have been identified and incorporated into the model. The dynamic temperature profile and the initial seed size distribution are optimized while the initial seed induction time is conferred through knowledge of saturation conditions. This is quite a highly developed method that provides a systematic approach towards optimal operation. Results from optimizations under different objective functions are presented and validated experimentally.

Keywords

Crystallization; Cooling; Seeding; CSD; Nucleation; Growth; Parameter estimation; Dynamic
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1007546,
author = {Nowee Baghban, Seyed Mostafa and Ali Abbas and Jose Romagnoli},
title = {Optimization in seeded cooling crystallization: A parameter estimation and dynamic optimization study},
journal = {Chemical Engineering and Processing},
year = {2007},
month = {November},
issn = {0255-2701},
keywords = {Crystallization; Cooling; Seeding; CSD; Nucleation; Growth; Parameter estimation; Dynamic optimization},
}

[Download]

%0 Journal Article
%T Optimization in seeded cooling crystallization: A parameter estimation and dynamic optimization study
%A Nowee Baghban, Seyed Mostafa
%A Ali Abbas
%A Jose Romagnoli
%J Chemical Engineering and Processing
%@ 0255-2701
%D 2007

[Download]