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Modeling, simulation and kinetic parameter estimation in batch crystallization processes
Author(s) -
Farrell Robert J.,
Tsai YenCheng
Publication year - 1994
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690400403
Subject(s) - supersaturation , nucleation , crystallization , kinetic energy , estimation theory , process (computing) , nonlinear system , thermodynamics , transformation (genetics) , biological system , materials science , chemistry , mathematics , computer science , physics , statistics , biochemistry , quantum mechanics , biology , gene , operating system
A dynamic model of a seeded batch crystallizer is used to investigate the process‐dependent aspects of nucleation and growth kinetic parameter estimation by computer simulation. The satisfactory identification of all parameters in power‐law‐type kinetics with respect to supersaturation requires the use of nonlinear parameter transformations. The proper choice for transformation is problem‐dependent, becoming more sensitive as nucleation rates increase, and the percentage of crystals below the measurable range increases.