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A stratified Monte Carlo simulation of CSD in a continuous crystallizer for size‐dependent growth
Author(s) -
Dey Avijit,
Banerjee Suman,
Gupta Bhaskar Sen
Publication year - 1994
Publication title -
crystal research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 64
eISSN - 1521-4079
pISSN - 0232-1300
DOI - 10.1002/crat.2170290409
Subject(s) - monte carlo method , statistical physics , crystal (programming language) , work (physics) , particle size distribution , moment (physics) , thermodynamics , particle size , materials science , physics , chemistry , mathematics , statistics , computer science , classical mechanics , programming language
This work deals with the prediction of crystal size distribution (CSD) in a continuous crystallizer for size‐dependent growth. Crystal growth rates are described by Abegg, Stevens, and Larson (ASL) model. Stratified Monte Carlo method has been employed to evaluate the integrals involved in the classical moment equation for prediction of CSD. The simulation results have been compared with the available experimental data of K 2 CO 3 · 1.5 H 2 O crystals in a continuous crystall lizer.