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ASL model for prediction of CSD in a continuous crystallizer
Author(s) -
Dey Avijit,
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.2170290407
Subject(s) - monte carlo method , statistical physics , potassium carbonate , crystal (programming language) , chemistry , thermodynamics , mathematics , statistics , physics , computer science , organic chemistry , programming language
Abstract A Monte Carlo simulation scheme is proposed for crystal size distribution (CSD) in a continuous crystallizer for size dependent growth rate. Crystal growth rates are described by Abegg, Stevens, and Larson (ASL) model. The proposed model is used to predict CSD from potassium carbonate crystallizer. The agreement between theory and available data confirms the validity of the model.