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Monte carlo simulation of transient CSD in a continuous crystallizer
Author(s) -
Gupta Bhaskar Sen,
Dutta Tapas Kumar
Publication year - 1990
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.270130153
Subject(s) - monte carlo method , transient (computer programming) , balance equation , markov chain monte carlo , statistical physics , detailed balance , work (physics) , dispersion (optics) , markov chain , markov process , computer science , markov model , mathematics , physics , thermodynamics , statistics , optics , operating system
A Monte Carlo simulation scheme is proposed for transient crystal size distribution in a continuous crystallizer. The suggested scheme can taken into account dispersion effects of growth rate, shape factor and birth size on crystal size distribution. This method is simple and more versatile than solution of the number balance equation or the finite‐state Markov chain model. The proposed algorithm of the process has a very simple structure and can be easily implemented on a personal computer. The present contribution is extension of an earlier work of Sen Gupta and Dutta.