Monte Carlo simulation of the crystal size distribution in a continuous sucrose crytallizer

Bhaskar Sen Gupta; Tapas Kumar Dutta

doi:10.1016/0300-9467(91)80028-U

Monte Carlo simulation of the crystal size distribution in a continuous sucrose crytallizer

Research output: Contribution to journal › Article › peer-review

Abstract

Monte Carlo simmulation provides an easy way to predict the product size distribution from a continuous crystallizer using mixed suspension with mixed product removal (MSMPR). A mathematical model and simulation technique have been developed for this purpose. The simulation results are compared with the available experimental data obtained from a continuous sucrose crytallizer.

Original language	English
Pages (from-to)	B35-B41
Number of pages	7
Journal	The Chemical Engineering Journal
Volume	46
Issue number	2
DOIs	https://doi.org/10.1016/0300-9467(91)80028-U
Publication status	Published - Jun 1991

ASJC Scopus subject areas

Biochemistry

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title = "Monte Carlo simulation of the crystal size distribution in a continuous sucrose crytallizer",

abstract = "Monte Carlo simmulation provides an easy way to predict the product size distribution from a continuous crystallizer using mixed suspension with mixed product removal (MSMPR). A mathematical model and simulation technique have been developed for this purpose. The simulation results are compared with the available experimental data obtained from a continuous sucrose crytallizer.",

author = "{Sen Gupta}, Bhaskar and Dutta, {Tapas Kumar}",

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AB - Monte Carlo simmulation provides an easy way to predict the product size distribution from a continuous crystallizer using mixed suspension with mixed product removal (MSMPR). A mathematical model and simulation technique have been developed for this purpose. The simulation results are compared with the available experimental data obtained from a continuous sucrose crytallizer.

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Monte Carlo simulation of the crystal size distribution in a continuous sucrose crytallizer

Abstract

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