SIMULATION AND NEW SENSOR TECHNOLOGIES FOR INDUSTRIAL CRYSTALLIZATION: A REVIEW
- 20 January 2002
- journal article
- review article
- Published by World Scientific Pub Co Pte Ltd in International Journal of Modern Physics B
- Vol. 16 (1) , 346-353
- https://doi.org/10.1142/s0217979202009858
Abstract
A significant proportion of materials are produced in crystalline form. Many of these crystals are produced by nucleation and growth from solution. In these processes, the control of the crystal size distribution can be critically important for efficient downstream operations such as filtration and drying, and product effectiveness (e.g., flowability, bioavailability, tablet stability). Such control has recently become possible due to new sensor technologies that can peer into the crystallization process as it occurs, and high resolution algorithms which can efficiently simulate crystallization processes. This paper provides an overview of recent advances in areas.Keywords
This publication has 40 references indexed in Scilit:
- Direct Monte Carlo simulations of coagulation and aggregationJournal of Aerosol Science, 1999
- Particle and droplet size analysis from chord distributionsPowder Technology, 1999
- Computer simulation of protein crystal growth using aggregates as the growth unitJournal of Physics D: Applied Physics, 1998
- Modelling of industrial crystallizers, a compartmental approach using a dynamic flow-sheeting toolJournal of Crystal Growth, 1996
- Metastable Solution Thermodynamic Properties and Crystal Growth KineticsIndustrial & Engineering Chemistry Research, 1996
- On‐line determination of supersaturation of a kcl‐nacl aqueous solution based on density measurementThe Canadian Journal of Chemical Engineering, 1994
- Measurement of supersaturationCrystal Research and Technology, 1994
- Simulation of lysozyme crystal growth by the Monte Carlo methodJournal of Crystal Growth, 1991
- Growth rate dispersion in a continuous sucrose crystallizer and its effect on CSDChemical Engineering & Technology, 1990
- Simulation of Crystal Size Distribution in a Continuous Sodium Chloride Crystalliser under Diffusion Controlled ConditionsChemie Ingenieur Technik - CIT, 1990