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Process Optimization of Filling Up Crystallization

✍ Scribed by I. Markovits; B. Farkas; J. Farkas; P. Róna; V. Rausz; G. Jani-Vakulya; K. Nagy

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
340 KB
Volume
33
Category
Article
ISSN
0930-7516

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This paper presents a new procedure for optimization of continuous mixed suspensionmixed product removal (MSMPR) crystallizing systems. Owing to the difficulties of theoretical modelling, simulation of the MSMPR crystallization process is based on the use of artificial neural networks (ANN). The opt